Performance Analysis of Self Excited Induction Generator - Paunikar, Sonali;Patidar, Narayan Prasad;Sharma, Ashok Kumar
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Understanding of the performance of self-excited induction generator as a nonlinear dynamic system when operating under a variety of load conditions, which would hopefully contribute to the development of a better regulated/controlled, viable SEIG system. The work presented in this book deals with performance analysis of three phase self-excited induction generator. Two algorithms artificial bee colony algorithm (ABC), brainstorming optimization algorithm (BSO) have been used to analyze the performance of SEIG.

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Produktbeschreibung
Understanding of the performance of self-excited induction generator as a nonlinear dynamic system when operating under a variety of load conditions, which would hopefully contribute to the development of a better regulated/controlled, viable SEIG system. The work presented in this book deals with performance analysis of three phase self-excited induction generator. Two algorithms artificial bee colony algorithm (ABC), brainstorming optimization algorithm (BSO) have been used to analyze the performance of SEIG.
Autorenporträt
La dott.ssa Sonali Paunikar lavora come professore e responsabile del dipartimento di ingegneria elettrica ed elettronica dell'IES College of Technology, Bhopal, India. Ha conseguito il dottorato di ricerca in Power System presso l'Università di Nagpur nel 2019. La sua area di ricerca è l'applicazione dell'intelligenza artificiale nel sistema energetico, il funzionamento e il controllo del sistema energetico, la valutazione della sicurezza della tensione e le energie rinnovabili.