耦合聚类基线及舒适度的居民负荷需求响应评估方法

An Evaluation Method of Residents’Load Demand Response Based on Coupling Clustering Baseline and Comfort Degree

空调负荷虽然是参与需求响应的主力,但由于其所具有的高度分散特性导致需求响应能力很难被发现。建立了空调负荷的TCLs近似聚合功率模型;提出了基于温度设定值调整的TCLs负荷控制方法,结合用户舒适度的影响,分析调节特性,并通过考虑温度特征聚类的改进匹配日基线算法,对TCLs响应潜力进行评估。通过陕西某小区的实际数据来仿真不同温度调整量、不同典型日时间尺度下该小区的响应潜力,验证了所提模型和潜力评估方法的有效性。

Although air conditioning load is the main force participating in demand response,it is difficult to find the demand response capability due to its highly decentralized characteristics.To solve this problem,the TCLs approximate aggregate power model of air conditioning load is established.Based on this model,a TCLs load control method based on temperature setting value adjustment is proposed.Combined with the influence of users’comfort,the adjustment characteristics are analyzed,and the response potential of TCLs is evaluated by considering the improved matching daily baseline algorithm of the temperature feature clustering.Based on the actual data of a residential area in Shaanxi,the response potential of the residential area under different typical daily time scales and different temperature adjustments is simulated,and the simulation has verified the effectiveness of the model and potential evaluation method proposed in this paper.