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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 |
ISSN | 2373-6836 |
页码 | 245-251 |
发表状态 | 已发表 |
DOI | 10.1109/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 |
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 | 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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