Optimal Allocation Method of PV-Storage System in Clustered Distribution Network with Balanced Economy and Reliability

Abstract

With the substantial increase of the proportion of distributed power sources such as PV in the distribution network, the original traditional distribution network has gradually changed into an active distribution network, but it also brings about problems such as unreasonable location and capacity determination of distributed power, low operation reliability, poor economy and so on. The traditional location and capacity planning schemes of optical storage system mostly focus on single or several 10kV feeders, which may cause problems such as PV can not be effectively consumed and the number of PV-storage is redundant. Therefore, it is necessary to optimize the location and capacity of optical storage within a larger distribution range. Therefore, this paper presents an optimal allocation method of PV-storage system in grid distribution network with balanced economy and reliability. Firstly, taking the economy and reliability of the grid distribution network as the objective function, and considering the constraints such as PV local consumption, PV installation capacity, energy storage capacity and power voltage balance, the planning model is established. Secondly, in order to comprehensively consider the economy and reliability of distribution network operation, the multi-objective genetic algorithm is introduced to solve the configuration model, and the Pareto frontier is obtained. Then the Nash game method is used to find the equilibrium optimal solution of the two objectives. The results show that this method can effectively deal with various types of grids, and can greatly improve the reliability and economy of operation compared with the traditional line based planning.