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The work mainly include the steady state analysis of three phase self excited induction generator(SEIG) with conventional NR method and with a new generation technology called Genetic Algorithms(GAs). Induction generator is very useful in remote area where grid supply is not supply. The work present the analysis with resistive and resistive - inductive loading at various power factor. This work mainly include the voltage regulation problem that is very common with SEIG but it can be overcomes by using capacitance in series and shunt,. The capacitance maintain its terminal voltage as load…mehr

Produktbeschreibung
The work mainly include the steady state analysis of three phase self excited induction generator(SEIG) with conventional NR method and with a new generation technology called Genetic Algorithms(GAs). Induction generator is very useful in remote area where grid supply is not supply. The work present the analysis with resistive and resistive - inductive loading at various power factor. This work mainly include the voltage regulation problem that is very common with SEIG but it can be overcomes by using capacitance in series and shunt,. The capacitance maintain its terminal voltage as load increase. GA technique are a family of computational models inspired by evolution. These algorithms encode a potential solution to a specific problem on a simple chromosome like data structure and apply recombination operators to these structure so as to preserve critical information. This work will be very helpful for research students as well as for post graduation student.
Autorenporträt
He is ME in Power Systems and Electric Drives from Thapar University Patiala, India. His area of specialization is Self Excited Induction Generator.