基于数据驱动期望场景集序列的微电网鲁棒经济调度算法
摘要：针对新能源和负荷功率的不确定性，提出基于数据驱动期望场景集序列的微电网鲁棒经济调度算法。通过聚类方法将大量历史场景数据进行聚类处理，形成聚类场景集序列，基于概率缩减为期望场景集序列。日前计划阶段，以任意场景可行作为约束条件，以期望场景所对应的微电网运行成本的概率加权指标作为目标函数，通过列约束生成算法对微电网经济调度问题进行求解。日内调度阶段，利用新能源和负荷的测量数据，基于日前计划调度结果对微电网进行再调度，通过对传统能源发电功率和电网交互功率调整进行惩罚，来追踪日前计划调度结果，优选出微电网设备最优出力，提高微电网经济性。仿真案例验证了该方法的有效性。
Abstract:In the light of the uncertainty of new energy and load power, in this paper we propose a robust economic dispatch algorithm for microgrids based on data-driven expected scenario set sequence. The clustering method is employed to cluster a substantial amount of historical scenario data, so as to form a clustered scenario set sequence. This sequence is then reduced to an expected scenario set sequence based on probability. In the day-ahead scheduling stage, the economic dispatch problem of the microgrid is solved by the column constraint generation algorithm, with the feasibility of any scenario as the constraint condition and the probability weighted index of the microgrid operating cost corresponding to the desired scenario as the objective function. In the intra-day scheduling stage, the measurement data of new energy and loads are utilized to re-dispatch the microgrid based on the results of the day-ahead scheduling. Penalizing is conducted according to adjustments of traditional energy generation power and grid interaction power, to track the day-ahead schedule scheduling results. Thereby, the optimal microgrid equipment output is obtained to improve the economy of the microgrid. The effectiveness of the method is confirmed by a simulation case.
标题：基于数据驱动期望场景集序列的微电网鲁棒经济调度算法
英文标题：Robust Economic Dispatch Algorithm for Microgrid Based on Data-driven Expected Scenario Set Sequence
作者：秦海杰, 郑鹏远, 王雅琳, 徐晓旭, 支运婷,
关键词：微电网, 数据驱动, 聚类, 期望场景, 期望场景集, 列约束生成算法, 鲁棒经济调度,
发表日期：2024-10-10
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