Enabling distributed frequency response using smart meters

Thomas, Lee James, Wu, Jianzhong ORCID: https://orcid.org/0000-0001-7928-3602, Ekanayake, Janaka Bandara ORCID: https://orcid.org/0000-0003-0362-3767 and Jenkins, Nicholas ORCID: https://orcid.org/0000-0003-3082-6260 2012. Enabling distributed frequency response using smart meters. Presented at: IEEE PES Innovative Smart Grid Technologies Conference Europe, Berlin, Germany, 14-17 October 2012. 2012 3rd IEEE PES Innovative Smart Grid Technologies Europe (ISGT Europe). Piscataway, N.J: IEEE, pp. 1-5. 10.1109/ISGTEurope.2012.6465651

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Abstract

Frequency excursions on electrical power systems are traditionally controlled using governors on central, often steam driven, generators. However, if the proportion of steam driven plant is reduced, there is a need to provide frequency response by other means. Distributed frequency response is under-utilised; this is partly because it is difficult for system operators to schedule demand side frequency response capability and verify its operation. Smart meters provide a means to overcome these difficulties, if the meters have an adequate hardware specification. A scheme to enable System Operators to specify demand side frequency response, become aware of its availability and verify its operation is put forward. A model is developed in which demand side frequency response operation is verified using `Frequency Response Verification Packets' (FRVPs) - data packets created by smart meters that quantify changes in demand following a detected frequency excursion. The model is used to simulate a situation where 20% of all domestic washing machines in Britain can pause for 30 minutes following a frequency excursion. For a frequency deviation at 1830 hrs on a weekday in the month of March, 291778 FRVPs were created (corresponding to 135 MW total demand reduction within 2 seconds of the frequency excursion).

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Publisher:	IEEE
ISBN:	9781467325950
Last Modified:	24 Oct 2022 11:31
URI:	https://orca.cardiff.ac.uk/id/eprint/48463

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