电力需求侧管理2025，Vol.27Issue(4)：42-48,7.DOI:10.3969/j.issn.1009-1831.2025.04.007
基于消费者心理学模型与自适应图注意力网络的负荷集群时变需求响应潜力评估
Evaluation of time-varying demand response potential of load clusters based on consumer psychology model and adaptive graph attention network
摘要
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 re-sponse of load cluster.Finally,based on the temporal and spatial characteristics of the cluster and historical response data,the determinis-tic and uncertain time-varying parameters of the model are estimated respectively,and the time-varying demand response potential of the load cluster is evaluated.关键词
负荷集群/机理-数据混合驱动/需求响应潜力/消费者心理学模型/自适应图注意力网络Key words
load cluster/mechanism-data hybrid driven/demand response potential/consumer psychological model/adaptive graph atten-tion network分类
信息技术与安全科学引用本文复制引用
陈浩,李晨阳,陈光,何炎,王祎南,武思远..基于消费者心理学模型与自适应图注意力网络的负荷集群时变需求响应潜力评估[J].电力需求侧管理,2025,27(4):42-48,7.基金项目
国家自然科学基金(71934007) （71934007）
