Special Session Introduction

This special session will provide a forum for the advances in modeling, system architecture, and applications for various energy systems toward carbon neutralization, ranging from smart grid to marine energy systems. The focus will be advance modeling and simulation for power electronic based power systems with a special concern for the dynamic stability, data driven modeling to achieve better prediction for smart grid applications with the aid of the advanced artificial intelligence, and system architecture for a cyber-physical energy system to better deal with a more complex system of systems

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Technical Outline of the Session:

Global pledge and efforts for carbon neutrality urge the energy sector which makes up nearly three-quarters of global emissions to keep adopting advanced technologies to fulfill the emission target, which ranges from the power system on the land to the marine energy applications.

Modeling for various energy systems featured by the power electronics system interfaced renewable and energy storage witness its improvement from both the physical-based and data-driven methodologies. For instance, a continuous effort of this has been made to improve the dynamic stability of the system by adopting most advanced analysis and simulation methods. As ICT penetrate more into various power systems, it provides the system with enhanced observability, controllability, intelligence as well as interoperability with other energy systems. Data-driven modeling and applications powered by the most advanced artificial intelligence will offer new solutions for various applications, especially for the operation of the distribution side. Both this modeling and application need foundation guidance, that is, the system architecture, and thus this topic will also be covered in this session to provide a systematic overview.

The focus of the special issue includes but is not limited to the following items:
- Advance microgrid modeling and simulation method and application
- Advance conversion and energy management for marine energy systems
- Challenges in turning various energy systems into cyber-physical systems, such as system architecture, interdependence analysis, and cybersecurity
- Application of artificial intelligence to conversion and energy management
- Carbon tracing and trading embedded in the energy management

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Special Session Organizers

Chendan Li, Researcher, Norwegian University of Science and Technology

Dr. Chendan Li (IEEE S'13-M'16) received the B.S. degree from Nanjing Agricultural University, Nanjing, China, in 2009, the M.S. degree from the Nanjing University of Aeronautics and Astronautics, Nanjing, in 2012, both in electrical engineering. She got her Ph.D. degree from Aalborg University, Denmark, in 2016 in Analysis and Control for AC and DC Microgrids. She works as a researcher for marine electrification in the department of Marine Technology NTNU. She serves as an associate editor on the editorial board for Electrical Engineering, Springer and has given several talks in the conference including the plenary talk for ISGT Europe 2021 about her research. Her main research interests include analysis and control for AC and DC microgrids, including onboard microgrids, operation of distribution system, stability for power electronics based power systems.

Pengwei Chen, Lecturer, Nanjing University of Aeronautics and Astronautics

Dr. Pengwei Chen, IEEE senior member, received the B.S. and Ph.D. degree in electric power engineering from North China Electric Power University, China, in 2014 and 2019, respectively. He is presently a lecturer at Nanjing University of Aeronautics and Astronautics. His research interests include DC distribution network transient simulation, stability, and power quality.

Xu Cheng, Researcher, Smart Innovation Norway

Dr. Xu Cheng (Member, IEEE) received his PhD degree in Engineering from the Department of Ocean Operations and Civil Engineering, Intelligent Systems Laboratory, Norwegian University of Science and Technology (NTNU), Ålesund, Norway, in 2020. He is a researcher at the Department of Manufacturing and Civil Engineering, NTNU, Gjøvik, Norway. Xu Cheng has published more than 30 papers as first and coauthor in the areas of his research interests which include data analytics and artificial intelligence in maritime operations, time series analytics, and predictive maintenance of wind turbines.