Special Issues

Optimization Techniques for Smart Energy Transition, Electric Vehicles, Power Engineering and Renewable Energy Resources

Submission Deadline: 31 March 2023 (closed) View: 9

Guest Editors

Dr. S.Kannadhasan,Department of Electronics and Communication Engineering,Study World College of Engineering, India.
Email: kannadhasansuriyan.ece@ieee.org, Kannadhasan.ece@gmail.com

Dr. R.Nagarajan, Department of Electrical and Electronics Engineering, Gnanamani College of Technology, India.
Email: krrajan71@gmail.com

Dr. Alagar Karthick, Department of Electrical and Electronics Engineering, K.P.R. Institute of Engineering and Technology, India.
Email: karthick.power@gmail.com

Dr. George Ghinea, School of Information Systems, Brunel University, United Kingdom.  
Email: george.ghinea@brunel.ac.uk

Dr. Basim Alhadidi, Department of Computer Information Systems,Al-Balqa Applied University, Jordan.
Email: hadidi72@hotmail.com, b_hadidi@bau.edu.jo 

Summary

The clean energy and zero carbon emissions legislation have sparked a tremendous revolution in the electricity sector. PV panels and electric cars are two examples of the distributed energy resources (DERs) that are proliferating in distribution networks and changing the traditional centralised management approach into a bottom-up, decentralised one. Local markets are showing promise as a way to deal with the issue of abundant energy supplies at this level. With sufficient coordination at the distribution grid, trading of energy and flexibility for local agents may be accomplished; nevertheless, this transformation is not achievable without resolving new technological and financial obstacles. The new paradigm calls for creative suggestions and responses with a very broad interdisciplinary research focus.

Global energy systems are undergoing a significant shift as a result of technology advancements, governmental requirements, reductions in carbon emissions, and energy efficiency. With the extensively used low-carbon technology, they grow more sophisticated (e.g., EVs, energy storage, PV, wind turbines, heat pumps, etc.). Intelligent and adaptable energy systems are necessary to handle this vast amount of energy resources effectively.

Our contemporary lives are becoming more and more dependent on energy and electricity, which is changing how we live and how we use energy. The most recent developments and information in the fields of new and renewable energy, power electronics and electric motor drives, distributed generation and multi-energy systems, data analytics, and artificial intelligence will be collected in this special issue. Electric cars are becoming the primary alternative for nations to reduce their GHG emissions due to the use of large-scale renewable energy sources to make up for the limitations of traditional fossil fuels and the decarbonization of energy production, notably in transportation. The fusion of these two technologies comes with a number of technological, societal, and business issues

 

Topics of interest for publication include, but are not limited to:

• Analogue and Digital Signal Processing

• Artificial Intelligence

• Big Data and Data Processing

• Bioenergy and Utilization

• Distributed Generation

• Electrical Generators

• Electrical Motor Drives

• Electromagnetic and Applied Superconductivity

• Electronics, Information and Control Systems

• Energy Market and Power System Economics

• Energy Storage

• Engineering Materials and Process

• Fuel Cells and Applications

• Intelligent control systems

• Nuclear Energy

• Power Electronic Converters

• Power Generation and Sustainable Environment

• Power Quality and Electromagnetic Compatibility

• Power Planning and Scheduling

• Power Semiconductors

• Reliability and Security

• Renewable Energy

• Smart Cities and Smart Grids

• Solar energy and photovoltaics

• Transmission and Distribution Systems

• Wind energy

• New trends in grid integration for renewable resources

• Energy storage for renewable energy applications

• New power converter topologies in renewable energy applications

• Modelling, design and control of power electronic converters



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