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An incentive-based integrated demand response model considering value-action gap

Zheng, Shunlin, Mo, Xinpeng, He, Ruiyang ORCID: https://orcid.org/0000-0002-9643-9485, Liu, Xinya, Qi, Qi, Sun, Yi, Chen, Yanbo and Zhou, Yue 2026. An incentive-based integrated demand response model considering value-action gap. Presented at: 2026 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), Kunming, China, 11-14 July 2026. 2026 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia). IEEE, pp. 2040-2049. 10.1109/icpsasia70813.2026.11692127

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Abstract

Integrated Demand Response (IDR) is an effective means of achieving supply-demand balance of energy systems. However, value-action gap, a phenomenon where users act in a way that is inconsistent with their maximal utility, presents significant challenges for integrated energy service providers (IESPs) in accurately predicting user response behavior. To address the value-action gap, this paper proposes an improved user model that incorporates both external and internal factors contributing to the gap and presents a nonlinear parameter estimation algorithm to estimate the unobservable parameters that characterize it. Specifically, to model value-action gap, a subjective utility function capturing anchoring effect and a ratcheting coefficient representing ratchet effect are proposed and embedded into the classical user model. Besides, to address the unobservability of user parameters capturing value-action gap, a higher-order gradient-based nonlinear parameter estimation method is proposed. Simulation results show that the proposed model can not only reduce the power imbalance in energy systems and IESP costs, but also increase users' utilities.

Item Type: Conference or Workshop Item - published (Paper)
Date Type: Publication
Status: Published
Schools: Schools > Engineering
Publisher: IEEE
ISBN: 979-8-3195-1952-8
Last Modified: 28 Sep 2026 11:01
URI: https://orca.cardiff.ac.uk/id/eprint/189826

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