Travel behavior and System Objectives Uncertainties In Electric Vehicle Optimal Charging
| Autor: | Hanif Tayarani, Alireza Fereidunian, Hamidreza Jahangir, Sina Baghali, Masoud Aliakbar Golkar |
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| Rok vydání: | 2018 |
| Předmět: |
Effectuation
Wind power business.product_category business.industry Computer science 020209 energy Vehicle-to-grid 02 engineering and technology Automotive engineering Scheduling (computing) Travel behavior State of charge Distributed generation Electric vehicle 0202 electrical engineering electronic engineering information engineering business |
| Zdroj: | 2018 Smart Grid Conference (SGC). |
| DOI: | 10.1109/sgc.2018.8777835 |
| Popis: | The negative environmental impacts of using fossil fuel-powered vehicles underlined the need for inventing an alternative eco-friendly transportation fleet. Electrical vehicles (EVs) were introduced as an eligible substitute for the conventional vehicle fleet. The significant uncertainties associated with EVs usage, however, make their performance unpredictable. In this paper, we introduce a methodological framework for scheduling smart charging of EVs which considers the colligated uncertainties. Furthermore, the framework includes an ecumenical model for charging and discharging of EVs which is utilized in a 21-node sample distribution network which contains wind turbine as a Distributed Generation units. Our proposed approach extracted that the welfare of Vehicle to Grid effectuation in the network is much more beneficial than the uncoordinated mode. The simulation result indicates that smart charging effectuation is economical. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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