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© 2020

Nature Inspired Optimization for Electrical Power System

  • Manjaree Pandit
  • Hari Mohan Dubey
  • Jagdish Chand Bansal
Book

Part of the Algorithms for Intelligent Systems book series (AIS)

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Kavita Sharma, Hari Mohan Dubey, Manjaree Pandit
    Pages 1-12
  3. Rupali Parmar, Sulochana Wadhwani, Manjaree Pandit
    Pages 13-29
  4. Poonam Singh, Manjaree Pandit, Laxmi Srivastava
    Pages 31-42
  5. Nikhil Paliwal, Laxmi Srivastava, Manjaree Pandit
    Pages 43-54
  6. Salil Madhav Dubey, Hari Mohan Dubey, Manjaree Pandit
    Pages 69-82
  7. Khushboo Sharma, Hari Mohan Dubey, Manjaree Pandit
    Pages 115-129

About this book

Introduction

This book presents a wide range of optimization methods and their applications to various electrical power system problems such as economical load dispatch, demand supply management in microgrids, levelized energy pricing, load frequency control and congestion management, and reactive power management in radial distribution systems. Problems related to electrical power systems are often highly complex due to the massive dimensions, nonlinearity, non-convexity and discontinuity associated with objective functions. These systems also have a large number of equality and inequality constraints, which give rise to optimization problems that are difficult to solve using classical numerical methods. In this regard, nature inspired optimization algorithms offer an effective alternative, due to their ease of use, population-based parallel search mechanism, non-dependence on the nature of the problem, and ability to accommodate non-differentiable, non-convex problems. The analytical model of nature inspired techniques mimics the natural behaviors and intelligence of life forms. These techniques are mainly based on evolution, swarm intelligence, ecology, human intelligence and physical science.

 


Keywords

Nature Inspired Optimization Economic Load Dispatch Renewable Energy Resources Competitive Electricity Market Load Frequency Control Levelized Cost of Energy Microgrid Reactive Power Management Hydrothermal Scheduling

Editors and affiliations

  • Manjaree Pandit
    • 1
  • Hari Mohan Dubey
    • 2
  • Jagdish Chand Bansal
    • 3
  1. 1.Department of Electrical EngineeringMadhav Institute of Technology and ScienceGwaliorIndia
  2. 2.Department of Electrical EngineeringMadhav Institute of Technology and ScienceGwaliorIndia
  3. 3.South Asian UniversityNew DelhiIndia

About the editors

Prof. Manjaree Pandit received her M.Tech. degree in Electrical Engineering from Maulana Azad College of Technology, Bhopal, India, in 1989 and her Ph.D. degree from Jiwaji University Gwalior, India, in 2001. She is currently working as a Professor and Dean of Academics at the Department of Electrical Engineering, M.I.T.S., Gwalior, India. She is a senior member of the IEEE, a reviewer for several journals, and has published more than 60 papers in respected international journals. Her research interests include the integration of hybrid renewable energy sources with power grids, nature inspired algorithms, ANN and fuzzy neural network applications to electrical power systems.

Dr. Hari Mohan Dubey is an Associate Professor at Madhav Institute of Technology & Science, Gwalior, India. Dr. Dubey received his Ph.D. degree in Electrical Engineering from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal, India. He is associated with various SCI journals as reviewer, and has published more than 70 research papers in various international journals/conference proceedings. His main research interests are in bio-inspired algorithms and their applications to electrical engineering, particularly, power system planning and operation with the integration of renewable energy sources.

Dr. Jagdish Chand Bansal is an Associate Professor at South Asian University New Delhi and Visiting Faculty at the Department of Maths and Computer Science, Liverpool Hope University, UK. Dr. Bansal received his Ph.D. in Mathematics from the IIT Roorkee. Before joining SAU New Delhi, he worked as an Assistant Professor at ABV-Indian Institute of Information Technology and Management, Gwalior, and at BITS Pilani. He is the series editor of Algorithms for Intelligent Systems (AIS), published by Springer; the Editor-in-Chief of International Journal of Swarm Intelligence (IJSI), published by Inderscience; and an Associate Editor of IEEE ACCESS, published by the IEEE. He is the general secretary of the Soft Computing Research Society (SCRS). His main research interests are in swarm intelligence and nature inspired optimization techniques. Recently, he proposed a fission–fusion social structure-based optimization algorithm, Spider Monkey Optimization (SMO), which is currently being applied to various problems in the engineering domain. He has published more than 60 research papers in various international journals/conference proceedings.

 


Bibliographic information

  • Book Title Nature Inspired Optimization for Electrical Power System
  • Editors Manjaree Pandit
    Hari Mohan Dubey
    Jagdish Chand Bansal
  • Series Title Algorithms for Intelligent Systems
  • Series Abbreviated Title Algorithms for Intelligent Systems
  • DOI https://doi.org/10.1007/978-981-15-4004-2
  • Copyright Information The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2020
  • Publisher Name Springer, Singapore
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-981-15-4003-5
  • Softcover ISBN 978-981-15-4006-6
  • eBook ISBN 978-981-15-4004-2
  • Series ISSN 2524-7565
  • Series E-ISSN 2524-7573
  • Edition Number 1
  • Number of Pages XIV, 129
  • Number of Illustrations 14 b/w illustrations, 35 illustrations in colour
  • Topics Electrical Engineering
    Energy Systems
    Mathematics, general
    Optimization
  • Buy this book on publisher's site