加州需求响应市场中电动汽车的综合建模
Comprehensive Modeling of Electric Vehicles in California Demand Response Markets
AI总结：
本文基于加州多个真实需求响应市场，构建电动汽车综合建模框架，通过单向电动汽车-电网集成策略最大化收益，利用商业示范站点数据建模电动汽车灵活性，并通过混合整数规划方法分析系统成本节约性能。
摘要：
电动汽车（EV）是一种重要的分布式能源资源（DERs），为电网运营商实现多种目标提供了灵活性。本文提出了在加州多个真实需求响应（DR）市场中电动汽车的综合建模框架，并提供联合策略以通过单向电动汽车-电网集成（V1G）最大化收益。利用商业示范站点的电动汽车行程和使用信息来建模电动汽车的灵活性，基于此，我们使用混合整数规划方法建模异质市场规则。系统成本节约性能针对车队属性和市场约束，包括灵活性、参与门槛和基线计算等进行分析。
英文摘要：
Electric vehicle (EV) is a significant type of distributed energy resources (DERs), that provide flexibilities to grid operators to achieve a myriad of objectives. This paper presents a comprehensive modeling framework of EVs under multiple real-world demand response (DR) markets in California and provides combined strategies to maximize the revenues via unidirectional EV-Grid integrations (V1G). EV itinerary and usage information from a commercial demonstration site is utilized to model the EV flexibilities, based on which, we modeled the heterogeneous market rules using mixed-integer programming approaches. The system cost-saving performance is analyzed with respect to fleet properties and market constraints, including flexibility, participation threshold, and baseline calculaton, etc.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
