Evaluation of time-varying demand response potential of load clusters based on consumer psychology model and adaptive graph attention network

陈 浩; 李晨阳; 陈 光; 何 炎; 王祎南; 武思远

doi:10.3969/j.issn.1009-1831.2025.04.007

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Evaluation of time-varying demand response potential of load clusters based on consumer psychology model and adaptive graph attention network

更新时间：2026-03-05

- Evaluation of time-varying demand response potential of load clusters based on consumer psychology model and adaptive graph attention network
- Vol. 27, Issue 4, (2025)
- 作者机构：
  
  1. 国网（苏州）城市能源研究院,江苏,苏州,215000
  2. 国网江苏省电力有限公司,南京,211100
  3. 河海大学电气与动力学院,南京,211100
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.1009-1831.2025.04.007
  CLC：
- Published：2025
- 稿件说明：
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陈浩, 李晨阳, 陈光, et al. Evaluation of time-varying demand response potential of load clusters based on consumer psychology model and adaptive graph attention network[J]. 2025, 27(4).
DOI：

陈浩, 李晨阳, 陈光, et al. Evaluation of time-varying demand response potential of load clusters based on consumer psychology model and adaptive graph attention network[J]. 2025, 27(4). DOI： 10.3969/j.issn.1009-1831.2025.04.007.

摘要

柔性可调负荷集群的需求响应潜力

具有一定的随机性和时空交互变化特性。为此

提出一种基于消费者心理学模型和自适应图注意力网络的负荷集群时变需求响应潜力评估方法。首先

建立计及响应随机性的消费者心理学需求响应模型；然后

根据负荷集群内试点用户的用电特征及其模型参数

利用参数迁移和自适应图注意力网络提取负荷集群需求响应的时空变化特征；最后

基于集群的时空特征和历史响应数据分别估计模型的确定性和不确定性时变参数

实现负荷集群的时变需求响应潜力评估

并通过实例分析验证了方法的有效性。

Abstract

The demand response potential of flexible adjustable load cluster has certain characteristics of randomness and spatio-temporal interaction. Therefore

a time-varying demand response potential evaluation method of load cluster based on consumer psychology model and adaptive graph attention network is proposed. Firstly

a demand response model of consumer psychology is established taking account of the randomness of response. Then

according to the power consumption characteristics and model parameters of pilot users in the load cluster

parameter migration and adaptive graph attention network are used to extract the spatio-temporal characteristics of demand response of load cluster. Finally

based on the temporal and spatial characteristics of the cluster and historical response data

the deterministic and uncertain time-varying parameters of the model are estimated respectively

and the time-varying demand response potential of the load cluster is evaluated.

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