{"title":"利用 ESS 和实时定价分析聚合器智能充电中的电动汽车用户行为","authors":"Aakash Kumar, Draupathi Chin","doi":"10.32388/2sdpk4.2","DOIUrl":null,"url":null,"abstract":"Amidst increasing global electricity consumption, governments prioritize energy efficiency and electric vehicle (EV) integration into energy markets. This study examines EV aggregator strategies employing smart charging methods, adjusting charging rates based on user preferences. Through simulations in Quito's distribution system, it analyzes actions' effects on aggregator costs and technical conditions, with a focus on demand response (DR) strategies, particularly in residential areas. Exploring EVs' potential as energy storage via vehicle-to-home (V2H) and vehicle-to-grid (V2G) options, the study introduces a collaborative evaluation of dynamic pricing and peak power limiting-based DR strategies, integrating bi-directional EV and energy storage system (ESS) use. It also proposes a novel mixed-integer linear programming (MILP) model for home energy management (HEM), incorporating distributed renewable energy, V2H/V2G capabilities, two-way ESS energy trading, and diverse DR strategies. This comprehensive approach assesses the impact of EV owner preferences and ESS availability on reducing total electricity costs through case studies.\n","PeriodicalId":500839,"journal":{"name":"Qeios","volume":"56 9","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Analyzing EV User Behavior in Aggregator Smart Charging with ESS and Real-Time Pricing\",\"authors\":\"Aakash Kumar, Draupathi Chin\",\"doi\":\"10.32388/2sdpk4.2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Amidst increasing global electricity consumption, governments prioritize energy efficiency and electric vehicle (EV) integration into energy markets. This study examines EV aggregator strategies employing smart charging methods, adjusting charging rates based on user preferences. Through simulations in Quito's distribution system, it analyzes actions' effects on aggregator costs and technical conditions, with a focus on demand response (DR) strategies, particularly in residential areas. Exploring EVs' potential as energy storage via vehicle-to-home (V2H) and vehicle-to-grid (V2G) options, the study introduces a collaborative evaluation of dynamic pricing and peak power limiting-based DR strategies, integrating bi-directional EV and energy storage system (ESS) use. It also proposes a novel mixed-integer linear programming (MILP) model for home energy management (HEM), incorporating distributed renewable energy, V2H/V2G capabilities, two-way ESS energy trading, and diverse DR strategies. This comprehensive approach assesses the impact of EV owner preferences and ESS availability on reducing total electricity costs through case studies.\\n\",\"PeriodicalId\":500839,\"journal\":{\"name\":\"Qeios\",\"volume\":\"56 9\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-05-06\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Qeios\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.32388/2sdpk4.2\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Qeios","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.32388/2sdpk4.2","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
在全球用电量不断增加的情况下，各国政府将能源效率和电动汽车（EV）融入能源市场作为优先事项。本研究探讨了电动汽车聚合商采用智能充电方法的策略，即根据用户偏好调整充电费率。通过对基多配电系统的模拟，研究分析了这些行动对聚合器成本和技术条件的影响，重点关注需求响应（DR）策略，尤其是在住宅区。该研究探索了电动汽车通过车到户（V2H）和车到网（V2G）选择作为储能设备的潜力，引入了基于动态定价和峰值功率限制的需求响应策略的合作评估，整合了电动汽车和储能系统（ESS）的双向使用。研究还为家庭能源管理（HEM）提出了一个新颖的混合整数线性规划（MILP）模型，将分布式可再生能源、V2H/V2G 功能、双向 ESS 能源交易和多样化的 DR 策略结合在一起。这种综合方法通过案例研究评估了电动汽车车主偏好和ESS可用性对降低总电费的影响。
Analyzing EV User Behavior in Aggregator Smart Charging with ESS and Real-Time Pricing
Amidst increasing global electricity consumption, governments prioritize energy efficiency and electric vehicle (EV) integration into energy markets. This study examines EV aggregator strategies employing smart charging methods, adjusting charging rates based on user preferences. Through simulations in Quito's distribution system, it analyzes actions' effects on aggregator costs and technical conditions, with a focus on demand response (DR) strategies, particularly in residential areas. Exploring EVs' potential as energy storage via vehicle-to-home (V2H) and vehicle-to-grid (V2G) options, the study introduces a collaborative evaluation of dynamic pricing and peak power limiting-based DR strategies, integrating bi-directional EV and energy storage system (ESS) use. It also proposes a novel mixed-integer linear programming (MILP) model for home energy management (HEM), incorporating distributed renewable energy, V2H/V2G capabilities, two-way ESS energy trading, and diverse DR strategies. This comprehensive approach assesses the impact of EV owner preferences and ESS availability on reducing total electricity costs through case studies.
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