{"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":8.6000,"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.
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.