1st Edition

Distributed Energy Resources and Electric Vehicle Analysis and Optimisation of Network Operations

Edited By Aijaz Ahmad, Kushal Jagtap, Keerti Rawal Copyright 2024
    284 Pages 179 B/W Illustrations
    by CRC Press

    Explore the prospective developments in energy systems and transportation through an in-depth examination of Distributed Energy Resources and Electric Vehicle: Analysis and Optimisation of Network Operations . This innovative publication explores the realm of renewable energy, electric vehicles, and their in uence on network operations, offering valuable perspectives for readers from diverse disciplines.

    This extensive publication delves into the complex interplay between distributed energy resources (DERs) and electric vehicles (EVs), as well as their incorporation into established power grids. The subject matter encompasses a diverse array of topics, encompassing the attributes and advantages of distributed energy resources (DERs) and electric vehicles (EVs), obstacles related to grid integration, efficient allocation of resources, and strategies pertaining to demand response. The book offers a comprehensive exploration of system analysis and optimisation techniques, emphasising the effective utilisation of distributed energy resources (DERs) and electric vehicles (EVs) in energy networks. It aims to equip readers with a robust comprehension of strategies to optimise the performance and potential of DERs and EVs in this context.

    The book focuses on pioneering research and innovative solutions that are at the forefront of enhancing network operations. The authors demonstrate the novelty and applicability of their findings through the examination of real-world case studies and the utilisation of sophisticated mathematical models. This book serves as a highly valuable resource for individuals engaged in research, engineering, policy-making, and industry-related activities who are interested in effectively navigating the dynamic realm of energy systems and transportation. It equips them with the necessary knowledge and insights to make well-informed decisions that contribute to the attainment of a sustainable future.

    Chapter 1 Comprehensive Review of Grid Operation with Distributed Resources and Charging Stations for Electric Vehicles

    Santhosha D ., Ramesh H.R. and Mamatha N .

    Chapter 2 A Comprehensive Study of Life Cycle Assessments of Electric Vehicles and IC Engine Vehicles

    Chunendra Kumar Singh Chaudhary , Dil Khush Meena , Arti Singhal and Sunanda Sinha

    Chapter 3 Electric Vehicle Charging Infrastructure: Optimal Location Problem Modeling Options and Solution Techniques

    Dil Khush Meena , Arti Singhal , Chunendra Kumar Singh Chaudhary and Sunanda Sinha

    Chapter 4 Comprehensive Study on Electric Vehicles: Integration with Renewable Energy, Charging Infrastructure, Model Variations, Regulatory Frameworks, and Assessing Operational Effiiency of Hybrid Electric Vehicles

    Keeti Rawal and Chandra Kant

    Chapter 5 Wireless Chargers for Electric Vehicles

    Anamika Das , Ananyo Bhattacharya and Pradip Kumar Sadhu

    Chapter 6 Review of Control Strategy with Different Loading Conditions Considering Demand Side Management

    B . Mouleeka , Sourav Chakraborty and Susmita Kar

    Chapter 7  Coordinated Operation of Electric Vehicle Charging Stations (EVCS) and Distributed Power Generation in Grids Using AI Technology

    Mamatha N. , Ramesh H.R. and Santhosha D.

    Chapter 8  Model Predictive Control of Grid-Connected Wind Energy Conversion System Using VSC-Based Shunt Controllers

    Apoorva Srivastava and R.S . Bajpai

    Chapter 9 Model Predictive Control of Multiple Renewable Energy Sources in Hybrid DC Microgrids for Power Flow Control

    Apoorva Srivastava and R.S. Bajpai

    Chapter 10  Analysis of an IUPQC Device Using Conventional PID and FOPID Controllers in a Wind Energy Conversion System

    G . Pandu Ranga Reddy , Kushal Jagtap , Y . Chintu Sagar and R . Sheba Rani

    Chapter 11  Photovoltaic-Based Battery-Integrated E-Rickshaw with Regenerative Braking Using Real-Time Implementation

    Arpita Basu and Madhu Singh

    Chapter 12 Allocation of Distribution System Losses Considering the Effects of Load Power Factor and Distributed Generation

    Kushal Jagtap , Vijay Pal Singh and Aijaz Ahmad



    Aijaz Ahmad received his B.E. (Electrical Engg.) degree from National Institute of Technology (NIT), Srinagar, India in 1984, M.Tech. and Ph.D. from Indian Institute of Technology, New Delhi, India in 1991 and 1998 respectively. He was a Lecturer and later Assistant Professor in the Electrical Engineering Department, NIT, Srinagar. Since 2006 he has been working there as a Professor. In between he remained Head of the Department from 2012-2015. His main research interests are Power System Operation & Optimization, Power System Restructuring and Deregulation, Flexible AC Transmission, Energy System Planning & Auditing. Aijaz Ahmad is a Member IEEE, Fellow of Institution of Engineers (India), Life Member of Indian Society for Technical Education and Member Global Science and Technology Forum.

    Kushal Jagtap received his B.E. (Electrical Electronics and Power Engg.) degree from the Government College of Engineering Aurangabad, Maharashtra, India in 2007 and, M.Tech. (Power System) and Ph.D. from Indian Institute of Technology Roorkee, India in 2012 and 2018, respectively. His PhD thesis title was "Loss Allocation in a Radial Distribution System with Distributed Generation." He joined as a PostDoc fellow under the project title "Impact of Electric Vehicles on Demand Side Management" at the Indian Institute of Technology Madras, India in 2018. He is presently working as an Assistant Professor in the Electrical Engineering Department, NIT Srinagar since 2018. His main research interests and major topics taught during the last three years are Loss Allocation, Distributed Generation, Power System Operation & Optimization, Power System Restructuring and Deregulation, and Flexible AC Transmission. Kushal Jagtap has been a Member IEEE for the last three years.

    Keerti Rawal received her B.Tech (Electrical Engineering) from National Institute of Technology Jaipur, Rajasthan, India in 2013 and M.E. (Electrical Engineering) from Indian Institute of Science Bangalore in 2015. Keerti Rawal is currently pursuing PhD in Department of Electrical Engineering NIT Srinagar. She is exploring the impacts of integration of renewable energy resources and storage on the electrical grid, primarily focussing on electricity markets and energy analytics in her doctoral research. Her key interests are energy market, power system optimization, energy analytics, distributed optimization, energy forecasting, electric vehicles, control strategies, spinning reserves, and energy storage technologies. She has been a student member of IEEE for 4 years.