何沁蔓, 刘晓峰, 王琦, 孙旺青. 计及用电满意度优先级划分的负荷聚合商调度策略研究[J]. 电网技术, 2021, 45(7): 2666-2674. DOI: 10.13335/j.1000-3673.pst.2020.0701
引用本文: 何沁蔓, 刘晓峰, 王琦, 孙旺青. 计及用电满意度优先级划分的负荷聚合商调度策略研究[J]. 电网技术, 2021, 45(7): 2666-2674. DOI: 10.13335/j.1000-3673.pst.2020.0701
HE Qinman, LIU Xiaofeng, WANG Qi, SUN Wangqing. Scheduling Strategy of Load Aggregator Considering Priority Classification of Electricity Consumption Satisfaction[J]. Power System Technology, 2021, 45(7): 2666-2674. DOI: 10.13335/j.1000-3673.pst.2020.0701
Citation: HE Qinman, LIU Xiaofeng, WANG Qi, SUN Wangqing. Scheduling Strategy of Load Aggregator Considering Priority Classification of Electricity Consumption Satisfaction[J]. Power System Technology, 2021, 45(7): 2666-2674. DOI: 10.13335/j.1000-3673.pst.2020.0701

计及用电满意度优先级划分的负荷聚合商调度策略研究

Scheduling Strategy of Load Aggregator Considering Priority Classification of Electricity Consumption Satisfaction

  • 摘要: 为实现大规模海量居民柔性负荷有序参与需求响应,可以利用负荷聚合商对居民柔性负荷进行聚合调度。为了降低负荷聚合商需求响应调度对居民用户的影响,首先,根据居民用户用能诉求对柔性负荷进行聚类;其次,构建用电满意度函数对各类柔性负荷进行调度优先级划分,并通过设置不同补偿价格来实现优先调度级别高的负荷;最后,以负荷聚合商收益最大为目标构建调度决策模型。仿真结果表明,所提方法可以有效降低电网负荷需求峰谷差,还可以降低需求响应对用户用电满意度的影响。

     

    Abstract: In order to realize the orderly participation in demand response (DR) for the large scale residential flexible loads, the load aggregators can be used to aggregate the flexible loads. In order to reduce the impacts of DR scheduling on the residential users, firstly, the flexible loads are clustered according to different energy demands of the users. Secondly, the electricity consumption satisfaction function is constructed to prioritize all kinds of loads, and the loads with higher priority levels will be scheduled by setting different compensatory prices. Finally, a scheduling decision model is constructed to maximize the profits of load aggregator. Simulation result shows that the proposed approach can effectively reduce the difference between the peak and valley load demands, meanwhile, it will reduce the influence of DR scheduling on electricity consumption satisfaction of the users.

     

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