Electric Transportation Systems in Smart Power Grids : Integration, Aggregation, Ancillary Services, and Best Practices book cover
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Electric Transportation Systems in Smart Power Grids
Integration, Aggregation, Ancillary Services, and Best Practices



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ISBN 9781032277448
February 15, 2023 Forthcoming by CRC Press
584 Pages 310 B/W Illustrations

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Book Description

The leading countries around the globe including Australia has taken serious steps to decarbonize their energy and transportation sectors as part of their obligations for suitable future with less emission and better environment. The decarbonization plans in different countries have enforced changes such as increase in the penetration level of renewable energy sources and introducing electric vehicles as a target for future transportation system. This is the point where mobility meets electricity and brings new challenges and opportunities, especially in the integration with modern power systems. The main impact would be in the demand-side and the distribution network, while these impacts would be also reflected in the operation, control, security and stability of transmission systems. This creates a new grid architecture characterized by a growing variability and uncertainties. Moreover, the growth in the share of renewable in the total energy market is one of the major origins of the increasing fluctuations in the balance between generation and consumption in the whole system. Therefore, the key challenge lies in developing new concepts to ensure the effective integration of distributed energy resources and electric transportation systems including EVs, in existing and future market structures. To address these issues, EVs, E-bus, and other smart appliances in the demand-side can be aggregated to form a virtual Power Plants which are considered as an efficient solution to provide operational flexibility to the grid. The EV-based virtual power plants can also provide several services for Distribution System Operators, Transmission System Operator, and even local prosumers within the energy community

Key Selling Features:

  • Services to power systems from EVs and electric transportation sector
  • Frequency control in modern power systems using aggregated EVs
  • The integration and interaction between EVs and Smart grids
  • Electric vehicles aggregation methods for supporting power systems
  • Flexibility provided from electric transportation system to smart energy sector
  • High penetration level of renewable energy sources and EVs

Table of Contents

1 Electric Vehicles and Their Impact in Smart Distribution Network

2 Electric Vehicles Aggregation Methods

3 Forecasting The Energy Consumption Impact of Electric Vehicles by Means of Machine Learning Approaches

4 Comprehensive bi-directional EV charging scheduling considering the economic aspects

5 Reliability analysis of radially connected distribution networks in the presence of bi-directional charging

6 Optimal Electric Vehicle Charging Station Placement with Online Charging Navigation Strategy in Urban Areas

7 Smart Control Strategies for AC Switches Used in Electric Vehicle Battery Chargers

8 Smart Grid Based Control of Modes of Railroad Power Supply Systems

9 Sustainable Electrified Transportation Systems: Integration of EV and E-bus Charging Infrastructures to Electric Railway Systems

10 Modelling of Electric Vehicle DC Charger

11 Advanced Converter Topologies for EV Fast Charging

12 Systems Optimization of Public Transportation Electrification Using Dynamic Wireless Charging Technology

13 Telecommunications connectivity for Electric Transportation Systems. Challenges, technologies, and solutions

14 Smart control of EV charging in power distribution grids

15 Centralized Supervision and Coordination Load/Frequency Control Problems in Networked Multi-Area Power Systems

16 Distributed Supervision and Coordination Load/Frequency Control Problems in Networked Multi-Area Power Systems

17 Integrated Power and Transportation Systems Targeted by False Data Injection Cyberattacks in a Smart Distribution Network

18 Hybrid Power Systems for Smart Marine Power Grids: Demonstration and Case-study

19 Distributed Optimization and its Application in Electricity Grids Including Electrical Vehicles

 

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Editor(s)

Biography

Dr. Hassan Haes Alhelou is a Senior Member of IEEE. He is with the Department of Electrical and Computer Systems Engineering, Monash University, Clayton, VIC 3800, Australia. At the same time, He is a Professor and faculty member at Tishreen University in Syria, and a consultant with Sultan Qaboos University (SQU) in Oman. Previously, He was with the School of Electrical and Electronic Engineering, University College Dublin (UCD), Dublin 4, Ireland between 2020-21, and with Isfahan University of Technology (IUT), Iran. He completed his B.Sc. from Tishreen University in 2011, M.Sc. and Ph.D. from Isfahan University of Technology, Iran all with honors. He was included in the 2018 & 2019 Publons and Web of Science (WoS) list of the top 1% best reviewer and researchers in the field of engineering and cross-fields over the world. He was the recipient of the Outstanding Reviewer Award from many journals, e.g., Energy Conversion and Management (ECM), ISA Transactions, and Applied Energy. He was the recipient of the best young researcher in the Arab Student Forum Creative among 61 researchers from 16 countries at Alexandria University, Egypt, 2011. He also received the Excellent Paper Award 2021/2022 from IEEE CSEE Journal of Power and Energy Systems (SCI IF: 3.938; Q1). He has published more than 200 research papers in high-quality peer-reviewed journals and international conferences. His research papers received 2550 citations with H-index of 31 and i-index of 65. He authored/edited 15 books published in reputed publishers such as Springer, IET, Wiley, Elsevier, and Taylor & Francis. He serves as an editor in a number of prestigious journals such as IEEE Systems Journal, Computers and Electrical Engineering (CAEE-Elsevier), IET Journal of Engineering, and Smart Cities. He has also performed more than 800 reviews for high prestigious journals, including IEEE Transactions on Power Systems, IEEE Transactions on Smart Grid, IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, Energy Conversion and Management, Applied Energy, International Journal of Electrical Power & Energy Systems. He has participated in more than 15 international industrial projects over the globe. His major research interests are Renewable energy systems, Power systems, Power System Security, Power system dynamics, Power System Cybersecurity, Power system operation, control, Dynamic state estimation, Frequency control, Smart grids, Micro-grids, Demand response, and Load shedding.

Ali Moradi Amani was awarded his PhD from RMIT university in 2020. His graduate and post-graduate studies have been all in control engineering. He is currently a research fellow at RMIT. He had more than 12 years of industry experience before starting his PhD studies at RMIT. His main expertise is in control systems, control and scheduling of DER in distribution power grids, and complex dynamical networks. His publications have received more than 225 citations with an h-index of 9.

Samaneh Sadat Sajjadi received her B.Sc. and M.Sc., in Electrical and Mechanical Engineering from Sharif University of Technology, Tehran, Iran, in 2004 and 2007, respectively. She was awarded her PhD from Ferdowsi University of Mashhad, Iran in 2015. Her graduate and post-graduate studies have been all in control engineering. She has been an assistant professor with the Department of Electrical Engineering, Hakim Sabzevari University, Iran from 2015-2020. She is currently a researcher at the School of Engineering, RMIT University, Melbourne, Australia. Her research interests include the modelling and optimization/optimal control of the nonlinear systems (power, renewable energy and biology systems), data-driven control, computational methods of optimal control for nonlinear and fractional-order systems as well as fractional dynamics and their application in science and engineering. Her publications have received more than 650 citations with an h-index of 11.

Mahdi Jalili is an Associate Professor of Electrical Engineering and AI at RMIT University, Melbourne, Australia. He holds a PhD in Computer, Communications and Information Sciences from Swidd Federal Institute of Technology (EPFL), Lausanne, Switzerland. He was an Australia Research Council DECRA Fellow and an RMIT Vice-Chancellor Research Fellow. His research expertise is on complex network systems, machine learning and energy analytics.