| 引用本文: | 陈启鑫,吕睿可,郭鸿业,贾宏杰,丁一,王毅,康重庆.面向需求响应的电力用户行为建模：研究现状与应用[J].电力自动化设备,2023,43(10):23-37 |
| CHEN Qixin,Lü Ruike,GUO Hongye,JIA Hongjie,DING Yi,WANG Yi,KANG Chongqing.Electricity user behavior modeling for demand response: research status quo and applications[J].Electric Power Automation Equipment,2023,43(10):23-37 |
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| 摘要: |
| 通过建模理解电力用户行为，有助于在需求响应中有效引导用户灵活用电，从而挖掘负荷侧的灵活性。面向需求响应场景的实际需求，系统梳理电力用户行为建模的研究现状与应用。分析并总结电力用户行为建模的研究进展，包括用户行为特性描绘、用户行为解析和用户行为定量建模3个不同层次。梳理电力用户行为建模在需求响应中的主要应用方向，包括需求响应潜力评估、考虑需求响应的能源系统协同优化、负荷零售商定价和考虑需求响应的市场机制设计。讨论现有电力用户行为建模研究所面临的不完全信息条件、用户的有限理性等实际问题，并对未来的研究方向进行展望。 |
| 关键词: 电力用户行为建模 需求响应 需求侧管理 数据驱动 机理分析 |
| DOI：10.16081/j.epae.202308026 |
| 分类号:TM743 |
| 基金项目:国家自然科学基金青年基金资助项目(52107102)；国家自然科学基金联合重点基金资助项目(U2066205) |
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| Electricity user behavior modeling for demand response: research status quo and applications |
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CHEN Qixin1, Lü Ruike1, GUO Hongye1, JIA Hongjie2, DING Yi3, WANG Yi4, KANG Chongqing1
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1.State Key Laboratory of Power System Operation and Control, Department of Electrical Engineering, Tsinghua University, Beijing 100084, China;2.Key Laboratory of Smart Grid of Ministry of Education, Tianjin University, Tianjin 300072, China;3.College of Electrical Engineering, Zhejiang University, Hangzhou 310027, China;4.Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong 999077, China
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| Abstract: |
| Understanding electricity user behavior through modeling helps effectively guide user electricity consumption in demand response, thereby exploiting the flexibility of demand side. For the practical needs of demand response applications, the research status quo and applications of electricity user behavior modeling are systematically reviewed. The research progress of electricity user behavior modeling is analyzed and summarized, including three different levels of the depiction of use behavior characteristics, the analysis of use behavior, and the quantitative modeling of user behavior. The main application directions of electricity user behavior modeling in demand response are outlined, including demand response potential assessment, coordinated optimization of energy system considering demand response, load aggregator pricing, and market mechanism design considering demand response. The practical issues faced by the existing research on electricity user behavior modeling are discussed, such as incomplete information and user irrationality, and the future research directions are looked forward to. |
| Key words: electricity user behavior modeling demand response demand side management data-driven mechanism analysis |
