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Transactive Control of Electric Railways Using Dynamic Market Mechanisms

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Document pages: 13 pages

Abstract: Electricity demand of electric railways is a relatively unexplored source offlexibility in demand response applications in power systems. In this paper, wepropose a transactive control based optimization framework for coordinating thepower grid network and the train network. This is accomplished by coordinatingdispatchable distributed energy resources and demand profiles of trains using atwo-step optimization. A railway based dynamic market mechanism (rDMM) isproposed for the dispatch of distributed energy resources (DER) in the powernetwork along the electric railway using an iterative negotiation process, andgenerates profiles of electricity prices, and constitutes the first step. Thetrain dispatch attempts minimize the operational costs of trains that ply alongthe railway, while subject to constraints on their acceleration profiles, routeschedules, and the train dynamics, and generates demand profiles of trains andconstitutes the second step. The rDMM seeks to optimize the operational costsof the underlying DERs while ensuring power balance. Together, they form anoverall framework that yields the desired transactions between the railway andpower grid infrastructures. This overall optimization approach is validatedusing simulation studies of the Southbound Amtrak service along the NortheastCorridor (NEC) in the United States, which shows a 25 reduction in energycosts when compared to standard trip optimization based on minimum work, and a75 reduction in energy costs when compared to the train cost calculated usinga field dataset.

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