Method of power grid fault diagnosis based on informationoptimized dynamic modeling fuzzy Petri net and improved genetic algorithm

被引：0
|
作者：
Sun T. [1 ]
Qu L. [2 ]
Guan H. [1 ]
Liu C. [1 ]
Niu J. [3 ]
机构：
[1] College of Electrical and Information, Beihua University, Jilin
[2] Engineering Training Center, Beihua University, Jilin
[3] Department of Planning and Development, Jilin Chemical Fiber Group Co., Ltd, Jilin
来源：
Xitong Gongcheng Lilun yu Shijian/System Engineering Theory and Practice | 2020年 / 40卷 / 02期
关键词：
Floating storehouse; Generality; Hierarchy; Improved genetic algorithm; Information optimization;
D O I：
10.12011/1000-6788-2018-1540-10
中图分类号：
学科分类号：
摘要：
In order to improve situational awareness of complex faults in power grid, a fault diagnosis method based on pretreatment fuzzy Petri net and improved genetic algorithm is proposed. Firstly, based on the idea of hierarchical and dynamic modeling, the concepts of floating storehouse, floating arc and floating transition are introduced to reasonably embody the logical relationship among main protection, circuit breaker and backup protection, and the diagnosis model of complex fault of components is established. Secondly, the characteristics of fault information sources are excavated and preprocessed. According to the fault type, the corresponding Petri net fault diagnosis model is established dynamically. Thirdly, the parameters of the model are trained and optimized by using the improved genetic algorithm. Finally, the fault tolerance and generality of the Petri net fault diagnosis model are discussed. The simulation results of an example system show that the method highlights the hierarchy and comprehensibility of fault diagnosis process, improves the transparency of the diagnosis model, improves the maintainability of the diagnosis model, and still has high accuracy and good fault tolerance in the case of complex faults in power grid. © 2020, Editorial Board of Journal of Systems Engineering Society of China. All right reserved.
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页码：510 / 519
页数：9
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