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:

1

2011. UK Power Networks. All rights reserved

Contents

• Background

• FPP ANM Trial approach

• Case study network

• ANM system implementation: architecture , tests and

configuration

• Key learning outcomes

• Challenges and next steps

Tim

2


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

Tim

Active Network

Management

Software

Network Distributed

Generation

Power

3


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

Tim

4


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

5


ANM Trial Approach

12 Hypotheses Use Case learning outcomes

Tim

6

Distribution DER

X X

Power control

G Process

Enterprise

Operation

Station

Field

UKPN substation DG substation

Market

Customer

Premise Transmission Generation

ANM UKPN SCADA

PI historian Vendor support

Smart devices

Measurements

Ge

ne

ratio

n

Cu

sto

me

r p

rem

ise

s

UKPN Control Centre FPP

comms

Closedown

slides

Generator controller

Tra

nsm

issio

n

7

Key Case Studies Tim

ANM

Active Power flow Active Voltage management

Thermal estimation

8


March Grid

MP1

DOC

N-1 rating 45MVA

33.5MVA

ANM Operational

envelope

March Grid case study: Reverse Power Flow

MVA

DOC constraint

9


March Grid

MP1

45MVA

33.5MVA

Uplift in

ANM Operational

envelope

March Grid case study: Reverse Power Flow

MVA

Removal of DOC constraint

N-1 rating

10

-60

-50

-40

-30

-20

-10

0

10

20

30

40

50

60

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

Po

we

r Fl

ow

(M

W)

Percentile [%]

Transformer rating20

30

40

50

60

March Grid Reverse power flow (RPF)

B A

B

C

A

98% 100%

Tim R

eve

rse

po

wer

Fo

rwar

d p

ow

er

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

A

B

C

99%

11


ANM system architecture

Graham

to start

12


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

Trim Less

Reset

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

RTF

dt

dP

dt

dPRTDTD

dt

dP

dt

dPOM

downNFGupexistingTrim

upNFGupexistingTrim

,,,,

Theoretical under-pinning:

Logical principles of escalating control action:

13


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

14


Robust Test Framework

Real Time MP

Simulated Non-Firm

DG

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

LAN

eBridge

IEDs

(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

15


Trial results: Power Flow Graham

Call out boxes to

highlight key factors

0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)

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

Trim

Bre

ach

16



Call out boxes to


0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)





Trim

Bre

ach

1. Firm DG ‘forced’ increase to create

thermal breach

17



Call out boxes to


0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)





Trim

Bre

ach2. Thermal limit reached at MP

18



Call out boxes to


0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)





Trim

Bre

ach

3. DG set-points calculated and

issued on pro-rata basis

19



Call out boxes to


0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)





Trim

Bre

ach

4. DG ramp-down in compliance with

set-point instructions

20



Call out boxes to


0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)





Trim

Bre

ach

5. Power flow at network constraint

below threshold

21



Call out boxes to


0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)





Trim

Bre

ach

6. Adjustments possible to fully use

thermal capacity

22



Call out boxes to


0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)





Trim

Bre

ach

7. Driving force on

constraint removed

23



Call out boxes to


0

5000

10000

15000

20000

25000

30000

35000

40000

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

Po

we

r (k

W)





Trim

Bre

ach

8. DG full release starts

24


Trial results: Voltage Graham

Call out boxes to


29.00

30.00

31.00

32.00

33.00

34.00

35.00

36.00

37.00

-6000

-4000

-2000

0

2000

4000

6000

8000

10000

12000

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

Po

wer

(kW

)

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

Up

pe

r 1

Bre

eac

h

25



Call out boxes to


29.00

30.00

31.00

32.00

33.00

34.00

35.00

36.00

37.00

-6000

-4000

-2000

0

2000

4000

6000

8000

10000

12000

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

Po

wer

(kW

)


Up

pe

r 1

Bre

eac

h

1. Firm DG ‘forced’ increase to create

voltage breach

26



Call out boxes to


29.00

30.00

31.00

32.00

33.00

34.00

35.00

36.00

37.00

-6000

-4000

-2000

0

2000

4000

6000

8000

10000

12000

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

Po

wer

(kW

)


Up

pe

r 1

Bre

eac

h2. Voltage limit

breach identified at MP

27



Call out boxes to


29.00

30.00

31.00

32.00

33.00

34.00

35.00

36.00

37.00

-6000

-4000

-2000

0

2000

4000

6000

8000

10000

12000

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

Po

wer

(kW

)


Up

pe

r 1

Bre

eac

h

3. DG Reactive Power set-point

issued with response (but not

enough!)

28



Call out boxes to


29.00

30.00

31.00

32.00

33.00

34.00

35.00

36.00

37.00

-6000

-4000

-2000

0

2000

4000

6000

8000

10000

12000

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

Po

wer

(kW

)


Up

pe

r 1

Bre

eac

h

4. DG Real Power set-point issued

with DG ramp-down started

29



Call out boxes to


29.00

30.00

31.00

32.00

33.00

34.00

35.00

36.00

37.00

-6000

-4000

-2000

0

2000

4000

6000

8000

10000

12000

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

Po

wer

(kW

)


Up

pe

r 1

Bre

eac

h

5. Voltage target achieved (above

nominal)

30



Call out boxes to


29.00

30.00

31.00

32.00

33.00

34.00

35.00

36.00

37.00

-6000

-4000

-2000

0

2000

4000

6000

8000

10000

12000

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

Po

wer

(kW

)


Up

pe

r 1

Bre

eac

h

6. DG Real Power release starts

31



Call out boxes to


29.00

30.00

31.00

32.00

33.00

34.00

35.00

36.00

37.00

-6000

-4000

-2000

0

2000

4000

6000

8000

10000

12000

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

Po

wer

(kW

)


Up

pe

r 1

Bre

eac

h

7. DG Reactive Power release starts once DG

Real Power fully released

32


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

33


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

34


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

delay

Generator Plant

delay Application

delay

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

To

tal

Tim

e (

Se

co

nd

s)

Sys

tem

re

sp

on

se

tim

e

Key learning outcomes – System Optimisation

Breaker

G

Power export reduced

35


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

36


For more information visit ukpowernetworks.co.uk/innovation

37

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...

Documents

Transcript of Active Network Management Trial · Active Network Management Trial Session 3a ... Observation Times...