Impact of environmental factors on the classification of power quality disturbances in grid-connected wind energy systems

• Type: Article in International Conference Proceedings Book
• Date: 2012

Authors

Mohanty, SR (Author) Other; Kishor, N (Author) Other; Ray, PK (Author) Other; Catalao, JPS (Author) Other

Conference proceedings International

Title: Proceedings of the IASTED International Conference on Power and Energy Systems, EuroPES 2012

Pages: 105-110

11th IASTED European Conference on Power and Energy Systems, EuroPES 2012

Napoli, 25 June 2012 through 27 June 2012

Indexing

Scopus - 0 Citations

Other information

Authenticus ID: P-008-6G0

DOI: 10.2316/p.2012.775-034

Abstract (EN): This paper presents the effect of environmental factors, such as wind speed change, on the classification of power quality (PQ) disturbances in grid-connected wind energy systems. Initially, based on the selection of suitable features and 3-Dimensional feature plots, the PQ disturbances are classified. Further, the disturbances are accurately classified using S-transform based feature extraction followed by classification by modular probabilistic neural network (MPNN), support vector machines (SVMs) and least square support vector machines (LS-SVMs). Different types of sag and swell disturbances due to the change in load and wind speed are created using MATLAB/Simulink and an experimental prototype setup for the classification problem. The results reveal that S-transform based extracted feature data, when trained with MPNN, SVMs and LS-SVM, can effectively classify the PQ disturbances. The accuracy and reliability of the proposed classifier are also validated on signals with noise content. A comparative study is also carried out to determine the robustness of the techniques used. Finally, conclusions are duly drawn.

Language: English

Type (Professor's evaluation): Scientific