Optimization of Equipment Layout and Cable Planning of Photovoltaic Power Station Based on Genetic Algorithm

This paper establishes a mathematical model for the equipment layout and cable planning of photovoltaic power stations. The optimization model of the power station equipment layout is established to minimize the cable cost of the power station. The genetic algorithm is used to design and solve the optimization model, and the initial population is established according to the installation positions of the converters and inverters. Then the population is coded, selected, crossed, and compiled, and the final result of the equipment layout is obtained. The effectiveness of the proposed method is verified by comparing the experimental results with the traditional manual design scheme.