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ToolsHargreaves, Nigel, Taylor, Gareth and Carter, Alex (2012) Smart grid interoperability use cases for extending electricity storage modelling within the IEC common information model. In: UPEC 2012 : 47th International Universities' Power Engineering Conference, 2012-09-04 - 2012-09-07, Brunel University.
Full text not available from this repository.Abstract
The IEC Common Information Model (CIM) is recognized as a core standard, supporting electricity transmission system interoperability. Packages of UML classes make up its domain ontology to enable a standardised abstraction of network topology and proprietary power system models. Since the early days of its design, the CIM has grown to reflect the widening scope and detail of utility information use cases as the desire to interoperate between a greater number of systems has increased. The cyberphysical nature of the smart grid places even greater demand upon the CIM to model future scenarios for power system operation and management that are starting to arise. Recent developments of modern electricity networks have begun to implement electricity storage (ES) technologies to provide balancing ancillary services, useful to grid integration of large-scale renewable energy systems. In response to this we investigate modeling of grid-scale electricity storage, by drawing on information use cases for future smart grid operational scenarios at National Grid, the GB Transmission System Operator. We find current structures within the CIM do not accommodate the informational requirements associated with novel ES systems and propose extensions to address this requirement.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Uncontrolled Keywords: | sdg 7 - affordable and clean energy ,/dk/atira/pure/sustainabledevelopmentgoals/affordable_and_clean_energy |
| Faculty \ School: | Faculty of Science > School of Environmental Sciences |
| Depositing User: | Pure Connector |
| Date Deposited: | 09 Mar 2015 07:39 |
| Last Modified: | 01 Oct 2021 00:42 |
| URI: | https://ueaeprints.uea.ac.uk/id/eprint/52321 |
| DOI: |
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