计及用户舒适性与公平性的热泵负荷集群控制策略

Heat pump load aggregated control strategy considering comfort and fairness of customers

温控负荷作为一种需求侧典型柔性负荷,具有应用规模大、可调节性强等特点,可通过集中控制辅助实现新能源消纳。以典型温控负荷电热泵作为调控对象,提出了一种计及用户舒适性与公平性的负荷调控策略。该策略考虑温控负荷温度变化对用户舒适度的影响,以平均舒适度与最佳舒适度偏差量最小为目标,建立数学模型并利用自适应粒子群优化算法求取最佳任务分配量;同时计及热泵参与响应的公平性,在负荷集群控制环节引入控制频次约束对调控策略进行修正,以解决单个热泵控制频率过高的问题。通过仿真验证所提调控策略可减少负荷平均舒适度与最佳舒适度偏差量,并有效避免了负荷调控频次过多的现象,提升了温控负荷参与调控过程中的用户体验。

As a typical type of flexible load on the demand side, the thermostatically controlled load has the characteristics of large-scale application and strong adjustability, which can contribute to the accommodation of renewable energy sources through centralized control. Taking the typical thermostatically controlled load, electric heat pump, as the control object, and a load regulation strategy that takes account of customers' comfort and fairness is proposed. The strategy considers the impacts of temperature changing about thermostatically controlled load on customers' comfort, while minimizing the deviation between average comfort and optimal comfort. The mathematical model is estab-lished and adaptive particle swarm optimization algorithm is employed to obtain an optimal task allocation. The stra-tegy also considers the fairness of the heat pump's participation in the response, and introduces the control frequency constraint in the load cluster control link to modify the control strategy, so as to solve the problem of high control frequency of single heat pump. Simulative results verify that the proposed control strategy can effectively reduce the deviation between the optimal comfort degree and the average comfort degree. At the same time, the issue of excessive load regulation frequency is avoided, which improves the customers' experience of the temperature control load participating in the regulation process.