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首页> 外文期刊>Generation, Transmission & Distribution, IET >Using dissolved gas analysis results to detect and isolate the internal faults of power transformers by applying a fuzzy logic method
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Using dissolved gas analysis results to detect and isolate the internal faults of power transformers by applying a fuzzy logic method

机译：利用溶解气体分析结果，通过模糊逻辑方法检测和隔离电力变压器内部故障

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One of the most important tools for condition monitoring is the gas chromatography test of transformer oil, which is known as dissolved gas analysis (DGA). In this research, the DGA results of >3000 power transformers operating in Iran's power grid were carefully studied and from among them, the results related to transformers suspicious of being faulty were used to validate the fault detection accuracy of the presented fuzzy inference system (FIS). In most of the previously published papers, the detection and isolation of transformer faults has been based on one or two of the following parameters: absolute concentrations of free and dissolved gases in transformer oil, total dissolved combustible gases, total combustible gases, ratios of some gases to each other, and the rates of gas increase. However, in this research, most of these parameters have been used for fault detection and isolation, according to the IEC 60599 standards. Also, no attempt has been previously made to detect the decomposition of insulation papers of transformers; but the presented FIS is able to detect this fault as well. The overall performance accuracy of the presented system is 1 = 91.2%, which seems to be a suitable value.
机译：用于状态监测的最重要工具之一是变压器油的气相色谱测试，即溶解气体分析（DGA）。在这项研究中，仔细研究了伊朗电网中运行的> 3000台电力变压器的DGA结果，并从中将与可疑变压器有关的结果用于验证所提出的模糊推理系统（FIS）的故障检测精度。 ）。在以前的大多数论文中，变压器故障的检测和隔离都是基于以下一个或两个参数：变压器油中游离气体和溶解气体的绝对浓度，总溶解可燃气体，总可燃气体，某些比率气体彼此之间，气体的速率增加。但是，在这项研究中，根据IEC 60599标准，大多数这些参数已用于故障检测和隔离。另外，以前还没有尝试检测变压器绝缘纸的分解。但是提出的FIS也能够检测到此故障。提出的系统的整体性能精度为1 = 91.2％，这似乎是一个合适的值。

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