{"title":"Optimal Operation Strategy for Reconfigurable EV Chargers Under Component Failures","authors":"Bingkun Song;Udaya K. Madawala","doi":"10.1109/TSG.2024.3482230","DOIUrl":null,"url":null,"abstract":"Recently, reconfigurable electric vehicle chargers (REVCs) have been commercialized due to their benefits, especially concurrent charging of multiple EVs. However, the operation of REVCs introduces new challenges that were not previously encountered with conventional EV chargers. Therefore, this paper proposes an optimal operation strategy and an optimization model, enabling the effective and economical operation of REVC charging stations. Initially, the strategy considers the optimal allocation of charging spaces based on EV arrival and departure times at the charging station, to maximize operational efficiency and avoid charging congestion. Additionally, to mitigate potential overloading on the grid and REVCs due to EV charging, the strategy leverages the energy storage capability of EVs with long parking durations to supply energy to EVs with short parking durations. Consequently, the proposed optimization model addresses the optimal scheduling of EV charging and discharging to meet the charging demands of all EVs. Furthermore, the strategy accounts for scenarios where some charger components may experience failures, incorporating optimal operation schemes for REVCs with different failures. This differs from existing operation strategies, which did not consider failures. A comprehensive case study with 115 EVs is conducted to validate the effectiveness of the proposed operation strategy and optimization model, under both normal and failure conditions. Simulation results demonstrate that the proposed operation strategy and optimization model effectively achieve efficient and appropriate operation of REVCs.","PeriodicalId":13331,"journal":{"name":"IEEE Transactions on Smart Grid","volume":"16 2","pages":"1510-1522"},"PeriodicalIF":9.8000,"publicationDate":"2024-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Smart Grid","FirstCategoryId":"5","ListUrlMain":"https://ieeexplore.ieee.org/document/10720203/","RegionNum":1,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0
Abstract
Recently, reconfigurable electric vehicle chargers (REVCs) have been commercialized due to their benefits, especially concurrent charging of multiple EVs. However, the operation of REVCs introduces new challenges that were not previously encountered with conventional EV chargers. Therefore, this paper proposes an optimal operation strategy and an optimization model, enabling the effective and economical operation of REVC charging stations. Initially, the strategy considers the optimal allocation of charging spaces based on EV arrival and departure times at the charging station, to maximize operational efficiency and avoid charging congestion. Additionally, to mitigate potential overloading on the grid and REVCs due to EV charging, the strategy leverages the energy storage capability of EVs with long parking durations to supply energy to EVs with short parking durations. Consequently, the proposed optimization model addresses the optimal scheduling of EV charging and discharging to meet the charging demands of all EVs. Furthermore, the strategy accounts for scenarios where some charger components may experience failures, incorporating optimal operation schemes for REVCs with different failures. This differs from existing operation strategies, which did not consider failures. A comprehensive case study with 115 EVs is conducted to validate the effectiveness of the proposed operation strategy and optimization model, under both normal and failure conditions. Simulation results demonstrate that the proposed operation strategy and optimization model effectively achieve efficient and appropriate operation of REVCs.
近年来,可重构电动汽车充电器(reconfigurable electric vehicle charger, REVCs)因其优点,特别是多辆电动汽车同时充电的优点,已经开始商业化。然而,revc的运行带来了传统电动汽车充电器从未遇到过的新挑战。为此,本文提出了一种优化运行策略和优化模型,使REVC充电站能够有效、经济地运行。最初,该策略根据电动汽车到达和离开充电站的时间,考虑充电空间的最优分配,以最大限度地提高运营效率,避免充电拥堵。此外,为了减轻电动汽车充电可能造成的电网超载和revc,该策略利用长停车时间的电动汽车的储能能力,为短停车时间的电动汽车提供能量。因此,所提出的优化模型解决了电动汽车充放电的最优调度问题,以满足所有电动汽车的充电需求。此外,该策略考虑了某些充电器组件可能出现故障的情况,并结合了具有不同故障的revc的最佳操作方案。这与不考虑失败的现有操作策略不同。通过对115辆电动汽车的综合案例研究,验证了所提出的运行策略和优化模型在正常和故障情况下的有效性。仿真结果表明,所提出的运行策略和优化模型有效地实现了REVCs的高效、合理运行。
期刊介绍:
The IEEE Transactions on Smart Grid is a multidisciplinary journal that focuses on research and development in the field of smart grid technology. It covers various aspects of the smart grid, including energy networks, prosumers (consumers who also produce energy), electric transportation, distributed energy resources, and communications. The journal also addresses the integration of microgrids and active distribution networks with transmission systems. It publishes original research on smart grid theories and principles, including technologies and systems for demand response, Advance Metering Infrastructure, cyber-physical systems, multi-energy systems, transactive energy, data analytics, and electric vehicle integration. Additionally, the journal considers surveys of existing work on the smart grid that propose new perspectives on the history and future of intelligent and active grids.