Estimation of Required EVs Battery Capacity for Leveling Demand Energy Considering Parking Durations
| Autor: | Hiroaki Nishi, Tomoya Imanishi |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
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 |
| Zdroj: | International Journal of Intelligent Transportation Systems Research. 15:155-165 |
| ISSN: | 1868-8659 1348-8503 |
| DOI: | 10.1007/s13177-016-0129-8 |
| Popis: | 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. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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