Demand-side response model to avoid spike of electricity price


Autoria(s): Marwan, Marwan; Ledwich, Gerard; Ghosh, Arindam
Data(s)

2014

Resumo

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 pre-cooling 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.

Identificador

http://eprints.qut.edu.au/68440/

Publicador

Elsevier Ltd

Relação

http://www.sciencedirect.com/science/article/pii/S095915241400033X

DOI:10.1016/j.jprocont.2014.01.009

Marwan, Marwan, Ledwich, Gerard, & Ghosh, Arindam (2014) Demand-side response model to avoid spike of electricity price. Journal of Process Control, 24(6), pp. 782-789.

Direitos

Copyright 2014 Elsevier Ltd.

NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Process Control. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Process Control, [In Press] DOI: 10.1016/j.jprocont.2014.01.009

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Consumer #Demand-side response #Energy cost #Price spike #Pre-cooling
Tipo

Journal Article