Multiple Time Interval Optimal Scheduling Strategy and Response Incentive Design of Air Conditioning Load Aggregator Considering Frequency Security of Power Grid

ZHU Lan; CAI Wujun; SONG Yifan; ZHANG Wenbo

doi:10.13335/j.1000-3673.pst.2024.1458

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Multiple Time Interval Optimal Scheduling Strategy and Response Incentive Design of Air Conditioning Load Aggregator Considering Frequency Security of Power Grid

更新时间：2026-03-13

- Multiple Time Interval Optimal Scheduling Strategy and Response Incentive Design of Air Conditioning Load Aggregator Considering Frequency Security of Power Grid
- Vol. 50, Issue 2, Pages: 600-609(2026)
- 作者机构：
  
  上海电力大学电气工程学院，上海市杨浦区,200090
- 作者简介：
- 基金信息：
- DOI：10.13335/j.1000-3673.pst.2024.1458
  CLC： TM73
- Published：2026
- 稿件说明：
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ZHU Lan, CAI Wujun, SONG Yifan, et al. Multiple Time Interval Optimal Scheduling Strategy and Response Incentive Design of Air Conditioning Load Aggregator Considering Frequency Security of Power Grid[J]. 2026, 50(2): 600-609.
DOI：

ZHU Lan, CAI Wujun, SONG Yifan, et al. Multiple Time Interval Optimal Scheduling Strategy and Response Incentive Design of Air Conditioning Load Aggregator Considering Frequency Security of Power Grid[J]. 2026, 50(2): 600-609. DOI： 10.13335/j.1000-3673.pst.2024.1458.

摘要

电网发生大扰动时，频率变化各阶段对功率需求紧迫性不同，以支撑电网频率安全为背景，建立空调负荷聚合商多时段调度决策模型，对有限的空调负荷可控功率优化分配。首先，综合考虑用户响应意愿、用户响应温度范围以及用户响应行为不确定性，设计多样化用户激励补偿模型以及奖惩机制；其次，提出考虑用户退出响应的风险评估模型，对用户各响应时段退出风险进行评估，基于条件风险价值理论建立考虑电网频率安全计及用户退出风险的空调负荷聚合商多时段调度决策模型；最后，基于算例验证了所提模型的有效性。

Abstract

Following a significant disturbance in the power grid

the urgency of power demand varies across different stages of frequency change. To ensure frequency security of the power grid

a multiple time interval scheduling decision model for the air conditioning load aggregator is established to optimize the allocation of limited controllable power for air conditioning loads. Firstly

this paper comprehensively considers users’ willingness to respond

the temperature range of user acceptability

and the uncertainty of user behaviors to design a diversified incentive compensation model and a reward-penalty mechanism. Secondly

a risk assessment model that considers the risk of user withdrawal from response is proposed to assess the risk of users withdrawing during each response period. Based on the conditional value at risk theory

a multiple time interval scheduling decision model for air conditioning load aggregators that consider frequency security of the power grid and the risk of user withdrawal is established. Finally

the effectiveness of the proposed model is validated through calculation examples.

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