Performance Analysis of Self Excited Induction Generator
Self-excited Induction Generator for power generation from renewable energy sources. DE

Mehr lesen

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.

Über den Autor / die Autorin

Dr. Sonali Paunikar is working as Assistant Professor in Electrical Engg. Deptt, MA National Institute of Technology, Bhopal, India. She received Ph.D. in Power System from Nagpur University in 2019. Her area of research is AI applications in power system, Power system operation and control, voltage security assessment, Renewable energy system.