stgidthlismart grid technologies · th f l t i itthe new age of electricity ... using smart meters,...

S t G id T h l iSmart Grid Technologies :Portfolio Presentation

CIGRE TNCBANGKOK - 15 February 2013

Kevin W. Chiu Sr. Systems ManagerS

© Siemens 2012

Systems EngineeringSiemens, Infrastructure & Cities Sector

Energy systems worldwide are changing…

Feb 15 , 2013 CIGRE Kevin W. Chiu

Paradigm shift in power grids: Th f l t i itThe new age of electricity

Unsustainable energy system Sustainable energy system

20th Century End of 21st Century

'Generation follows load'

Fossil energy sources

'Load follows generation'

Renewable energy sources


New uses of electricity will increase demand and h ttchange usage patterns…


Looking for innovative solutions?


Significant changes in energy system require S t G id i f t t

Smart Grid offersCh ll i h i

a new Smart Grid infrastructure

Smart Grid offers solutions

Balancing generation & demand, new business models

Challenges in changing energy system

Renewable and distributed generation

Load management & peak avoidance

Aging and/or weak infrastructureCost and emissions

Limited generation and grid capacity

Reliability through auto-matic outage prevention and Cost and emissions

of energy supplyRevenue losses, e.g. non-technical losses

prestoration

Efficient generation, transmission, distributiondistribution & consumption

Full transparency on distribution level and automated loss


automated loss prevention

C t tContents

Renewable Energy IntegrationIntegration

Feb 15 , 2013 CIGRE Kevin W. Chiu 7

At the distribution level, changing in-feed patterns due to local generation are challenging existing grid infrastructure…

200

Weekly loading of a transformer station in the rural area the LEW-Verteilnetz GmbH – 2003 and today

Load in kW200

100

Load profile 2003Load profile today

0

-100

-200

-300


12:00 0:00 0:00 0:00 0:00 0:00 0:00 0:0012:00 12:00 12:00 12:00 12:00 12:00 12:00

Source: LEW

Smart Grid: M A l T k A tiMeasure, Analyze, Take Action

Smart GridUser

Interface

MeasureUsing smart meters, IEDs

AnalyzeDynamic grid analysis

Take ActionSet points for storage, l d t d


loads, generators, and trading

Low-Voltage DistributionE Di t ib ti l tiEnergy-Distribution solution

LV DistributionMV Distribution AMISMeterMeter

SENTRON T

DLCModbus

SINVERTSolar

SICAM 1703 emic

SIMEAS P

Smart

Keep voltage limitsDistribution-Network

Optimization

Meter

Improved power quality to reduceside effects

Reduce voltage dips

Increase load capacity

Improved load capacityfor decentralized power infeed

Postpone costly network upgrades


Postpone costly network upgrades

C t tContents

Energy Management SystemsManagement Systems


Spectrum PowerR d i li ith S t G id

20112010 2012 2013

Roadmap in line with Smart Grid

2014

Spectrum Power 4

Spectrum Power 7

4.70 SP1 SP2

ADMS 2

Spectrum Power 33 11

1.0 2.04.75 1.1

3.11 SP1

Spectrum Power 55.20

HIS TNA DNA IMM Web UIOTS

5.21 5.22

jOMS WPM jROS

SP1 SP2 SP1 SP2

Feb 15 , 2013 CIGRE Kevin W. ChiuPage 12

HIS TNA DNA IMM Web-UIOTS jOMS WPM jROS

DEMS as a solution for virtual power plants

Decentralized EnergyManagement SystemNetwork Control

System EnergyDecentralized EnergyManagement SystemNetwork Control

System Energy

G

Biomass Power Plant

Billing

System

Meteorological

gyExchange

GG

Biomass Power Plant

Billing

System

Meteorological

gyExchange

G

Block-typeHeating Power Plant

Flexible Loads

CommunicationNetwork

MeteorologicalService

G

Block-typeHeating Power Plant

Flexible Loads

CommunicationNetwork

MeteorologicalService

PV PowerPlants

Mod.Mod.

Meter Reading

Flexible Loads

ModMod.

+-

PV PowerPlants

Mod.Mod.

Meter Reading

Flexible Loads

ModMod.

+- +-

Communication Unit

Fuel Cells Wind PowerPlantsStorage

Mod.

ZZ

Mod.

Z

Distributed Loads

Mod.

Z

Mod.

ZZ

Communication Unit

Fuel Cells Wind PowerPlantsStorage

Mod.

ZZ

Mod.

Z

Distributed Loads

Mod.

Z

Mod.

ZZ

The DEMS approach is a management method for a cluster of distributed energy resources (generation, controllable loads and storages such as microCHP, wind-turbines, small hydro, back-up gensets, flexible loads, batteries etc.) which are collectively run by a central control entity. The concerted operational mode shall result in an extra benefit e.g. to deliver or minimize peak load electricity, balancing power at short notice or trading at energy exchanges with potential respect to capacity related system services (such as grid bottlenecks).

Feb 15 , 2013 CIGRE Kevin W. ChiuPage 13

potential respect to capacity related system services (such as grid bottlenecks).

Mi id St tMicrogrid Structure

CHP - WasteCHP WasteBio Gas

Controllable Load

UtilityGrid

C t ll blHydro

Energy Manager

Point ofLimited or not

ControllableGeneration

Hydro

Point ofCommon Coupling

ControllableGeneration

Hydro


Wind Photo Voltaic Energy Storage

Mi id E MMicrogrid Energy Manager

FeaturesFeatures

Control & optimal utilization of μG-Generators

Voltage & Frequency Secondary Control in island mode

Energy Import & Export controlgy p p

Decision for Grid Connected or Island Mode

Countermeasures against disturbances

Load Management / Demand Response


C t tContents

HVDC


HVDC d FACTSHVDC and FACTS

From To

Security, sustainability, and efficiency of power supply

Congestion, bottlenecks, and blackouts power supplyblackouts

What’s necessary:yControl of power flow Avoidance loop flows and overloadsS t i t ti ith HVDC (Fi ll)System interconnections with HVDC (Firewall)Use of integrated AC/DC systems with FACTS & HVDCSupport of voltage recovery after system faultspp g y yReduction in Transmission losses (HVDC)Use of bulk power energy highways with HVDC & FACTS


Th b fit f HVDC d FACTSThe benefits of HVDC and FACTS

Reduction in transmission losses –increase in system security

Reduction in CO2 emissions through grid access of large wind, hydro, and solar power plantsFlexibilityBulk power transmission in the gigawatt range over distances of 1,000 kilometers and more

Increase in power quality on the

Reliability ProfitabilityIncrease in power quality on the various voltage levels

Increase in system stabilityAccessibility


Trans bay cable project, USA: Security of l f S F i ith HVDC PLUSpower supply for San Francisco area with HVDC PLUS

2010Transmission constraints before TBC

2010

Transmission

E h

constraints after TBC

Elimination of transmission bottlenecksEnergy exchange by sea cableNo increase in short-circuit power P = 400 MW


short-circuit powerQ = +/- 170-300 MVAr Dynamic voltage support

C t tContents

Substation AutomationAutomation


IEC 61850 communication within a substationIEC 61850 communication within a substation

Control CenterControl CenterIEC 608705-104

DNP3 TCP

Substation Controller

1

Station bus2

3rdparty

device

Station bus

CircuitParallel wiring Process bus

3Digital Instrument CT

xCircuitBreaker

Controller

Control / Inforeport(ca. 500 ms delay time)1

2 GOOSE Inter IED Communication(ca. 10-100 ms, dep. on application)

MergingUnit


TransformerData via IEC61850-9-2

CTVT3 Sampled Values

(ca 2 ms delay time)

PRP/HSR i P ll l d Ri R d dPRP/HSR in Parallel and Ring Redundancyapplication

SC

RedundancyManager

St ti B

IED

IEDIED

Station BusPRP or

HSR in parallel mode IED

Process BusHSR

IED

IED


IED IED

application

PRP/HSR i P ll l d Ri R d dPRP/HSR in Parallel and Ring Redundancy

application SC

RedundancyManager

Station Bus

IED

Failure inIED

IEDPRP or

HSR in parallel mode IEDFailure in

parallel string

IED Process BusHSR

IED

IED


IED IED

application

IEC 61850 9 2 P B t Si E D EAIEC 61850-9-2 Process Bus at Siemens E D EA

Status Today: Get experience in evaluation projects discuss technology

other Pilotsother techn. evaluation

Status Today: Get experience in evaluation projects discuss technologywith customers.

Merging Unit

RWE pilot Nehden

Basic Researchand evaluation of

equipment

Merging Unit

Real time Ethernet module

Implementationin products

today


C t tContents

Condition Monitoring


Wh C diti M it i ?Why Condition Monitoring?

Cutback of expenditureLoss of expertise

pRetirementsDownsizing

& f Ageing equipmentPostponed invest in T&D infrastructureExtended component life-time

Higher loadingRenewable energy transmissionIncreasing energy demand

Increasing performance targets

Penalties

Condition monitoring:Condition monitoring:1. enables an effective prediction and by that avoidance of failures2. offers a possibility for safe use of assets at higher loading


and by that supports both Asset Management and Operation

CM1 Portfolio, ( ISCM2, if in-house system integration )t d d ti lstandard optional

Transformer TX-Condition MonitorG i il i i

ApplicationAsset Typex

ISCM status ModuleAsset TypeIES gas/oil/performance

C

Application ISCM status

IES

ModuleSITRAM® CMGAS G d

Transformer

GIS

Gas in oil monitoringTap ChangerPartial DischargeBushings

SF6 ( i d t l )

xxxx

SAR

can be included in CBM

S d l k

Isolators, Disconnectors, Earthing switch

GAS-GuardTAP-GuardPD-GuardBUSHING-

Guard

GIS

GIS SF6 (rem. ind. up to arc loc.)UHF partial dischargeArc detection, light sensor

xx

SAR Surges and leakage current

SurgeArresters

o

CircuitBreaker

CB CB drive, SF6, performance x ITR SF6/oil/PDITR

Balance of Plant, Auxiliaries

BatteryDiesel

OverHeadline

OHL (3rd) OHL Tension/Ampacity BoP (3rd)

Implementation if business caseUnder developmentcable

line

Cable (3rd) Cable Condition SEC Operating data, alarmsSecondary Equipment C t l &


Under developmentStand alone monitoring availableInterface ISCM realizedReleased as ISCM Ready

cable Control & Protect

1) Condition Monitoring2) Integrated Substation Condition Monitoring

ISCM S l ti d M d l I t tiISCM Solution and Modular Integration

ISCM Solution:

System-HWIntegrationOperation (optional)

ArchiveReport

-Trends-Visualisation

System HWKnowledge Modules

pEvaluateCalculate

-Limits-Algorithms

RTUData Logging

Measure

Transfer

-Select

-RTUSensors

KM Transformator


I t ti i t E A t ti I f t tIntegration into Energy Automation Infrastructure

4. Knowledge Modules( Monitoring-specific calculations and analysis )Spectrum

2. Substation Level

3. Control Center Level – Spectrum PowerCC( AS CM-System or -Center )

Spectrum PowerCC

1. Physical sensors and SCADA data( via RTU´s )

( SICAM PAS and/or SICAM 230 )

Knowledge Module

SICAM PAS SICAM 230

Knowledge Module

Knowledge Module


AK 1703 ACPBC 1703 ACPTM 1703 ACPTM 1703 mic

C t tContents

Feeder Automation


Infrastructure 50+O t i th MV Di t ib ti N t k

FISRFISROutages in the MV Distribution Network

Extra HVHV

Many times Outages in the

Distribution Automationare caused

Storm Kyrill

ratio

n pe

r Yea

r

MVLV

are caused by Components

older than 50 Years

Inte

rrup

tion

du

Example:Germany

Interruption Frequency Solution: Modernization of the Distribution Network on the long runInterruption Duration Solution: Feeder Automation

Without Automation Lange UnterbrechungszeitenHoher Personalaufwand

Loss of revenues High costs to investigate fault location

Red ced loss of re en es100%

t9060301

100%

~ 60%

~ 90%

100%100%t9060301

100%

t9060301

100%

~ 60%

~ 90%

Fault indicator

Feeder Automation

Reduced loss of revenues Reduced costs to investigate fault location

Nearly no loss of revenuesFault cleared in a minimum of time

t9060301100%

~ 60%

~ 90%

~ 80%~ 90%

t9060301 t9060301100%100%

~ 60%

~ 90%

~ 80%~ 90%


Smart-IEDSICAM 1703 emic

Fault cleared in a minimum of timeHigh customer satisfaction index

t9060301 t9060301 t9060301

Distribution Networks today – Last mileDiff US E (G )Difference US – Europe (Germany)

Transformer

Low Voltage (400V) MS Switchgear8DJH - RRT

Typical Ring Main Unit RMU, e.g. in Germany

Pole top mo nted


Pole top mounted installations US

Feeder Automation / Distribution Management R d t ti

FISRFISRReduce outage times

Power CCDEMS

Utilities motivation:

Reduce outage times by

20kVDSCADA/DMS

B BBB

S

Breaker closedBreaker OpenSwitch Closed

B

DEMS Reduce outage times by- locating the fault location using fault indicators- restore service as quick as possible

by sending maintenance directly to faulty RMU

Small solution (available)

SS

SS

SS Switch Open

DER-3

GPRS/3G

( )- report status of fault indicators via Smart IED- evaluate information in Control Center- send maintenance team to restore service

SICAMSubstation Automation

S S

BDER-1

GPRS/3GTetra RadioBPLCWiMax

E D EA approach:

Central / semi central architecture- report status of fault indicators via Smart IED

to Power CC and/or SICAM

Smart IEDFeeder Automation

0,4 kV

SS

SS

B

DER-2to Power CC and/or SICAM

- Power CC or SICAM evaluate fault location automatically - Power CC or SICAM start restoration sequence

Distributed architecturepeer to peer communication for all Smart IEDs- peer to peer communication for all Smart IEDsusing 3G or WiMax and IEC61850

- affected Smart IED are switching as necessary automatically- report new ring status to Power CC / SICAM


Implement restoration sequences for SICAM PAS / 1703 & Power CCDevelop Smart IED with IEC61850 and ring management functionality

S l ti f I t lli t Ri M i U itSolutions for Intelligent Ring Main Units

Integrarted Solution:1 RTU = CMIC

132 451 RTU CMIC

2 Accu3 Charger 4 MCPs5 Modem

FPI LV

5 Modem


System Design Architecture

CommunicationsCommunications (RuggedMax WiMax)

Automatic Controllable S it h (SDR R l )Switchgear (SDR Recloser)

Conventional Protection & Control (7SR22)

Automation Controller (7SJ80)•PLC Functionality

•IEC61850


T i l A li ti f F d A t tiTypical Applications for Feeder Automation

Fault Isolation and Service RestorationDetect and locate a fault in the feeder, isolate the faulty section and set the healthy portions of the feeder back into service

Source TransferDetect and isolate a faulty source and set the de-energised sections of the feeder back y ginto service

Load BalancingLoad BalancingBalance the load within a feeder by moving the Normally Open Point


T i l A li ti f F d A t tiTypical Applications for Feeder Automation

Sequence switchover (e.g. storm mode)Change isolation and restore sequences because of changing mode conditions

Section IsolationIsolate a dedicated section of a feeder for maintenance without affecting other sections

RestoreSet the feeder back to its defined normal/steady state


C t tContents

Automated Metering InfrastructureMetering Infrastructure


Siemens has been continuously and proactively extending portfolio and footprint in Smart g p pMetering…

North America• Acquired eMeter in USA

• Adding world-class MDM into smart metering portfolio

Asia Pacific

South America• Majority JV setup in China

• Smart metering competence center for Asia market

• Acquired SEnergy in Brazil

• Adding non-technical loss solution into smart metering portfolio

• Smart meter product for global market


portfolio

P d t t d t d

Enterprise ITCustomer Information System

Work / Asset Management System

Field Worker Management

Products on our stand today…

DistributionSpecific IT

pInformation SystemManagement System

Distribution and Outage

Management

Network Planning

Geographical Information

System

Management

IntegrationLayerEnterprise Service Bus or other integration framework

Management System

Smart GridApplications

SmartPre-Payment

Customer Data

Portal

Meter Data Management

System

Smart Meter Data

Analytics

Demand Response

Distributed Energy Resource Control

Electric Vehicle Charging Control

Load Control

EnergyIP MDM

EnergyIP Analytics

Energy Engage

Demand ResponseManagement System

Communications

Head End System / Remote Device Management

MPV M

Communications

Smart Meters,Field andPremise

Infrastructure

M M

MPanel

Controllable

M M

Distributed EnergyM

Controllable

In Home Display

Controllable

M M M M

M

M


Infrastructure

Residential Commercial and Industrial

Controllable Device

Distributed Energy Resource

Controllable Device

Controllable Devices

EV Charging

stgidthlismart grid technologies · th f l t i itthe new age of electricity ... using smart meters,...

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