首页|基于差分进化算法的电力系统负荷控制方法

基于差分进化算法的电力系统负荷控制方法

扫码查看
传统的负荷控制方法在处理复杂非线性问题时需要更多的计算资源和时间,可能陷入局部最优解,导致系统供电能力弱.因此,本文提出基于差分进化算法的电力系统负荷控制方法.首先,对电力系统负荷数据时间序列进行分析.利用差分进化算法对分析后的负荷数据时间序列选取到最优解,并应用于负荷控制问题,以寻找最优控制策略.根据前面两个步骤制定具体的控制指令,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,对电力系统实现有效的负荷控制.
Load Control Method of Power System Based on Differential Evolution Algorithm
The traditional load control method needs more computing resources and time when dealing with complex nonlinear problems,and may fall into local optimal solutions,resulting in weak power supply capacity of the system.Therefore,a load control method of power system based on differential evolution algorithm is proposed in this paper.First,the load data time series of power system is analyzed.The differential evolution algorithm is used to select the optimal solution for the load data time series after analysis,and is applied to the load control problem to find the optimal control strategy.According to the previous two steps to formulate specific control instructions to achieve effective control of power system load.Experiments show that the load control method based on differential evolution algorithm can improve the power supply capacity and realize effective load control for power system.

differential evolution algorithmelectric power systemload controltime series

崔馨月、郑立文

展开 >

国网西咸新区供电公司,陕西咸阳 712000

差分进化算法 电力系统 负荷控制 时间序列

2024

数码设计

数码设计

ISSN:1672-9129
年,卷(期):2024.(10)