Distributionally Robust Optimization for Vehicle-to-grid with Uncertain Renewable Energy

doi:10.1109/ICCAIS56082.2022.9990376

KMS > 数学科学研究所

	Distributionally Robust Optimization for Vehicle-to-grid with Uncertain Renewable Energy
	Li, Qi1 ; Tian, Pengchao2 ; Shi, Ye2 ; Shi, Yuanming2 ; Tuan, Hoang Duong 3
	2022
会议录名称	2022 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND INFORMATION SCIENCES, ICCAIS 2022
ISSN	2475-7896
页码	462-467
发表状态	已发表
DOI	10.1109/ICCAIS56082.2022.9990376
摘要	Recent years have seen the wide applications of renewable energy sources and plug-in electric vehicles in smart grids. However, their inherent uncertainties may lead to serious voltage deviations, load fluctuations and power losses. In this paper, we formulate a distributionally robust optimization (DRO) for vehicle-to-grid considering the uncertainties of solar power and PEVs. We utilize conditional value at risk to quantify the risk of violating inequalities containing uncertainties and the Wasserstein metric to reformulate the DRO problem into a tractable convex optimization problem. The DRO is implemented under a model predictive control framework to further reduce the uncertainties of PEVs and RESs. Numerical experiment results validate the efficiency of our method. © 2022 IEEE.
关键词	Convex optimization Electric loads Natural resources Numerical methods Piecewise linear techniques Plug-in electric vehicles Solar energy Value engineering Vehicle-to-grid Distributionally robust optimization Load power Renewable energies Renewable energy source Robust optimization Smart grid Uncertainty Vehicle to grids Voltage deviations Wasserstein metric
会议名称	11th International Conference on Control, Automation and Information Sciences, ICCAIS 2022
出版地	345 E 47TH ST, NEW YORK, NY 10017 USA
会议地点	Hanoi, Viet nam
会议日期	November 21, 2022 - November 24, 2022
URL	查看原文
收录类别	EI ; CPCI-S
语种	英语
资助项目	Shanghai Sailing Program[22YF1428800]
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Information Systems
WOS记录号	WOS:000932230100075
出版者	Institute of Electrical and Electronics Engineers Inc.
EI入藏号	20230413419811
EI主题词	Model predictive control
EI分类号	657.1 Solar Energy and Phenomena ; 702.1.2 Secondary Batteries ; 706.1 Electric Power Systems ; 911.5 Value Engineering ; 921.4 Combinatorial Mathematics, Includes Graph Theory, Set Theory ; 921.6 Numerical Methods
原始文献类型	Conference article (CA)
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/282064
专题	数学科学研究所信息科学与技术学院_PI研究组_石远明组信息科学与技术学院_硕士生信息科学与技术学院_PI研究组_石野组
通讯作者	Shi, Ye
作者单位	1.ShanghaiTech Univ, Inst Math Sci, Shanghai, Peoples R China 2.ShanghaiTech Univ, Sch Informat & Sci Technol, Shanghai, Peoples R China 3.Univ Technol, Fac Engn & Informat Technol, Sydney, NSW, Australia
第一作者单位	数学科学研究所
通讯作者单位	上海科技大学
第一作者的第一单位	数学科学研究所
推荐引用方式 GB/T 7714	Li, Qi,Tian, Pengchao,Shi, Ye,et al. Distributionally Robust Optimization for Vehicle-to-grid with Uncertain Renewable Energy[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:Institute of Electrical and Electronics Engineers Inc.,2022:462-467.