Applied Artificial Intelligence (AI) to Green Power Technology

270 Pages·2022·19.202 MB·English

by  Yogesh Kumar Chauhan, Ranjan Kumar Behera, Asheesh K. Singh

Computer Science,
Technology and Applications

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Yogesh Kumar Chauhan,
Ranjan Kumar Behera
and Asheesh K. Singh
Editors

Applied Artificial Intelligence
(AI) to Green Power
Technology
Copyright © 2022 by Nova Science Publishers, Inc.
DOI: https://doi.org/10.52305/ISQD2111

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Contents

Preface .......................................................................................... vii
Acknowledgments ....................................................................................... ix
Chapter 1 Energy Management and Artificial Intelligence .............1
Subhash Yadav, Pradeep Kumar
and Ashwani Kumar
Chapter 2 Issues and Challenges of Latest Green
Energy Technology Such as Fuel Cell,
Waste to Energy and Application of AI .........................15
S. P. Singh, Arif Iqbal, Yudhishthir Pandey,
Mohammed Aslam Husain and Jaswant Singh
Chapter 3 Voltage Improvement of Short Shunt
Self-Excited Induction Generators
Using Gravitational Search Algorithms
and Genetic Algorithms ..................................................39
Swati Paliwal Sanjay Kumar Sinha
and Yogesh Kumar Chauhan
Chapter 4 Micro/Pico Hydropower Generation
System Using Self-Excited Induction
Generators and Applications of AI
for Its Performance Improvement .................................51
Yudhishthir Pandey, Arif Iqbal,
Surya Prakash Singh and M. Aslam Husain
Chapter 5 An Investigation of Various Maximum
Power Point Tracking Techniques
Applied to Solar Photovoltaic Systems ..........................65
Amit Kumar Sharma
and Rupendra Kumar Pachauri
vi Contents
Chapter 6 Fuzzy Logic-Based Maximum Power
for Grid Connected PV Systems .....................................91
Omveer Singh and Mukul Singh
Chapter 7 Different Reconfiguration Approaches
for Photovoltaic Systems ............................................... 121
Vijay Laxmi Mishra, Yogesh Kumar Chauhan
and K. S. Verma
Chapter 8 Implementation of Metaheuristic
MPPT Approaches for a Large-Scale
Wind Turbine System ................................................... 141
Diwaker Pathak, Aanchal Katyal,
Prerna Gaur and Yogesh Kumar Chauhan
Chapter 9 Wind Power Prediction Using Hybrid
Soft Computing Models................................................. 177
Pavan Kumar Singh, Parvez Ahmad, Nitin Singh,
Niraj Kumar Choudhary and Richa Negi
Chapter 10 Design Optimization of Inner Rotor
Permanent Magnet Synchronous Machine
Used in Wind Energy Conversion System
Using Swarm Intelligence ............................................. 207
Vinod Puri and Yogesh Kumar Chauhan
Chapter 11 A Novel Voltage Stability Index
and Application of Machine Learning
Algorithm for Assessment of Voltage Stability ........... 221
G. Sandhya Rani, M. Chakravarthy
and B. Mangu
Editors’ Contact Information .................................................................. 251
Index ......................................................................................... 253
Preface

Recently, governments all over the world have focused on reducing their
carbon footprint, generating a deep impact on policies of government, apart
from public and private sectors. Now, the world leaders have agreed on
sustainable development, technology, and energy to improve life on earth with
less damage to the environment and ecology.
Nowadays, artificial intelligence (AI) has a wider reach among all areas
of engineering and technology for enhancing productivity, efficiency and
performance. Green power sources are one such area. The major green power
sources are solar, wind, small hydro, natural and hydrogen gas, etc. Most of
these sources have issues of intermittency and non-linear relationship with
input and output variables. So, there is a need to optimize the performance of
these resources to improve their outlook for widespread use and acceptability.
Among the latest AI techniques, fuzzy logic and nature-inspired
algorithms are leading from the front. These techniques are applied to improve
the performance of renewable energy systems, green power technologies such
as solar PV system/wind energy conversion system etc. and control of power
electronics interfaces for renewable energy systems.
The aim of this book is create awareness and generate interest among
UG/PG students, research scholars, engineers, scientists, and regulators and
policy makers of government and the public and private sectors. The book will
have wider reach in audience as it is application area of AI to green power
technologies.
Contributors to this work are some of the most eminent personalities and
researchers in the field. The latest issues and challenges in green power
technologies will be addressed. The newly developed AI tools and techniques
will be proposed and implemented for the solution in this area. Here, the work
embodied in this book will be focused on the latest green power technologies
and their improvement with AI tools and techniques, which will have novel
contributions and will be presented uniquely. The newly developed AI tools
and techniques will be proposed and implemented for the solution in this area.
viii Yogesh Kumar Chauhan, Ranjan Kumar Behera and Asheesh K. Singh
The editors feel that the book Applied Artificial Intelligence (AI) to Green
Power Technology will provide a satisfying experience for the audience. They
will be immensely benefitted by the diversified coverage and in-depth
analysis.

Yogesh Kumar Chauhan, Ranjan Kumar Behera, Asheesh K. Singh
Editors