微型电脑应用2024,Vol.40Issue(5) :68-72.

面向用户的区域电网电压协同控制技术研究

Research on User-oriented Voltage Cooperative Control Technology of Regional Power Grid

任小航 易春磊 王世友 柴良明
微型电脑应用2024,Vol.40Issue(5) :68-72.

面向用户的区域电网电压协同控制技术研究

Research on User-oriented Voltage Cooperative Control Technology of Regional Power Grid

任小航 1易春磊 1王世友 1柴良明1
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作者信息

  • 1. 云南电网有限责任公司瑞丽供电局,云南,瑞丽 678600
  • 折叠

摘要

针对区域电网电压分布零散,电网电压协同区段控制不力的问题,采用改进型矩阵算法将电网中不同的区段实现节点与优化目标之间的关联.构建改进型离散猴群算法实现离散型区域电网电压节点的搜索,在改进型离散猴群算法模型中加入DE-BP神经网络算法模型,通过差分进化DE算法模型实现待控制电压区域中不同 目标函数信息的最优化搜索,BP神经网络算法模型能够实现优化目标的故障诊断,最终实现用户不同区域电网电压的协同控制.实验表明,这种方法检索能力强,平均正确率在95%以上.

Abstract

In view of the scattered voltage distribution of the regional power grid and the ineffective control of the grid voltage coordinated section,an improved matrix algorithm is used to associate the nodes and optimization goals in different sections of the power grid,and an improved discrete monkey group algorithm is constructed to realize the discrete area.For the search of power grid voltage nodes,the DE-BP neural network algorithm model is added to the improved discrete monkey group algo-rithm model,and the differential evolution DE algorithm model is used to achieve the optimal search for different objective func-tion information in the voltage area to be controlled.The BP neural network is enabled.The algorithm model can realize the fault diagnosis of the optimization target,and finally realize the coordinated control of the voltage of the power grid in different regions of the user.Experiments have shown that the method has strong retrieval capabilities,with an average accuracy rate of more than 95%.

关键词

区域电网电压/协同区段/改进型矩阵算法/改进型离散猴群算法/差分进化DE算法模型

Key words

regional power grid voltage/cooperative section/improved matrix algorithm/improved discrete monkey group al-gorithm/differential evolution DE algorithm model

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基金项目

云南电网有限责任公司项目(YNKJXM20170842)

出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
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