2019 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION
Special Session on Evolutionary Computation for Multiple Energy Systems Integration
By bringing together multiple energy systems, including electricity, thermal sources and fuels, and other critical infrastructures, such as transportation, water and communication, we can improve their efficiency, reliability and resiliency. Currently, most energy systems and critical infrastructures are operated independently. Multiple energy systems integration (MESI) focus on the coordination and optimization of those energy systems and critical infrastructures in the operation and planning stages. Various operating conditions, include normal operations, typical interruptions and extreme events, are considered to maximize the value of each unit of energy we use and enhance the ability of those systems and infrastructures to withstand and recover from typical and catastrophic disturbances. Most optimization problems we encounter in MESI could be nonconvex, and contain large number of integer variables which cannot be solved efficiently using existing mathematic programming methods. This special session aims to promote the research on evolutionary computation methods for their application to MESI.
- Optimal operation of integrated electric, thermal and natural-gas systems
- Coordinated operation of electric power grid and transportation systems
- Optimal operation of cyber-physical systems
- Coordinated planning of multiple energy systems
- Economic dispatch and optimal energy flow for multiple energy systems
- Energy management of multiple energy systems
- Optimal emergency resources dispatch considering infrastructure interdependency
- Service restoration strategies for multiple energy systems and critical infrastructures
- Emergency operation for multiple energy systems under extreme conditions
- Reliability and resiliency enhancement
- Paper submission: 7 January, 2019
- Decision notification: 7 March, 2019
- Camera ready paper due: 31 March, 2019
Link to the Conference:
Short Bio of Organizers:
- Jinghan He received the M.Sc. degree in automation from Tianjin University, Tianjin, China, in 1994 and the Ph.D. degree in electrical engineering from Beijing Jiaotong University, Beijing, China, in 2007. She is currently a Professor and serves as the Head of Council in the School of Electrical Engineering, Beijing Jiaotong University, Beijing, China. Her research interests include optimal operation, protection and control of power systems.
The research team led by Professor He has participated in 11 national key research and development (R&D) programs of China in the field of smart grid and rail transit. In the past five years, Professor He has hosted and participated in about 50 projects, including 15 provincial/ ministerial level projects.
Professor He has organized and developed an IEEE international technical standard, i.e., IEEE Std 1894-2015, and participated in the development of two IEEE standards, i.e., IEEE Std 1893-2015 and IEEE Std 2030.3-2016. She won the IEEE working group chairman award, the second prizes of the national power grid science and technology progress award, and the Jibei power grid science and technology progress award.
Professor He has directed 68 Ph.D. and master students. In addition, she has organized two national-level scientific research platforms, i.e., the "National Energy and Active Distribution Network Technology R&D Center" and "Big Data Analysis and Processing Base 111 for Active Distribution Network".
- Yin Xu received his B.E. and Ph.D. degrees in electrical engineering from Tsinghua University, Beijing, China, in 2008 and 2013, respectively. During 2013-2016, he was an Assistant Research Professor at the School of Electrical Engineering and Computer Science, Washington State University, Pullman, WA, United States. He is currently a Professor at Beijing Jiaotong University, Beijing, China. His research interests include distribution system service restoration and resilience, stability analysis and optimal operation of power systems.
Dr. Xu published more than 50 research papers. He was awarded the silver medal of the 46th international exhibition of inventions of Geneva and the second prize of the Beijing education and teaching achievement award (higher education). He was invited to serve as the lead guest editor of a special issue for the journal IET Smart Grid and was selected as a best reviewer for the journal IEEE Transactions on Smart Grid.
Dr. Xu is currently serving as Secretary of the Distribution Test Feeder Working Group under the IEEE PES Distribution System Analysis Subcommittee.
- Ying Chen has been appointed associate Professor of Electrical Engineering Department of Tsinghua University since 2010. He holds Bachelor's degrees of both Electrical Power Engineering in 2001, and a Ph.D in Electrical Power Engineering from Tsinghua University in 2006. His research interests include real-time simulation, electromagnetic transient simulation, power system, cyber-physical system modeling, cyber-physical system vulnerability assessment, cyber security, and cyber-physical system risk assessment. He has published more than 130 peer-reviewed papers, including 30 papers on international journals.