基于遗传算法的有功功率负荷最优分配

Active Power Load Optimal Distribution Based on Genetic Algorithm

选定煤耗量作为优化的唯一目标函数,将遗传算法应用于发电厂或电力系统,解决了多台机组运行时相互间负荷的最优分配问题,并与等微增率法进行了比较。仿真结果表明,遗传算法在计算结果和使用范围方面都较等微增率法更加经济、优越,具有运算速度快、使用方便的特点,能够实现机组负荷的优化分配,改善机组的运行经济性,该方法具有一定的有效性和可行性。

Genetic algorithm（GA） is applied to solve optimal load distribution among units in power plant or electrical power system and the coal consumption is selected as the only objective function in this paper.The result reveals that genetic algorithm is economical and superior in result and applying scope,compared with the equal incremental principle.Genetic algorithm has high computing rate and is easy to use.It can obtain optimal load distribution among units and improve operation of units.This method is effective and feasible.