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.

中文翻译：

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考虑电力和室外温度不确定性的集成能源系统的自适应鲁棒调度

集成能源系统（IES）在能源效率和可再生能源消耗方面的卓越性能在工程应用中具有广阔的前景。在IES中，热舒适性同时受制热功率，建筑物参数和室外温度的影响。因此，室外温度的不确定性将对热舒适性产生一些不利影响，这需要在IES的调度决策中加以考虑。在本文中，我们提出了一种用于IES的超前自适应鲁棒调度模型（ARDM），以在净电力负荷和室外温度不确定的情况下制定调度计划，目的是确保IES和机组的安全运行。最终用户的热舒适性。利用区域供热网络和建筑物的热力学特性来提供操作灵活性并提高经济效益。为了降低调度结果的保守性，引入了多时间间隔不确定性集合来对不确定性进行建模。ARDM模型是具有线性追索问题的两阶段鲁棒优化，并使用列和约束生成方法对其进行求解。研究了两种不同规模的案例，以验证该方法的有效性和优势。并使用列和约束生成方法对其进行求解。研究了两种不同规模的案例，以验证该方法的有效性和优势。并使用列和约束生成方法对其进行求解。研究了两种不同规模的案例，以验证该方法的有效性和优势。