Overview of Brunel University National Grid CIM Research...
Transcript of 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
EngD Environmental Technology
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
EngD Environmental Technology
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
EngD Environmental Technology
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
EngD Environmental Technology
National Grid GB reduced network model in CIM, daily.
Information use cases to support NG-DNO interoperability
EngD Environmental Technology
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
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
EngD Environmental Technology
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
Current collaborative research
• 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
Current collaborative research
• ‘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.