考虑温控负荷需求响应的电热联合系统多阶段鲁棒调度方法

在发展新型电力系统的背景下，间歇性新能源占比不断增加，对电热联合系统的灵活性提出更高要求。提出了一种考虑温控负荷需求响应的电热联合系统多阶段鲁棒调度方法。首先建立考虑电热转换设备、温控负荷等多种灵活性资源的电热联合系统模型，并提出虚拟储能的概念对温控负荷进行建模。然后，将风电出力预测误差建模为盒式不确定集，以燃料成本、弃风惩罚、需求侧补偿综合成本最低为目标函数，提出了电热联合系统的多阶段鲁棒调度模型，在每一调度时段，均可根据风电的观测值，以最小化当前及后续时刻的总成本最大值为目标，调整后续调度计划，并通过鲁棒对偶动态规划算法求解该模型。最后，通过算例验证了所提方法的有效性。

Multi-stage robust dispatch of integrated electric and heating system considering demand response of thermostatically controlled load

In the context of the development of new power systems, the continuous increase in the proportion of intermittent new energy sources puts forward higher requirements for the flexibility of the combined electric heating system. A multi-stage robust dispatch method for electric and heating combined systems that takes into account temperature control load demand response is proposed. Firstly, a model of electric- heat combined system that considers flexible resources such as electric-heat conversion equipment and temperature control load is established, and the concept of virtual energy storage is proposed to model the temperature control load. Then, the wind power output forecast error is modeled as a box uncertainty set, and a multi-stage robust scheduling model of the combined electric and heating system is proposed. In each scheduling period, the observation value of wind power can be used to minimize the total current and subsequent moments. The maximum cost is the goal, the subsequent scheduling plan is adjusted, and the model is solved by a robust dual dynamic programming algorithm. Finally, test cases are used to verify the effectiveness of the proposed method.