Reactive power voltage control partitioning based on modified shuffled frog-leaping-K-means clustering algorithm

WANG Lian-guo1; HAN Xiao-hui2; SONG Lei2

doi:10.13873/j.1000-97872013.06.014

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Reactive power voltage control partitioning based on modified shuffled frog-leaping-K-means clustering algorithm

更新时间：2025-09-11

- Reactive power voltage control partitioning based on modified shuffled frog-leaping-K-means clustering algorithm
- Vol. 32, Issue 6, Pages: 18-21(2013)
- 作者机构：
  
  1. 甘肃农业大学信息科学技术学院
  2. 甘肃农业大学工学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872013.06.014
  CLC： TM714.2;TP301.6
- Published：2013
- 稿件说明：
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[1]王联国,韩晓慧,宋磊.基于改进混合蛙跳-K均值聚类算法的无功电压控制分区[J].传感器与微系统,2013,32(06):18-21.

WANG Lian-guo1, HAN Xiao-hui2, SONG Lei2. Reactive power voltage control partitioning based on modified shuffled frog-leaping-K-means clustering algorithm[J]. 2013, 32(6): 18-21.
[1]王联国,韩晓慧,宋磊.基于改进混合蛙跳-K均值聚类算法的无功电压控制分区[J].传感器与微系统,2013,32(06):18-21. DOI： 10.13873/j.1000-97872013.06.014.

WANG Lian-guo1, HAN Xiao-hui2, SONG Lei2. Reactive power voltage control partitioning based on modified shuffled frog-leaping-K-means clustering algorithm[J]. 2013, 32(6): 18-21. DOI： 10.13873/j.1000-97872013.06.014.

摘要

针对无功电压控制分区的特点

并借鉴聚类算法思想

提出一种基于改进混合蛙跳-K均值聚类算法的无功电压控制分区。依据无功源控制的思想

以电网中的节点为分类对象

每个无功源对其控制作用构成这个对象的特征指标

将系统各节点映射到一个多维空间中

在此基础上通过改进混合蛙跳-K均值聚类算法得出被控节点所在的分区号

最后通过发电机节点归并原则确定发电机节点的分区。应用所述方法对IEEE 39节点系统进行了分析计算

分区结果与其它算法结果进行了比较

验证所提出的算法的准确性和可行性。

Abstract

A reactive power voltage control partitioning based on modified shuffled frog-leaping-K-means clustering algorithm is proposed taking into account the characteristic of reactive power voltage control partitioning.According to idea of control of no power source

nodes in electric networks are regarded as classification of object

control of each no power source on it form characteristic index

all the nodes in the system are mapped into a multi-dimensional space.The modified shuffled frog leaping-K-means clustering algorithm is used to obtain partition number of the controlled nodes.Partition of electric generator nodes is determined by using merge principle.IEEE 39 system is analyzed and calculated using the method

partitioning result is compared with the result of other algorithms to verify the accuracy and feasibility of the proposed algorithm.

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references

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基于能量灵敏度矩阵和模糊聚类分析的电压控制分区 [J]. 康勇,李华强,郑武,康宁,赵磊. 电力系统保护与控制 . 2011(12)

基于阈值选择策略的改进混合蛙跳算法在电网规划中的应用 [J]. 王茜,张粒子,舒隽,王楠. 电力系统保护与控制 . 2011(03)

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一种基于专家知识的电力系统电压/无功分级分布式优化控制分区方法 [J]. 王耀瑜,张伯明,孙宏斌,相年德. 中国电机工程学报 . 1998(03)

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