Demand-side response model to avoid spike of electricity price

• We develop a DSR model to minimize energy cost for the air-conditioning.
• The consumer should apply the pre-cooling method to minimize energy cost.
• Outside temperature has a significant impact to define energy cost.
• Starting temperature of spike has a significant impact to define energy cost.
• The probability of a price spike has a significant impact to define energy cost.

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.

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