Cooperative game theory and last addition method in the allocation of firm energy rights
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2018-09-15
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© 2018 Elsevier Ltd The firm energy rights of a hydro plant is a parameter used in some electricity markets to define the maximum amount of energy that a power plant can trade through contracts. In a centralized dispatch scheme, the coordinated operation of the hydro plants generates a synergetic gain in the system firm energy, in this setting, a question that often arises is how to fairly allocate this energy among each hydro plant. This work proposes a formulation to compute the firm energy rights of hydro plants using cooperative game theory and the last addition allocation method. The main goal is to integrate the interests of hydro agents with the needs of the regulatory agencies, searching in the core of the game for solutions that give the right incentives to the optimal system development. In order to make simulations of real instances possible, it is proposed a reformulation of the traditional mixed integer linear programming model that computes the core constraints, which induces a significant speed-up of the algorithm solution time. It is shown an application of the proposed methodology to a real instance representing the Brazilian electric power system.
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Faria, VAD, AR de Queiroz, LMM Lima and JWM Lima (2018). Cooperative game theory and last addition method in the allocation of firm energy rights. Applied Energy, 226. pp. 905–915. 10.1016/j.apenergy.2018.06.065 Retrieved from https://hdl.handle.net/10161/18147.
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Luana Marangon Lima
Dr. Luana Marangon Lima is an assistant professor of the practice for energy and environmental analytics at Duke University’s Nicholas School of the Environment. As faculty fellow at the Nicholas Institute for Energy, Environment & Sustainability, she works with faculty, staff, and students to enhance energy education offerings at Duke University.
She received her Ph.D. in operations research and industrial engineering from the Cockrell School of Engineering at University of Texas at Austin (2011). She holds a M.Sc. (2007) and B.Sc. (2005) in electrical engineering from Universidade Federal de Itajuba (Brazil).
Prior to joining Duke, she was an assistant professor in the electrical and energy systems department at Universidade Federal de Itajuba (Brazil). She also worked as a consultant for several years at MC&E.
Her research and teaching focus on optimization methods and data analytics applications to energy systems—more specifically, renewable energy integration, electricity markets, power generation planning and scheduling, and transmission and distribution grid regulation.
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