基于模糊集合理论的发电机低励失磁故障识别方法研究

何涛; 房鑫炎

引用本文:	何涛,房鑫炎.基于模糊集合理论的发电机低励失磁故障识别方法研究[J].电力系统保护与控制,2008,36(2):1-5.
	HE Tao,FANG Xin-yan.Research on loss in field of generator identification based on fuzzy set theory[J].Power System Protection and Control,2008,36(2):1-5

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基于模糊集合理论的发电机低励失磁故障识别方法研究
何涛, 房鑫炎
上海交通大学电气工程系，上海 200240

摘要:

当发电机发生外部故障时，基于阻抗判据的低励失磁保护，存在误动的可能性。根据低励失磁和外部故障所呈现的不同特征，利用模糊集合理论，提出一种识别低励失磁故障和外部故障的方法。通过分析故障时的特征量，并选择合适的隶属函数，建立了相应的模糊数学模型。Matlab的仿真计算结果也证明了该方法的有效性和可靠性。

关键词: 低励失磁外部故障模糊集合理论特征量

DOI：10.7667/j.issn.1674-3415.2008.02.001

分类号:

基金项目:国家自然科学基金重点项目(90612018)

Research on loss in field of generator identification based on fuzzy set theory

HE Tao, FANG Xin-yan

School of Electrical Engineering, Shanghai Jiaotong University, Shanghai 200240, China

Abstract:

When faults occur outside of the generator, it is possible for the impedance criterion based protection to have unwanted operations. In the light of the features revealed themselves during loss in field and the fault out of generator, a new fuzzy set theory based method to identify the kind of fault is given. By analyzing the characteristic quantity and choosing relevant membership function, corresponding fuzzy mathematical model is given. The effectiveness and reliability of the presented method are verified by the results of simulation with Matlab.

Key words: low excitation outside fault fuzzy set theory characteristic quantity

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