Performance Analysis of Self Excited Induction Generator

By Narayan Prasad Patidar, Ashok Kumar Sharma, Sonali Paunikar

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.

• Format: Paperback
• Language: English
• ISBN: 6206146561
• ISBN13: 9786206146568
• Release Date: February 2023
• Publisher: LAP Lambert Academic Publishing
• Length: 248 Pages
• Weight: 0.81 lbs.
• Dimensions: 0.6" x 6.0" x 9.0"