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Fault diagnosis system for large power generation station and its transmission lines based on fuzzy relations

机译:基于模糊关系的大型发电站及其输电线路故障诊断系统

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This paper proposes a fault diagnosis system based on the fuzzy relation theory to estimate the faulty item/section(s) of a large power generation station and its transmission lines. Therefore, it diagnoses the faulteditem/section(s) in terms of the degree of membership. Besides that, it also examines the mis-operation ofcorresponding circuit breakers. The proposed method utilizes the final information of protective relaysand corresponding circuit breakers to build the sagittal diagrams which represent the fuzzy relations for eachitem/section(s). In order to testify the validity and feasibility of that method, a computer simulation of HighDam power generation station and its 500 kV double-circuit transmission lines is used. It is shown from twostudy cases that proposed fault diagnosis system is useful in diagnosing multiple faults as well as simplefaults. Moreover, it has rapid reasoning, correct efficient and using flexible in a power generation stationand its transmission lines for online fault diagnosis. Finally, it enables, assists and supports the operatorof the power generation station control room to make the right decision, especially in case of loss of thecommunication with the dispatch center.
机译:本文提出了一种基于模糊关系理论的故障诊断系统,以估计大型发电站及其输电线路的故障项目/区段。因此,它会根据成员资格诊断故障编辑程序/部分。除此之外,它还检查了相应断路器的误操作。所提出的方法利用保护继电器和相应断路器的最终信息来构建矢状图,该矢状图表示每个项目/部分的模糊关系。为了证明该方法的有效性和可行性,对HighDam发电站及其500 kV双回输电线路进行了计算机仿真。从两个案例中可以看出,提出的故障诊断系统对于多故障和单故障的诊断都是很有用的。此外,它具有快速的推理能力,正确的效率以及在发电站及其传输线中进行在线故障诊断的灵活性。最后,它使发电站控制室的操作员能够获得帮助和支持,从而做出正确的决定,尤其是在失去与调度中心的通信的情况下。

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