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dc.contributor.authorMarwan, M.
dc.contributor.authorLedwich, G.
dc.contributor.authorGhosh, Arindam
dc.date.accessioned2017-01-30T11:55:01Z
dc.date.available2017-01-30T11:55:01Z
dc.date.created2015-04-23T03:53:29Z
dc.date.issued2014
dc.identifier.citationMarwan, M. and Ledwich, G. and Ghosh, A. 2014. Demand-side response model to avoid spike of electricity price. Journal of Process Control. 24: pp. 782-789.
dc.identifier.urihttp://hdl.handle.net/20.500.11937/16304
dc.identifier.doi10.1016/j.jprocont.2014.01.009
dc.description.abstract

The aim of this work is to develop a demand-side-response model, which assists electricity consumers exposed to the market price to independently and proactively manage air-conditioning peak electricity demand. The main contribution of this research is to show how consumers can optimize the energy cost caused by the air conditioning load considering to several cases e.g. normal price, spike price, and the probability of a price spike case. This model also investigated how air-conditioning applies a precooling method when there is a substantial risk of a price spike. The results indicate the potential of the scheme to achieve financial benefits for consumers and target the best economic performance for electrical generation distribution and transmission. The model was tested with Queensland electricity market data from the Australian Energy Market Operator and Brisbane temperature data from the Bureau of Statistics regarding hot days from 2011 to 2012.

dc.publisherElsevier Science Ltd.
dc.subjectEnergy cost
dc.subjectDemand-side response
dc.subjectPre-cooling
dc.subjectConsumer
dc.subjectPrice spike
dc.titleDemand-side response model to avoid spike of electricity price
dc.typeJournal Article
dcterms.source.volume24
dcterms.source.startPage782
dcterms.source.endPage789
dcterms.source.issn0959-1524
dcterms.source.titleJournal of Process Control
curtin.accessStatusFulltext not available


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