Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model

This work presents a demand side response model (DSR) which assists small electricity consumers, through an aggregator, exposed to the market price to proactively mitigate price and peak impact on the electrical system. The proposed model allows consumers to manage air-conditioning when as a functio...

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Bibliographic Details
Main Authors: Marwan, M., Ledwich, G., Ghosh, Arindam
Other Authors: Professor Michael Negnevitsky
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers ( IEEE ) 2013
Online Access:http://hdl.handle.net/20.500.11937/5367
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author Marwan, M.
Ledwich, G.
Ghosh, Arindam
author2 Professor Michael Negnevitsky
author_facet Professor Michael Negnevitsky
Marwan, M.
Ledwich, G.
Ghosh, Arindam
author_sort Marwan, M.
building Curtin Institutional Repository
collection Online Access
description This work presents a demand side response model (DSR) which assists small electricity consumers, through an aggregator, exposed to the market price to proactively mitigate price and peak impact on the electrical system. The proposed model allows consumers to manage air-conditioning when as a function of possible price spikes. The main contribution of this research is to demonstrate how consumers can minimise the total expected cost by optimising air-conditioning to account for occurrences of a price spike in the electricity market. This model investigates how pre-cooling method can be used to minimise energy costs when there is a substantial risk of an electricity price spike. The model was tested with Queensland electricity market data from the Australian Energy Market Operator and Brisbane temperature data from the Bureau of Statistics during hot days on weekdays in the period 2011 to 2012. © 2013 Australasian Committee for Power Engineering (ACPE).
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publishDate 2013
publisher Institute of Electrical and Electronics Engineers ( IEEE )
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spelling curtin-20.500.11937-53672017-02-28T01:29:46Z Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model Marwan, M. Ledwich, G. Ghosh, Arindam Professor Michael Negnevitsky This work presents a demand side response model (DSR) which assists small electricity consumers, through an aggregator, exposed to the market price to proactively mitigate price and peak impact on the electrical system. The proposed model allows consumers to manage air-conditioning when as a function of possible price spikes. The main contribution of this research is to demonstrate how consumers can minimise the total expected cost by optimising air-conditioning to account for occurrences of a price spike in the electricity market. This model investigates how pre-cooling method can be used to minimise energy costs when there is a substantial risk of an electricity price spike. The model was tested with Queensland electricity market data from the Australian Energy Market Operator and Brisbane temperature data from the Bureau of Statistics during hot days on weekdays in the period 2011 to 2012. © 2013 Australasian Committee for Power Engineering (ACPE). 2013 Conference Paper http://hdl.handle.net/20.500.11937/5367 Institute of Electrical and Electronics Engineers ( IEEE ) restricted
spellingShingle Marwan, M.
Ledwich, G.
Ghosh, Arindam
Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model
title Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model
title_full Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model
title_fullStr Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model
title_full_unstemmed Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model
title_short Defining expected cost for the air conditioning to avoid a price spike of electricity market under DSR model
title_sort defining expected cost for the air conditioning to avoid a price spike of electricity market under dsr model
url http://hdl.handle.net/20.500.11937/5367