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Aggregation of Distributed Energy Resources Under the Concept of Multienergy Players in Local Energy Systems

机译:地方能源系统中多能源参与者概念下的分布式能源聚集

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In recent years, in addition to the traditional aspects concerning efficiency and profitability, the energy sector is facing new challenges given by environmental issues, security of supply, and the increasing role of the local demand. Therefore, the researchers have developed new decision-making frameworks enabling higher local integration of distributed energy resources (DER). In this context, new energy players appeared in the retail markets, increasing the level of competition on the demand side. In this paper, a multienergy player (MEP) is defined, which behaves as a DER aggregator between the wholesale energy market and a number of local energy systems (LES). TheMEP and the LES have to find a long-term equilibrium in the multienergy retail market, in which they are interrelated through the price signals. To achieve this goal, in this paper the decision-making conflict between the market players is represented through a bilevel model, in which the decision variables of the MEP at the upper level are parameters for the decision-making problem at the lower level (for the individual LES). The problem is transformed into a mathematical program with equilibrium constraints by implementing duality theory, which is solved with the CPLEX 12 solver. The numerical results show the different MEP behavior in various conditions that impact on the total flexibility of the energy system.
机译:近年来,除了涉及效率和获利能力的传统方面之外,能源部门还面临着环境问题,供应安全以及本地需求日益重要等新挑战。因此,研究人员开发了新的决策框架,从而可以实现更高层次的分布式能源资源(DER)的本地整合。在这种情况下,新能源参与者出现在零售市场中,从而增加了需求方面的竞争水平。在本文中,定义了一个多能源参与者(MEP),它充当批发能源市场和许多本地能源系统(LES)之间的DER聚合器。 MEP和LES必须在多能源零售市场中找到长期均衡,在其中它们通过价格信号相互关联。为了实现这一目标,本文通过双层模型来表示市场参与者之间的决策冲突,其中上层MEP的决策变量是下层决策问题的参数(对于个别LES)。通过实施对偶理论,可以将问题转换为具有平衡约束的数学程序,该对偶理论可以使用CPLEX 12解算器解决。数值结果表明,在各种条件下,不同的MEP行为都会影响能源系统的总体灵活性。

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