national workshop on need for real-time monitoring of
TRANSCRIPT
National Workshop on
Need for Real-time Monitoring of Rooftop Solar Systems
-Sharing of International Experience
Monday, 7th
June 2021 |9:30 AM-11:00 AM (IST) & 4:00 PM-5:30 PM (IST)
Session 1: 9:30 AM- 11:00 AM (IST)
Opening remarks: Mr. Amitesh Kumar Sinha, Joint Secretary, Ministry of New and
Renewable Energy (MNRE)
India is targeting 175 GW of RE capacity till 2022, wherein contribution of solar rooftop
is very important and so far 4.5 GW of solar rooftop has been installed. At present,
DISCOMs are facing challenges in assessing quality of solar rooftop system installed as
well as in predicting the energy supplied by the solar system in their distribution
network. For utility scale project, the provision on Deviation Settlement Mechanism is
applicable but for distributed solar, mechanism needs to be developed for monitoring the
energy being injected in the grid. The monitoring of variability in the energy generated
by distributed solar would help DISCOM in managing frequency, voltage, etc.
efficiently. In future, the variability of solar energy needs to be tackled and mitigated by
implementing storage systems, and also by adopting accurate forecasting which will help
in better scheduling. In this background, real time monitoring becomes very important.
MNRE is also exploring options for establishing the centralized level monitoring system
where all the systems will be connected and monitored and data would be available to
DISCOMs to analyze & monitor the performance of the installed systems.
Speaker 1: Geoff Stapleton, Managing Director, Global Sustainable Energy Solution
(GSES):
Australia is a large country with inter connected grid and most of the population is from
the east coast. In the east coast grid, there is a 40,000 km of transmission line, 850,000
km of distribution line and 9.7 million connections to the grid. There are 2.7 million PV
installations in Australia with a cumulative capacity of 21.4 GWp, and thus solar is the
largest single generator with more than 25 percent of total household in Australia having
solar rooftop generation. In the last few years, there has happened PV growth in the large
utility scale system, otherwise most of the installations were happening in residential &
commercial. There has been issue of voltage rise in some of the grid resulting in the
instability, due to which the monitoring system was required. In Australia, there are
different products available for monitoring depending on the size and requirement. In
first example, inverter manufacturers provides monitoring platforms and basically the
residential customers prefer to use them to look after their system performance. One of
the company which has a major impact on the solar market is “Solar Analytics”. They are
involved in large number of government run programs and their real time monitoring data
is actually built in the government system. It has actively managed platform and a
diagnostic algorithm runs in the background. Another product is SwitchDin which is
cloud based and MODBUS based which provides monitoring and control across a
number of devices and lots of data can be collected. On the large industrial & utility scale
side, Meteocontrol is used which allows for string monitoring and also helps in
forecasting based on the historical data. Another example is Azzo which provide
solutions specific to particular plant requirements and uses high SCADA equipment to
provide end to end solutions to stakeholders. Selection from among various equipment that is
available in market is also critical to ensure customer benefit from it. With the involvement
of different type of assets like hospitals, government apartments, etc., GSES asset
management provides monitoring for solar assets portfolio managers. It helps in monitoring
different type of assets based on different parameters like in Australia they use performance
ratio which would then give an idea of different losses happening in the system. GSES
also have a website maintained and regulated by IRENA, so as to gather the real time
data and look over the generation happening across.
Q&A Session:
Q What is the percentage of capacity that have been deployed in Australia with storage,
as the system costs are high? How the DISCOMs are managing with the revenue
losses, as the consumers are shifting to solar power?
A There is a very small percentage of PV installation is done along with storage, and
only the Government and the utility are putting plant with storage. The government are
bringing in solar fee to be paid by consumer for using distribution network, as the
power from solar plant uses the transmission infrastructure. As a result, the consumer
bill cannot be reduced to zero and a minimum amount need to be paid by them to the
utilities. This will help the utility in making some revenue and help in proper
maintenance of their infrastructure.
Q Do you use inverter to record all solar parameters or some parameter from inverter
and some from smart meter?
A The parameters are collected from both the smart meter as well as the inverter.
Q Which communication system is being used in the solar system and how you deal with
communication failures?
A In Australia, the communication mostly happens with the usage of internet, as most of
the areas has a good internet connection. But still there are issues in the remote areas
and they have a problem with data connectivity.
Q How do you communicate with solar generator for regular maintenance and
emergency?
A The level of monitoring is done up to the string monitoring, but it depends on the size of
plant.
Q What are the important parameters to be monitored from utility perspective?
A Energy generated from the system and Voltage rise.
Q How did you deal with the vendors and integrate all of the system for monitoring?
A In Australia, the utility use MODBUS which is a very common form of communication.
MODBUS is used by many smart meters company as well.
Q MODBUS based software are used for communication and also by utility for specific
function like demand response, who is the owner of these system, if they are put by
utility or aggregator?
A Customer owns the system, switchDin is sold to customer and the government uses that
to communicate to the site.
Q What is the additional cost that comes up by adding remote monitoring?
A Mr Geoff will get back.
Q What is the real time monitoring level in Australia, if it is centralized or utility or
individual level?
A Central monitoring would be responsibility of utility.
Speaker 2: Mr. Dinesh Babu, Team Leader, World bank:
With the emerging digital ecosystem, stakeholders are feeling the need of an online
monitoring system, to analyze data for policy making and allow different stakeholders to
see the whole value chain. Different stakeholders have different requirements, such as
Policy & Regulatory body has to visualize the project status & environmental impacts,
whereas DISCOMs requires data for improved demand forecasting & scheduling. Thus,
NISE laid down a pilot project in association with CREST at 40 different sites in
Chandigarh with a cumulative capacity of 9.4 MWp. Under the SUPRABHA program,
performance assessment of pilot project was carried out, challenges & key takeaways
were noted, and activities were listed as per UNFCCC guideline for carbon assets at these
sites. One of the challenge encountered was that each inverter OEM has separate
communication protocol and different format. So, it was decided to take data from energy
generation meter rather than individual inverter. The data logger of NISE used MODBUS
technology whereas the meter used the DLMs. So, a converter was placed to record data
from meter and push date into the cloud after conversion. Interoperability issue,
communication protocol, and multiple inverter OEM onboarding were the main
challenges. Thus it was recommended to have standardization of communication protocol
at national level, and standardization of specification of data acquisition hardware for
future interconnection. Also, a smart metering based technology will be more efficient to
monitor health of the plant instead of a data logger. Based on the experiences, CREST
suggested to have standardization of protocol for both hardware & software, so that
centralized system can be created. Whereas, NISE recommended for standardized
communication protocol, inclusion of random data validation, and DISCOM should
identify company which have cloud facility to push the data.
End of Session 1
Session 2: 4:00 PM- 5:30 PM (IST)
Speaker 1: Mr. Markus S, Manager, Tetra Tech, UAE:
The solar rooftop monitoring is needed by the DISCOMs or utility so as to understand the
behavior of the grid and the systems with the increased level of penetration of the solar
power in the system. It is also needed to reduce power purchase from bulk generators,
thus reducing operational cost. Level of readiness at utility level and prosumer level are
required for being able to monitor the system. Monitoring is a data intensive activity and
so large amount of data would be gathered with the start of real time data monitoring.
This would require data cleaning and data acquisition at consumer & distribution level.
Type of consumer using the power is critical for the utility and integration of different
types of power system or rooftops distributed across the distribution network is very
difficult to be handled by the utility. From data acquisition point, a basic layout system
should be there wherein readings can be aggregated from consumer at distribution
transformer level. Data collection depends on the levels of usage & generation. Time
stamping of the data depends on the level of information needed, size of the system and
the impact of the system on the distribution nodes. Normally, consumer transformer (CT)
& switchgear are not upgraded, and so in many countries there is a standard procedure in
rolling out programmable breakers with remote data link as it will also help in data
acquisition. Thus, Capacity building is required at DSO level like, understanding of solar
system design and engineering so as to keep everything standardized and easy to
replicate. Pre-standardized procedure helps in making the whole system consistent and at
the same reduces the cost for all of the stakeholders involved.
Speaker 2: Mr. Michael Ingram, Chief Engineer, National Renewable Energy Laboratory,
USA:
The modern grid is now depending more on the communication with the emphasis on
how the information moves and communicate. The NIST has developed framework &
roadmap for smart grid interoperability standards shown as spaghetti diagram which
translates deep interconnection. The series of interconnection presents challenges to grid
operator, market, distribution system, and to the prosumers. Considering the USA
scenario, IEEE 1547 standards are followed for interoperability system but this standard
has a limitation of only considering the power connections. In reality, interoperability is
just the local interface between DER and local distribution connection with respect to
communication. The Network adapter, communication network, and interface to
operation are not included in 1547 standards, so North American Reliability Corporation
(NERC) has given certain considerations. It was found in the USA that connecting all the
system regardless of their size back to the operator is impossible. One of the
recommendation would be to connect DERs with energy management system for
aggregation and then communication is passed to aggregator. It’s also passed in some
consideration to electric power system operator, and in some penetration it is passed up to
bulk power system operator. So, the DER must be able to respond from external control
to disable permit service, limit active power, as well as changing parameters for control
& protection such as shifting from certain modes of operation for voltage & reactive
power provisions. In the USA, all of the devices are certified by type testing. Basic for
the certification is that the DER must be able to perform all the operations that are
required in the grid code and the standards, and also respond timely to communications
whether that is a request for information or request for operational control. Federal
Energy Regulatory Commission has recently passed a ruling referred as order 2222,
which allows DER to participate in aggregation at the bulk power system level to act as
system resource and provides communications essential for that function.
Speaker 3: Dr. Garrett Good, Research Associate, Fraunhofer IEE:
The solar monitoring spectrum are defined under three levels, first level is when there is
no monitoring system or real time data available, second level is when there are partial
applications and third is when all of the plants are connected to monitoring system. If
there are no real time data available, we will have to depend on physical models for real
time and have to take satellite and weather data for forecasting. When there are some
plants, then reference plants will be used to extrapolate real time date or use machine
learning algorithm on reference plant to forecast. In the third scenario, real time feed in
will be known and there will not be difficulty in forecasting. Germany comes under the
second level which is partial scenario in the solar monitoring spectrum. There are plants
available that are measured with data, while some do not, as data are protected at these
plants by certain companies. Currently in Germany, half of the capacity is in medium grid
and though 97 percent of plant is in low voltage grid but it comprise of 55 percent of
capacity. So, basically there is the problem in forecasting the amount being fed into the
grid regionally as real time monitoring is not available for each plant. There are
limitations to power modelling, which are generalization & assumption about the
hardware, material, of efficiencies, etc. However, even if all of the specification of the
plant are known, it would be difficult to get data about weather conditions or other factors
like shading, fog, snow accumulation, soiling etc. Thus, in order to reach granularity
there has to be data available for each plant. It has been concluded that lack of rooftop
monitoring will complicate real time estimation which will increase necessary reserves
and market costs and hampers progress. Thus, rooftop monitoring should be included.
Speaker 4: • Dr.-Ing. Eckehard Tröster, CEO, Energynautics GmbH, Germany:
Energy scenario in Germany clearly shows the expansion of solar share in the installation
over the years. Considering the latest data it can be seen that for the load demand of 65
GW, more than half of it was supplied through solar. From the perspective of real time
monitoring for grid stability, IEA defines 6 phases of VRE integration. Wherein, under
phase I no impact can be seen on system level, under phase II it becomes noticeable,
under Phase III flexibility becomes relevant, and under phase IV stability might be an
issue. As an example, Control Centre of renewable energies in Spain are able to optimize
the operation with regard to security and supply, and doing calculations depending on
certain grid situation very successfully. However, from the perspective of German DSO,
the distribution system is changing wherein we are getting more PV share, 97 percent of
the generation units are now located in the distribution system. As per the experience of a
German DSO, PV data are not currently being monitored in SCADA system irrespective
of very high share of PV in their mix. But, they have short term plans to comply with
Redispatch 2.0 and under long terms to include smart meter data. It has been concluded,
real time monitoring of PV system is very important especially for PV operators to detect
early if there is any failure. Also in the short run, systems with size greater than 100 kWp
will be included for Redispatch 2.0 and for long run smart meter will be aggregated &
data will be used for system operation.
Q&A Session:
Q Can the real time monitoring could also end up in DISCOMs in having control over the
export?
A It is Possible with the Advance metering system like the system introduced in Germany
but it is a very high secured system. So, rather a cheaper solution would be sufficient,
and at the end of the day it is also a question of contract. We can observe information
technology is coming more into the usage in daily life like example of mobile
technology, where controllability is getting cheaper and we are getting used to
organizing big data. So, there is an option of using monitoring & control for DISCOM.
Q If any presenter can share any live monitoring dashboard and also explain how it can be
used for our advantage (like using EV charging) for reducing peak demand.
A The concept for integration of EV charging has been a concept for a long time. At
present they are being implemented in the new generation vehicle in the USA. One such
example is the Ford F50 lightning which is equipped with smart charger options which
can interact with the grid and control center to be able to either supply a house entirely
isolated from the grid or it can act as a backup battery for the grid and deliver for
ancillary services or certain degree of load shedding capability. Thus, it depends on
the technology and it will be developed over the years. Similarly, Volkswagen is also
working on vehicle to grid concept.
The real time monitoring dashboard was shown from the time when EMS was
commissioned, it was observed that monitoring the data helped in maintaining
frequency after installing EMS with real time feed-in.
Q What are the cost involved for whole monitoring system? Any input on the cost
involved on the consumer end and the cost for the whole system to work?
A This technology is forced into the market and the cost is to be borne by the customers.
It gave opportunity to the aggregator and system operator as they have to go for a
small cost to incorporate monitoring in their system, as major portion of the whole
ecosystem is already borne by the consumer. The price borne by the consumer is 100
Euro per year which is quite high in Germany. But there are other cheap solution also
available in the market which were less complex. So, if we remove security and
clearance level, we can have decent advanced metering solutions integrated into the
system, which is the scenario in Indonesia where the cost was 50 USD per device.
Q Whether the capital cost and the running cost of the system for real time monitoring is
borne by the government or by the consumer? What is the percentage of the system
being monitored online by the DISCOMs/utilities out of the total rooftop system
installed in the distribution area of any country? Do you believe or is it necessary to do
the online monitoring of the system for a smaller system (1-10kW), who should do for
the smaller system? Whether there is any protocol for third party data, is there any law
followed for data privacy?
A The cost is borne by the consumer in USA and Germany. It depends on the jurisdiction,
as there are option to rent as well. In Middle East it is entirely borne by utility,
whereas in Asia it is either utility or consumer.
In USA, utility have their own meter for measurement and so do not rely on the
monitoring capability built in the inverter. In case of smaller system, utilities do not
rely on these monitors but are considered in the regions where there is a higher
penetration of smaller system in the total. While in Asia, there are no monitoring of
rooftop system, every systems are monitored in the gulf region. These may be because
availability of optic fiber connection in the region and 100 percent roll out of the smart
meter. As the net meters are rolled out completely, the smaller system are monitored
mainly for financial purposes and technically no consideration for monitoring is given
for the size of the system below 1 MW. In Europe, rooftop systems are monitored for
financial balancing purposes, but technically there is no monitoring of system below
100 kW size. The utility has to decide the threshold for monitoring the system.
There is no protocol for third data party protection as the data is not that relevant. On
the security side, smart meter gateway is there to look into this aspect. But, in case of
larger system, where the data is integrated into the SCADA system, utility has to own
communication link for security reason. In USA, it is an emerging issue and level of
confidentiality is being looked after.
Q If there would be any solution to the accounting problem through Data acquisition
system? If it is similar for off-grid system as well?
A On accounting side, that is the communication problem and if we go for smaller size
then that would mean dealing with large set of data points. The data set will multiply
exponentially and for that there would be need to increase the communication &
computation power to also grow exponentially to address the accounting.
However, on the off-grid system, there is no need for such monitoring as there is no
involvement of utility and the owner is the sole stakeholder in it.
End of Session 2
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Solar Power Monitoring in Australia
Geoff Stapleton
Managing Director-Australia
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Australian Energy Market Context
1. Approximately 40,000km of transmission lines
2. Approximately 850,000km of distribution lines
3. Serves approximately 9.7 million customers
4. Largest amount of network infrastructure per capita of any electrical grid in the world.
5. One of the longest continuous end-to-end interconnected power systems (5,000km from Port Lincoln to Port Douglas)
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Solar Power in Australia
As of March 31, 2021, there are 2.77 million PV installations in Australia with a combined capacity of over 21.4GWp
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Monitoring
Reasons for Monitoring 1. Performance Monitoring
2. Operations and Maintenance
3. Monitoring for Control
a) Load control b) Battery control c) Utility (DISCOM) control d) Market participation
Factors that influence Monitoring 1. Single site or Multi site
2. System age
3. System size
4. Application
a) Residential b) Commercial c) Industrial d) Utility Scale
…The rest of the presentation will provide examples that illustrate the above
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Example 1
For a single residential site, most customers still opt to use the monitoring platform provided by the inverter manufacturer. Current inverters provide robust platforms for the system owner to monitor performance, savings, load control, system backup, and error codes and data logging for maintenance purposes.
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Example 2
Solar Analytics provides an “actively managed” platform where diagnostic algorithms run in the background to detect performance loss and identify the most probable cause. The platform can be used with any system and therefore makes for a good portfolio platform. The platform uses a simple, yet highly capable meter which is also a MODBUS gateway from control. Some utilities use this gateway to curtail generation when its too high in certain areas
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Example 3
SwitchDin is a MODBUS master which provides monitoring and control across a number of devices. The purpose of SwitchDin is to provide highly granular data set to a number of interested parties. For example the system owner can monitor performance, the utility can use the site for demand management and the retailer can use the site for market participation. The SwitchDin device is a full Virtual Power Plant enabling device
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Example 4
Meteocontrol is a German product which is best suited for large industrial and utility scale plant. The system allows for the integration of a number of field point sensors such as string monitoring, anemometer, pyranometer, etc. and uses machine learning to perform system forecasting and performance diagnositcs.
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Example 5
Azzo is a systems integration company and provides solutions specific to the individual plant requirements. Groups like Azzo are often required when the customer and the utility have specific communications and control requriements. Azzo uses high end schneider SCADA equipment to provide end to end solutions to the requirements of all stakeholders
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Example 6
GSES provides monitoring for solar asset portfolio managers. Most asset managers currently only conduct preventative or corrective maintenance but GSES asset management allows for condition (ie data driven) portfolio maintenance by providing direct advice to the site manager. This is done through a combination of machine learning and professional services.
Rooftop Solar Online Monitoring – Opportunities and Challenges
June 2021
01 | Need for Online Monitoring of RTS Systems
02 | NISE’s Pilot Program for RTS Online
Monitoring
03 | Challenges & Key take-away form NISE’s pilot
04 | Online Monitoring through AMI (Smart Meters)
05 | Opportunities for the Data Monitoring Centre to
serve various stakeholders
Agenda
Online Monitoring of RTS installations will strengthen India’s solar initiatives and facilitates stakeholder needs with the emerging energy ecosystem
Page 3
Distribution
companies
Require improved demand
forecasting and planning
Financial
Institutions
Need high quality real-time
generation data to validate
performance of proposed projects
Policy and
Regulatory
Need to visualize the project status,
subsidy flows and environmental
impacts of projects
End users Participate in energy markets, future
electricity requirement planning
Manufacturer Require real-time performance data
utilized for enhancing
product/service offerings
NISE implemented the pilot project for Performance Monitoring of Solar PV Systems capturing 40 sites with 9.4 Mwp capacity
Page 4
25 7
3
1 1 1 1 1
Site Distribution
Total: 40
2840
5395
535
50 100
70 155 300
Category wise Plant capacity(KWp)
Academic institute
Water works site
Police station
IT Park
District Court
Hospital
Sports complex
Transport facility
Total: 9.4 MWp
Communication GSM/GPRS modem for data
upload with Dataloggers
Data Access
through both
Inverter and Meter Inverter API integration
7 sites Successfully integrated
IP65 Rating for Datalogger
Developed Implementation Roadmap and procurement strategy with AMI technology for online monitoring
Support Establishment of NORS-DMC 3 As-is assessment of Pilot sites implemented by NISE
Performance Evaluation 1
Developed concept note for scaling up and establishment of NORS-DMC
Detailed Concept Note 2 Developed POADD and CPA-DD as per UNFCCC CDM guidelines for carbon
Project Design Document 4
Activities undertaken by SUPRABHA Program for establishing framework of NORS-DMC
NISE implemented a pilot program for Online monitoring of the rooftop solar installation in Chandigarh
Page 5
Weather monitoring sensors
Energy Generation
Meter
Datalogger
Dedicated NISE Cloud
Server
Inverter
Data Logger Bi-
direction Meter
API Access
Internet
Inverter OEM Server
*API access is yet to be facilitated
Internet- GPRS
(Raspberry Pi)
NISE Pilot
Parallel Meter
The pilot project led us to identify various implementation challenges and formulate key takeaways from the project
Page 6
1
2
3
Interoperability issues with components lead to redundancy of devices and added cost to the pilot
Communication protocols and hardware aspects on data acquisitions devices lacked standardisation
Multiple inverter OEM onboarding to access data API has been a challenge
1
2
3
Standardization of communication protocols for seamless implementation of data monitoring platform across India
Standardization of specifications of the data acquisition hardware for future interconnections and implementations
Onboarding of various stakeholders such as inverter OEM, project developers, consumer, DISCOMs and SNA
Challenges Key Takeaways
In terms of cost effectiveness versus value add achieved, it was observed that the value
proposition of monitoring the energy generation at ‘Solar Generation Meter (SGM)’ is the highest
considering cost, accuracy and reliability
The Advance Metering Infrastructure (Smart Meter) can be a potential solution for pan India rollout and establishing a central level data monitoring centre
Page 7
Smart Meters Communication
Network
Meter Data Acquisition
System (MDAS)
Meter Data Management
System (MDMS)
Technology components of Advance Metering Infrastructure
Advanced meter devices with
two-way communication
capabilities
Capacity to collect
information about energy
generation at various time
intervals
Transmits data through fixed
communication networks
Advanced communication
networks supporting two-way
communication
Networks such as -
• Fibre Optic Communication
• Fixed Radio Frequency or
public networks (e.g.,
landline, cellular, paging)
Software applications on the
Control Centre hardware
used to acquire data from
meters
Host system which receives,
stores and analyses the
metering information. In this
case, NISE Data Monitoring
Centre
Typical Architecture of Online Monitoring of Rooftop Solar-Data Monitoring Centre
Presentation title Page 8
Framework architecture for monitoring the performance of the Rooftop Solar installation through Advance Metering
Infrastructure (AMI) using Smart Meters at Solar generation side.
Modules
In-built communication
device
Inv 1
Inv 2
Inv x
Communication Infrastructure
Solar Generation Meter
(Smart meter)
High
End
System
(HSE)
Meter Data
Processing
Analytics &
Visualization
Data Acquisition and Processing
Solar Power Plant
Internet
GPRS,WLAN,3G,4G
Bi-directional Meter
The Data Monitoring centre can provide services to various stakeholders, including policy makers, developers, DISCOMs and consumers
Page 9
• Competitive performance benchmarking
• Access to solar performance ratings
• Access to solar component performance
ratings
• Reduced transaction costs for the
generation of climate assets
• Aggregation, processing and storing of
plant level data at central level
Developer/EPC
State Nodal Agency
Financier/Bank
DISCOM MNRE
Plant owner/Prosumer
2
4
Subsidy Allocation
Loan disbursement
based on commercial
due diligence
Net Import Net Export
Online Data
Monitoring Centre
• Neighbourhood
performance
benchmark
• Participation in
Energy markets
• Information on
demand trends
• Improved demand forecasting, planning and
scheduling
• Monitoring and meeting RPO requirements
• Generation based incentives to the project
developers
5
6
• Performance rating for developers
• Certified and validated generation data
can facilitate bankers in project yield
assessment
• Reliable information about O&M, track
record and plant performance
3
• Visibility on generation achieved and
plant performance
• Visibility on environmental benefits
achieved
1
Financial flow
Services
DMC value additions
For a Pan India implementation of Online Monitoring Centre for Rooftop Solar installations, the policy makers need to consider following factors
Page 10
Technology Specification 1 Standardization of data acquisition, processing, integration technologies, communication protocol and other specifications.
Various technologies are available in the market viz. data logger, Smart meters, API etc.
Process Oriented Methodologies 2 Making the data monitoring methodologies process-oriented and technology agnostic and providing specification
regarding the data parameters to be captured and process of data integration with central monitoring centre
Responsibilities of various stakeholders 4 Responsibilities of stakeholders such as MNRE, Discom/SNA, developer, Consumer needs to be identified. The developer
can be tasked with additional responsibility of data provision and integration with central station
Centralized vs De-centralized data monitoring centre 3 The implementing agencies can be tasked to implement the monitoring centre in respective states and provide data to
MNRE. Contrarily, a centralised data monitoring centre can be set-up at MNRE and the RTS plants are integrated directly
with the central monitoring station
Cost considerations for setting up infrastructure 5 Each monitoring technology requires different infrastructure which has different cost implications for each stakeholder
Ms Mani Khurana Senior Energy Specialist Email: [email protected] Dr Amit Jain Senior Energy Specialist Email: [email protected] Mr. Nithyanandam Yuvaraj Dinesh Babu Team Leader, EY Consortium / Senior Advisor Email: [email protected] www.suprabha.org Contact:9560719349
Thank you
NORS-DMC: Visualization and analytics dashboard for pilot sites
Page 12
Real-time Monitoring of Solar RooftopsNeeds, readiness and OM implications
Agenda
Needs for DSO/DISCOM
Readiness & Prosumer Types
OM Implications and Capacity Building
Needs for DSO/DISCOMDSO/DISCOM & PROSUMER
Solar Rooftop Monitoring - Needs
Why DSO/DISCOMS Need this capability:
- Understand the behavior of the grids and systems when solar is present.- Ensure solar integration without compromising the system stability and power
quality.- Become capable of improving their operations, reduce losses and increase
revenues.- Reduce power purchases from TSO and bulk power plants.- Increase control and load balancing capabilities.- Improve the power distribution management.
Readiness & Prosumer TypesDSO/DISCOM & PROSUMER
Solar Rooftop Monitoring - Readiness
Readiness at DSO level:- Mapping of hosting systems, with detailed loads and profiles for each area CT.- Ideally, prosumers to have single bi-directional Advance Metering Equipment
(AME).- Ideally, CT’s with remote operable breakers & programmable protections.- Registry of all prosumer’s systems, inclusive of:
- Hosting CT, kWp, kWac, grounding & Anti-islanding operation confirmation.- Advanced Metering Unit details & protocols.- Average TMY with yearly degradation.
- Define time horizon for data granularity per prosumer type and area’s CT’s.- Software capable of integrating all readings for AME’s and calculate area’s CT’s
load status real time and delivering basic (ideally, advanced, commands to the inverters.
- Data infrastructure architecture – Power line carrier Communication (PLCC) & Data Over Power (DOP) need an extremely clean and reliable power infrastructure; not recommended.
Solar Rooftop Monitoring - Readiness
Readiness at Prosumer level:
- Inverters with Anti-islanding and usual protections/actuators (OF/UF – OV/UV –ground – surge, etc).
- Ideally, advanced inverters with programmable grid responses and operation windows.
- Inverter’s capable of receiving operational instructions from DSO, either basic (on/off) or advanced (grid support).
- Data connection as defined by DSO (gsm carrier, open gsm, FO, LoRan, etc).- Basic (telemetry) or advanced AME (single and bidirectional if possible).
Solar Rooftop Monitoring - Types
Types of prosumer system from technical perspective:
- Classic residential & small commercial, where kWac <= facility supplied power or peak daytime load.
- Commercial & small industrial, where kWac <= facility daytime peak but connect direct at distro voltage.
Solar Rooftop Monitoring - Types
Data acquisition point:
- Classic residential & small commercial:- Basic.
Aggregated at distro’s area’s CT, using Advanced Metering Equipment (AME) units with grid analyzing capabilities.- Advanced (+Basic).
Rooftops with kWac >= area’s average rooftop kWac or average daytime load* 5, requested to have dedicated AME.- Integrated.
All prosumers required to have AME.- Commercial & small industrial:
- Integrated.All prosumers required to have AME.
Solar Rooftop Monitoring - Types
Data collection:
- Basic / Initial:- Data from usage and generation is timestamped stored in AME and
transmitted daily or weekly or monthly.
- Advanced:- Data is stored in AME for backup but transmitted at various time horizons,
from seconds to minutes, depending on the type of installation (grid supporting prosumer or demand regulation prosumer needs 1 second or sub-second).
OM Implications andCapacity BuildingDSO/DISCOM
Solar Rooftop Monitoring – OM & Capacity Building
OM impacts at DSO level:
- Removal of unmetered users is critical for adequate load evaluation, balancing and response.
- CT’s load and temperature monitoring.- Delivery of disconnect instructions to inverters.- Delivery of instructions to CT’s lines breakers for emergency disconnects.- Delivery of instructions to grid supporting prosumers for curtailment
and/or output adjustment.- CT’s and switchgears upgrade & modernization programs; programmable
breakers with remote data link are ideal.- Regular review and improvement of feeders and lines physical terminations
and connections.- Regular screening for grounding failures and phase leakages to ground.- Software calculating load asymmetries to prevent feeders unbalancing, voltage
and frequency excursions.
Solar Rooftop Monitoring – OM & Capacity Building
Capacity building at DSO:
- Solar systems design and engineering, inclusive of relevant standards, protections and standard interconnection schemes.
- Solar integration principles at DSO level and calculate variability boundaries.- Familiarize and calculate cancel-out/ripple effects within a given service area.- Usage of AME’s and programmable breakers as grid’s data acquisition units to
improve system monitoring.- Implement preventive maintenance programs.
Prepared by Markus Straslicka Manager Tetra Tech Inc forNational workshop on “Need for Real-time Monitoring of Solar Rooftop Systems – Sharing of International Experience”, being organized by the Ministry of New and Renewable Energy on India.New Delhi, 7th June, 2021
Real-time Monitoring and Control Informative Background on the Interoperability Requirements in IEEE Std 1547-2018
Michael Ingram, Chief Engineer
June 2021
NREL | 2
Modern Grid
Power
Information Communications
Physically how information moves and devices communicate
Physically how electricity moves and devices interconnect
What information moves and how
information is organized
Distribution Grid, Operations, Market, and Provider Challenges: • Large and variable
generation, decentralized energy resources(roof-top PVs, on-site and co-gen)
• Diversity of electricity markets, technology, and services
• Cost, cyber security, metering, communications interoperability
• New options: storage, EVs
Customer Challenges: • Different brand of
equipment, distributed energy resources
• Ease of adoption and cost effectiveness
• Grid services requirements • Optimized use of DER (e.g.,
microgrids)
Linking Grid with Customer-Side Distributed Resources
SRC: NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 2.0
SRC: NIST Framework and Roadmap for Smart Grid Interoperability Standards, Release 3.0
NREL | 4
Interoperability
“The capability of two or more networks, systems, devices, applications, or components to externally exchange and readily use information securely and effectively” (IEEE 2018)
DER
Area EPS
Local communications interface
Power interface
Interconnection System
Scope
NREL | 5
Reality
“The capability of two or more networks, systems, devices, applications, or components to externally exchange and readily use information securely and effectively” (IEEE 2018)
Operations Network Adapters
Local DER Interface
Internal DER Communication
Networks
NREL | 6
Interoperability of DER and What?
• External communications not specified in 1547
• NERC recommended considerations:
– Use cases for external communications?
– When will system be needed?
– Performance needed for specific applications?
– Parameters of network and architecture?
– What DERs will be integrated (e.g., type, size)?
NREL | 7
Screening Criteria
• When monitoring and control might be required, industry recommends screening criteria to consider
– Increased PV hosting capacity
– Anti-islanding
– “Borderline” (< 50 kW) PV systems
– PV exceeding certain capacity limits
– Single-phase lines affecting upstream three-phase lines
(JUNY, 2017)
NREL | 8
Metering, Monitoring, and Controlling
• Metering = monthly or 15-minute reads of DER production (kWh); subject to jurisdictional compliance
• Monitoring = real-time communications to utility or others; informs long-term planning, interconnection, operations
• Control = ability of utility to turn on/off grid components (e.g. curtailment of PV); maintains safety & reliability
• Dispatch = market operation (advanced control); two-way information exchange
NREL | 9 NREL | 9
Hierarchy of communications and interoperability of DERs
Requirements depend on
- DER project size
- Voltage level, overall penetration
- Market requirements
- Asset ownership
Information Exchange (Dispatch)
Control
Monitoring
Metering
Safe
ty c
on
cern
s, D
ER p
enet
rati
on
an
d m
arke
t re
qu
irem
ents
NREL | 10 NREL | 10
Hierarchical architecture for DER communications
Hierarchical architecture allows for better utility management of many DER systems than direct control
Interoperability must be defined for upstream path
Bulk Power System (BPS) Area Electric Power System Operator (AEPSO)
Distribution System Operator (DSO) Energy Management System (EMS)
Point of Common Coupling (PCC)
NREL | 11
Communications Protocols
• Non-standard (proprietary) protocols create challenges for integration
• DER must support one of the following protocols:
– SunSpec Modbus
– IEEE Std 1815 (Distributed Network Protocol 3 [DNP3])
– IEEE Std 2030.5 (Smart Energy Profile 2.0 [SEP 2.0]).
• Optional protocols permitted (e.g., IEC 61850)
NREL | 12
Information Exchange (Minimum)
• Nameplate information = basic DER installation conditions
– IEEE-1547 gives minimum parameters
• Configuration information = actual “as-configured” values of nameplate rating elements
• Monitoring information = present DER operation conditions
• Management control information = updates to DER’s functional and mode settings
NREL | 13
Management Control Capability Requirements
• DERs must be able to respond to external control by
– Disabling permit service
– Limiting active power
– Changing functional mode
– Changing parameters for control & protective functions
NREL | 14
Security Considerations
• Cybersecurity requirements are not specified in 1547
• Stakeholders should consider:
– Physical security
– Communications interface security
– Network security
NREL | 15
Test and Certification
• Interoperability testing (type-testing)
Certified by testing agency
• Commissioning testing
Local DER communications interface must:
(1) perform all read/write operations
(2) respond timely to communications
NREL | 16
Utility & Aggregators/DER Grid Services Provider Requirements
• Typically, DER operator responsible for communications connection from DSO connection to DER and/or meters
– DSO determines form (cellular, radio, etc.) and misc. details
• US FERC Order No. 2222 recommends DERs be able to
– Participate in aggregation
– Communicate essential info to distribution operator and RTO
– Meet RTO/ISO performance standards
Distribution System Operator (DSO) Federal Energy Regulatory Commission (FERC)
Regional Transmission Operator (RTO) Independent System Operator (ISO)
NREL | 17
Bulk Power System Data Needs
• Entities responsible for modeling & assessment of bulk power system – Balancing authorities – Transmission operators – Transmission planners and planning coordinators
• Examples of contextual data – energy production characteristics – aggregation basis – performance capabilities (voltage, frequency, etc.) – information model for monitoring and control
Thank You
Michael Ingram | [email protected]
National Renewable Energy Laboratory – Golden, Colorado Photo: Dennis Schroder
NREL | 19
References and Additional Reading
• Federal Energy Regulatory Commission (FERC). 2020. Participation of Distributed Energy Resource Aggregations in Markets Operated by Regional Transmission Organizations and Independent System Operators, Order 2222 FERC ¶ 61,247.
• Institute of Electrical and Electronics Engineers (IEEE) 2018. IEEE Standard for Interconnection and Interoperability of Distributed Energy Resources with Associated Electric Power Systems Interfaces. https://standards.ieee.org/standard/1547-2018.html.
• Joint Utilities of New York – Interconnection Technical Working Group (JUNY). 2017. ―03/29/17 ITWG Meeting Follow‐Ups – Monitoring and Control Screens.‖ April 28, 2017.
• North American Electric Reliability Corporation (NERC). 2017. Distributed Energy Resources: Connection Modeling and Reliability Considerations. Washington. D.C.
• ———. 2018. ―Technical Brief on Data Collection Recommendations for Distributed Energy Resources.‖ March 29, 2018.
• ———. 2020. Reliability Guideline: Bulk Power System Reliability Perspectives on the Adoption of IEEE 1547-2018. Washington, D.C.
© Fraunhofer
REAL-TIME MONITORING OF ROOF-TOP SOLAR
The German Experience
1
© Fraunhofer
About me
Dr. Garrett Good
• Research associate at Fraunhofer IEE
• Expert in PV regional power forecasting and optical flow
• PhD thesis in turbulence
Mail: [email protected]
2
© Fraunhofer
AGENDA
Solar monitoring spectrum
Where is Germany
How is that going?
intern3
© Fraunhofer
SOLAR MONITORING SPECTRUM
None
Physical power models, real-time with satellite data
Forecasting via weather predictions
Data needed on installed plants
Partial
Reference plants can be used to extrapolate real-time for nearby plants.
Reference plant forecasts possible with ML.
Reference should be not representative.
Complete
Real-time feed-in known
Even rooftop plants can be individually forecasted, i.e. regional forecasts become portfolio forecasts.
intern4
© Fraunhofer
Currently in Germany
5% of capacity in a few plants in the high(est) voltage grid
40% of capacity (3% of plants) in medium voltage grid
55% of capacity (97% of plants) in low voltage grid
5
© Fraunhofer
Currently in Germany
2 million PV plants
TSOs base power estimates on 100s or even only 10s of large reference plants
(Soon 100s of thousands)
Enough reference plants accurately reflect weather conditions everywhere.
But reference plants not representative of rooftop solar.
6
© Fraunhofer
Power estimation and forecasting
Is regional, not portfolio
TSO/DSO control areas
Sometimes TSO nodes
Lacks detail for dynamic forecasting of DSO nodes
Many plants are modelled the same
Differences within grid unknown
7
© Fraunhofer
Limits to power modelling
Generalizations in PV modelling
Different orientations, hardware, materials, efficiencies.
Lack of information
Shading, fog, snow accumulation/melting, soiling, major dust events, smog…
…could generally be detected by real-time PV data.
Exact atmospheric conditions determining irradiation on tilted surface.
Effects at individual plants can only be modelled with their data.
8
© Fraunhofer
Regional Power Estimation
1. Using reference plants
“Upscaling” estimates plants without monitoring from those with it
Forecasting uses plant forecast models trained to past data instead of live values
2. Using physical models
Various model plants
Simulated over grid
Accoding to satellite/weather data
Statistical weighting of plant types
9
© Fraunhofer
In conclusion, a lack of rooftop monitoring
Complicates
Real-time estimation / grid operation
Forecast training / accuracy
This increases
Necessary reserves
Market costs
Hampers progress
Jetzt +4h +8h +12h +16h +20h +24h +28h
Messung
Messung Zukunft
Kurzfristprognose (auch Dayahead)
Kürzestfristprognose (Intraday)
Zeit
Ein
spei
sun
g
10
© Fraunhofer
THANK YOU
intern
04:15 PM- 05.00 PM Experience and Best practice from DSO/DISCOMs around the world on the aspects of i. Need for Real-time monitoring of rooftop solar and its use
for scheduling and O&Mii. Expertise/Capacity building required at DSO/DISCOM for
Real-time monitoring of Rooftop Solar Systems
Experience from US, Germany and Other Countries Michael Ingram, Chief Engineer, Sensing and
Predictive Analytics at National Renewable Energy Laboratory
NREL, USA (TBC)(15 minutes)
Dr. Garrett GoodEnergiemeteorologische InformationssystemeFraunhofer IEEKönigstor 5934119 Kassel(15 Minutes)
Dr.-Ing. Eckehard TrösterEnergynautics GmbHRobert-Bosch-Strasse 7, 64293 Darmstadt, Germany(15 Minutes)
11
Darmstadt, 7th June 2021
Dr.-Ing. Eckehard Tröster
Energynautics, Germany
Need for Real Time Monitoring?A DSO Perspective.
• Energynautics GmbH
• PV in Germany
• Real time monitoring for economic PV operation
• Real time monitoring for grid stability
• DSO perspective
• Redispatch 2.0
• Smart Meter
• Smart Grids
• Conclusion
AGENDA
2
3
ENERGYNAUTICS GMBH
Energynautics - Areas of Expertise
SUSTAINABLE DEVELOPMENT FOR POWER AND ENERGY
Renewable Energies Distribution Systems Electromobility
Smart GridsCombustion Engine
Power PlantsElectricity Markets
Grid Codes Island & Microgrids Transmission Systems
CLIENTS INTERNATIONAL
energynautics International Work Experience
This schema illustrates only a selection of clients.
PROJECT REFERENCE:
INTEGRATION OF RENEWABLE ENERGIES IN THE INDIAN ELECTRICITY SYSTEM
GOAL
▪ Study on the integration of roof-mounted PV into Indian distribution grids
TASKS
▪ Analysis of the legal and regulatory frameworks in India as well as more detailed technical and regulatory studies for two distribution grid areas
▪ Scenario development for PV distribution
▪ Distribution grid modelling, load flow calculations, storage optimization
▪ Studies on power quality and voltage control
▪ Organization of capacity building workshops for the operators
COMMISSIONED BY
Deutsche Gesellschaft für Internationale Zusammenarbeit (GIZ), German development agency
7
PV IN GERMANY
2000
8
Wind: 62 GW
(incl. 8 GW Offshore)
PV: 54 GW
Biomass: 10 GW
Min. Demand:
32 GW
SOURCE: 50Hertz, Amprion, TenneT, Transnet BW, Google Earth
2006 2016
Wind Solar Biomass
2020
Development of Renewables in Germany
TYPICAL EXAMPLE OF PV IN GERMANY
9
Source: Google Earth
Power Generation in Germany on 1st June 2021
10Source: Fraunhofer ISE https://energy-charts.info/charts/power/chart.htm?l=en&c=DE
Source: SMA https://www.sma.de/unternehmen/pv-leistung-in-deutschland.html
PV Production on 6th June 2021 in Germany
11
12
REAL TIME MONITORING FOR ECONOMIC PV OPERATION
Real Time Monitoring important for Market/VPP Participation
13Source: Next Kraftwerke VPP Simulator: https://www.next-kraftwerke.com/virtual-power-plant-vpp-simulation/?lang=en
Typical features:
- Ticketing system
- Freely configurable reports
- Automatic error recognition
- Interpretation of error patterns
- Irradiation calculation
- Performance ratio
- String plan / Digital Twin
- Portfolio management
Real Time Monitoring important for error recognition! Various Monitoring Software available on the Market
14Source: https://www.photovoltaik.eu/planung/aktuelle-meldungen-vergleich-der-software-fuers-monitoring
15
REAL TIME MONITORING FOR GRID STABILITY
IEA defines 6 Phases of VRE Integration
16
Phase Description
1 VRE capacity is not relevant at the all-system level
2 VRE capacity becomes noticeable to the system operator
3 Flexibility becomes relevant with greater swings in the supply/demand balance
4Stability becomes relevant. VRE output can cover most of demand
at certain times
5Structural surpluses emerge;
electrification of other sectors becomes relevant
6Bridging seasonal deficit periods and supplying non-electricity applications;
seasonal storage and synthetic fuels
Real-time monitoring is one of the most importantTechno-Economic Measures
17
Monitoring and controlling VRE generation in real time decreases the number and quantity
of curtailments, maintaining the quality and security of the electricity supply.
18
Example: The Control Centre of Renewable Energies in Spain
Source: Control centre of renewable energy in Spain
source: http://www.ree.es/en/videos/corporate/cecre-control-centre
19
DSO PERSPECTIVE
The distribution system changes from pure consumption…
20
…to a production system withbi-directional load flow.
21
- System Data:
- Min Load 113 MW
- Max Load 326 MW
- Installed PV capacity: 221 MWp
- Currently no monitored PV data in SCADA System
- Short term plans to comply with Redispatch 2.0:
- Units greater 1 MW to monitor in 1 minute resolution
- 100 kW to 1 MW in 15 minutes resolution
- Long term plans:
- Include Smart Meter Data
- Develop Smart Grids
Interview with a German DSO
22
Bernhard BetzManager Grid OperationEWR Netz GmbH
New legal regulations for the extended redispatch process:
• Network Expansion Acceleration Act (NABEG 2.0)
• Valid after October 1, 2021
• All generation units greater than 100 kW have to take part.
➔ Redispatch participants increases from 80 to 60’000 power plants!
➔ DSO required to participate in the elimination of congestions and to ensure system stability.
➔Monitoring and forecasting gains importance!
➔ Cooperation between TSO and DSO required.
REDISPATCH 2.0
SMART METER GATEWAY CONCEPT
24
ControlBox
Applications
Smart Meter Gateway
Gateway Administrator
Grid Operator
Controllable Local System (CLS) Management
Act on the Digitization of the Energy Transition in 2016:
• Consumers with more than 6,000 kWh yearly consumption, and plant operators with an installed capacity of more than 7 kW require SMGW
• SMGWs of three different manufacturers need to be certified by Federal Office for Information Security (BSI) ➔ Rollout started only in 2020
First generation of SMGW:
• One load profile per day with the aggregated meter readings in 15-minute resolution
• Technically outdated, missing real-time data, control box not available
• Court stopped Rollout in March 2021
Second generation will hopefully bring more benefits!
SMART METER ROLLOUT
25
https://www.bne-
online.de/fileadmin/bne/Dokumente/Positionspapiere/2020/20200128_bne_Smart_Meter_Roll_out_the_German_case.pdf
Real Time Monitoring required for operation ofSmart grids: Example iNES
26PLC = Power Line Communication
CONCLUSION
(Real Time) Monitoring of PV Systems is very important for PV operators to secure the revenue streams:
• Early detection of failures.
• Participation in Virtual Power Plants (Aggregators, Market participation)
DSO perspective:
• Today, the system is operated (almost) without monitoring of PV.
• On the short run, larger systems (>100 kWp) will be monitored for Redispatch 2.0
• On the long run, smart meter data will be used for monitoring, this will also enable to operate smart grids.
Monitoring the distribution grid will become very important, however this is not only about PV but also other new consumers (e.g., electric vehicles, storages, heat pumps, air condition)!
Dr. Eckehard TrösterSenior Consultant & CEO
+49 (0) 6151 [email protected]
Thank you for your attention!