Multi-objective Planning for Optical Storage Based on Third Generation Non-dominated Ranking Genetic Algorithm

The article focuses on the problem that the multi-objective optimal allocation work of optical storage is not considered in the traditional distribution network (TDN), and establishes a multi-objective planning model for optical storage with the objectives of annual comprehensive cost, annual active network loss and minimum average voltage offset in TDN, taking into account the economics of distribution network operation and power quality. This model proposes a TDN optical storage multi-objective planning process based on the third-generation non-dominated ranking genetic algorithm, which effectively solves the multi-objective planning problem of optical storage in TDN. Finally, the simulation analysis is carried out by IEEE-33 node active distribution system to verify the effectiveness of the proposed model and hybrid solution strategy, and to analyze the important role played by multi-objective optimal allocation to improve the operation quality and economic efficiency of the distribution network.