A Two-Layer Planning Method for Distributed Energy Storage with Multi-point Layout in High Photovoltaic Penetration Distribution Network

Abstract

In the planning of energy storage system (ESS) in distribution network with high photovoltaic penetration, in order to fully tap the regulation ability of distributed energy storage and achieve economic and stable operation of the distribution network, a two-layer planning method of distributed energy storage multi-point layout is proposed. Combining with the operation characteristic model of energy storage battery (ESB), a multi-point energy storage collaborative operation strategy considering the service life of ESB is proposed. A planning-operation two-layer model is constructed, in which the outer layer considers the total cost of ESS planning to determine the layout point number and capacity of ESS, and the inner layer focuses on the utilization rate of ESB and the operation stability of distribution network. The hybrid particle swarm optimization and non-dominated sorting genetic algorithm is used to solve the planning and operation results of distributed energy storage multi-point layout. Example analysis shows that after configuring a multi-point layout ESS, the total planning cost decreases by 20.25%, the utilization rate of ESB increases to over 50%, and the voltage fluctuation and loss rate of the distribution network decrease by 19.09% and 11.76%, respectively.