An Integrated Operation Strategy of Energy Storage System in ADN Planning

This paper proposes an operation strategy of energy storage system, considering the effect of gaining profit and peak load shifting. In the strategy, the charging-discharging periods are divided based on the TOU price and the charging or discharging power in each period is determined by the actual operation of distribution network. This paper applies the strategy to Active Distribution Network (ADN) planning and establishes a bi-level programming model that includes investment layer and operation layer. Battery Energy Storage System (BESS) is selected as the research object and improved particle swarm optimization algorithm is used to solve the problem. The simulation results of an improved IEEE 33-bus distribution system and the comparison with an existing BESS operation strategy verify that the proposed strategy obtains better economic benefits and the effect of peak load shifting, and it is conducive to improving DG permeability.