基于遗传算法的风光柴蓄复合发电系统优化设计

Optimal Design of Wind-Solar-Diesel-Battery Hybrid Power Generation System Based on Genetic Algorithm

针对风光柴蓄复合发电系统的非线性特性,采用遗传算法和能量调度策略,以系统初期投资费用和运行费用最优为系统优化目标函数,结合实际工程系统的配置进行了优化设计,并选取与优化方案较接近的三种方案进行全年逐时仿真比较。实验结果表明,在满足用户负载要求的条件下,所采用的优化算法和策略正确,方案配置合理、经济、可行。

According to the nonlinear characteristics of the wind-solar-diesel-battery hybrid power generation system, using the genetic algorithm and strategies of energy dispatching, with the initial investment and operating cost adopted as the objective function, the hybrid power system scheme was optimized based on the actual engineering system configuration. Three closest schemes to the optimized scheme were chosen and simulated on the all-year hourly basis. The simulation experimental results show that under conditions of meeting the user＇s load requirements, the optimized algorithm and strategies of energy dispatching adopted are correct and the scheme is feasible and economical.