optimization method for fixed capacity location of hybrid energy storage system considering intermittent loads characteristics

The location and capacity of the energy storage system (ESS) affect the security, stability and economy of the distribution network. The location and capacity of the energy storage system interact with each other and form the optimal allocation problem of the energy storage system. In this paper, considering the constraints of hybrid energy storage technology parameters and operation status, an economic optimization model of hybrid energy storage system (HESS) with frequency division and constant capacity including capacity cost and power cost is established. Genetic algorithm is used to optimize and determine the optimal capacity allocation of hybrid energy storage system. Secondly, the influence of the HESS on the power flow distribution of the distribution network and the change of the voltage amplitude of each feeder node are analyzed. In this paper, the location of HESS is optimized by considering the node voltage sensitivity, feeder node voltage fluctuation and line section load rate, so as to improve the power quality of distribution network with intermittent loads.