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基于节点撕裂和化学反应优化算法的接地网故障诊断
引用本文:周斌,彭敏放,黄清秀,荆晶,沈美娥.基于节点撕裂和化学反应优化算法的接地网故障诊断[J].电力自动化设备,2017,37(1).
作者姓名:周斌  彭敏放  黄清秀  荆晶  沈美娥
作者单位:湖南大学 电气与信息工程学院,湖南 长沙 410082,湖南大学 电气与信息工程学院,湖南 长沙 410082,湖南大学 电气与信息工程学院,湖南 长沙 410082,湖南大学 电气与信息工程学院,湖南 长沙 410082,北京信息科技大学 计算机学院,北京 100101
基金项目:国家自然科学基金资助项目(61173108,61472128);湖南省自然科学基金重点资助项目(14JJ2150)
摘    要:针对接地网故障诊断准确率不高的问题,结合电网络理论、虚拟分子理论和化学反应优化算法,提出了基于节点撕裂和化学反应优化算法的接地网腐蚀故障诊断方法。根据接地网的拓扑结构,将接地网撕裂成若干个子网络和自由支路,建立故障诊断多目标优化模型;将Logistic映射融入化学反应优化算法中,构建了一种新的化学反应优化算法,并运用该算法对所构建的故障诊断模型进行求解。仿真结果表明,所提方法故障诊断准确率高,能有效诊断接地网故障。

关 键 词:接地网  故障诊断  化学反应优化算法  节点撕裂  Logistic映射

Grounding grid fault diagnosis based on node tearing and chemical reaction optimization algorithm
ZHOU Bin,PENG Minfang,HUANG Qingxiu,JING Jing and SHEN Meie.Grounding grid fault diagnosis based on node tearing and chemical reaction optimization algorithm[J].Electric Power Automation Equipment,2017,37(1).
Authors:ZHOU Bin  PENG Minfang  HUANG Qingxiu  JING Jing and SHEN Meie
Affiliation:College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China,College of Electrical and Information Engineering, Hunan University, Changsha 410082, China and College of Computer Science, Beijing Information Science & Technology, Beijing 100101, China
Abstract:With the combination of electric network theory, virtual molecular theory and chemical reaction optimization algorithm, a method of grounding grid fault diagnosis based on the node tearing and chemical reaction optimization algorithm is proposed to improve the diagnosis accuracy. The grounding grid is torn up into several sub-grids and independent branches according to its topology and a fault diagnosis model with multi-objective optimization is established. The Logistic mapping is integrated into the chemical reaction optimization algorithm, which is applied to solve the established fault diagnosis model. Simulative results show that the proposed method has high accuracy of grounding grid fault diagnosis.
Keywords:grounding grid  fault diagnosis  chemical reaction optimization algorithm  note tearing  Logistic mapping
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