E3S Web Conf.
Volume 182, 20202020 10th International Conference on Power, Energy and Electrical Engineering (CPEEE 2020)
|Number of page(s)||6|
|Section||Modern Power System Control and Operation|
|Published online||31 July 2020|
Knowledge representation and intelligent fault diagnosis technology for power grid faults
1 Power Dispatching and Controlling Centre, Guangzhou Power Supply Co., Ltd., Guangzhou 510620, China
2 School of Electrical Engineering, South China University of technology, Guangzhou 510640, China
* Corresponding author: firstname.lastname@example.org
Aiming at that the automatic fault diagnosis method is difficult to locate the fault causes under uncertain circumstances which include malfunctions of the equipment and wrong alarm messages, a knowledge model was proposed to describe the relationship, status and operation of the equipment. And based on the model, the action logic between equipment after accidents is expressed in the form of rules combined with predicate logic. The corresponding interpretation and checking results of the relative alarm messages are given by reasoning the accident chain under different fault hypothesis. And the optimal judgment result is obtained through the calculation of prior probability. The validity of the method is verified by a practical fault case.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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