Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/117102
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Type: Journal article
Title: Fault diagnosis of power systems using fuzzy tissue-like P systems
Author: Peng, H.
Wang, J.
Shi, P.
Pérez-Jiménez, M.
Riscos-Núñez, A.
Citation: Integrated Computer Aided Engineering, 2017; 24(4):401-411
Publisher: IOS Press
Issue Date: 2017
ISSN: 1069-2509
1875-8835
Statement of
Responsibility: 
Hong Peng, Jun Wang, Peng Shi, Mario J. Pérez-Jiménez and Agustín Riscos-Núñez
Abstract: Fuzzy tissue-like P systems (FTPS), as a new variant of tissue-like P systems (TPS), is proposed in this paper. FTPS inherits the advantages of TPS and has the ability of dealing with incomplete and uncertain information. FTPS is very suitable to model the causal relationship between a fault and its protective devices in power systems. A forward reasoning algorithm based on FTPS is developed, and then the corresponding fault diagnosis model is discussed. In order to evaluate the availability and effectiveness of the proposed fault diagnosis model, three case studies of fault diagnosis of a transmission system are discussed and analyzed, including simple fault, complex faults and multiple faults with uncertain status information. The results of case studies demonstrate that FTPS can be used to diagnose faulty sections in power systems accurately and effectively.
Keywords: Power systems; fault diagnosis; tissue-like P systems; fuzzy tissue-like P systems
Rights: © 2017 – IOS Press and the author(s). All rights reserved
DOI: 10.3233/ICA-170552
Appears in Collections:Aurora harvest 8
Electrical and Electronic Engineering publications

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