Wednesday, September 18, 2019 - 4:00pm to 4:30pm
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LIDS & Stats Tea
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Combined heat and power dispatch are utilized for coordinated scheduling of electric power systems and district heating systems via interactions through combined heat and power plants and heat pumps. Nonlinear heating flow models generally make the problem hard to solve. Existing algorithms only guarantee a local optima with a heavy computational burden. We propose a convex relaxation of the combined heat and power dispatch model to efficiently derive the scheduling strategies. A near globally optimal solution can be found to reduce considerable operational costs with affordable computing time. We test our algorithm in an integrated energy system composed of a 30-bus power distribution system and a 33-node district heating network.
Yibao Jiang received the B.Eng. degree in Electrical Engineering from Zhejiang University, Hangzhou, China, in 2015, where he is currently working toward the Ph.D. degree. His advisor is Prof. Yonghua Song. He is now a visiting Ph.D. student in the Laboratory for Information and Decision Systems at Massachusetts Institute of Technology working with Dr. Audun Botterud. His research focuses on the optimization of power distribution systems and multi-energy systems.