{"title":"Energy Management Strategy based Charging Coordination for Electric Vehicle Integrated Distribution Grid","authors":"T. Faghihi, Shahab Sabzi, L. Vajta","doi":"10.1109/FES57669.2023.10182883","DOIUrl":null,"url":null,"abstract":"This paper proposes a smart charging coordination strategy for electric vehicles (EVs) in a low-voltage (LV) distribution network. The strategy employs an energy management approach that considers the price sensitivity of EV drivers. Three priority groups are specified based on the EV’s state of charge (SoC) level: high-priority, low-priority, and normal-priority. Different time slots for charging are offered to drivers at varying prices, designated as red, blue, and green time zones. The proposed approach begins with a power flow program that checks all constraints before an EV can be permanently placed on a charging node. An objective function is formulated to minimize production costs while ensuring that the constraints on bus voltages and maximum allowed power consumption are met. Simulation results demonstrate the validity of the proposed algorithm in shifting loads while satisfying all network and EV constraints.","PeriodicalId":165790,"journal":{"name":"2023 International Conference on Future Energy Solutions (FES)","volume":"76 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 International Conference on Future Energy Solutions (FES)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/FES57669.2023.10182883","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
This paper proposes a smart charging coordination strategy for electric vehicles (EVs) in a low-voltage (LV) distribution network. The strategy employs an energy management approach that considers the price sensitivity of EV drivers. Three priority groups are specified based on the EV’s state of charge (SoC) level: high-priority, low-priority, and normal-priority. Different time slots for charging are offered to drivers at varying prices, designated as red, blue, and green time zones. The proposed approach begins with a power flow program that checks all constraints before an EV can be permanently placed on a charging node. An objective function is formulated to minimize production costs while ensuring that the constraints on bus voltages and maximum allowed power consumption are met. Simulation results demonstrate the validity of the proposed algorithm in shifting loads while satisfying all network and EV constraints.