期刊
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
卷 31, 期 5, 页码 206-212出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ijepes.2009.01.012
关键词
Power quality; Wavelet transform; Artificial neural networks; Hybrid system; Graphical user interface
资金
- CAPES (Coordenacao de Aperfeicoamento de Pessoal de Nivel Superior)
- CNPq (Conselho Nacional de Desenvolvimento Cientifico e Tecnologico)
- FAPESP (Fundacao de Amparo a Pesquisa do Estado de Sao Paulo)
A hybrid system to automatically detect, locate and classify disturbances affecting power quality in an electrical power system is presented in this paper. The disturbances characterized are events from an actual power distribution system simulated by the ATP (Alternative Transients Program) software. The hybrid approach introduced consists of two stages. In the first stage, the wavelet transform (WT) is used to detect disturbances in the system and to locate the time of their occurrence. When such an event is flagged, the second stage is triggered and various artificial neural networks (ANNs) are applied to classify the data measured during the disturbance(s). A computational logic using WTs and ANNs together with a graphical user interface (GU) between the algorithm and its end user is then implemented. The results obtained so far are promising and suggest that this approach could lead to a useful application in an actual distribution system. (C) 2009 Elsevier Ltd. All rights reserved.
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