Renewable resource dataset generators

Gruffudd A Edwards, Roderick Dunn

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Designing flexible networks to cope with the broad range of plausible scenarios for the future of the electricity system in Great Britain (GB) demands adequate and appropriate renewable resource data. This paper reports on research aimed at developing algorithms capable of producing synthetic time series datasets of arbitrary length to represent the variable renewable resources available to generators. Attention to date has been on the wind resource, as this is the dominant technology. The algorithms will produce the datasets using time series models - building upon an existing 'Bath Wind Model' methodology, but modelling the resources as seasonal long memory processes. The datasets will be suitable for a range of studies, but particularly system adequacy studies using Monte-Carlo simulation.
Original languageEnglish
Title of host publication2010 45th International Universities' Power Engineering Conference, UPEC 2010
Place of PublicationPiscataway, NJ
PublisherIEEE
Number of pages5
ISBN (Electronic)978-0-9565570-2-5
ISBN (Print)978-1-4244-7667-1
Publication statusPublished - Sep 2010
Event2010 45th International Universities' Power Engineering Conference (UPEC) 2010 - Cardiff, UK United Kingdom
Duration: 31 Aug 20103 Sep 2010

Conference

Conference2010 45th International Universities' Power Engineering Conference (UPEC) 2010
CountryUK United Kingdom
CityCardiff
Period31/08/103/09/10

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