摘要
现有的光伏配电网动态重构方法存在光伏配电网损耗高的问题,为了解决上述问题,提出基于PSO-DE算法的光伏配电网动态重构方法。依据重构需求,选取目标构建光伏配电网动态重构数学模型,以此为基础,采用BP神经网络法预测光伏配电网日负荷。以上述预测结果为依据,基于时间区间不等划分法划分动态重构时段,通过PSO-DE算法制定光伏配电网动态重构流程,实现光伏配电网的动态重构。实验数据显示,与现有的光伏配电网动态重构方法相比较,提出的光伏配电网动态重构方法极大降低了光伏配电网的损耗,充分说明文中提出的光伏配电网动态重构方法具备更好的重构效果。
In order to solve the above problems,a dynamic reconfiguration method based on PSO-DE algorithm is proposed.According to the reconstruction demand,the target is selected to build the dynamic reconstruction mathematical model of photovoltaic distribution network.On this basis,BP neural network method is used to predict the daily load of photovoltaic distribution network.Based on the above prediction results,the dynamic reconfiguration period is divided based on the unequal time interval division method,and the dynamic reconfiguration process of photovoltaic distribution network is formulated by PSO-DE algorithm to realize the dynamic reconfiguration of photovoltaic distribution network.Experimental data show that compared with the existing photovoltaic distribution network dynamic reconstruction method,the proposed photovoltaic distribution network dynamic reconstruction method greatly reduces the loss of photovoltaic distribution network,which fully shows that the proposed photovoltaic distribution network dynamic reconstruction method has better reconstruction effect.
作者
杨德栋
金建新
YANG Dedong;JIN Jianxin(State Grid ZhejiangCangnan Power Supply Co.,Ltd.,Longgang 325802,China)
出处
《电子设计工程》
2020年第24期48-51,56,共5页
Electronic Design Engineering
关键词
PSO-DE算法
光伏配电网
动态
重构
PSO-DE algorithm
photovoltaic distribution network
dynamic
reconfiguration
