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Coalitional integration of wind turbines via cooperative energy trading in distributed power system

机译:通过分布式能源系统中的协同能源交易实现风力涡轮机的联盟整合

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The intermittent nature of many renewable energy resources gives the challenge to the coordination of modern electric power grids. The vision to sequestrate fossil fuel (e.g., coal, natural gas, etc.) power plants accelerates the occupation of fluctuating sources which introduces instability in power systems. The reduction of grid vulnerability is becoming more important for reliable grid operation as the increasing penetration of renewable energy. For this purpose, a cooperative game frame is developed in this paper and the coalitions among the traditional and distributed sources are formed to mitigate the system power fluctuations and to increase spinning reserve for operational flexibility by minimizing real power losses on distribution lines. A game theory based algorithm is proposed to increase the penetration of renewable energy while maintaining system generation constraints, voltage constraints, and AC power flow constraints. The Shapley value based coalition algorithm in each area is used for distributing the transferable utility among coalition players fairly. Finally, the simulation results on IEEE-39 bus test system show that the strategy based on coalition game theory accommodates substantial amount of variable wind penetration and leads to a reduction of real power losses with respect to base results.
机译:许多可再生能源的间歇性给现代电网的协调带来了挑战。隔离化石燃料(例如煤,天然气等)发电厂的愿景加速了波动源的占用,这给电力系统带来了不稳定。随着可再生能源的普及,减少电网脆弱性对于可靠的电网运行变得越来越重要。为此,本文开发了一种合作游戏框架,并在传统资源和分布式资源之间建立了联盟,以减轻系统功率波动并通过最大程度地减少配电线路上的实际功率损耗来增加旋转灵活性,以实现运营灵活性。提出了一种基于博弈论的算法,以提高可再生能源的渗透率,同时保持系统发电约束,电压约束和交流潮流约束。每个区域中基于Shapley值的联盟算法用于在联盟参与者之间公平地分配可转移效用。最后,在IEEE-39总线测试系统上的仿真结果表明,基于联盟博弈理论的策略可容纳大量的可变风渗透,并相对于基本结果减少了实际功率损耗。

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