Kathrin Walz, K. Rudion, Cristina-Maria Moraw, Martin Eilers
{"title":"Probabilistic Impact Assessment of Electric Truck Charging on a Medium Voltage Grid","authors":"Kathrin Walz, K. Rudion, Cristina-Maria Moraw, Martin Eilers","doi":"10.1109/ISGT-Europe54678.2022.9960621","DOIUrl":null,"url":null,"abstract":"Electric truck charging will lead to new challenges for the power grid, which have been hardly addressed in the literature so far. However, due to the still low penetration level of electric trucks, it is difficult to yet analyze the grid impact of their charging profiles today based on the practical experiences. This paper, therefore, proposes an approach to integrate truck charging into time series-based probabilistic grid analysis. The applicability of the approach is demonstrated using a real industrial medium voltage grid from Germany. With the grid impact, the results show not only the clear need to deal more with electric truck charging in grid planning, but also the added value of using time series-based probabilistic grid simulations in this topic.","PeriodicalId":311595,"journal":{"name":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","volume":"28 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISGT-Europe54678.2022.9960621","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
Electric truck charging will lead to new challenges for the power grid, which have been hardly addressed in the literature so far. However, due to the still low penetration level of electric trucks, it is difficult to yet analyze the grid impact of their charging profiles today based on the practical experiences. This paper, therefore, proposes an approach to integrate truck charging into time series-based probabilistic grid analysis. The applicability of the approach is demonstrated using a real industrial medium voltage grid from Germany. With the grid impact, the results show not only the clear need to deal more with electric truck charging in grid planning, but also the added value of using time series-based probabilistic grid simulations in this topic.