Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System
2024
会议录名称2024 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS, CONTROL, AND COMPUTING TECHNOLOGIES FOR SMART GRIDS, SMARTGRIDCOMM 2024
ISSN2373-6836
页码245-251
发表状态已发表
DOI10.1109/SmartGridComm60555.2024.10738072
摘要With the growing popularity of electric vehicles (EVs), maintaining power grid stability has become a significant challenge. To address this issue, EV scheduling control strategies have been developed to manage vehicle-to-grid (V2G) in coordination with the optimal power flow. In existing studies, such coordination optimization is formulated as a mixed-integer nonlinear programming (MINP), which is computationally challenging due to the binary EV charging and discharging variables. To address this challenge, we develop an efficient two-stage optimization method for this mixed-integer nonlinear coordination problem. This method first employs an efficient technique called the difference of convex (DC) to relax the integrality and reformulate MINP into a series of path-following continuous programming. Although the DC approach shows promising efficiency for solving MINP, it cannot guarantee the feasibility of the solutions. Consequently, we propose a trust region optimization method in stage two that constructs a trust region around DC's solution and then searches for the best feasible solution within this region. Our simulation results demonstrate that, compared to the open-source optimization solver SCIP, our proposed method significantly enhances computational efficiency while achieving near optimality. © 2024 IEEE.
关键词Integer linear programming Nonlinear programming Vehicle-to-grid Difference of convex Grid scheduling Mixed-integer nonlinear programming Mixed-Integer Programming Optimal power flows Optimisations Trust region Trust region optimization Vehicle to grids Vehicle-to-grid scheduling
会议名称2024 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids, SmartGridComm 2024
会议地点Oslo, Norway
会议日期September 17, 2024 - September 20, 2024
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收录类别EI
语种英语
出版者Institute of Electrical and Electronics Engineers Inc.
EI入藏号20245017499818
EI主题词Mixed-integer linear programming
EI分类号1106.1 ; 1201.7 ; 706.1 Electric Power Systems
原始文献类型Conference article (CA)
来源库IEEE
文献类型会议论文
条目标识符https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/461528
专题信息科学与技术学院
信息科学与技术学院_硕士生
信息科学与技术学院_博士生
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
ShanghaiTech University, School of Information Science and Technology, China
第一作者单位信息科学与技术学院
通讯作者单位信息科学与技术学院
第一作者的第一单位信息科学与技术学院
推荐引用方式
GB/T 7714
Tian, Pengchao,Yan, Siqi,Pan, Bikang,et al. Two-Stage Optimization for Efficient V2G Coordination in Distribution Power System[C]:Institute of Electrical and Electronics Engineers Inc.,2024:245-251.
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