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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Wavelet-artificial immune system algorithm applied to voltage disturbance diagnosis in electrical distribution systems

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Author(s):
Lima, Fernando P. A. [1] ; Lotufo, Anna Diva P. [1] ; Minussi, Carlos Roberto [1]
Total Authors: 3
Affiliation:
[1] Univ Estadual Paulista, Fac Engn Ilha Solteira, Dept Elect Engn, UNESP, BR-15385000 Ilha Solteira, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: IET GENERATION TRANSMISSION & DISTRIBUTION; v. 9, n. 11, p. 1104-1111, AUG 6 2015.
Web of Science Citations: 12
Abstract

This study presents a new approach to detecting and classifying voltage disturbances in electrical distribution systems based on wavelet transform and artificial immune algorithm. This proposal unifies the negative selection artificial immune algorithm with the discrete wavelet transform concept. Thus, the measurements obtained in a distribution substation by the supervisory control and data acquisition acquisition system are transformed into the wavelet domain. Afterward, a negative selection artificial immune system realises the diagnosis, identifying and classifying the abnormalities. The principal application of this tool is to aid the system operation during faults as well as to supervise the protection system. To evaluate the performance of the proposed method, two distribution systems were modelled in EMTP software: an 84-bus test system and a 134-bus real system. The results show a good performance, emphasising the precision of the diagnosis. (AU)

FAPESP's process: 11/06394-5 - Intelligent system for diagnosis and proactivity in electrical distribution systems
Grantee:Carlos Roberto Minussi
Support Opportunities: Regular Research Grants