电力系统无功优化控制中遗传算法的改进

Improvements of Genetic Algorithm in Power System Optimized Reactive Power Control

无功优化控制是保证电能经济传输与经济运行的重要条件,在满足电力系统各种运行约束条件下,通过优化计算来确定控制变量,找到使系统的一个或多个性能指标达到最优时的无功调节补偿手段。遗传算法用于电力系统无功优化,具有简单通用、鲁棒性强和可并行计算等优点。对简单遗传算法在罚函数、选择、变异、交叉和终止条件等方面进行一些改进,可以加快遗传算法的收敛速度,使结果趋于更优,实际算例也证明了这一点。

Optimized reactive power control plays an important role in economic power transmission and operation. It tries to find a means of reactive power compensation that optimizes one or more system parameters under the constraints of power system operating conditions. When applied to power system reactive power optimization, genetic algorithm has advantages such as simple, robust and parallel computing ready. Through modifications in penalty function, selection, mutation, crossing and terminating condition, the convergence can be accelerated and better results are achieved. It has been validated by examples.