Special Issue on Power and Energy Automation Simulation

Under the common background of the global advocacy of low-carbon and environmental-friendly development, as well as Chinese vigorous efforts to promote the goal of "carbon neutrality and carbon peaking", the power and energy systems bear the core tasks of low-carbon transformation and development. However, power and energy systems have the characteristics of wide range, large scale, and strong complexity, which poses significant challenges to the performance and efficiency of traditional simulation platforms and methods. In the process of the continuous generation of new concepts such as cyber-physical systems, digital twins, meta-universes, and the development of new tools such as artificial intelligence as well as big data, the highly-efficient automation simulation technologies are proposed to accelerate the transformation and development of power and energy systems in an all-round way, and promote the full realization of a new ecology of power and energy automation simulation rapidly.

To promote exchanges, cooperation and breakthroughs in power and energy automation simulation of China and global research area, Journal of System Simulation is planning to publish a Special Issue on "Power and Energy Automation Simulation" in July 2022, with special invitations to experts from Shanghai University, Shenzhen Institute of Advanced Technology, University of Leeds, and University of Warwick served as guest editors, and solicited original papers in the field of power and energy automation simulation from experts and scholars.

Potential topics include, but are not limited to the following aspects,

1. New technology of power and energy automation simulation

Cyber-physical system, digital twin, meta-universe, artificial intelligence, big data, machine learning, virtual reality, augmented reality, mixed reality and other new power and energy automation simulation technologies;

2. New platform for power and energy automation simulation

Power and energy automation simulation software design, simulation platform construction, simulation module proposal and other new platform research and development;

3. New scenarios for power and energy automation simulation

Power and energy automation simulation for various scenarios such as new energy power systems, solar energy, wind energy, various types of energy storage, ocean energy, and electric vehicles.

4. Automation simulation of power and energy storage systems

Batteries, super capacitors, fuel cells and other energy storage system automation simulations suitable for various scenarios of electricity and energy.

Guest Editors:

Dr. Zhile Yang, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, China

Zhile Yang is an associate professor at the Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, a member of the Youth Innovation Promotion Association of the Chinese Academy of Sciences. His research interests involve intelligent optimization and simulation methods in power systems, renewable energy and electric vehicles, and has published more than 150 SCI/EI indexed important journals and top conference papers, and applied for 40 invention patents. Presided over 16 projects of the National Natural Science Foundation of China; participated in the national key research and development plan, the EU Horizon 2020 plan, the British Newton Foundation, and more than 30 important projects; served as Complexity Member of the editorial board and the youth editorial board of CAAI Trans, the journal of the Chinese Society of Artificial Intelligence, organized a special issue of intelligent simulation applications in more than 10 well-known journals as guest editors or editorial members; won the first China New Development Award by Springer Nature, China Industry-University-Research Cooperation Innovation Achievement First Prize and 5 awards, and more than 10 outstanding paper awards from various important journals and international conferences.

Dr. Kailong Liu, University of Warwick, UK

Dr Kailong Liu is currently an assistant professor with the Warwick Manufacturing Group (WMG), University of Warwick. He received the Ph.D. degree from the Energy, Power and Intelligent Control group, Queen’s University Belfast (QUB), UK, in 2018. He was a Visiting Student Researcher at the Tsinghua University, China, in 2016. His research interests include system modelling and identification, with the applications to renewable energy systems; The development of new and advanced control and optimization technologies for energy management in electric vehicles and battery energy storage systems, with the aim to improve their efficiency, safety, and sustainability. He was the chair of IEEE QUB student branch, an active member of IEEE Society and a recipient of awards such as EPSRC International Scholarship, Santander International Scholarship. He has produced more than 50 peer-reviewed journal articles, transactions papers and conferences. He is currently the Editor Board Member of Control Engineering Practice, Renewable and Sustainable Energy Reviews, Frontiers in Energy Research. He has been served as the Guest Editors for several reputable international journals related to energy storage control and management (Energy, International Journal of Electrical Power & Energy Systems, IEEE Transactions on Transportation Electrification, IEEE JESTPE, IEEE JESTIE, Transactions of the Institute of Measurement and Control etc.), the IPC member or section chair for many international conferences (ITEC2021, SCCI2021, IJCNN2021, EMET2021, WCCI2020, CEC2020, AIAM2020, etc), and the outstanding or active reviewer for over 30 international journals in the research field.

Professor Dajun Du, Shanghai University, China

Dajun Du is a professor at the School of Mechanical and Electrical Engineering and Automation, Shanghai University. He is the Shanghai Youth Science and Technology Venus, and Shanghai Talent Development Fund winner. He presided over more than 10 projects of the National Natural Science Foundation of China, including major research projects, general and youth funds, projects from the Ministry of Industry and Information Technology, Shanghai Municipal Science and Technology Commission, and enterprise entrusted projects. More than 130 SCI/EI papers have been published in IEEE proceedings. It has applied for 28 intellectual property rights, authorized 6 invention patents, and registered 9 software copyrights. Won the 2018 Shanghai Science and Technology Progress First Prize, 2017 Shanghai Teaching Achievement Second Prize, 2013 Shanghai Natural Science Second Prize, 2018 IMIOT&ICSEE International Conference Best Student Paper Award, 2017 LSMS&ICSEE International Conference Best Paper Award, 2018 China Excellent thesis of the Society of Simulation.

Dr. Yujie Wang, University of Science and Technology of China, China

Yujie Wang received the Ph.D. degree in Control Science and Engineering from the University of Science and Technology of China, Hefei, China, in 2017. Since 2017, he has been with the School of Information Science and Technology, University of Science and Technology of China, where he is currently an Associate Professor at the Department of Automation. He is currently the Secretary of System Simulation Committee of Chinese Association of Automation, the Member of Simulation Technology & Applications Committee of China Simulation Federation, and the Director of IEEE PES Electric Vehicle Technical Committee. He has received the Special President Prize of Chinese Academy of Sciences for Excellent Ph.D. Graduates in 2017, the Excellent Doctoral Dissertation of the Chinese Academy of Sciences in 2019, the Excellent Paper Award of the 34th World Electric Vehicle Symposium & Exhibition (EVS34) in 2021, the Natural Science Award of Chinese Association of Automation in 2018, the Science & Technology Award of Anhui Province, China in 2018, and the Technical Invention Award of the Ministry of Education, China in 2019, respectively. His current research interests are modeling, simulation and control of renewable energy systems, electric and fuel cell vehicles, and management of hybrid energy storage systems. He has been served as the Guest Editors of “Transactions of the Institute of Measurement and Control”, “Frontiers in Energy Research”, “World Electric Vehicle Journal”, etc. He is also active as the IPC member or section chair for many international conferences such as ICEIV2021, ICAE2019, CCSSTA2020, etc.

Professor Kang Li, University of Leeds, UK

Kang Li is the director and chair professor of the Smart Energy System Group at the University of Leeds, and a visiting professor at Queen's University Belfast in UK, Barry University of Technology in Italy, Shanghai Jiaotong University, Harbin Institute of Technology, Tianjin University and many other universities. He is one of the main sponsors of the British side of the first Sino-British Engineering Education and Research University Alliance. He serves as the executive editor or editorial board member of 5 internationally renowned academic journals including IET/IFAC. He is engaged in cutting-edge scientific research in areas such as control, energy-saving and emission reduction in high-energy-consumption manufacturing industries, electric power and new energy, intelligent transportation and energy storage systems. He has published more than 350 papers, of which more than 10 articles have won awards. In the past 10 years, he has presided over or participated in more than 20 projects supported by the British Research Council, the Royal Academy of Engineering, the Royal Academy of Sciences, the Newton Fund, the British Council, and the industry, with a total of over 12 million pounds. The research results have been widely used in the fields of manufacturing, electric power, and transportation. Professor Kang Li has been committed to promoting Sino-British technology and higher education exchanges and cooperation for a long time. He and his colleagues initiated the large-scale Sino-British Science Bridge cooperation project funded by the British Research Council. The technology transfer between China and UK in sustainable energy and built environment has attracted extensive attention from the Chinese and British scientific and technological circles as well as media.

Professor Minrui Fei, Shanghai University, China

Minrui Fei is the professor of the School of Mechanical and Electrical Engineering and Automation, Shanghai University, Deputy Director of the Academic Committee of Shanghai University, Head of the 111 Intelligence Introduction Base of the Department of Intelligent Measurement and Control and Application of Complex Networked Systems of the Ministry of Science and Technology / Ministry of Education, Director of the Shanghai Key Laboratory of Power Station Automation Technology, Shanghai Intelligence Project leader of the International Joint Laboratory of Automation and Networked Control, Fellow of China Simulation Society, Honorary Vice Chairman (Fifth and Sixth Vice Chairman) and Director of Life System Modeling and Simulation Committee, Editor of "Journal of System Simulation" Committee. He engaged in intelligent network control theory, system and simulation research, where he presided over 30 vertical topics such as national key research and development projects, national natural science fund key projects, and national major instrument special projects. He published more than 140 SCI papers in IEEE and IFAC, 2 academic books, 9 Springer book chapters and obtained more than 50 intellectual property rights. He won the second prize of National Science and Technology Progress Award, the first prize of Shanghai Science and Technology Progress Award, the first prize of China Machinery Industry Science and Technology Award, and the first prize of Natural Science of China Simulation Society.

Important Dates

Submission Deadline: 30 March, 2022

Online First: 30 May, 2022

Publication Date: 18 July, 2022

Submission

Manuscripts should be submitted via the Journal of System Simulation online submission system (http://www.china-simulation.com) by indicating the Article Type of "Power and Energy Automation Simulation ". All submitted manuscripts will be screened by the editorial office and peer reviewed according to the usual standards of this journal, and will be evaluated on the basis of originality, quality, and relevance to this Special Issue.

Contact us

Dr.Zhile Yang

Email: zl.yang@siat.ac.cn

Tel: 15900863274