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A Novel Approach for Multi-Area Power System Day-ahead Scheduling under Uncertainties

机译:不确定条件下多区域电力系统提前调度的新方法

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The uncertainties of renewable energy and load demand challenge the short-term operation of power system. Although robust unit commitment has been extensively studied, we propose a novel approach for day-ahead scheduling in multi-area power system, which is in compliance with the operation pattern of hierarchically-organized system operators such as in China. The problem is formulated as a two-stage robust optimization, in which the first-stage problem minimizes a quadratic function to decide an interval of daily generation, and the second-stage problem works out generation and transmission power profiles while guaranteeing the robust feasibility of the pre-decision with regard to any realization within the uncertainty set. Column-and-constraint generation method are adopted in the solution procedure. We carry out numeric experiment based on China Southern Grid, after which the performance of our algorithm is assessed, and the effectiveness and feasibility of the proposed approach are verified.
机译:可再生能源和负荷需求的不确定性对电力系统的短期运行提出了挑战。尽管已经对鲁棒的机组承诺进行了广泛的研究,但我们提出了一种新的方法来进行多区域电力系统的日间调度,这与中国等分层组织的系统运营商的运营模式相符。该问题被表述为两阶段鲁棒性优化,其中第一阶段问题最小化二次函数来决定每日发电的间隔,第二阶段问题计算出发电和传输功率曲线,同时保证了发电的鲁棒性。关于不确定性范围内任何实现的预先决定。在求解过程中采用了列约束生成方法。我们基于南方电网进行了数值实验,评估了算法的性能,验证了所提方法的有效性和可行性。

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