Overview of Brunel University National Grid CIM Research...

Brunel Institute of Power Systems

Overview of

Brunel University – National Grid

CIM Research Collaboration

EngD Environmental Technology

Gareth Taylor – Brunel University

Nigel Hargreaves

CIM Users Group, Windsor

May 17th 2012

Challenge Background

Transmission level dispatch &

frequency control

More interconnection, embedded

generation, distributed generation,

demand side management, storage

Energy Balancing

(probabilistic supply)

Increasing wind connections, outage

management

DNO & Supplier interfaces

(probabilistic demand)

DNO embedded generation dispatch

tracking, smart meter data reading

European Interconnection Balancing and flow constraint

management (Coreso, TSC)

Situational awareness &

Simulation

Forecasting, training

Key electricity industry operational challenges

Overview of CIM-related Research Activity


CIM Use Cases

for the Smart Grid Enterprise

Architecture

CIM within NG CDM

Inter-utility data model exchange

Trusted cloud

architecture

Central Model

Repository

IEC61970 Model

Extension

Energy Storage Package

Inter-operability

EngD Environmental Technology Refs: Tolk [1]; Ambrosio [2]; Hargreaves [3], [4];

Aligning Information Architectures {GWAC Stack etc.}

Corporate

Objectives

Power Utility Business Process to

Technical Process

mapping CIM

Energy control & planning systems

Ente

rprise A

rchitectu

re

Interopability

information exchange

Composability

conceptual alignment

Integratability physical connectivity

Incre

asin

g C

ap

ab

ility fo

r Inte

rop

era

bility

Enterprise Architecture

Corporate Data

Model CIM within NG CDM

Enterprise architecture supports

interoperable corporate information

processes

Corporate Data Model (CDM) is derived from system data models

within key business domains

corporate

data model

Asset

IEC61968

Call for asset

Markets

IEC62325

Conceive

Business process

Functional

IEC61970 EMS

Call for function

Interoperability - critical issues:

• Overlap between different standards

• Data ownership and persistent, unique identity

• Data security and privacy agreements

Op

CIM

EBS

DH

OLTA

EMS

Other

ESB

Enterprise

Service Bus

Power System

CIM

Reference

Server

Application of CIM research to support NG interoperability


UK Electricity Transmission:

Network Model Dataflow.

XA21

EMS

300 Sheets

(construction)

NO

OLTA

Transient

Stability

Monitor

Data

Historian

EBS

TOGA

AM

OLTA

Year

ahead

AM

Network

Investment

Proposal

Time

XA21 contains mapping of SCADA points to

network model. This is not available from

OLTA.

Also GE gateway exports in NERC profile.,

OLTA only exports in ENTSO-E profile

currently.

Thus getting network model from same source

as data is least work and risk for project.

CIM

CIM

Key

System

Process

Network Model

Meter data

Network

model as

CIM

Substation

SCS

Supplier

applies

NASAP codes foreign key

link to TOGA

Investment

Approved

Upgraded

POND

functionality

Trigger /

Data creation

Run model

until OK

Generator, DNO,

ratings data

GE

Enterprise

gateway

Asprin

DNOs,

CORESO use

ENTSO-E CIM profile

CIM

Alternate Web

interface like TOGA?

Most extensive

& detailed

network model

Ellipse

manual

Gets network model from

different source to meter

data?

Need to resolve any

inconsistencies first, and

need to map SCADA to

network model

Labelling needs to be

consistent

between 300 sheets

and OLTA

manual

Note: NASAP codes

cannot underpin consistent

labelling as they do not

give switch-level detail

Work in

progress /

Future

Scottish

TO’s,

OFTO

CORESO2011

CIM

External

Diagram courtesy of Ian Hornby, National Gid.

Information exchange evolution for smart grid interoperability


NG

DNO

TSO

DNO

OFTO

NG

Terna

RTE

50 Hertz

ELIA

RCSC CIM

CIM server

Regional Coordination Service Centre (RCSC); merged network information

models, forecasts, constraint warnings, interconnector management, etc;

High speed data links providing inter-ESB communications. May be through a trusted private cloud or private community cloud providing model validation, powerflow analyses, etc.

Electricity industry data pathways could utilise clouds

Storage:

Grid/Distribution codes compliance

Services Capability Specification

Supply and demand data

File format transformation

File format validation DNO DNO

DNO DNO

Network

Models

TSO TSO

OFTO OFTO

OFTO OFTO

Regional

Coordination Service

National

Grid

Suppliers

Suppliers

Suppliers

Suppliers

Processes: Network model updates, merging

Reporting – real time to +2 week

Review

Situational awareness

Generators

Generators

Generators

Generators

Meter Data

Embedded

Generation

Network

Parameters

Gen. O/P

AGR settings

Boundary

Models

Network

Models

Service

Parameters

Information use cases to support NG-Coreso interoperability


National Grid GB reduced network model in CIM, daily.

Information use cases to support NG-DNO interoperability


UKPN NG

Merged Equiv.

Cimphony web services deployed on a Eucalyptus cloud infrastructure:

Web services provided – model merge, validation and model export in PSS/E

MyTrustedCloud DNO-NG data use case

Refs: Wallom et al, [5];

Current collaborative research

• Data identity management using multiple namespaces – as

an efficient approach to network resource identity management within a multi-model repository scenario…

Data Management objective: system-agnostic data models


Power System 1

Different CIM namespace for each power system

Same Network Resource

Resource

Resource

Name 1

Name 2

RDF:ID 1

RDF:ID 2 Power System 2

Model Merge (CIMdesk)

Resource UUID

RDF namespace Power System 1

RDF: ID 1 Name 1

UUID RDF namespace Power System 2

RDF: ID 2 Name 2

Equipment model Repository and Resource Registry

UUID generated by central resource registry

Resource Identity Reference Server Proposal

UUID Generator

App1

App2

Model 1 RDF:ID

Model 2 RDF:About

Merged 1&2 RDF:ID

1

2 Submit RDF:ID

Recognise RDF:ID?

RDF:ID to UUID database

No 3 Generate new UUID

to RDF:ID coupling

4

RDF:ID to UUID Storage

Yes

5 Interrogate model RDF:ID for Resource names 6

RDF:ID to UUID to Resource

name Storage Return Resource name associated with RDF:ID 7

Question: This is Ok for models generated using a common profile but how could it work for models generated using different profiles??

Appn

Merged n-1 RDF:ID

Model n RDF:About

Merged n-1&n RDF:ID

1

2

4


• Energy storage package within IEC 61970 – responding to the drivers from decarbonisation and energy security.

- new grid-sized energy storage technologies are becoming more common (batteries, flywheels) - energy security planning requires information about energy stores in depots, maybe even under the ground? - current scope of energy storage within IEC 61970 limited to pumped hydro and CAES Proposal for CIM extension – an energy storage package

Smart Grid use cases for principal energy storage technologies

Energy

Capacity

MWh

Power capacity MW

Seconds

to Minutes

CAES

Battery

Minutes

to Hours

Pumped

Hydro

Hours

to Days

~20000

~7000

~200

~0.1

~2000 ~300 ~30 ~0.1 Flywheel

Scheduled Energy

Scheduled Power

Refs: Hargreaves et al, [6];

IEC 61970-301

Dependencies

Energy Storage

systems proposed

extension

Information use cases currently modeled within the IEC CIM

Current research: CIM model extension for energy storage systems

BasicIntervalSchedule

Core::

RegularIntervalSchedule

BatteryType

- BatteryTecnology :BatteryTechnology

Production::

FossilFuelEnergyStoragePlant

Flywheel

- SpinSpeed :RotationSpeed

Core::IdentifiedObject

+ aliasName :String [0..1]

+ mRID :String [0..1]

+ name :String [0..1]

Core::

PowerSystemResource

Core::Equipment

FuelStore

+ StockPile :Volume

ESChargingSchedule

ESDischargeOpCostCurve

Core::Curve

Production::GeneratingUnit

ESChargeOpCostCurve

ESDischargeSchedule

ESGeneratingUnitESChargingUnit

EnergyStorageUnit

ESLevelSchedule

BatteryDischargeCurve BatteryChargeCurve FlywheelDischargeCurve FlywheelChargeCurve

ESRegulatingUnit

ConductingEquipment

Wires::

RegulatingCondEq

+FossilFuel 1

+FuelStore 1..*

+ Batter yChargeCurve0..1

+BatteryType 1

+FlywheelChargeCurve 0..1

+Flywheel 1

+FlywheelDischargeCurve 0..1

+Flywheel 1

+ESGeneratingUnits 1..*

+ESPlant 1

+ESChargingUnits1..*

+ESPlant 0..1

+BatteryDischargeCurve 0..1

+BatteryType 1

+ESDischargeOpCostCurve 0..*

+ESGeneratingUnit 1

+ESChargingUnit

1

+ESRegulatingUnit

0..1

+ESGeneratingUnit

1

+ESRegulatingUnit

0..1

+ESPlant 0..1

+ESUnits 1..*

+Batteries 1..*

+ESUnits 0..1

+ESLevelSchedule0..1

+ESUnit 1

+FuelStore

1..*

+ESUnit 0..1

+Flywheels 1..*

+ESUnits 0..1

+ESChargeOpCostCurves 0..*

+ESChargingUnit 1

+ESDischargeSchedule 0..1

+ESGeneratingUnit 1

+ESChargingSchedule0..1

+ESChargingUnit 1

= Existing CIM class


• ‘Flying the Grid’: A new concept for electricity network operations and the CIM?

Grid control decisions are emerging from deterministic to stochastic operational scenarios. We will use analogies from aviation to examine how the CIM can support control center engineers keep network running arrangements within an optimized operational envelope.

Future collaborative research

• ‘Developing Scalable Smart Grid Infrastructure to Enable Secure Transmission System Control’, submitted to RCUK Energy Programme – NSFC Call for Collaborative Research with China on Smart Grids (March 2012)

• ‘e-HIGHWAY2050: Modular Development Plan of the Pan-European Transmission System 2050’, submitted to, Topic ENERGY.2012.7.2.1: Planning for European Electricity Highways to ensure the reliable delivery of renewable electricity and pan-European market integration (Stage 2: April 2012)

• ‘Investigating Scalable Computational Tools and Infrastructure to Enable Interoperable and Secure Control of Large-scale Power Systems’. EPSRC Hubnet PhD Scholarship (Starts: October 2012)

Conclusions & CIM Research Narrative

• Information architecture needs top-down planning

• Form of the information architecture reflects its function

• Smart grid needs scalable information architectures and models

• Utility information use cases drive model development

• Modeled data exchange needs international standards (CIM, IEC61850 etc.)

• The IEC CIM is essential to power utility system interoperability

• Network stability benefits from control system data-integration

• Interoperability depends on unique, persistent data identity

• We proposed a methodology for resource identity management

• We demonstrated a trusted cloud platform for power utilities

• We are currently modeling CIM extensions consistent with smart grid

information use cases – including energy storage systems and multiple

namespaces in future work

• We will consider how the IEC CIM benefits situational awareness under new

smart grid operational paradigms

References

[1] A. Tolk, “Architecture Constraints for Interoperbility and Composability in a Smart Grid.” IEEE, 2010. [2] R. Ambrosio, S. Widergreen, “A Framework for Addressing Interoperability Issues.” IEEE, 2007. [3] N. Hargreaves, G. Taylor, A. Carter and A. McMorran, "Developing emerging standards for power system data exchange to enable interoperable and scalable operational modelling and analysis," Universities' Power Engineering Conference (UPEC), Proceedings of 2011 46th International, pp. 1-5, 2011. [4] N. Hargreaves, G. Taylor, A. Carter, “Information Standards to support Application and Enterprise Interoperability for the Smart Grid,” in Power & Energy Society General Meeting, 2012. PES '12. IEEE, 2012, accepted. [5] D.Wallom,M.Turilli,G.Taylor,N.Hargreaves,A.McMorran,A. Martin, A. Raun, 2011. myTrustedCloud: Trusted Cloud Infrastructure for Security-critical Computation and Data Management. 3rd IEEE International Conference on Cloud Computing Technology and Science, 2011. [6] N. Hargreaves, G. Taylor, A. Carter, “Smart Grid Interoperability Use Cases for Extending Electricity Storage Modeling within the IEC Common Information Model” Universities' Power Engineering Conference (UPEC), 2012, 47th International.

Thank You

Overview of Brunel University National Grid CIM Research...

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