clnr learning objectives and project technology …...clnr learning objectives and project...

CLNR learning objectives and project technology overview

CLNR Network Trials Knowledge Sharing Event

Preston Foster

2nd December 2013

3

An industry-wide collaboration and strong consortium

• UK’s largest energy supplier and leader in smart meter deployment

• Leads on the customer-facing activities

• Researches customers’ attitudes and energy-related behaviour

• Engineering consultancy with extensive experience of the electricity industry, including smart grids

• Creates practical outputs to implement new solutions

• The distribution network operator for Yorkshire and Northeast, with 3.9 million domestic and business customers

• Operates the electricity network on which trials are taking place

• Delivers end-to-end monitoring and analysis

• Internationally recognised academic institutions

4

What are the most effective means to deliver optimal solutions between customer, supplier and distributor?

What are the optimum solutions to resolve network

constraints driven by the transition to a low-carbon economy?

To what extent is the network flexible and what is the cost of this flexibility?

To what extent are customers flexible in their load and generation, and what is the cost of this flexibility?

What are the current, emerging and possible future customer load & generation characteristics? Monitoring

Customer Flexibility

Network Flexibility

Optimum Solutions

Effective Delivery

The CLNR project has five main learning outcomes

5

Customer & Network Technology Solutions

Focussed, integrated network technology solutions installed

on four trial networks:

• Real-time Thermal Rating (RTTR)

• Enhanced Automatic Voltage Control (EAVC)

• Electrical Energy Storage (EES)

• Network Monitoring

Active customer participation to minimise electricity costs through flexibility

National smart meter data

6

CLNR: Smart grid in a box

Advanced tariffs for engrained

behaviour change

GSR by direct

contract

Novel contracts to call specific responses

Advanced tariffs for engrained behaviour

change

Domestic DSR

Monitoring

I&C DSR

Smart line drop

compensation

Constrained generation

connections

Voltage in-line

regulators at HV & LV

Voltage OLTC RTTR

EES 50kVa -

2500kVa Emerging & future

consumption trends

7

However its not about the individual elements; it’s about how we’re bringing them all together …

• New design tool (NPADDs) reflecting changes to planning standards from profiles, tariffs, DSR etc.

• Ambitious, complex and comprehensive real-time control system (GUS)

• Its taken a little longer than expected, but the project remains on track to deliver valuable and timely learning

CLNR: Smart grid in a box

8

Project Outputs

Customer and Network Trials New planning data for demand

Better understanding of how customers engage with the electricity network

The influences from low-carbon technologies on customer’s energy practices

Academic insight from customers to feed outputs: if we understand how they engage, we can influence that

Understanding on the combination of trial network technologies from smart grid controller

Learning on how we link multiple solutions to multiple constraints

Optimal Solutions and Effective Delivery Academic insight to understand combined customers and technology (including control)

‘How to’ guides for everything (control, EES, DSR etc.)

Recommendations for:

Planning Tools

Guidance Documents

Policies

National Standard

Commercial Frameworks

The Customer-Led Network Revolution

Network Trials and Simulation

Phil Taylor

Professor of Electrical Power Systems Director of Newcastle Institute for Research on Sustainability

Socio-Technical approach to Smart Grids

Network and Customer Aspects • Real Time Thermal Ratings

• Energy Storage Systems

• Enhanced Voltage Control

• Demand Side Response

What is the optimum mix of solutions to ensure electrical networks can enable the low carbon transition?

Learning Outcomes

• Learning Outcome 1 (LO1)

- Current, emerging and future customer characteristics


- Customer flexibility cost and value


- Network flexibility cost and value


- Optimum solutions – socio, techno, economic


- Embedding learning into Business as Usual for DNOs

LO3: Network flexibility trial equipment

• Four test cells

• Rural Network (Denwick)

• Urban Network (Rise Carr)

• PV Test Network (Maltby)

• Heat pump (Hexham)

• Network equipment

• Energy Storage Systems (2.5MVA, 5MWh to 50kVA, 100kWh)

• Demand Side Response (Residential, SME and I&C)

• Integrated control of transformer and regulator tapchangers across the voltage levels (66kV down to 400V)

• Real Time Thermal Ratings (Cables, Transformers and Overhead Lines)

• Integration is key, multiple active systems in collaboration

LO3: Network trial requirements

• Ensure customers are not adversely affected

• Enable model validation

• Baseline required to evaluate existing performance of the system

• Independently and in a control system

• Network interventions with multiple functions (energy storage P/Q powerflow/voltage control)

• Local measurements/Global measurements

• Interaction with other network interventions

• Distributed/hierarchical control systems evaluation

• Determine how to maximise headroom and legroom

• Millions of possible combinations

LO3: CLNR field trial design

Powerflow ManagementField Trials

Voltage ControlField Trials

Baseline Existing System Operation

Autonomous Voltage

Control Trials

GUS Individual Voltage

Control Trials

GUS Collaborative

Voltage Control Trials

Autonomous PFM Trials

GUS Individual PFM Trials

GUS Collaborative

PFM Trials

Integrated SystemTrials

LO3: Final design

• 230 trials designed

• Voltage limits tightened to instigate controller operation in voltage control trials

• Thermal/MVA limits tightened to instigate controller operation in powerflow control trials

• Baseline trials are underway

• Initial trials at LV level to minimise possible customer disruption

• Collaborative trials give network interventions electrically close precedence

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LO3: HV/LV transformer with on-load tapchanger (±8% in 2% steps)

LO3: HV/LV transformer with on-load tapchanger (±8% in 2% steps)

0.230

0.235

0.240

0.245

0.250

0.255

00:00 06:00 12:00 18:00 00:00

V (

kV)

Time (hh:mm)

Saturday 23/11/2013 - Target Voltage 1.06

Phase 1

Phase 2

Phase 3

LO4: VEEEG Methodology

Electric Vehicles: Urban and rural domestic load synthesis

Electric Vehicles, Urban and rural EV charging

Fusion of Smart Meter Data and Switch EV Data

23

LO3: 2.5MW – 5MWh Electrical Energy Storage at Rise Carr 33/6kV

A real, smart grid enabled distribution network is adopted as the case study network, to investigate the voltage problems and to evaluate the proposed coordinated voltage control scheme. This network, operated by Northern Powergrid, is a rural network located in the Northeast of England.

LO4: Case Study: (IEEE Trans SG) An example of how we use the data?

• Typical daily demand profiles from case study network SCADA data for MV feeders;

• Typical wind farm generation profile derived from 30 wind farm sites owned by Northern Powergrid;

• Domestic customer demand profile and power profiles of multiple LCTs derived from historical data from over 5000 domestic customers covering the period May 2011 to May 2012

LO4: Data from the CLNR project are used to create the future scenario

• Voltage profiles at MV feeder ends;

• Voltage profiles at LV Feeder 1 end;

• %VUF at LV Feeder 1 end.

LO4: Voltage problems in the case study network without control

• Voltage profiles at MV feeder ends;

• Tap position of the OLTC at primary substation;

• Power output of the EES at MV Feeder 1 end

LO4: IPSA2 results with Proposed Control Scheme

Network in the loop emulation results with proposed control scheme

Voltage profiles at LV Feeder 1 end Tap position of the OLTC at secondary substation

%VUF at LV Feeder 1 end Power output of the EES at LV Feeder 1 end

Summary and future developments

• Final trial rollout program near completion

• Customer Trials to be completed early 2014

• Network Trials to be completed for August 2014 (duration approximately 17 months)

• Initial trials underway

• Newcastle University/Durham University post-trial analysis already underway and brings smart meter, customer flexibility and network trials together

• Longer term view …

Very short-term RTTR forecasting

• A combined Wavelet-Transform Neural-Network approach to forecasting

• Interested in predicting the value at T+1 when we know T.....T-X

• Wavelet transform of the data decomposes the measured meteorological values into significant components which are then used to train the Neural Network

• Neural Network learns the relationship between the input values (T, T-1....T-X) and the output value T+1

• When presented with new, unseen input series, will predict the next value which can be used recursively to give a multi step forecast

Very short-term RTTR forecast

VVC in distribution networks

Voltage Var Control (VVC) is a classic control problem in distribution networks.

By controlling the voltage control devices co-ordinately, various control objectives can be achieved, such as:

- Maintaining the distribution networks operated within voltage and thermal limits;

- Minimizing network losses;

- Minimizing voltage variations;

- Maximizing DG output;

- Minimize the voltage control devices switching numbers

VVC algorithms

The following algorithms are evaluated, compared and contrasted for the VVC problem: Oriented Discrete Coordinate Descent Method (ODCDM) ODCDM is a deterministic optimization algorithm, used in the GUS control system in CLNR. Cuckoo Search Algorithm (CS) CS is a novel optimization algorithm, inspired by the brood parasitism of some cuckoo species. Genetic Algorithm (GA) GA is an optimization algorithm, mimicking the process of natural evolution. Particle Swarm Optimization Algorithm (PSO) PSO is a optimization algorithm, based on the swarm behaviour such as fish and bird schooling in nature.

Test results – Network losses minimization

The network losses at each time step and the cumulative network losses for 24 hours are shown above. The control objective is set as network losses minimization for the VVC algorithms. In baseline study, the voltage control devices are controlled locally, with predefined target voltage and bandwidth.

Sharing the lessons learned during specification,

procurement and installation


Ian Lloyd

2nd December 2013

36

• EES1 Electrical Energy Storage System (nominal 2.5MVA/5MWh)

• Enhanced Automatic Voltage Control (EAVC 3) using HV in-line regulators

• EES2 Electrical Energy Storage System (nominal 100kVA/200kWh)

• Enhanced Automatic Voltage Control (EAVC 4) of a ground mounted HV switched capacitor bank

• EES3 Electrical Energy Storage System (nominal 50kVA/100kWh)

• Enhanced Automatic Voltage Control (EAVC 5) of LV feeders

• Overhead Line Real-time Thermal Rating System • Network monitoring of Primary substations (M1)

• Primary Transformer Real-Time Thermal Rating system

• Monitoring of HV feeders (M2)

• Secondary Transformer Real-time Thermal Rating system

• HV Industrial & commercial customer monitoring equipment (M3)

• RTTR (Real Time Thermal Rating) of underground cables

• Network monitoring of secondary substations (M4)

• Enhanced Automatic Voltage Control (EAVC 1) of a primary transformer and an On-Load Tap Changer

• LV Feeder monitoring equipment

• LV In-line regulator Enhanced Automatic Voltage Control (EAVC 2) scheme

• Grand Unified Scheme (GUS)

• CLNR Data Warehouse

• Demand Response

Specifications developed during CLNR

37

Insights for DNOs • Significant project planning is required

• Novel technology brings new challenges; have a clear definition of the brief for smart equipment

• Product descriptions are vital in defining the entire range of equipment required to enable the project objectives

• R&D team interaction with business standards is key

• Engage with industry and technical experts to support system / component specification

• Involve business safety in the early stages of your product specification

Insights for Vendors • Achilles utility vendor database is a necessity

• Be aware of the awarded funded contracts and tailor your marketing and product awareness

• Prepare as much as possible to assess the market need to provide a clear response

• Deal with DNOs / consultant request for interest and respond accordingly

Insights from the specification phase Early insights

38

Supply of the solutions need to be market tested

Northern Powergrid carried out a competitive tenders in line with the EU Utilities Directive 2004/17/EC

• E-Qualification

• Qualification evaluation

• Specification issue / terms and conditions created

• Review of specification returns

• Contract negotiation

• Supplier reference checks

• Contract award

Tender and procurement process

Tender Process

39

Initial Search

Pre-Qualification Accepted for Tender

Received / Shortlisted

Limited ‘real’ supplier choice with advanced TRL & experience

40

Insights from the procurement phase

Insights for DNOs • Significant project planning is required

• Obtain strong buy in to the project from the procurement and standards sections

• Clearly define all the goods and services required during the project

• Have resource in place for new contract development and creation

• Involve business stakeholders in post tender negotiations / equipment approval

• Involve safety in the equipment approval stages of your procurement

• Plan to deal with one product requirement at a time

• Prepare for some late nights from now on…

Insights for Vendors • Be clear, open and honest in your tender returns

• Do not exaggerate the abilities or TRL level of your product

• Deal with DNOs excitement / concerns around novel technology

• Be prepared to respond quickly to questioning and evaluation queries

Early insights

41

• Safety

• TRL

• Cost effectiveness

• Deployment track record

• Efficiency/Lifetime

• Flexible approach to design and delivery

• Technical product quality

• Strong financials

Procurement evaluation criteria reflecting typical priorities for products and suppliers

42

• The process has proved to be worth the effort

• We have achieved:

• An identified range of technical and commercial options

• A well researched solutions of the technology for our trials

• An accurate market-costed set of products

• Confidence in the technical solution that we chose

• Buy-in of internal project stakeholders was key during the specification and procurement process

Full market tender: conclusions

43

Early insights from the installation phase Insights for DNOs • Novel technology brings new challenges in every conceivable aspect

• Significant project planning and enabling site works are required

• Equipment integration is extremely difficult to define and bug out

• Early engagement with internal stakeholders is key

• Up front community and local authority engagement is beneficial

• Logistics and site lifting can be complex

• Safety and training: blending new technology with existing rules is key

• Network alarms and control protocols: integrating new technology to existing processes

• Communications platforms are a greater concern than anticipated

Insights for Vendors • Safety considerations for: installation, commissioning and operation are paramount

• Existing safety rules and operational procedures are hard to change or comprehend

• Deal with DNOs excitement / concerns around novel technology

• Plan for some late nights

Early insights

44

Network trials portfolio

Equipment Urban Network

Rise Carr Rural Network

Denwick

Heat Pump Cluster

Hexham

PV Cluster Maltby

Electrical Energy Storage (EES)

2.5MVA battery at primary substation (EES1)

Rise Carr

100kVA battery at distribution substation (EES2)

High Northgate Wooler Ramsey

50kVA battery at distribution substation (EES3)

Harrowgate Hill Wooler St. Mary Mortimer Road

Enhanced Automatic Voltage Control (EAVC)

Primary substation transformer with on-load tap changer (EAVC1)

Rise Carr Denwick

Secondary substation transformer with on-load tap changer (EAVC2)

Darlington Melrose Wooler Bridge Mortimer Road

Regulator (EAVC3) Hepburn Bell AND Glanton

Switched capacitor bank (EAVC4) Hedgeley Moor

LV main distributor regulator (EAVC5) Sidgate Lane

Real-Time Thermal Rating (RTTR)

Primary substation transformer Rise Carr Denwick

Secondary substation ground mounted transformer

Darlington Melrose High Northgate

Wooler Bridge Wooler Ramsey

Sidgate Lane

Overhead lines 2 locations at 66Kv 4 locations at 20kV

Underground cables EHV Rise Carr

Underground cables HV Rise Carr

Underground cables LV Darlington Melrose

Grand Unified Scheme (GUS)

GUS central controller 14 GUS remote distribution controllers (RDC) GUS Data Warehouse

Demand response system integrated into GUS control

Monitoring

70 instances of monitoring equipment (of 3 different types) at a range of different network locations

iHost data warehouse

45

Selection of network locations

Maltby, South Yorkshire Photovoltaic test cell, PV test cell,

customer engagement, site security, communication issues

Rise Carr, Darlington Primary test cell urban network dense construction, busy streets

tight locations

Denwick, Northumberland Primary test cell rural network exposed

to the elements key for locating thermal rating equipment

Hexham, Northumberland Heat pump test cell, rural test cell small community, communication

problems

46

• 5 AVR Relay Locations

– Rise Carr Primary

– Denwick Primary

– Glanton Regulator

– Hepburn Bell Regulator

– Hedgeley Moor Switched Capacitor Bank

• Three Transformer Locations

– Darlington Melrose

– Wooler Bridge

– Mortimer Road 45548

• Regulator fitted on the network at the heat pump cluster

Fundamentals Super Tapp N+ AVR scheme fitted at Rise Carr and Denwick primary substations

Machinen Fabrik Rheinhausen and Efacec Transformer with on load tap changer


47


48

Real-Time Thermal Ratings (RTTR)

Wind cooling

Denwick overhead line - 12 months RTTR data

49

2.5MVA unit installed at Rise Carr primary substation

Installing and commissioning six EES devices in 2013

• One 2.5MVA / 5MWh unit connected at HV to demonstrate voltage control and peak shifting of network loads

• Two 100kVA / 200kWh units connected at the LV bars of a distribution substation, to support the local transformer and the HV network

• Three 50kVA / 100kWh units connected deeper into the network on an LV distributor, supporting the LV mains cable, local transformer and HV network back to the primary substation


50


Winter Forecast - Rise Carr - Peak shifting

Summer Forecast - Rise Carr - Peak shifting

51

Network Monitoring

52

• Active control system to manage the enhanced devices via state estimation and volt-var control

• Network devices can operate independently but combining the technologies could give greater benefits

• Complex algorithms in central and distributed control will define the optimum set point for each device and manage each constraint to release network headroom

GUS Control System

53

• Following a safety driven process

• Identifying key personnel

• Identifying the hazards

• Impact assessment and safety cases

• Training requirements

Safety in the business

54

• Engineering safety

• Community engagement

• Local authorities

• Fire and emergency services

• Press coverage and visitors

Safety in the community

55

Safety in installation and operation

• Working groups and planning activities

• Toolbox talks, safety walks

• CDM coordination

• Safe systems of work

• Train the business and service providers

• Issue operational guidance

• Develop operational strategy

2nd December 2013 Page 56 © Siemens T&D Ltd 2013. All rights reserved.

Northern Powergrid CLNR

Grand Unified Scheme

Dr Vincent Thornley

Siemens Infrastructure & Cities Sector

Smartgrid Division

4th September 2012 UPEC Page 57 © Siemens T&D Ltd 2012. All rights reserved.

Grand Unified Scheme (GUS)

Multi-level Hierarchical Control

Enhanced Network

Devices (ENDs)

Remote Distribution

Controllers (RDCs)

Siemens Autonomous

Substation Controller

GUS Central Controller

and Applications

Siemens Spectrum

PowerCC


NewbroughLV

RT GS

Mon4

Envoy

RDC

ASC

Darlington Melrose

LV

EAVC2

TC

RT GS

Mon4

Envoy

RDC

ASC

EES2

A123

LV

RT GS

Mon4

Envoy

RDC

ASC

Rise Carr

primary substation

High Northgate

Denwick

primary substation

Wooler Bridge

Wooler St Mary’s

Wooler Ramsey

EES3

A123

Hepburn

Bell

Mortimer Road

Tickhill

Penshaw

control centre

NMS

Enmac

Planning tools

IPSA DINIS

DEBUT

SCADA

head end

Data

Warehouse

GUS

Applications

System

Hedgeley Moor

Symbol Description

Protocol conversion, data

concentration, comms routing

GUS applications

Data storage

33 kV

66 kV

6.6 kV20 kV

LV

LV

LV

LV

LV

11 kV

EAVC1

Sn+

RT GP

TG

EAVC1

Sn+

RT GP

TG

EES2

A123

RT OH

FMC

iHost comms

GUS comms

Other comms

Non-GUS systems

Whitehouse

Broxfield

Grange Wood

Glanton

RTU

Envoy

EAVC3

Sn+

PV ClusterRural Urban11 kV

Heat Pump

Cluster 1

HV/LV substation

LV

11 kV DSR RTTR

Test Cell

TP Data

Concentrator

Aggregators

RTU

Envoy

RDC

ASC

RT OH

FMC

RT OH

FMC

Envoy Nortech Envoy

FMC FMCTech OHL RTTR system

Sn+ Fundamentals SuperTAPP n+

TG Maschinenfabrik Rheinhausen Trafoguard

TC Maschinenfabrik Rheinhausen TapCon 230

Enhanced Network Device (END)

TP Data

Concentrator

iHost

GUS

controller

EAVC4

Sn+

RTU

Envoy

EAVC3

Sn+

RTU

Envoy

Mon4

Envoy

Mon4

Envoy

Mon4

Envoy

Mon4

Envoy

Mon4

Envoy

A123 A123 Systems Grid Storage Solution

RT GS

Mon4

Envoy

RT GS

Mon4

Envoy

EAVC2

TC

RT GS

Mon4

Envoy

RDC

ASC

RDC

ASC

RDC

ASC

Broomhouse

RT OH

FMC

Scar Brae

RT OH

FMC

TP Remote

Server

RTTR

FMC Tech

remote

RDC

ASC

RDC

ASC

Mon4

Envoy

Mon4

Envoy

Mon4

Envoy

RT OH

FMC

RT OH

FMC

Mon4

Envoy

Mon4

Envoy

Mon4

Envoy

Mon4

Envoy

Mon4

Envoy

Darlington Valley

Darlington Russell

EES1

A123

Mon4

Envoy

LV

Harrogate Hill

EES3

A123

Mon4

Envoy

RDC

ASC

Stopperdale

Marwood Cres.

RT GS

Mon4

Envoy

Lloyds Foundry

Beaumont Reservoir

Mon4

Envoy

Mon4

Envoy

ADSL / Internet

GPRS / Microwave /ADSL

RTU

Envoy

EAVC1

Sn+

RT GP

TG

EAVC1

Sn+

RT GP

TG

RDC

ASC

Humshaugh

LV

11 kV Heat Pump

Cluster 2

RT GS

Mon4

Envoy

Bardon MillLV

11 kV Heat Pump

Cluster 3

RT GS

Mon4

Envoy

EAVC2

TC

RT GS

Mon4

Envoy

RDC

ASC

EES3

A123

ASC Siemens Autonomous Substation Controller

RT Cbl

EAT

RT Cbl

EAT

RT GS

Mon4

Envoy

Mon5

PrysMon5

PrysMon5

PrysMon5

Prys

Mon5

PrysMon5

PrysMon5

PrysMon5

Prys

RT Cbl RTTR Cables

RT OH RTTR OHL

RT GS RTTR Ground-mounted secondary trfmr.

RT GP RTTR Ground-mounted primary trfmr.

EES1,2,3 Battery – 5MWh, 200 kWh, 100kWh

EAVC1,2,3,4 Enhanced AVC – primary, sec’y., caps, LV reg

Mon4 Secondary substation monitoring

Mon5 LV cable monitoring

RDC Remote Distribution Controller

RTU Remote Terminal Unit

RT Cbl

EAT

RDC

ASC

RDC

ASCEAVC4

PStar

Rise Carr

primary substation

33 kV

6.6 kV

EES1

A123

RTU

Envoy

EAVC1

Sn+

RT GP

TG

EAVC1

Sn+

RT GP

TG

RDC

ASC

RT Cbl

EAT

RT Cbl

EAT

Penshaw

control centre

NMS

Enmac

Planning tools

IPSA DINIS

DEBUT

SCADA

head end

Data

Warehouse

GUS

Applications

System

TP Data

Concentrator

Aggregators

TP Data

Concentrator

iHost

GUS

controller

2nd December 2013 Page 59 © Siemens T&D Ltd 2013. All rights reserved.

Remote Distribution Controller (RDC)

Siemens Autonomous System Controller

RDC

Siemens Autonomous Substation Controller

Battery capacity

management

Thermal modelling

Local voltage

management

Local thermal

management

Capacitor management

OLTC AVC

management

Ce

ntr

al co

ntr

ol a

nd

mo

de

ma

na

ge

me

nt

MR TapCon 230

MR TrafoGuard

SuperTAPP n+

Nortech Envoy

A123 system

Prmy. S/stn.

monitoring

A123 system

SuperTAPP n+

Monitoring

RTTR

EES

EAVC

(OLTC)

EAVC

(Cap Bank)

Primary substation Secondary substation

DSRDSR DSR management

Nortech Envoy

Da

ta C

on

ce

ntr

ato

r

Abstraction Device management Coordination Network function

Component layerSGAM

ElementCommunication layer Information layer Function layer

Lo

ca

l co

ord

ina

tio

n

Network segment – Rise Carr


Substation View – Rise Carr


State Estimation – Rise Carr


Optimisation – Rise Carr (VVC module)


Optimisation Results – Rise Carr (VVC module)


Integration into business as usual


Mick Walbank

2nd December 2013

69

• How do we bring innovation in to business as usual?

• What are the challenges involved in bringing innovation into business as usual?

• What are the next steps for Northern Powergrid?

• CLNR business as usual outputs

Key questions

70

• By making changes to the way we operate

• Training our staff in how to use new software packages / processes

• By finding optimal solutions

How do we bring innovation into BAU?

71

Assess technology

Modify policy

Policy advises design


72

Assess technology

Modify policy



73

Assess technology

Modify policy



74

Assess technology

Modify policy



75

• Example – Starting point

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

10 MVA

10MVA

12MVA

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

More options to connect

76

10 MVA

10MVA

• Example – Connecting a generator

12MVA

20MVA

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

-5

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00


77

• Reinforce the network

10 MVA

10MVA

12MVA

20MVA

12MVA

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00


78

• Constrained connection – non-firm capacity

10MVA

10MVA

12MVA

20MVA

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00


79

• Battery

10MVA

10MVA

12MVA

20MVA

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

-5

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00


80

• Second generator comes along

10MVA

10MVA

12MVA

20MVA

5MVA

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

-10

-5

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00


81

• Energy management scheme

10MVA

10MVA

12MVA

20MVA

5MVA

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00


82

• Grand Unified Scheme (GUS)

10MVA

10MVA

12MVA

20MVA

5MVA

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

-10

-5

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00

0

5

10

15

20

25

01:00 05:00 09:00 13:00 17:00 21:00


83

• Real time thermal ratings

• Demand side response – increase or decrease

• Improved cyclic ratings

• Mesh networks

• Automatic switching schemes post fault


http://search.dilbert.com/search?p=R&srid=S3-USCDR02&lbc=dilbert&w=choice&url=http://dilbert.com/strips/comic/2007-08-04/&rk=15&uid=116099646&sid=2&ts=custom&rsc=hby32XdhuPIFFP9g&method=and&isort=date&view=list&filter=type:comic

84

For customers: more choice

• Understand the options

• Trust that the DNO is doing the right thing

Who pays?

• DNO? Customer? Last to connect? Shared service?

• Grandfathering rights

• Auction

Order

• Contractual requirements to make the schemes work

Customer choice

85

For DNOs:

• Will we guarantee the solution?

• Turndown in demand?

• What happens when another party wants to connect?

• How will the risk be managed operationally?

Managing the risk

86

• Updated LV design standard

- Is the ACE49 / DEBUT method still appropriate?

• Updated to provide:

- Revised customer load profiles and statistical variance on the profiles

- A method for modelling LV generation

- Profiles for LCTs

• Operational procedures for new network technology, e.g.

- Energy Storage

- LV OLTC

Next steps for Northern Powergrid

87

• Optimal solutions report

- Feed in from VEEEG and other projects

- Present Northern Powergrid’s view of acceptable risk

- Defined view of solution, benefit and cost

• Revised policy documents

- Feed in from optimal solutions report

• Application guidance for:

- RTTR, EAVC, DSR, EES

• Revision to design policy


88

• Procurement specifications

- Initially created for CLNR procurement

- Revised due to learning at each deployment stage

- Design, procurement process, installation, commissioning and analysis

• Lessons learned reports

- Capture all of the lessons

- Early lessons learned seem obvious now … we’ve come a long way thanks to LCNF

- Reports for each technology type


89

• Training packages

- Who needs to learn what?

- Matrices of staff roles and knowledge required

- Modularised training materials

- Avoid death by PowerPoint

- Case studies

- E-learning module on Smart Grid technology

• NPADDs … more to come on this


Network Planning and

Design Decision Support

(NPADDS)

Daniel Hollingworth / Ronnie Mukherjee

CLNR Dissemination 2nd

December 2013

New design and planning

tools – why?

91

0

10,000,000

20,000,000

2012 2022 2032 2042

PV Rollout

Low

Med

High

0

10,000,000

20,000,000

2012 2022 2032 2042

Domestic HP Rollout

Low

Med

High

0

500,000

1,000,000

2012 2022 2032 2042

Commercial HP Rollout

Low

Med

High

0

25,000,000

50,000,000

2012 2022 2032 2042

EVRollout

Low

Med

High

92

New design and planning tools –

Why?

– Uses ‘core’ network data

– Identifies constraint breaches

– Allows assessment of future scenarios

– Proposes solutions

– Allows the modelling of solutions

– Assists with compliance with policies

93

NPADDS Functionality

LV Design

Guidance

OHL

Design

Guidance

Voltage

Control

Policy

Context

specific

“advice”

– Connections Estimators

• High volume requests

• Yes / no result

– Designers

• Detailed assessment results

• Proposed solutions

– Planners

• Wider area assessments

• Multi-year assessments

94

Users

• Integrated assessment of HV and LV

• Multi-year assessments

• Assessment results are saved

95

Constraint Assessment

HV

LV

DEBUT Study

IPSA Study

Max demand

Min demand

% utilisation

%V drop

%V rise

Max demand

Min demand

% utilisation

%V drop

%V rise

V min

V max

V min

V max

• Method of network representation

• Needs additional classes

• Reduces risks of lock-in

96

Common Information Model

(CIM)

• Updating policy and guidance documents

• Policies linked to design tools

• Making information accessible…

…moving away from paper

97

Policies

NPg – CLNR WPD – Falcon SSE – TVV

Users Connections

Design

Tactical Planning

Tactical Planning

Strategic Planning

Connections

Systems Design

Voltage Level MV, LV MV LV

Load Modelling No Yes Yes

Solution

Coverage

AVC, RTTR, DSR,

EES

AVC, RTTR, DSR,

EES

AVC, DSR, EES

Cost Benefit

Assessment

Yes – of individual

solutions

Yes – of multiple

solution options

Yes

Assessment

Engines

IPSA™, DEBUT,

EGD

IPSA™ GE DMS

DigSILENT

98

LCNF Software Tools - Comparison

Today’s demonstration

• Low voltage PV tool

• LV multi-year assessment: LCT scenarios

• HV assessment: max demand and max generation

• HV multi-year assessment: load growth

99

NPADDS Demo

LV PV Tool

• Reports the amount of PV just before it sees voltage rise above a

threshold

• Placement weighting

• Conservatism should be added. How, how much?

10

0

NPADDS Demo

Near Mid Far

LV Multi Year Assessment

10

1

NPADDS Demo

LCT Quantity

Location

Weighting

LCT Placement

Run DEBUT /

EGD

Results

Change Year

HV Single Year Assessment

• Integrated MV/LV assessment

– Uses results from LV assessments

– Can view MV and LV results together

• Load allocation

– Use of monitoring data

• TOU HV assessments

– Use DEBUT HH results, or

– Use MDI continuous load

10

2

NPADDS Demo

HV Multi Year Assessment

10

3

NPADDS Demo

Load Growth

Factor

Max Demand:

DEBUT

Substation

Results

Max Generation:

EGD Substation

Results

Run IPSA Load

Flow

Results

Change Year

• Solution Modelling

• Policy Integration

– Search tools

– Context specific advice

• Incorporate Learning

10

4

NPADDS Next Steps

Dissemination

• Option to provide a link to a web based demonstration platform

– CLNR Test Cell Networks

• NPADDS Specification

– What was done as part of the prototype

• Enduring Specification

– Functions of a fully deployed / integrated tool

10

5

CLNR NPADDS Outputs