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This paper presents a hierarchical planning method for battery energy storage system (BESS) operator and the distribution company (DISCO) collaborative planning in the distribution network with application scenarios that BESS operator invests the constructions of BESS. The charge and discharge contract price is chosen as the optimization variable, in order to achieve the optimizing scheduling of BESS. This paper uses the improved particle swarm optimizer method and introduces CauchyGaussian reduction mutation factor to adjust the local optimal extremum. An improved IEEE-33 nodes system is taken as an example. Cases analysis shows that the method allows both DISCO and BESS operators to be profitable. The simulation results show that when equal capacity DG access to the model, the access of wind power is more effective than the access of photovoltaic, whose benefit is more prominent.

Study on the Influence of Wind Power and Photovoltaic Access to Battery Energy Storage System on Optimized Configuration Benefits