Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems

doi:10.1109/TSTE.2024.3379162

	Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems
	Junyi Zhai 1; Yuning Jiang 2; Ming Zhou 3; Yuanming Shi4 ; Wei Chen 5; Colin N. Jones 2
	2024
发表期刊	IEEE TRANSACTIONS ON SUSTAINABLE ENERGY (IF:8.6[JCR-2023],8.6[5-Year])
ISSN	1949-3037
EISSN	1949-3037
卷号	PP 期号:99 页码:1782-1798
发表状态	已发表
DOI	10.1109/TSTE.2024.3379162
摘要	Integrating heating and electricity networks offers extra flexibility to the energy system operation while improving energy utilization efficiency. This paper proposes a data-driven joint distributionally robust chance-constrained (DRCC) operation model for multiple integrated electricity and heating systems (IEHSs). Flexible reserve resources in IEHS are exploited to mitigate the uncertainty of renewable energy. A distributed and parallel joint DRCC operation framework is developed to preserve the decision-making independence of multiple IEHSs, where the optimized CVaR approximation (OCA) approach is developed to transform the local joint DRCC model into a tractable model. An alternating minimization algorithm is presented to improve the tightness of OCA for joint chance constraints by iteratively tuning the OCA. Case studies on the IEEE 33-bus system with four IEHSs and the IEEE 141-bus system with eight IEHSs demonstrate the effectiveness of the proposed approach.
关键词	Alternating minimization algorithm data-driven distributed optimization integrated electricity and heating systems joint distributionally robust chance-constrained optimized CVaR approximation
URL	查看原文
收录类别	EI
语种	英语
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20241315817354
EI主题词	Iterative methods
EI分类号	525.1 Energy Resources and Renewable Energy Issues ; 525.2 Energy Conservation ; 525.3 Energy Utilization ; 912.2 Management ; 921.6 Numerical Methods ; 961 Systems Science
原始文献类型	Journal article (JA)
来源库	IEEE
引用统计	正在获取...
文献类型	期刊论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/354979
专题	信息科学与技术学院信息科学与技术学院_PI研究组_石远明组
作者单位	1.College of New Energy, China University of Petroleum (East China), Shandong, China 2.Automatic Control Laboratory, École Polytechnique Fédérale de Lausanne, Lausanne, Switzerland 3.State Key Laboratory for Alternate Electrical Power System with Renewable Energy Sources, North China Electric Power University, Beijing, China 4.School of Information Science and Technology, ShanghaiTech University, Shanghai, China 5.Department of Electronic Engineering and Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China
推荐引用方式 GB/T 7714	Junyi Zhai,Yuning Jiang,Ming Zhou,et al. Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems[J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY,2024,PP(99):1782-1798.
APA	Junyi Zhai,Yuning Jiang,Ming Zhou,Yuanming Shi,Wei Chen,&Colin N. Jones.(2024).Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems.IEEE TRANSACTIONS ON SUSTAINABLE ENERGY,PP(99),1782-1798.
MLA	Junyi Zhai,et al."Data-Driven Joint Distributionally Robust Chance-Constrained Operation for Multiple Integrated Electricity and Heating Systems".IEEE TRANSACTIONS ON SUSTAINABLE ENERGY PP.99(2024):1782-1798.