Research on Optimal Allocation Method of Lithium Battery Energy Storage Used in Peak Cutting and Valley Filling
In view of the increasing power load of users and the further increase of grid peak-valley difference,this paper com-prehensively considers the effect of peak shaving and valley filling and system economy,and proposes a method for optimizing the configuration of lithium battery energy storage system capacity.First of all,with the minimum overall cost of the energy storage sys-tem and the minimum load standard deviation as the optimization goals,an energy storage optimization configuration model is estab-lished.Second,the improved particle swarm optimization algorithm is used to solve the model,and the load rate is used as an evalu-ation index to evaluate the effect of peak shaving and valley filling,and the optimal configuration capacity of the energy storage sys-tem under the optimal comprehensive cost and load standard deviation is obtained.Finally,combined with the typical daily load da-ta of a certain area to carry out experimental analysis,the results show that the model has a certain economic efficiency under the condition that a good peak-shaving and valley-filling effect is obtained,and it can effectively reduce the phenomenon of abandon-ing wind and light,thereby improving the power grid overall operating efficiency.
energy storage systempeak shaving and valley fillingsystem capacityparticle swarm algorithm
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