上海交通大学学报 ›› 2024, Vol. 58 ›› Issue (12): 1892-1902.doi: 10.16183/j.cnki.jsjtu.2023.099

• 新型电力系统与综合能源 • 上一篇    下一篇

基于非侵入式负荷分解的空调集群AGC调频备用容量评估方法

聂世豪1, 陈磊1(), 郝玲1, 徐飞1, 闵勇1, 窦真兰2, 张春雁2, 孙沛3   

  1. 1.清华大学 电机工程与应用电子技术系,北京 100084
    2.国网上海市电力公司,上海 200223
    3.国网上海市电力公司电力科学研究院,上海 200437
  • 收稿日期:2023-03-20 修回日期:2023-08-01 接受日期:2023-08-07 出版日期:2024-12-28 发布日期:2025-01-06
  • 通讯作者: 陈 磊,副研究员; E-mail: chenlei08@tsinghua.edu.cn.
  • 作者简介:聂世豪(1999—),硕士生,主要研究方向为负荷参与调频的策略与聚合模型.
  • 基金资助:
    国家电网有限公司科技项目(52094021N017)

An AGC Frequency Control Reserve Capacity Evaluation Method for Air Conditioner Groups Based on Nonintrusive Load Disaggregation

NIE Shihao1, CHEN Lei1(), HAO Ling1, XU Fei1, MIN Yong1, DOU Zhenlan2, ZHANG Chunyan2, SUN Pei3   

  1. 1. Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
    2. State Grid Shanghai Municipal Electric Power Company, Shanghai 200223, China
    3. State Grid Shanghai Electric Power Research Institute, Shanghai 200437, China
  • Received:2023-03-20 Revised:2023-08-01 Accepted:2023-08-07 Online:2024-12-28 Published:2025-01-06

摘要:

用户侧海量空调负荷资源具有参与系统频率控制的巨大潜能,可将海量分散的单体空调聚合为空调集群参与系统自动发电控制(AGC)调节,但单体空调的运行状态具有随机性.为准确评估集群的调频备用容量,提出一种数据驱动的非侵入式负荷分解方法来评估空调集群的AGC调频备用容量.该方法构建了序列到序列模型,以非侵入的形式来预测单体空调调频备用容量;考虑到空调参与AGC可能会影响用户舒适度,评估了单体空调参与AGC调频的可用性,并构建判定单体空调是否纳入空调集群调频备用的选择机制.该方法将台区子站内可参与AGC的单体空调聚合得到台区子站的空调集群调频备用,将所有台区子站的空调集群调频备用聚合得到全体空调集群调频备用.模拟在不同程度系统频率跌落情况下,空调集群与火电机组协同进行AGC调频,仿真结果证实方法的有效性.

关键词: 自动发电控制调频, 空调集群, 负荷预测, 非侵入式负荷分解

Abstract:

Massive air-conditioner resources on the consumer side have a huge potential to be involved in system frequency control, and massive scattered individual air-conditioners can be aggregated into air-conditioner groups to participate in system automatic generation control (AGC). As the operating status of individual air-conditioners is random, it is necessary to accurately evaluate the frequency control reserve capacity of air-conditioner groups. In this paper, a data-driven nonintrusive load disaggregation (NILD) method is proposed to incorporate massive air-conditioner groups into AGC frequency control reserve. First, the proposed method constructs a sequence-to-sequence model to nonintrusively forecast the frequency control reserve capacity of individual air-conditioners. Considering the fact that the participation of air-conditioners in AGC may affect the comfort of users, the feasibility of individual air-conditioners is evaluated to participate in AGC frequency control and a selection mechanism is constructed to determine whether they can be included in the frequency control reserve of air-conditioner groups. In the proposed method, individual air-conditioners within a sub-station that participate in AGC are aggregated to derive the air-conditioner group frequency control reserve of the sub-station, and the air-conditioner group frequency control reserve of all sub-stations are aggregated to derive the entire air-conditioner group frequency control reserve. The experiments simulate different degrees of system frequency drops in which air-conditioner groups work cooperatively with thermal units for AGC frequency control. The simulation results demonstrate the validity of the proposed method.

Key words: automatic generation control (AGC) frequency control, air conditioner groups, load forecasting, nonintrusive load disaggregation (NILD)

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