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Optimization Model and Algorithm of Unit Commitment Considering Operational Flexibility

机译:考虑运营灵活性的机组组合优化模型与算法

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To improve the operational flexibility of power system with wind power integrated, a method of unit commitment decision-making based on scenario analysis is proposed. The typical scenario set of wind power output is obtained via K-medoids clustering method, and the size of scenario set is determined according to the typicality evaluation indices. With economy and flexibility as the objective, a unit commitment model combined with multi-scenario economic dispatch is formulated. To enhance the solution efficiency, an improved Benders decomposition method with light tolerance of power flow limit violation is proposed, which reduces the dimensions of the constraint matrix. The case study illustrates the effectiveness of the proposed model and algorithm for operation optimization.
机译:为了提高集成风电的电力系统的运行灵活性,提出了一种基于情景分析的机组承诺决策方法。通过K-medoids聚类方法获得典型的风电输出情景集,并根据典型性评价指标确定情景集的大小。以经济性和灵活性为目标,建立了结合多情景经济调度的单位承诺模型。为了提高求解效率,提出了一种改进的Benders分解方法,该方法能抵抗潮流极限,从而减小了约束矩阵的维数。案例研究说明了所提出的模型和算法对运营优化的有效性。

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