Extension of IEC 61970 for Electrical Energy Storage Modelling

Hargreaves, Nigel (2014) Extension of IEC 61970 for Electrical Energy Storage Modelling. In: Smart Grids: Technologies, Applications and Management Systems. Electrical Engineering Developments, 1 (1). Nova Sciences Publishers Inc, New York, pp. 439-462. ISBN 9781633214903

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Information interoperability is a key process underpinning the development of flexible and efficient electrical networks capable of integrating large-scale renewable and conventional energy technologies into smart grids to supply consumers with sustainable energy. The smart grid concept requires technologies ranging from smart meters to utility-level energy management systems to share information on an unprecedented scale. The availability of data and information about grid systems will also increase dramatically as the smart grid develops but its value and usefulness will depend on the degree to which it can be formed into representative knowledge of the real smart grid. At the heart of power utility and smart grid information interoperability is the IEC Common Information Model (CIM), a suite of open international standards addressing energy management, asset management, and market systems. This chapter dis- cusses the philosophy and processes underpinning smart grid information interoperability to enable power utilities to build and control the emerging smart grid and it elaborates upon how the CIM fits within a standardized power system interoperability framework. It will explain how model-driven information integration using the IEC CIM can be implemented by utilities to leverage the value and validity of data into realistic knowledge representations of smart grid reality and address the need for situational awareness, business intelligence, and process efficiency.

Item Type: Book Section
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 07:37
Last Modified: 20 Oct 2022 23:46
URI: https://ueaeprints.uea.ac.uk/id/eprint/52314

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