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Artificial Intelligence for Renewable Energy Systems
book

Artificial Intelligence for Renewable Energy Systems

by Ajay Kumar Vyas, S. Balamurugan, Kamal Kant Hiran, Harsh S. Dhiman
March 2022
Intermediate to advanced content levelIntermediate to advanced
272 pages
6h 54m
English
Wiley-Scrivener
Content preview from Artificial Intelligence for Renewable Energy Systems

1Analysis of Six-Phase Grid Connected Synchronous Generator in Wind Power Generation

Arif Iqbal1* and Girish Kumar Singh2

1Department of Electrical Engineering, Rajkiya Engineering College Ambedkar Nagar, Akbarpur, India

2Department of Electrical Engineering, Indian Institute of Technology Roorkee, Roorkee, India

Abstract

Owing to meet the incremental need of energy with exhaustion of fossil fuel in few upcoming years, renewable power generation has emerged as a potential and permanent solution in present scenario. In this regard, research has diverted toward exploration and development of various new techniques of renewable power generation for last few decades, and various systems have been adopted in both isolated and grid connected modes. Among various available options (solar, wind, biomass, tidal, etc.), the wind power generation system has a major market share due to its pollution-free operation together with its economic viability and mature technology. Presently, wind power generation system is increasing exponentially, particularly in on-shore sites of India and European subcontinents. Wind power generation system works on a successful operation and coordination of various parts, where an electric generator is an important component. Hence, the selection of suitable electrical machine (as generator) is of paramount importance for reliable operation of complete wind power generation system. Conventionally, three-phase electrical machine is employed. But, in last two ...

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Publisher Resources

ISBN: 9781119761693Purchase Link