基于差分进化算法的电力系统负荷控制方法

Load control method of power system based on differential evolution algorithm

传统的负荷控制方法在处理问题时耗时较长,导致系统供电能力弱。为解决该问题,文章提出了基于差分进化算法的电力系统负荷控制方法。使用该方法对电力系统负荷数据时间序列进行分析并选取序列的最优解,将其用于负荷控制问题,有助于寻找最优控制策略。基于此,通过制定具体的控制指令,可实现对电力系统负荷的有效控制。实验证明,基于差分进化算法的负荷控制方法能够提高供电能力,从而实现对电力系统负荷的有效控制。

The traditional load control method takes a long time to deal with the problem,which leads to the weak power supply capacity of the system.To solve this problem,a load control method based on differential evolution algorithm is proposed in this paper.This method is used to analyze the time series of power system load data and select the optimal solution of the sequence,which is applied to the load control problem to find the optimal control strategy.Based on this,the effective control of power system load can be realized by formulating specific control instructions.The experiment proves that the load control method based on differential evolution algorithm can improve the power supply capacity,so as to realize the effective load control of power system.