基于遗传算法优化BP神经网络的配电网线损分析方法研究  

Study on Line Loss Analysis of BP Distribution Network Based on Genetic Algorithm

作　　者：刘懿莹 栾松 张师[2] LIU Yi-ying;LUAN Song;ZHANG Shi(State Grid Jilin Electric Power Co.Ltd.,Jilin Power Supply Company,Jilin 132001,China;School of Electrical Engineering,Northeast Electric Power University,Jilin 132012,China)

机构地区：[1]国网吉林省电力有限公司吉林供电公司,吉林吉林132001 [2]东北电力大学电气工程学院,吉林吉林132012

出　　处：《电气开关》2025年第1期69-72,共4页Electric Switchgear

摘　　要：确定准确简便的线损计算和分析方法是加强10kV低压配电网线损管理的必要途径,基于遗传算法优化BP神经网络模型进行配电网线损分析。通过免疫系统的加入,使遗传算法克服了通常遗传算法收敛方向无法控制的缺陷,并用免疫遗传算法对BP神经网络的连接权值进行优化。通过算例分析结果可知,方法可以有效计算配电网线损。Determine the accurate and simple line loss calculation and analysis method is a necessary way to strengthen the line loss management of 10kV low-voltage distribution network.This paper optimizes the BP neural network model based on the distribution network line loss analysis by genetic algorithm.With the addition of the immune system,the genetic algorithm can overcome the defect of the convergence direction of the genetic algorithm,and the immune genetic algorithm optimizes the connection weights of the BP neural network.According to the analysis results of the examples,this method can calculate the line loss effectively.

关 键 词：遗传算法 BP神经网络 配电网线损 免疫系统 权值优化 

分 类 号：TM72[电气工程—电力系统及自动化]