基于改进D-S证据理论的智能站保护二次回路故障诊断方法

戴志辉; 鲁浩; 刘媛; 刘兵成; 陈勇

引用本文:	戴志辉,鲁浩,刘媛,等.基于改进D-S证据理论的智能站保护二次回路故障诊断方法[J].电力系统保护与控制,2020,48(9):59-67.
	DAI Zhihui,LU Hao,LIU Yuan,et al.A fault diagnosis method for the secondary circuits of protection systems in smart substations based on improved D-S evidence theory[J].Power System Protection and Control,2020,48(9):59-67

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基于改进D-S证据理论的智能站保护二次回路故障诊断方法
戴志辉¹,鲁浩¹,刘媛¹,刘兵成¹,陈勇²
(1.华北电力大学电力工程系，河北保定 071003;2.云南电网有限责任公司电力科学研究院，云南昆明 650500)

摘要:

当智能站继电保护二次回路存在故障时，故障元件难以快速、有效地被识别。为此，提出一种智能站保护二次回路故障诊断方法。首先，根据SCD文件建立二次回路的物理回路和虚回路模型，确立它们的映射关系。其次，利用举证表法获得故障二次回路的可疑故障元件集合。然后，利用改进D-S证据理论对可疑故障元件集合中的元件进行评估，获得各元件导致回路故障的概率，实现故障元件定位。最后，算例分析表明该方法能够解决元件自检告警证据冲突过大的问题，准确识别故障元件，对继电保护运维工作具有参考价值。

关键词: 智能变电站继电保护二次回路故障诊断举证表

DOI：10.19783/j.cnki.pspc.190722

分类号:

基金项目:国家自然科学基金项目资助(51877084);河北省自然科学基金项目资助(E2018502063);中央高校基本科研业务费项目资助(2017MS096)

A fault diagnosis method for the secondary circuits of protection systems in smart substations based on improved D-S evidence theory

DAI Zhihui¹,LU Hao¹,LIU Yuan¹,LIU Bingcheng¹,CHEN Yong²

(1. Department of Electrical Engineering, North China Electric Power University, Baoding 071003, China, ;2. Electric Power Research Institute of Yunnan Power Grid Co., Ltd., Kunming 650500, China)

Abstract:

In smart substations, it is difficult to identify the faulty component quickly and effectively in the secondary circuit of protection systems. In view of this, a fault diagnosis method for secondary circuits of protection systems in smart substations is proposed to find faulty components accurately. First, the physical-loop and virtual-loop models of the secondary circuit are established according to the SCD file, and their mapping relationship is implemented. Secondly, a fault proof table is used to obtain the suspicious fault component set in secondary circuits of protection systems. Then, improved D-S evidence theory is proposed to evaluate the components in the suspicious component set, and the probability of secondary circuit failure caused by each component is obtained for the realization of fault component identification. Finally, case studies demonstrate that the proposed method can deal with excessive conflict of component self-checking evidence, find fault component accurately, and supply reference for the operation and maintenance of protection systems. This work is supported by National Natural Science Foundation of China (No. 51877084), Natural Science Foundation of Hebei Province (No. E2018502063), and Fundamental Research Funds for the Central Universities (No. 2017MS096).

Key words: smart substation relay protection secondary circuit fault diagnosis fault proof table

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