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

机译:通过分布式电力系统合作能源交易的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质为现代电网的协调提供了挑战。对螯合化石燃料(例如,煤炭,天然气等)发电厂的愿景加速了波动源的占据,这引起了电力系统中的不稳定性。电网漏洞的减少对于可靠的网格运行变得更为重要,因为可再生能源的渗透率越来越多。为此目的,在本文中开发了一种协作游戏框架,并且通过最小化分配线上的实际功率损耗,形成传统和分布源之间的联盟,以减轻系统功率波动并增加用于操作灵活性的纺纱储备。提出了一种基于博弈论的算法,以增加可再生能源的渗透,同时保持系统生成约束,电压约束和交流电流约束。每个地区的福利值基于联盟算法用于公平地分配联盟球员之间的可转移效用。最后,IEEE-39总线测试系统的仿真结果表明,基于联盟博弈论的策略适应大量的变量风渗透,并导致对基础结果的实际功率损失降低。

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