Voltage Control of Self-Excited Induction Generator using Genetic Algorithm
Self-excited induction generators (SEIG) are found to be most suitable candidate for wind energy conversion application required at remote windy locations. Such generators are not able to maintain the terminal voltage with load as, a literature survey reveals, the voltage profile falls sharply with load. In this paper an attempt has been made to improve the voltage profile of a self-excited induction generator. A new methodology based upon Genetic Algorithm (GA) is proposed to compute the steady state performance of the model including core loss branch. Further efforts are made to control the terminal voltage under loaded conditions. Simulated results using proposed modeling have been compared with experimental results. A close agreement between the computed and experimental results confirms the validity of the approach adopted.
Anahtar Kelimeler:
Asychronous generators, Genetic Algorithm, Self-excited induction generator, Voltage regulation
Voltage Control of Self-Excited Induction Generator using Genetic Algorithm
Self-excited induction generators (SEIG) are found to be most suitable candidate for wind energy conversion application required at remote windy locations. Such generators are not able to maintain the terminal voltage with load as, a literature survey reveals, the voltage profile falls sharply with load. In this paper an attempt has been made to improve the voltage profile of a self-excited induction generator. A new methodology based upon Genetic Algorithm (GA) is proposed to compute the steady state performance of the model including core loss branch. Further efforts are made to control the terminal voltage under loaded conditions. Simulated results using proposed modeling have been compared with experimental results. A close agreement between the computed and experimental results confirms the validity of the approach adopted.
Keywords:
Asychronous generators, Genetic Algorithm, Self-excited induction generator, Voltage regulation,
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- Lower and upper bounds on the variables used: Sr. No. Variables Bounds Lower 6000 b μF μF C b= per unit speed of the machine. Appendix II.
- The details of induction machine are: •SpeciŞcations phase, 4-pole, 50 Hz, delta connected, squirrel cage induction machine 2 kW/3HP, 230 V, 8.6 A. •Parameters R= 3.35Ω, R2= 1.76Ω, X1= 4.85Ω, X2= 4.85Ω •Base values Base voltage =230 V Base current =4.96 A Base impedance=46.32 Ω Base capacitance=68.71 μF Base power=3422.4 W Base frequency=50 Hz Base speed=1500 rpm •Air gap voltage
- Variation of air gap voltage with magnetizing reactance at rated frequency induction machine; Xm< 82.292 E1= 344.411− 1.61Xm E1= 465.12− 3.077Xm E1= 579.897− 4.278Xm E1= 0 Xm≥ 108.00
- ISSN: 1300-0632
- Yayın Aralığı: Yılda 6 Sayı
- Yayıncı: TÜBİTAK
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