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

机译:在局部能源系统中多元素玩家概念下分布式能源的聚集

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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,除了有关效率和盈利能力的传统方面,能源部门面临着环境问题,供应安全性的新挑战,以及当地需求的日益增长的作用。因此,研究人员开发了新的决策框架,使分布式能源(DER)的局部集成更高。在这方面,新的能源参与者出现在零售市场中,增加了需求方面的竞争水平。在本文中,定义了一个多enenergy播放器(MEP),其行为在批发能量市场和许多局部能量系统(LES)之间的DER聚合器。 Themep和Les必须在多energy零售市场中找到长期均衡,其中它们通过价格信号相互关联。为了实现这一目标,在本文中,市场参与者之间的决策冲突通过BileVel模型表示,其中上层的MEP的决策变量是下层决策问题的参数(用于个体les)。通过实现二巧的理论,将该问题转换为具有均衡约束的数学程序,该方法用CPLEX 12解算器解决。数值结果显示了影响能源系统总灵活性的各种条件下的不同MEP行为。

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