基于改进免疫算法的备用电容器自动优化配置方法

Automatic Optimization Configuration Method for Backup Capacitors Based on Improved Immune Algorithm

在备用电容器优化配置中,存在比较严重的谐振现象问题。设计一种基于改进免疫算法的备用电容器自动优化配置方法。首先,以备用电容器费用最小和与最小电网有功损耗为目标,通过设定潮流、备用电容器容量、节点电压、移除备用电容器容量、备用电容器新增安装节点约束条件,以及总容量约束条件,构建备用电容器自动优化配置的目标函数;其次,为提升免疫算法性能,设计人工免疫算法,实施目标函数模型的求解,完成备用电容器自动优化配置;最后,在算法改进中以保持混沌免疫算法群体多样性为前提,通过敏感度思想对抗体进化更新实施指导,通过实际算例测试设计方法的优化配置性能。测试结果表明:该方法使各节点的总谐波失真均有一定降低,使实验算例系统在各次谐波中的共振系数均较低,处于安全范围内,实现了设计目标。

In the optimal configuration of backup capacitors,the resonance phenomenon is still a serious problem.An automatic optimization configuration method based on the improved immune algorithm is designed.With backup capacitor minimum cost and minimum grid active loss as the goal,through the development of power flow constraints,backup capacitor capacity constraints,node voltage constraints,remove backup capacitor capacity constraints,backup capacitor new installation node constraints and total capacity constraints,build backup capacitor automatic optimization configuration target function.In order to improve the performance of the immunization algorithm,improve the immunization algorithm,the artificial immunization algorithm is designed,and the target function model is solved to complete the automatic optimization configuration of the spare capacitor.Maintain the population diversity of the chaotic immune algorithm.Through the optimal configuration performance of the test design method,the test results show that the total harmonic distortion of each node decreases somewhat,and the resonance coefficient of the experimental case system is low,and it is in the safe range.