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A Gravitational Search Algorithm Based Static VAR Compensator Switching Function Optimization Technique for Minimum Harmonic Injection.
- Source :
-
Electric Power Components & Systems . 2015, Vol. 43 Issue 20, p2297-2310. 14p. - Publication Year :
- 2015
-
Abstract
- Switching function optimization for minimum source harmonic injection for a static VAR compensator is presented. The static VAR compensator is configured with a fixed capacitor and insulated-gate bipolar transistor controlled reactor. The switching function is optimized for minimum source harmonic injection considering the desired fundamental voltage across load terminals. A gravitational search algorithm is employed for this purpose. It is observed that the proposed switching scheme with two different switching angles per half-cycle provides lower source harmonic injection compared to conventional switching, hence improving the source current harmonics. The switching angles are computed off-line using the gravitational search algorithm for varying modulation indices considering the minimum total harmonic distortion of the reactor voltage. The switching angles are stored in a processor as a function of the modulation index for on-line application using a piecewise mixed model approximation technique for low memory usage. It is observed that the proposed switching improves the source current total harmonic distortion on an average of 4 to 5% over most of the operating range compared to conventional switching without optimization. Various simulation and experimental results are presented on different loads to validate the proposed concept. [ABSTRACT FROM PUBLISHER]
Details
- Language :
- English
- ISSN :
- 15325008
- Volume :
- 43
- Issue :
- 20
- Database :
- Academic Search Index
- Journal :
- Electric Power Components & Systems
- Publication Type :
- Academic Journal
- Accession number :
- 110833834
- Full Text :
- https://doi.org/10.1080/15325008.2015.1082163