Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations

التفاصيل البيبلوغرافية
العنوان: Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations
المؤلفون: Hiroaki Nishi, Tomoya Imanishi
المصدر: International Journal of Intelligent Transportation Systems Research. 15:155-165
بيانات النشر: Springer Science and Business Media LLC, 2016.
سنة النشر: 2016
مصطلحات موضوعية: Engineering, Electrical load, Energy management, business.industry, 020209 energy, General Neuroscience, Applied Mathematics, Aerospace Engineering, 02 engineering and technology, Fuzzy control system, Automotive engineering, Computer Science Applications, Power (physics), Smart grid, Control and Systems Engineering, Automotive Engineering, 0202 electrical engineering, electronic engineering, information engineering, Electric power, business, Software, Energy (signal processing), Simulation, Information Systems, Efficient energy use
الوصف: Vehicle-to-grid (V2G) is a key technology that is receiving significant attention as a method for achieving an efficient energy management system (EMS) by connecting electric vehicles (EVs) to an electric power grid. In this study, a fuzzy control method and an optimization control method were proposed as effective control methods for reducing the installation battery capacity and the electric charge in one day by leveling the electric load. As the result, the required battery capacity was 429 kWh for IEVBS model, and 480 kWh for MEVBS model using optimization control method. The control method could save at most $17.98 of an electric bill and achieve power leveling.
تدمد: 1868-8659
1348-8503
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_________::ddd191c412b789866da9891d55da913f
https://doi.org/10.1007/s13177-016-0129-8
حقوق: CLOSED
رقم الأكسشن: edsair.doi...........ddd191c412b789866da9891d55da913f
قاعدة البيانات: OpenAIRE