电力系统自动化2026，Vol.50Issue(18)：80-96,17.DOI:10.7500/AEPS20250521009
不完全信息下考虑锚定-棘轮效应的综合需求响应优化建模
Optimization Modeling of Integrated Demand Response Considering Anchoring and Ratchet Effects Under Incomplete Information
摘要
Abstract
Integrated demand response(IDR)serves as an effective means to achieve the supply-demand balance in the context of the new power system.To improve the accuracy of user response models for IDR and enable integrated energy system providers(IESPs)to formulate more economical and efficient incentive strategies,this paper incorporates the influences of users'anchoring effect and ratchet effect on their response behaviors.First,an anchoring effect matrix is established to effectively model the user anchoring effect.Then,ratchet coefficients are introduced into the conventional user response model to characterize the ratchet effect.Meanwhile,an IESP optimization model considering incomplete information is constructed.Based on the maximum likelihood theory and the Newton iteration principle,the proposed model addresses the incomplete information problem caused by the unobservability of user ratchet coefficients.The proposed model is established as a bi-level optimization problem with users and IESPs as the two decision-making subjects,which is further transformed into a single-level optimization problem for solution.Simulation results demonstrate that the proposed model can improve the benefits of users participating in IDR,cut down the operational cost of IESPs,and mitigate the power imbalance risk of the power grid.It can not only effectively characterize users'anchoring and ratchet effects but also efficiently handle the incomplete information on the user side.关键词
综合能源系统/综合需求响应/供需平衡/锚定效应/棘轮效应/不完全信息Key words
integrated energy system(IES)/integrated demand response(IDR)/supply-demand balance/anchoring effect/ratchet effect/incomplete information引用本文复制引用
莫鑫蓬,郑顺林,张旭东,刘欣雅,孙毅,孙艺超..不完全信息下考虑锚定-棘轮效应的综合需求响应优化建模[J].电力系统自动化,2026,50(18):80-96,17.基金项目
国家电网有限公司总部管理科技项目:"基于省级智慧能源服务平台的低碳园区能碳智能运行关键技术研究及应用项目"(5400-202413216A-1-1-ZN). This work is supported by State Grid Corporation of China(No.5400-202413216A-1-1-ZN). （5400-202413216A-1-1-ZN）
