计算机与现代化

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基于RS与CPN的电力系统输电线路故障诊断

  

  1. 西安工程大学,陕西西安710048
  • 收稿日期:2016-07-12 出版日期:2016-11-15 发布日期:2016-11-23
  • 作者简介:宋玉琴(1972-),女,陕西西安人,西安工程大学副教授,硕士,研究方向:故障诊断及容错系统,智能监测及管理系统,检测技术及其自动化装置; 李莹(1990-),女,陕西蒲城人,硕士研究生,研究方向:故障诊断; 段俊瑞(1957-),男,陕西澄城人,副教授,博士,研究方向:嵌入式系统及应用。
  • 基金资助:
    陕西省教育厅科研计划项目(15JK1312); 西安市科技计划项目(CXY1517(1))

Fault Diagnosis of Transmission Lines in Power System Based on RS and CPN

  1. Xi’an Polytechnic University, Xi’an 710048, China
  • Received:2016-07-12 Online:2016-11-15 Published:2016-11-23

摘要: 根据电力系统输电线路网络模型结构的特点,建立基于粗糙集(Rough Sets,RS)与有色Petri网(Coloured Petri Net,CPN)相结合的电网故障诊断模型。RS可在保留关键信息的前提下,对提取的故障信息进行约减并求得知识的最小表达,利用CPN对电力线路的结线分析功能建立CPN的电网故障诊断模型。通过实例验证表明本文提出的诊断模型的快速性和简便性,2种方法的结合不仅提高了故障诊断的通用性,而且降低了复杂故障的诊断难度。

关键词: RS, CPN, 故障诊断, 结线分析

Abstract: According to the characteristics of power system transmission line network model structure, this paper established a power grid fault diagnosis model based on Rough Sets(RS) and Coloured Petri Net(CPN). Under the premise of keeping the key information, RS can reduce the extracted fault information and obtain the knowledge of the minimal expression. CPN, based on power line junction line analysis function, can build the CPN model of electric power grid fault diagnosis. Examples show the rapidity and simplicity of the diagnosis model, and the combination of two methods not only improves the generality of fault diagnosis but also reduces the complexity of fault diagnosis.

Key words: RS, CPN, fault diagnosis, nodal analysis

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