Hybrid genetic algorithm approach for selective harmonic control
The paper presents an optimal solution for a selective harmonic elimination pulse width modulated (SHE-PWM) technique suitable for a high power inverter used in constant frequency utility applications. The main challenge of solving the associated non-linear equations, which are transcendental in nat...
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| Format: | Article |
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PERGAMON-ELSEVIER SCIENCE LTD
2008
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| Online Access: | http://shdl.mmu.edu.my/2768/ |
| _version_ | 1848790144593690624 |
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| author | DAHIDAH, M AGELIDIS, V RAO, M |
| author_facet | DAHIDAH, M AGELIDIS, V RAO, M |
| author_sort | DAHIDAH, M |
| building | MMU Institutional Repository |
| collection | Online Access |
| description | The paper presents an optimal solution for a selective harmonic elimination pulse width modulated (SHE-PWM) technique suitable for a high power inverter used in constant frequency utility applications. The main challenge of solving the associated non-linear equations, which are transcendental in nature and, therefore, have multiple solutions, is the convergence, and therefore, an initial point selected considerably close to the exact solution is required. The paper discusses an efficient hybrid real coded genetic algorithm (HRCGA) that reduces significantly the computational burden, resulting in fast convergence. An objective function describing a measure of the effectiveness of eliminating selected orders of harmonies while controlling the fundamental, namely a weighted total harmonic distortion (WTHD) is derived, and a comparison of different operating points is reported. It is observed that the method was able to find the optimal solution for a modulation index that is higher than unity. The theoretical considerations reported in this paper are verified through simulation and experimentally on a low power laboratory prototype. (C) 2007 Elsevier Ltd. All rights reserved. |
| first_indexed | 2025-11-14T18:07:57Z |
| format | Article |
| id | mmu-2768 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:07:57Z |
| publishDate | 2008 |
| publisher | PERGAMON-ELSEVIER SCIENCE LTD |
| recordtype | eprints |
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| spelling | mmu-27682011-09-13T08:07:24Z http://shdl.mmu.edu.my/2768/ Hybrid genetic algorithm approach for selective harmonic control DAHIDAH, M AGELIDIS, V RAO, M T Technology (General) QC Physics The paper presents an optimal solution for a selective harmonic elimination pulse width modulated (SHE-PWM) technique suitable for a high power inverter used in constant frequency utility applications. The main challenge of solving the associated non-linear equations, which are transcendental in nature and, therefore, have multiple solutions, is the convergence, and therefore, an initial point selected considerably close to the exact solution is required. The paper discusses an efficient hybrid real coded genetic algorithm (HRCGA) that reduces significantly the computational burden, resulting in fast convergence. An objective function describing a measure of the effectiveness of eliminating selected orders of harmonies while controlling the fundamental, namely a weighted total harmonic distortion (WTHD) is derived, and a comparison of different operating points is reported. It is observed that the method was able to find the optimal solution for a modulation index that is higher than unity. The theoretical considerations reported in this paper are verified through simulation and experimentally on a low power laboratory prototype. (C) 2007 Elsevier Ltd. All rights reserved. PERGAMON-ELSEVIER SCIENCE LTD 2008-02 Article NonPeerReviewed DAHIDAH, M and AGELIDIS, V and RAO, M (2008) Hybrid genetic algorithm approach for selective harmonic control. Energy Conversion and Management, 49 (2). 131-142 . ISSN 01968904 http://dx.doi.org/10.1016/j.enconman.2007.06.031 doi:10.1016/j.enconman.2007.06.031 doi:10.1016/j.enconman.2007.06.031 |
| spellingShingle | T Technology (General) QC Physics DAHIDAH, M AGELIDIS, V RAO, M Hybrid genetic algorithm approach for selective harmonic control |
| title | Hybrid genetic algorithm approach for selective harmonic control |
| title_full | Hybrid genetic algorithm approach for selective harmonic control |
| title_fullStr | Hybrid genetic algorithm approach for selective harmonic control |
| title_full_unstemmed | Hybrid genetic algorithm approach for selective harmonic control |
| title_short | Hybrid genetic algorithm approach for selective harmonic control |
| title_sort | hybrid genetic algorithm approach for selective harmonic control |
| topic | T Technology (General) QC Physics |
| url | http://shdl.mmu.edu.my/2768/ http://shdl.mmu.edu.my/2768/ http://shdl.mmu.edu.my/2768/ |