基于拓扑图元信息融合的电网故障诊断模型

doi:10.19595/j.cnki.1000-6753.tces.161588

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摘要电网发生故障后快速准确地识别故障元件是缩小停电区域、快速恢复供电的首要前提。针对现有电网故障诊断方法基于单个元件独立建模,难以适应网络拓扑变化的不足,提出一种基于拓扑图元信息融合的电网故障诊断模型。从电网拓扑结构出发,形成系统各元件、保护和断路器的拓扑关联矩阵,以此为图形单元构建信息融合诊断模型,并根据保护配合逻辑及出口方式,定义了远后备保护拓扑映射规则及完整的信息融合推理流程,最后分析了模型对网络拓扑变化及连锁故障的适应性。IEEE 14节点系统仿真算例表明,该方法可以快速准确地判定故障元件,能够适应网络拓扑变化,具有较强的容错性。

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Abstract：Fast and accurate identification of faulty element is the primary prerequisite for reducing power outages and recovering power quickly. Since most of the existing fault diagnosis methods are modeled fora single element, it is difficult to adapt to the topology change. In this paper,an adaptive fault diagnosis model based on topological graph element information fusion was proposed. The topology incident matrixes of elements, protections andcircuit breakerswere established according to topologicalanalysis, andtaken these incident matrixes as basic graph elements, the information fusion diagnosis model was constructed. Besides, the topology mapping rules for the secondary backup protection andthe complete information fusion algorithm were given basedon the protection logic and tripping relationship. Finally the case studies of the IEEE 14-bus system show that the proposed method can identify the fault element quickly and accurately,alsoit has strong fault tolerance and can adapt to the network topology changes.

Key words： Fault diagnosis network topology incident matrix mapping transformation information fusion

收稿日期: 2016-09-30 出版日期: 2018-02-26

PACS:

TM77

基金资助:国家高技术研究发展计划（863计划）资助项目(2015AA050201)

通讯作者: 杨雯女,1993年生,硕士研究生,研究方向为电力系统保护与控制等。E-mail：409708265@qq.com

作者简介: 徐彪男,1993年生,博士研究生,研究方向为电力系统继电保护及故障诊断。E-mail: 1130153930@qq.com

引用本文:

徐彪, 尹项根, 张哲, 陈国炎, 杨雯. 基于拓扑图元信息融合的电网故障诊断模型[J]. 电工技术学报, 2018, 33(3): 512-522. Xu Biao, Yin Xianggen, ZhangZhe, Chen Guoyan, Yang Wen. Power Grid Fault Diagnosis Model Based on Information Fusion of Topological Graph Element. Transactions of China Electrotechnical Society, 2018, 33(3): 512-522.

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