基于时序信息的模糊Petri网电网故障诊断方法

doi:10.19595/j.cnki.1000-6753.tces.161670

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摘要为提高电网故障诊断的准确性,充分利用报警信号的时序信息,研究一种基于时序信息的分层变迁模糊Petri网故障诊断方法。首先,建立分层变迁加权模糊Petri网（WFPN）故障诊断模型;其次,构建元件、保护和断路器之间的时间关联特性（TAC）,进行时间关联一致性检查;最后,通过模糊推理进行故障诊断,并对保护和断路器异常行为进行评判。通过典型电网算例推理验证,结果证明该方法不仅能够提高故障诊断的准确性和容错性,还能够判断保护和断路器的异常行为并推出元件故障发生时刻。

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关键词 ：电网故障诊断, 模糊Petri网, 时间关联特性, 分层变迁

Abstract：In order to improve the accuracy of power system fault diagnosis, a power grid fault diagnosis method based on hierarchical transition fuzzy Petri nets is proposed, where temporal information of alerting signals is used. The first objective of this method is to build fault diagnosis model of hierarchy weighted fuzzy Petri net (WFPN). Secondly, the related time association character (TAC) is set up. And then the consistency check is carried out among fault components, protection operations and related breakers tripping. Finally, this method can make a fault diagnosis through fuzzy inference, and judge the abnormal behaviors from the protection and breaker. Case study has verified the proposed method can improve the accuracy and fault tolerance.

Key words： Power system fault diagnosis, fuzzy Petri net, time association character, hierarchical transition

收稿日期: 2016-10-21 出版日期: 2017-08-01

PACS:

TM77

基金资助:国家自然科学基金重大项目（U1261205）、国家自然科学基金项目（61503224）和山东省重点研发计划项目（2016GSF117009）资助

作者简介: 程学珍女,1964年生,教授,博士生导师,主要研究方向为电力系统及其自动化。E-mail: zhenxc6411@163.com

引用本文:

程学珍, 林晓晓, 朱春华, 陈强, 曹茂永. 基于时序信息的模糊Petri网电网故障诊断方法[J]. 电工技术学报, 2017, 32(14): 229-237. Cheng Xuezhen, Lin Xiaoxiao, Zhu Chunhua, Chen Qiang, Cao Maoyong. Power System Fault Analysis Based on Hierarchical Fuzzy Petri Net Considering Time Association Character. Transactions of China Electrotechnical Society, 2017, 32(14): 229-237.

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https://dgjsxb.ces-transaction.com/CN/10.19595/j.cnki.1000-6753.tces.161670 https://dgjsxb.ces-transaction.com/CN/Y2017/V32/I14/229

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