NDLI: Method of power grid fault diagnosis using intuitionistic fuzzy Petri nets

Content Provider	IET Digital Library
Author	Zhang, Xu Yue, Shuai Zha, Xiaobing
Abstract	The uncertainty of alarm information in power grids can lead to incorrect diagnosis of faults. The authors propose a method for diagnosing power grid faults that considers the uncertainty of alarm information using intuitionistic fuzzy logic. To consider the influence of the uncertainty of alarm information in fault diagnosis, an intuitionistic fuzzy set is used to represent the certainty and the uncertainty of alarm information. Using topological analysis and the logical relationships among electrical devices, protective actions, and circuit breaker trips, the authors establish a diagnostic model for power systems based on intuitionistic fuzzy Petri nets. The certainty and the uncertainty of electrical device fault events are calculated using the reasoning method for intuitionistic fuzzy Petri nets. The results for some test cases show that this method can effectively diagnose complex faults in power systems when multiple components operate incorrectly in the complicated data environment and the information is not trusted.
Starting Page	295
Ending Page	302
Page Count	8
ISSN	17518687
Volume Number	12
e-ISSN	17518695
Issue Number	Issue 2, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-gtd/12/2
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-gtd.2017.0471
Journal	IET Generation, Transmission & Distribution
Publisher Date	2017-08-29
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Alarm Information Uncertainty Circuit Breaker Circuit Breaker Trips Combinatorial Mathematics Diagnostic Model Electrical Device Electrical Device Fault Events Fault Diagnosis Fuzzy Set Theory Intuitionistic Fuzzy Petri Nets Intuitionistic Fuzzy Set Petri Nets Power Grid Power Grid Fault Diagnosis Power System Power System Fault Power System Reliability Protective Actions Reasoning Method Reliability Switch Topological Analysis
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Energy Engineering and Power Technology Electrical and Electronic Engineering

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