摘要
常规的无功功率自动补偿方法以优化电压分布为主,增加的配电网安全裕度会使无功补偿的初始容量增加,影响补偿效果。因此,本文设计了基于改进遗传算法的配电网无功功率自动补偿方法,用于确定配电网无功自动补偿点,优化补偿点对网损的敏感程度,并基于改进遗传算法优化无功自动补偿容量,设定无功补偿配电的最小容量,使无功网损降到最低,实现配电网的有效补偿。通过采用仿真实验,验证了该补偿方法的网损更低,配电网运行经济性更高,能应用于实际生活。
The conventional automatic compensation method for reactive power mainly focuses on optimizing voltage distribution,and the increased safety margin of the distribution network increases the initial capacity of reactive power compensation,which affects the compensation effect.Therefore,this paper designs an improved genetic algorithm based automatic reactive power compensation method for distribution networks,which is used to determine the reactive power automatic compensation point of the distribution network and optimize the sensitivity of the compensation point to network losses,and based on an improved genetic algorithm,the automatic reactive power compensation capacity is optimized,and the minimum capacity of reactive power compensation distribution is set to minimize reactive power network losses,achieving effective compensation for the distribution network.Through simulation experiments,it has been verified that the compensation method has lower network losses and higher economic efficiency of distribution network operation,which can be applied in practical life.
作者
葛颖丰
熊家敏
GE Yingfeng;XIONG Jiamin(State Grid Ningbo Zhenhai District Power Supply Company,Ningbo,Zhejiang 315000,China)
出处
《自动化应用》
2023年第20期56-58,共3页
Automation Application
关键词
改进遗传算法
配电网
无功功率
自动补偿方法
improved genetic algorithm
distribution network
reactive power
automatic compensation method
作者简介
葛颖丰,男,1993年生,助理工程师,研究方向为电气工程及其自动化。
