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【工程管理论坛】新加坡管理大学林云峰教授讲座通知

来源✍️: | 发布时间➜:2025-03-27| 点击:

航凯发娱乐凯发K8“工程管理论坛”系列讲座 (2025年第4期,总第57期

讲座题目💪🏿:Integrating EV Charging and Discharging into Power Grid Through Bilateral Negotiation🍄‍🟫,和新加坡管理大学博士生项目介绍

讲座时间👩🏼‍💼:4月2日,10:00-12:00

讲座地点:新主楼A716

讲座嘉宾林云峰 教授,新加坡管理大学李光前商凯发K8


讲座嘉宾 简介

林云峰教授是新加坡管理大学(SMU)李光前商凯发K8终身教授,新加坡管理大学管理硕士(MIM)项目学术主任🤾‍♂️,于美国佐治亚理工凯发K8获工业与系统工程博士学位。现为教育部高层次人才计划入选者、MPA研究员、李光前研究员和NOL研究员;兼任UTD24期刊《Production and Operations Management》高级编辑和权威期刊《Naval Research Logistics》副主编。研究方向包括电子商务和市场分析、网络平台🦝、仓储论👨、可持续城市物流、灵活劳动力和资源管理📸;曾在多个管理科学顶级期刊上发表多篇高质量论文,如《Operations Research》、《Management Science》、《Manufacturing and Service Operations Management》和《Production and Operations Management》等林教授在新加坡管理大学讲授运营管理的本科和研究生课程🤛🏽,曾荣获大学优秀教学创新教师奖;也曾为包括阿里巴巴、马士基、麦克马斯特-卡尔公司、圣淘沙名胜世界、施耐德电气📫、淡马锡控股和Zalora在内的多家知名企业提供咨询服务。


讲座概要

To deal with demand uncertainty on a power grid, a power plant with limited ramping capability can collaborate with an electric vehicle (EV) company. With proper charging and discharging prices, the EV company voluntarily withdraws electricity from or returns electricity to the power grid in suitable phases. We model the two parties’ interactions as a bargaining game on the prices, followed by the EV company's charging and discharging problem and the power plant's electricity generation problem. To solve this bargaining game, we propose a novel “Guess and Verify” approach. Specifically, we first find an optimal solution within a restricted price set in which the two parties' total cost is minimized, and then verify its global optimality. Under an equilibrium contract, we find that the power plant can reduce its expected cost from the collaboration. This is because the EV company fully charges in a low electricity demand phase, reducing the power plant's curtailment cost, and fully discharges to the power grid in a high electricity demand phase, lowering the power plant's electricity generation cost. Based on real data, our numerical experiments suggest that the EV company's charging and discharging can substantially harmonize the power flow within the grid and save significant cost, especially when the electricity demand gap across different phases increases or the power plant's ramping capability decreases. Surprisingly, the EV company's percentage cost saving can exceed 100%, implying that it can make a profit from the collaboration. For the power plant, the percentage cost saving is 2-7%.  


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