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Energy technology environment model with smart grid and robust nodal electricity prices

机译:智能电网能源技术环境模型及强大的节点电价

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This paper deals with the modeling of power flow in a transmission grid within the multi-sectoral multi-energy long-term regional energy model ETEM-SG. This extension of the model allows a better representation of demand response for flexible loads triggered by nodal marginal cost pricing. To keep the global model in the realm of linear programming one uses a linearized DC power flow model that represents the transmission grid with the main constraints on the power flowing through the different arcs of the electricity transmission network. Robust optimization is used to take into account the uncertainty on the capacity limits resulting from inter-regional transit. A numerical illustration is carried out for a data set corresponding roughly to the Leman Arc region.
机译:本文涉及多扇区多能源长期区域能源模型ETEM-SG中传输网格中电力流的建模。该模型的扩展允许更好地表示由节点边际成本定价触发的柔性负载的需求响应。为了将全局模型保持在线性编程的领域,使用线性化的直流电流模型,该模型表示具有电力传输网络的不同电弧的电力的主要约束的传输网格。鲁棒优化用于考虑区域内跨区域过境导致的容量限制的不确定性。对对应于Leman弧区域的数据集进行数值图。

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