期刊
2023 5TH GLOBAL POWER, ENERGY AND COMMUNICATION CONFERENCE, GPECOM
卷 -, 期 -, 页码 358-363出版社
IEEE
DOI: 10.1109/GPECOM58364.2023.10175763
关键词
electrical vehicle; charging stations; distribution grid; quasi-dynamic model; load flow analysis
As the distribution grids shift from the traditional model to the smart grid model, grid control plays an important role in deployment planning. The integration of Electric Vehicles (EVs) into the traditional distribution grid requires detailed planning and analysis studies. This study examines the effects of balanced and unbalanced EV charging station (EVCS) loads in a distribution region in Turkiye for low and high growth rate demand scenarios in 2030. Using current power consumption data, simulations were run on Digsilent Powerfactory and power demand for 2030 was forecasted. The results for both the traditional grid and expected smart grid scenarios are presented and discussed.
As distribution grids transition from the traditional model to the smart grid model, grid control becomes a significant part of deployment planning. The integration of Electric Vehicles (EVs) into the traditional distribution grid requires detailed planning and analysis studies to be performed. This study investigates the effects of balanced and unbalanced EV charging station (EVCS) loads in a distribution region in Turkiye for low and high growth rate demand scenarios in 2030. The charger model adopted for the study distribution region is a 7 kW single-phase device. The study uses the distribution region's current power consumption data to run simulations on Digsilent Powerfactory and to forecast power demand for 2030. The results for both traditional grid and expected smart grid scenarios are presented and discussed.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据