Chauhan, Yogesh K. ; Jain, Sanjay K. ; Singh, Bhim (2011) Genetic algorithm-based optimum performance of compensated self-excited induction generator International Journal of Modelling and Simulation, 31 (4). pp. 263-270. ISSN 1925-7082
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Official URL: http://www.actapress.com/PaperInfo.aspx?paperId=42...
Related URL: http://dx.doi.org/10.2316/Journal.205.2011.4.205-5316
Abstract
The self-excited induction generator (SEIG) shows drooping voltage with the load and thus exhibits poor performance, which can be improved through short-shunt SEIG. In this paper, the series and shunt capacitances for short-shunt SEIG are selected to provide optimum voltage regulation and to provide optimum performance, a combination of voltage regulation and loadability. Correspondingly, the optimization is attempted using genetic algorithm (GA). The GA, a global search and optimization method, provides optimum values of capacitances. The study is carried out for resistive and inductive loads and the results are validated experimentally.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to ACTA Press. |
| Keywords: | SEIG; Compensated SEIG; Genetic Algorithm; Voltage Regulation Optimization; Optimum Performance |
| ID Code: | 106735 |
| Deposited On: | 07 Aug 2017 13:13 |
| Last Modified: | 07 Aug 2017 13:13 |
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