کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
10141110 1646055 2018 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Comparing the emissions benefits of centralized vs. decentralized electric vehicle smart charging approaches: A case study of the year 2030 California electric grid
ترجمه فارسی عنوان
مقایسۀ مزایای انتشار متدهای شبیه سازی هوشمندانه وسایل نقلیه الکتریکی متمرکز بر غیر متمرکز: مطالعه موردی سال 2030 کالیفرنیا شبکه برق
کلمات کلیدی
موضوعات مرتبط
مهندسی و علوم پایه شیمی الکتروشیمی
چکیده انگلیسی
Grid communicative “smart” charging of electric vehicles can provide significant benefits for maximizing the emission reductions provided by the large-scale use of these vehicles. While decentralized approaches to smart charging can be practical to implement in real systems, it is unclear whether these provide the same benefits for the electric grid as those identified by centralized approaches in the literature. This study compares the CO2 and NOx reduction benefits, and cost and grid capacity benefits, achieved by decentralized and centralized electric vehicle smart charging by modeling two different smart charging algorithms in battery electric vehicles and characterizing their effect on the operation and dispatch of electric grid resources and subsequently electric grid CO2 and NOx emissions. Decentralized approaches were found to provide the same CO2 emissions benefits and within 2% of the NOx emissions benefits achieved with centralized approaches, but only if the frequency of communication between vehicles and the electric grid is sufficiently high (less than 60 min). The difference in NOx emission is associated with the increased load variability caused by less frequent communication in decentralized smart charging resulting in higher power plant startup events. Finally, costs and grid capacity needs are increased without frequent grid communication.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Power Sources - Volume 401, 15 October 2018, Pages 175-185
نویسندگان
, , , ,