active network management trial · active network management trial session 3a ... observation times...

Active Network Management Trial

Session 3a Tim Manandhar | UK Power Networks

Graham Ault | Smarter Grid Solutions

In partnership with:

Contents

• Background

• FPP ANM Trial approach

• Case study network

• ANM system implementation: architecture , tests and

configuration

• Key learning outcomes

• Challenges and next steps

Background

What is ANM?

• Automated, distributed, real time control

system

• Software based solution

• Differs to protection and SCADA systems

• Can manage power system problems

• Thermal Constraints

• Voltage Constraints

• Fault Level

• Controls generator output in real time

Active Network

Management

Software

Network Distributed

Generation

Novel areas of the FPP ANM trial

• Integration and coordination of multiple smart solutions -

Quadrature-booster, Dynamic line rating, Automatic Voltage

Controller, RTUs

• Demonstration of generator control with an innovative

commercial arrangement: Capacity quota

• A system integration approach with open standard

communications to integrate multi-vendor devices - IEC 61850

• ANM communications over a purpose-built DNO

communications platform – Radio Frequency mesh

Secure, autonomous, scalable and resilient.

No risk to operational assets

No interference to the existing SCADA system

Fail-safe and dual redundancy

Maximise DG export at all times

ANM key Design principles Tim

ANM Trial Approach

12 Hypotheses Use Case learning outcomes

Distribution DER

Power control

G Process

Enterprise

Operation

Station

UKPN substation DG substation

Market

Customer

Premise Transmission Generation

ANM UKPN SCADA

PI historian Vendor support

Smart devices

Measurements

UKPN Control Centre FPP

Closedown

slides

Generator controller

Key Case Studies Tim

Active Power flow Active Voltage management

Thermal estimation

March Grid

N-1 rating 45MVA

33.5MVA

ANM Operational

envelope

March Grid case study: Reverse Power Flow

DOC constraint

March Grid

33.5MVA

Uplift in

ANM Operational

envelope

March Grid case study: Reverse Power Flow

Removal of DOC constraint

N-1 rating

0% 20% 40% 60% 80% 100%

Percentile [%]

Transformer rating20

March Grid Reverse power flow (RPF)

98% 100%

Duration of RPF without flexible generation

Increased duration of RPF with the added 19MW DG

Power flow Duration curve based on 5 years historic data

Duration when ANM would take curtailment action

ANM system architecture

Graham

to start

ANM system configuration

• Settings required: – Thresholds

– Operating margins

– Timers

– Fail safe mechanisms

• Control Settings

Methodology

enhanced

Power Flow At Constraint Location

System limit

Global Trip

Sequential Trip

Trim Less

Reset Less

Global Trip Operating Margin

Sequential Trip Operating Margin

Trim Operating Margin

Reset Operating Margin

Graham

Say something about the

requirement for setting

methodology, previous

practice and what was learned

in FPP

dPRTDTD

downNFGupexistingTrim

upNFGupexistingTrim

Theoretical under-pinning:

Logical principles of escalating control action:

Parameters Trim Sequential trip Global trip Release Reset

Thresholds 40.5MVA

(0.9 x limit) 42.75MVA

(0.95 x Limit) 45MVA

(1 x Limit) N/A

36MVA (0.8 x Limit)

Observation Times 6 seconds 5 seconds 4 seconds 10 seconds N/A

Response times 20 seconds 20 seconds 4 seconds N/A N/A

Ramp Step N/A N/A N/A 500kW N/A

ANM system configuration

• Factors included:

– System limit

– Ramp rates

– Network safety parameters

– Communication network

Graham

Say more about how

the parameters are

set based on the key

factors and

something about the

implications of the

settings

Robust Test Framework

Real Time MP

Simulated Non-Firm

Simulated Firm DG

Simulated MP

2 SGS Connect

(inc. Generator Simulator) 12 RTUs

RF comms

Master eBridge

eBridge

2 SGS Applications

2 SGCore & ComHUB

Substation

eBridge

(QBCS, AVC, DLR, WS)

RF comms

UKPN IT

ENMAC PI MP Simulator

4 SGS Connect

(inc. Generator Simulator)

Fore Hamlet FPP Trial Area Nelson Street

Graham

Say something about

how the testing worked

in practice

Trial results: Power Flow Graham

Call out boxes to

highlight key factors

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

March Grid Transformer DG1 Power DG2 Power DG3 Power

Firm Generation Power DG1 Setpoint DG2 Setpoint DG3 Setpoint

Global Trip Seq Trip Reset Trim

Trim Less Reset Less

Call out boxes to

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

1. Firm DG ‘forced’ increase to create

thermal breach

Call out boxes to

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

ach2. Thermal limit reached at MP

Call out boxes to

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

3. DG set-points calculated and

issued on pro-rata basis

Call out boxes to

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

4. DG ramp-down in compliance with

set-point instructions

Call out boxes to

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

5. Power flow at network constraint

below threshold

Call out boxes to

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

6. Adjustments possible to fully use

thermal capacity

Call out boxes to

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

7. Driving force on

constraint removed

Call out boxes to

18:37:00 18:38:00 18:39:00 18:40:00 18:41:00 18:42:00 18:43:00

8. DG full release starts

Trial results: Voltage Graham

Call out boxes to

13:01:00 13:02:00 13:03:00 13:04:00 13:05:00 13:06:00 13:07:00 13:08:00 13:09:00 13:10:00

DG 20 Reactive Power DG 20 Reactive Setpoint DG 20 Real Power DG 20 Real SetpointFirm Generation Power MP 20 Voltage Upper 1 NominalUpper 2 Lower 1 Lower 2 Release Low

Call out boxes to

13:01:00 13:02:00 13:03:00 13:04:00 13:05:00 13:06:00 13:07:00 13:08:00 13:09:00 13:10:00

1. Firm DG ‘forced’ increase to create

voltage breach

Call out boxes to

13:01:00 13:02:00 13:03:00 13:04:00 13:05:00 13:06:00 13:07:00 13:08:00 13:09:00 13:10:00

h2. Voltage limit

breach identified at MP

Call out boxes to

13:01:00 13:02:00 13:03:00 13:04:00 13:05:00 13:06:00 13:07:00 13:08:00 13:09:00 13:10:00

3. DG Reactive Power set-point

issued with response (but not

enough!)

Call out boxes to

13:01:00 13:02:00 13:03:00 13:04:00 13:05:00 13:06:00 13:07:00 13:08:00 13:09:00 13:10:00

4. DG Real Power set-point issued

with DG ramp-down started

Call out boxes to

13:01:00 13:02:00 13:03:00 13:04:00 13:05:00 13:06:00 13:07:00 13:08:00 13:09:00 13:10:00

5. Voltage target achieved (above

nominal)

Call out boxes to

13:01:00 13:02:00 13:03:00 13:04:00 13:05:00 13:06:00 13:07:00 13:08:00 13:09:00 13:10:00

6. DG Real Power release starts

Call out boxes to

13:01:00 13:02:00 13:03:00 13:04:00 13:05:00 13:06:00 13:07:00 13:08:00 13:09:00 13:10:00

7. DG Reactive Power release starts once DG

Real Power fully released

ANM System, Test and Trial Learning

• Integration and trial of novel components of FPP solution:

– Multiple network constraint types

– New controlled devices and technologies

– New ICT enabling technologies trialled

• Significant learning on the applicability and implementation of ANM

control of a wider range of smart network solutions

• Significant move towards standard technical and commercial

solutions for ANM generation connections

Key learning outcomes

• Functional and non-functional requirements

• Significance of end to end monitoring

• Easy access to system performance statistics

Specification – Future

deployments

• Learning from both experimental trial and desktop studies.

• Linking with another LCNF Tier 2 project - Energy storage desktop study

Demonstration of FPP Use cases

• Learning in Identifying limitations and areas for improvement – E.g comms issues

• Need to simplify and standardise the ANM - Generator interface design

• Management of cyber security risk at ANM-DG interface

Operational performance

• Understanding of system as a whole – components and relationships

• Monitor, Re-assess and fine tune

Methodology

to configure & manage

Central ANM Controller Comms

Local ANM Controller

DG control System

Curtailment

instruction

Curtailment

Confirmation

DG Plant

Normal Operation

Configurable timer settings

FPP Communications delay Local system

Generator Plant

delay Application

e.g. TCP/IP keep alive, RF mesh hops e.g. Device timer e.g. Ramp rates Application timer Fine Tune

Breach of a constraint threshold

Constraint managed

Key learning outcomes – System Optimisation

Breaker

Power export reduced

Exploit FPP learning for Business as Usual rollout

Formal ANM system management process

ANM monitoring and reporting facility for ANM BAU

Improve performance and reduce curtailment levels

Next steps Tim

For more information visit ukpowernetworks.co.uk/innovation

Successful deployment of new commercial arrangements and interoperable

smart grid components to deliver faster and cheaper DG connections

Engaged with 50+ DG developers

Interviewed 20

Trialled two DG access principles:

LIFO and Pro–rata capacity quota

Made 40 connection offers:

• 15 accepted, 54.4MW enabled,

£44m savings

Commissioned RF mesh wireless

network for wide area comms

Developed analysis tool for

investment options in DG

dominated networks

Integrated and commissioned smart

devices across 12 sites

Deployed IEC 61850 for

interoperability between solution

components

Installed and commissioned first

quad-booster at 33kV

Key achievements of Flexible Plug and Play

active network management trial · active network management trial session 3a ... observation times...

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