SMC Seminar on Minimizing substation energy consumption in subway systems through regenerative energy utilization
Minimizing substation energy consumption in subway systems through regenerative energy utilization
Hongjie Liu, Assistant Professor
Beijing Jiaotong University
Place: ECE 202
Time: 2-3pm, ECE 202, September 25, 2018
Abstract: Energy conservation in subway systems is a hot topic in recent years. To protect environment and reduce operation cost, great efforts have been taken to minimize substation energy consumption. Note that we particularly refer to the energy consumption by train traction systems in this work, as it takes the greatest proportion of total energy in subway systems. There are two ways to reduce substation energy consumption in general, one is to reduce trains' traction energy demand, and the other one is to utilize regenerative energy sufficiently. The former one was popular in the past decades. The latter is more preferred recently. Regenerative energy is the electrical energy transformed from trains' kinetic energy in a braking phase by regenerative braking systems, which becomes widely applied in subway systems in recent years. Energy-efficient timetable and wayside energy storage systems are used to improve regenerative energy utilization, and correspondingly to reduce substation energy consumption in this work. We propose a dual-objective optimization problem to simultaneously minimize the substation energy consumption and cost of energy storage systems. An ε-constrain method is designed to transfer the dual-objective optimization problem into several single-objective optimization problems, and an improved artificial bee colony algorithm is designed to solve them. Numerical examples based on the real data from a subway system in China are adopted to show the proposed method, and a set of Pareto optimal solutions is obtained for the dual-objective optimization problem.
Bio:
Mr. Hongjie Liu is an assistant professor at Beijing Jiaotong University, and a visiting scholar at New Jersey Institute of Technology Now. He received his M.S. degree in Traffic Information Engineering and Control from Beijing Jiaotong University in 2008, and joined the same university from then on. Currently, he is also pursuing his Ph.D. degree in Beijing Jiaotong University. His current research interests include safety analysis and design, formal modeling and verification and optimization in railway train control systems.
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- 323 BLK Blvd
- Newark, New Jersey
- United States 07102-1982
- Starts 01 September 2018 07:21 PM UTC
- Ends 24 September 2018 07:21 PM UTC
- No Admission Charge
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Hongjie Liu