遗传算法在风光互补发电系统优化设计中的应用

风光互补发电系统的优化配置是一个多目标优化问题,优化目标为系统安装成本,约束条件为供电可靠性。如何合理的匹配设计是充分发挥风光互补发电优越性的关键。在成本(目标)函数的最小化计算中,采用改进的遗传算法进行优化,随机搜索并采用选择、交叉、变异三种基本算子在全部组合中搜索最优化的配置。结果表明在满足负荷用电的前提下,其经济性能优于单独的光伏系统和单独的风电系统。

Genetic Algorithm in Wind-photovoltaic Hybrid Power Systems Optimization

The configuration optimization of wind-photovoltaic hybrid power systems may consider as a problem of multi-object optimization problem,the optimization objective as minimizing system installation cost,subject to power reliability.It is a key how to reasonably settle the configuration to give full play to the superiority of hybrid power systems.The cost （objective） function minimization is implemental by using improved genetic algorithm with a methodology of adapted global random search by selection,crossover and mutation operator to search for configuration optimization in all combination.