A Method for Energy Storage to Participate in Spot Market Transactions Based on Moth-to-fire Algorithm
With the gradual advancement of the construction of the electricity spot market system,the role of energy storage resources in electricity market transactions has become increasingly impor-tant.In order to solve the problem of low return rate of energy storage participating in electricity spot market,a method of energy storage participating in spot market transaction based on moth-to-fire algorithm is proposed.Firstly,the types of end-users of energy storage are classified using neighbor clustering,followed by an analysis of parameters of spot transaction declarations and optimization of participation in spot market.Secondly,the moth-to-fire algorithm is used to optimally solve the clearing transaction price of energy storage participating in the spot market.Finally,the algorithm was tested in a city in China,increasing profits by 23.39%compared to evolutionary game profits.This method improves the profitability of energy storage participating in electricity spot market trans-actions.
moth to the flame algorithmenergy storagespot markettrading methodmarket clearing
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