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Online Fault Diagnosis for Power Transmission Networks Using Fuzzy Digraph Models

机译:输电网络在线故障诊断的模糊图模型

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摘要

This paper presents an effective method for online fault diagnosis, in power transmission networks, based on fuzzy directed graph (digraph) models. When the relationships between fault sections and protective devices are represented by a digraph model, the possible fault sections can be traced through the proposed fuzzy inference algorithm. The main features of the proposed method include its ease of implementation, parallel information-processing capability, and uncertainty reasoning capabilities. Upon testing in two systems, the proposed method was demonstrated to be feasible and yielded satisfactory results, even with complex fault scenarios.
机译:本文提出了一种基于模糊有向图(图)模型的输电网络在线故障诊断的有效方法。当故障部分与保护装置之间的关系由有向图模型表示时,可以通过提出的模糊推理算法来跟踪可能的故障部分。该方法的主要特点包括易于实现,并行信息处理能力和不确定性推理能力。经过在两个系统上的测试,该方法被证明是可行的,即使在复杂的故障情况下也能获得令人满意的结果。

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