| Full text | |
| Author(s): |
Total Authors: 4
|
| Affiliation: | [1] Univ Estado Mato Grosso UNEMAT, Dept Elect Engn, BR-78555000 Sinop, MT - Brazil
[2] UNESP, Fac Engn Ilha Solteira, Dept Elect Engn, BR-15385000 Ilha Solteira, SP - Brazil
[3] Texas A&M Univ, Dept Elect & Comp Engn, College Stn, TX 77843 - USA
Total Affiliations: 3
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| Document type: | Journal article |
| Source: | IEEE Transactions on Power Delivery; v. 31, n. 2, p. 428-436, APR 2016. |
| Web of Science Citations: | 21 |
| Abstract | |
This paper presents a methodology for automated disturbance analysis and fault location on electric power distribution systems using a combination of modern techniques for network analysis, signal processing, and intelligent systems. New algorithms to detect, classify, and locate power-quality disturbances are developed. The continuous process of detecting these disturbances is accomplished through statistical analysis and multilevel signal analysis in the wavelet domain. The behavioral indices of the current and voltage signals are extracted by employing the discrete wavelet transform, multiresolution analysis, and the concept of signal energy. These indices are used by a number of independent Fuzzy-ARTMAP neural networks, which aim to classify the fault type and the power-quality events. The fault location is performed after the classification process. A real life three-phase distribution system with 134 nodes-13.8 kV and 7.065 MVA-was used to test the proposed algorithms, providing satisfactory results, attesting that the proposed algorithms are efficient, fast, and, above all, intelligent. (AU) | |
| FAPESP's process: | 13/23590-8 - Development of a distribution energy management system simulator for Smart Grids |
| Grantee: | José Roberto Sanches Mantovani |
| Support Opportunities: | Regular Research Grants |