Research on smart charging and discharging decision model of electric vehicle based on energy router
| Autor: | Hong-yang Lin, Zhang-sui Lin, Liu-qing Qiu, Yi Lin, Fen Lin |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Router
business.product_category business.industry Computer science 020209 energy 02 engineering and technology Automotive engineering Electric power system Search algorithm Electric vehicle 0202 electrical engineering electronic engineering information engineering The Internet Minification business Decision model Energy (signal processing) |
| Zdroj: | 2017 IEEE Conference on Energy Internet and Energy System Integration (EI2). |
| DOI: | 10.1109/ei2.2017.8245558 |
| Popis: | As an significant element of the energy internet, the energy router can provide the technical support for electric vehicle to participate in the direct energy transaction and power demand response. In this paper, the energy trading method of electric vehicle based on energy router is proposed, three discharging modes as V2G(Vehicle-to-grid), V2H(Vehicle-to-home) and V2V(Vehicle-to-vehicle) are considered and a multi-objective optimization model of electric vehicle charging and discharging decision is established, aiming at the optimization of user benefit and the minimization of peak and valley difference rate of the power system. The model is solved by using greedy random adaptive search algorithm. Finally, a highly modernized city with electric vehicles is introduced, and the smart charging and discharging decision model of electric vehicle based on energy router is analyzed. The results demonstrate the effectiveness of the proposed model. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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