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In the traditional electricity market, the safety of power systems due to increasing power demand, especially in peak -valley, is seriously affected. In recent years, the smart electricity market's de...velopment, and the implementation of demand response programs (DRPs) have resulted in electricity price reduction, improving loads with demand flexibility, and enhancing security by interacting between customers and the market. The main aim of this study is an optimization model of price-responsive demand in the wholesale market in Japan considering the concept of dynamic price elasticity of demand, single and multi-period loads, and customer benefit function. The proposed model is founded on the theories of price and customer in microeconomics which can help decision-makers in the electricity market evaluate the customers' behaviors based on the decision variables like the price of electricity and customers' participation level and incentives. The customer benefit function is derived based on the self and cross-price elasticities of demand and single and multi-period loads. Moreover, different Time-Based Programs (TBP) of DRPs are applied to the model to evaluate the effect of changing the price on customers' demand. DRPs are prioritized using Multi Criteria Decesion Matrix (MCDM) technique in orderto help decision makers for prioritizing different DRPs to improve load profile features. The developed model is tested in the next step, using day-ahead spot price from the Japan Electric Power Exchange (JEPX) and demand loads in Wholesale Market in Japan.続きを見る
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