基于柔性负荷可控裕度的多时间尺度调峰优化  

Optimization of Multi-time-scale Peak Shaving Considering Controllable Margin of Flexible Load

作　　者：陈可 高山[1] 刘宇[1] CHEN Ke;GAO Shan;LIU Yu(School of Electrical Engineering,Southeast University,Nanjing 210096,China)

机构地区：[1]东南大学电气工程学院,南京市210096

出　　处：《电力建设》2021年第4期69-78,共10页Electric Power Construction

基　　金：国家自然科学基金项目(51907024)。

摘　　要：如何引导海量分散分布的负荷侧资源参与电网调控运行成为电力系统面临的新挑战,然而目前对于海量异构负荷的协同控制方法尚缺少深入研究。文章提出了一种基于柔性负荷可控裕度的异构负荷集群控制方法。首先,对空调负荷、电动汽车充电负荷、分布式储能建立广义储能的聚合模型。其次,在聚合商-负荷设备层面,针对多类型负荷的异构特性,提出了一种基于可控裕度指标的状态序列化控制策略;在调度中心-聚合商层面,建立了日前-日内的调峰优化模型。在日前阶段,考虑了常规机组的启停计划、电动汽车充电计划和空调的中断计划,建立了以日前系统运行经济性最优为目标的调度模型;在日内阶段,聚合商中的分布式储能进一步应对风电和负荷预测的不确定性。最后,进行了算例仿真,在实现了系统削峰填谷的同时降低了系统运行成本,验证了所提控制策略和调峰优化方法的可行性与有效性。How to guide the massive distributed load-side resources to participate in the regulation and operation of the power grid has become a new challenge for the power system. However, there is still a lack of in-depth research on collaborative control methods for massive heterogeneous loads. For this reason, a control method of heterogeneous load cluster considering controllable margin of flexible load is proposed. Firstly, a generalized energy storage aggregation model through air conditioning load, electric vehicle charging load, and distributed energy storage is established. Secondly, at the aggregator-load equipment level, aiming at the heterogeneous characteristics of multiple types of loads, a general state-serialization control strategy based on controllable margin indicators is proposed. At the dispatch center-aggregator level, the optimization models of day-ahead and intra-day peak-regulation are established. In the day-ahead stage, considering the start and stop plan of conventional units, electric vehicle charging plan and air-conditioning interruption plan, a scheduling model with the goal of optimal day-ahead system operation economy is established. In the intra-day stage, distributed energy storage of aggregators further copes with the uncertainty of wind power and load forecasting. Finally, a case study is used to realize the peak shaving and valley filling of the system while reducing the operating cost, which verifies the feasibility and effectiveness of the control strategy and peak shaving optimization method.

关 键 词：柔性负荷 多时间尺度 调峰 广义储能 聚合商 

分 类 号：TM73[电气工程—电力系统及自动化]