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Adaptive Robust Dispatch of Integrated Energy System Considering Uncertainties of Electricity and Outdoor Temperature

机译:考虑电力和室外温度的不确定性,集成能量系统的自适应稳健调度

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摘要

The integrated energy system (IES) has bright prospects in engineering applications for its excellent performance in energy efficiency and renewable energy consumption. In the IES, the thermal comfort is affected by the heating power, buildings parameters, and outdoor temperatures simultaneously. Therefore, the uncertainty of the outdoor temperature will bring some adverse effects on thermal comfort, which need to be considered in the dispatch decision of the IES. In this article, we propose a day-ahead adaptive robust dispatch model (ARDM) for the IES to make a dispatch plan under the uncertainties of the net electrical-load and outdoor temperature, with the aim of guaranteeing the safe operation of IES and the thermal comfort of end-users. The thermal dynamic characteristics of the district heating network and buildings are utilized to provide operational flexibility and improve economic performance. To decrease the conservatism of dispatch results, the multi-interval uncertainty set is introduced to model the uncertainties. The ARDM model is a two-stage robust optimization with a linear recourse problem, and the column-and-constraint generation method is used to solve it. Two cases of different scale are studied to verify the effectiveness and advantages of the proposed method.
机译:综合能源系统(IES)在工程应用中具有明亮的前景,可实现其能效和可再生能源消耗的优异性能。在IES中,热舒适度受加热功率,建筑物参数和户外温度的影响。因此,室外温度的不确定性将为热舒适性带来一些不利影响,这需要考虑在IES的调度决定中。在本文中,我们提出了一天的自适应稳健调度模型(ARDM),以便在净充电和户外温度的不确定性下进行调度计划,其目的是保证IES的安全运行热舒适性最终用户。地区供热网络和建筑物的热动力动力学特性利用来提供操作灵活性,提高经济性能。为了减少调度结果的保守主义,引入了多间隔不确定性集以模拟不确定性。 ARDM模型是具有线性求权问题的两级鲁棒优化,并且使用列和约束生成方法来解决它。研究了两种不同规模的情况,验证了所提出的方法的有效性和优点。

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