Session Title: Optimization and Enhancement of Power Grid Resilience
Introduction: This session focuses on cutting-edge research and practical advancements in the optimization and enhancement of power grid resilience. As the energy sector rapidly evolves with the increasing integration of renewable energy sources, the expansion of microgrids, and the deployment of intelligent energy systems, ensuring grid resilience has become a critical challenge. This session highlights the role of artificial intelligence (AI) and optimization techniques in improving system robustness, adaptability, and operational efficiency. Poster presentations will feature innovative solutions, algorithms, and technologies that address real-world problems in the following areas:
➢ AI approach applications in microgrid operation, dispatch, and control for
improving grid flexibility and reliability
➢ Optimization strategies for resilient power system planning and
restoration
➢ Smart energy management systems under uncertainty
➢ Renewable energy integration and resource forecasting
➢ Battery energy storage systems (BESS) and their role in resilience
➢ Distributed control and autonomous operation of microgrids
This session provides an engaging forum for researchers, engineers, and practitioners to showcase their work, exchange ideas, and foster interdisciplinary collaboration through visual, interactive presentations. Participants are encouraged to present novel methodologies, simulation results, case studies, and experimental insights.
● Related topics: Microgrid Operation, Optimization, and Dispatch; Energy Management; Renewable Energy
Tung-Sheng Zhan
National Kaohsiung University of Science and Technology, Taiwan
Tung-Sheng Zhan received his B.S. degree in Electrical Engineering from the National Yunlin University of Science and Technology in 1997, and his M.S. and Ph.D. degrees in Electrical Engineering from National Sun Yat-Sen University in 1999 and 2006, respectively. He is currently an Associate Professor in the Department of Electrical Engineering at the National Kaohsiung University of Science and Technology, Kaohsiung, Taiwan. He has published approximately 50 conference papers and 28 journal papers indexed in the Science Citation Index (SCI). Prof. Zhan has participated in more than 40 research projects related to science, education, and technology, in collaboration with industry and government agencies. His current research interests include power system analysis, planning, and optimization; automatic control systems; artificial intelligence applications in power systems and microgrids; and renewable energy.