Series compensation assessment of self-excited induction generator using genetic algorithm
作者： Mohamed A. Enany
DOI: 10.1080/09398368.2017.1299489
关键词:
摘要: AbstractAs the self-excited induction generator (SEIG) is most suitable for remote and windy areas, so pre-evaluation of this performance essential. For better voltage profile power capability, series compensation can be used. This paper presents an assessment shunt, short-shunt long-shunt configurations. A generalized mathematical model SEIG presented. The effectiveness then tested on a three-phase, 1.5-kW operating in all Proposed Genetic Algorithm (GA) has been implemented to predict output capability corresponding load each under various loading conditions. Results obtained from proposed have compared with experimental simulation results. comparison confirms validity accuracy GA as tool different configura...
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