电动汽车分散充电改进AIMD算法的联合仿真

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe) Pub Date : 2019-06-10 DOI:10.1109/EEEIC.2019.8783621

Samy Faddel, M. E. Hariri, O. Mohammed

{"title":"电动汽车分散充电改进AIMD算法的联合仿真","authors":"Samy Faddel, M. E. Hariri, O. Mohammed","doi":"10.1109/EEEIC.2019.8783621","DOIUrl":null,"url":null,"abstract":"Mass adoption of Electric Vehicles (EVs) will bring some challenges to the operators of electric utilities. This paper proposes a decentralized control algorithm to manage the charging of distributed EVs. The proposed algorithm is inspired by the Additive Increase - Multiplicative Decrease (AIMD) algorithm, which is commonly used for the management of communication network congestions. The improved algorithm takes into consideration the preferences of the owners of the EVs. Also, it eliminates the overloading and the under-voltage problems that might be associated with the charging of EVs. The proposed algorithm is validated using a co-simulation platform, where the power components are simulated using MATLAB/Simulink and is linked to embedded microcontrollers over a real-time communication network via the Data Distribution System (DDS) middleware.","PeriodicalId":422977,"journal":{"name":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","volume":"241 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-06-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Co-Simulation of Improved AIMD Algorithm for Decentralized Charging of Electric Vehicles\",\"authors\":\"Samy Faddel, M. E. Hariri, O. Mohammed\",\"doi\":\"10.1109/EEEIC.2019.8783621\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Mass adoption of Electric Vehicles (EVs) will bring some challenges to the operators of electric utilities. This paper proposes a decentralized control algorithm to manage the charging of distributed EVs. The proposed algorithm is inspired by the Additive Increase - Multiplicative Decrease (AIMD) algorithm, which is commonly used for the management of communication network congestions. The improved algorithm takes into consideration the preferences of the owners of the EVs. Also, it eliminates the overloading and the under-voltage problems that might be associated with the charging of EVs. The proposed algorithm is validated using a co-simulation platform, where the power components are simulated using MATLAB/Simulink and is linked to embedded microcontrollers over a real-time communication network via the Data Distribution System (DDS) middleware.\",\"PeriodicalId\":422977,\"journal\":{\"name\":\"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)\",\"volume\":\"241 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-06-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/EEEIC.2019.8783621\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/EEEIC.2019.8783621","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

电动汽车的大规模普及将给电力运营商带来一些挑战。本文提出了一种分布式电动汽车充电管理的分散控制算法。该算法的灵感来自于通常用于通信网络拥塞管理的加性增加-乘性减少(AIMD)算法。改进后的算法考虑了电动汽车车主的偏好。此外，它还消除了可能与电动汽车充电相关的过载和欠压问题。采用联合仿真平台对所提出的算法进行了验证，其中电源组件使用MATLAB/Simulink进行仿真，并通过数据分布系统(DDS)中间件通过实时通信网络与嵌入式微控制器连接。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Co-Simulation of Improved AIMD Algorithm for Decentralized Charging of Electric Vehicles

Mass adoption of Electric Vehicles (EVs) will bring some challenges to the operators of electric utilities. This paper proposes a decentralized control algorithm to manage the charging of distributed EVs. The proposed algorithm is inspired by the Additive Increase - Multiplicative Decrease (AIMD) algorithm, which is commonly used for the management of communication network congestions. The improved algorithm takes into consideration the preferences of the owners of the EVs. Also, it eliminates the overloading and the under-voltage problems that might be associated with the charging of EVs. The proposed algorithm is validated using a co-simulation platform, where the power components are simulated using MATLAB/Simulink and is linked to embedded microcontrollers over a real-time communication network via the Data Distribution System (DDS) middleware.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2019 IEEE International Conference on Environment and Electrical Engineering and 2019 IEEE Industrial and Commercial Power Systems Europe (EEEIC / I&CPS Europe)

自引率

0.00%

发文量