可控储热负荷参与电网调峰的系统特性与经济性研究OA北大核心CSTPCD

To address the problems of large installed capacity of renewable power yet with relatively low output and inad-equate peak shaving capacity of the power system,this article elaborates and analyzes how to maximize the potential of the user side in the power system through the emerging solid-state electric heating and heat storage technology.A system model of the solid-state electric heating and heat storage equipment with power demand response on the user side was designed and es-tablished,aiming at the maximum amount of wind power con-sumed by the system and the optimal economy of the user side in operation.The article adopted the improved multi-objective particle swarm operation(MOPSO)algorithm for model optim-ization and model solution.A comparative analysis of wind power accommodation capacity,load curve peak-to-valley dif-ference and economic cost under diverse conditions was con-ducted in the source side,grid side and load side of the power side system.The simulation results show that the wind power consumption capacity and peak shaving capability have been significantly improved with the installation of the solid-state electric heating and heat storage equipment on the user side on the basis of demand response.In addition,this method has cer-tain economic value.