Evaluation of time-varying demand response potential of load clusters based on consumer psychology model and adaptive graph attention network
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(1. State Grid(Suzhou)Urban Energy Research Institute, Suzhou 215000, China;2. State Grid Jiangsu Electric Power Co., Ltd., Nanjing 211100, China;3. College of Energy and Electrical Engineering, Hohai University,Nanjing 211100, China)

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TM714

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    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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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].电力需求侧管理英文版,2025,27(4):42-48.

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History
  • Received:March 05,2025
  • Revised:May 11,2025
  • Adopted:
  • Online: August 10,2025
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