Reliability and Resilience Oriented Energy System Optimization
The functioning of modern society largely depends on continuous power supply. Electric power system interruptions can be disastrous, affecting hundreds of millions of people with inestimable costs. Therefore, there have been increasing interests in the development and implementation advanced optimization methods to determine electric power systems or micro-grid expansion plans, generation scheduling, renewable energy integration and system maintenance policies with respect to resilience and reliability. Unlikely extreme events, climate change, carbon emissions, health externalities and dynamic natures of power systems are often taken into account in the research and applications. This session will focus on (but not limited to) the following application areas: Power generation, transmission & distribution; micro-grids; Renewable assemblies for commercial structures.
Jian Zhou received the B.E. degree in Automation from Beijing University of Chemical Technology in 2011, and the M.E. degree in Industrial Engineering at Beihang University in 2014. He received the Ph.D. degree majoring in Industrial Engineering from the Rutgers, the State University of New Jersey, US in2020. He is currently an assistant professor in the School of Economics and Management, Nanjing University of Science and Technology, Nanjing, China. His research interests include system resilience optimization, cascading failure modeling, reliability modeling, energy system planning, deep learning based quality evaluation and prognostic. (Mail: firstname.lastname@example.org)
If you are interested in the special session, please submit
your paper or abstract here
For any questions, please mail the organizer or conference secretary email@example.com.
© SRSE 2019-2021 | Harbin, China | Email: firstname.lastname@example.org