Charging strategies to minimize the energy cost for an electric vehicle fleet
| Autor: | Seddik Bacha, Van-Linh Nguyen, Ngoc-An Luu, T. Tran-Quoc |
|---|---|
| Přispěvatelé: | Laboratoire de Génie Electrique de Grenoble (G2ELab), Université Joseph Fourier - Grenoble 1 (UJF)-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-Institut Polytechnique de Grenoble - Grenoble Institute of Technology-Centre National de la Recherche Scientifique (CNRS), Institut National de L'Energie Solaire (INES), Commissariat à l'énergie atomique et aux énergies alternatives (CEA)-Université Savoie Mont Blanc (USMB [Université de Savoie] [Université de Chambéry])-Centre National de la Recherche Scientifique (CNRS), The university of Danang |
| Jazyk: | angličtina |
| Rok vydání: | 2014 |
| Předmět: |
Engineering
business.product_category Binary linear programming Linear programming business.industry Electricity price 020209 energy Photovoltaic system [SPI.NRJ]Engineering Sciences [physics]/Electric power Electrical engineering 02 engineering and technology 7. Clean energy Scheduling (computing) Charging station Hardware_GENERAL Electric vehicle 0202 electrical engineering electronic engineering information engineering Energy cost 020201 artificial intelligence & image processing business ComputingMilieux_MISCELLANEOUS |
| Zdroj: | Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe), 2014 IEEE PES, 2014, Istanbul, Turkey. pp.1--7 |
| Popis: | In the paper, we consider the charging scheduling of the electric vehicles (EVs) at a charging station with multiple charge points. The charging station is equipped with photovoltaic (PV) generator and can buy or sell energy to power grid. The paper proposes charging strategies to reduce the charging cost of the charging station under time-varying electricity price signals. These strategies are based on the interruption (on/off) or on the modulation of EV charging power. By dividing the daytime in many intervals, a binary linear programming and a linear programming is used, respectively for each strategy, to manage the charging plan of the vehicles. The first application is used for reducing total energy cost in daytime. The second application is proposed to limit the charging power and reducing total energy cost simultaneously during a time defined by DSO (or another operator). The proposed method takes into account the random time arrival and random time departure of vehicle. The performance of the proposed strategies is validated by simulations for a charging station of 50 electric vehicles in real time conditions. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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