Artículo
Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems
Autor/es | Wang, Tao
Zhang, Gexiang Zhao, Junbo He, Zhengyou Wang, Jun Pérez Jiménez, Mario de Jesús |
Departamento | Universidad de Sevilla. Departamento de Ciencias de la Computación e Inteligencia Artificial |
Fecha de publicación | 2015 |
Fecha de depósito | 2021-07-13 |
Publicado en |
|
Resumen | This paper proposes a graphic modeling approach,
fault diagnosis method based on fuzzy reasoning spiking neural P
systems (FDSNP), for power transmission networks. In FDSNP,
fuzzy reasoning spiking neural P systems (FRSN ... This paper proposes a graphic modeling approach, fault diagnosis method based on fuzzy reasoning spiking neural P systems (FDSNP), for power transmission networks. In FDSNP, fuzzy reasoning spiking neural P systems (FRSN P systems) with trapezoidal fuzzy numbers are used to model candidate faulty sections and an algebraic fuzzy reasoning algorithm is introduced to obtain confidence levels of candidate faulty sections, so as to identify faulty sections. FDSNP offers an intuitive illustration based on a strictly mathematical expression, a good fault-tolerant capacity due to its handling of incomplete and uncertain messages in a parallel manner, a good description for the relationships between protective devices and faults, and an understandable diagnosis model-building process. To test the validity and feasibility of FDSNP, seven cases of a local subsystem in an electrical power system are used. The results of case studies show that FDSNP is effective in diagnosing faults in power transmission networks for single and multiple fault situations with/without incomplete and uncertain SCADA data, and is superior to four methods, reported in the literature, in terms of the correctness of diagnosis results. |
Agencias financiadoras | National Natural Science Foundation of China |
Identificador del proyecto | 61170016
61373047 61170030 |
Cita | Wang, T., Zhang, G., Zhao, J., He, Z., Wang, J. y Pérez Jiménez, M.d.J. (2015). Fault Diagnosis of Electric Power Systems Based on Fuzzy Reasoning Spiking Neural P Systems. IEEE Transactions on Power Systems, 30 (3), 1182-1194. |
Ficheros | Tamaño | Formato | Ver | Descripción |
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Fault diagnosis of electric power ... | 4.302Mb | [PDF] | Ver/ | |
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