Smart load scheduling strategy utilising optimal charging of electric vehicles in power grids based on an optimisation algorithm
| Autor: | Miadreza Shafie-khah, Oveis Abedinia, Noradin Ghadimi, Mehdi Bagheri, Joao P. S. Catalao, Maxim Lu |
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| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
electric vehicle charging
Computer Networks and Communications Computer science optimisation 020209 energy Stability (learning theory) peak-demand hours 02 engineering and technology power grid Automotive engineering smart load scheduling strategy utilising optimal charging optimisation methods Power generation scheduling 0202 electrical engineering electronic engineering information engineering Optimisation algorithm Power grid Electrical and Electronic Engineering electric vehicles standard models optimisation algorithm ev charging battery powered vehicles grid stability Load scheduling Grid power grids Power (physics) charging stations power generation scheduling charge ev battery 020201 artificial intelligence & image processing smart charging model lcsh:Electrical engineering. Electronics. Nuclear engineering lcsh:TK1-9971 intelligent algorithm Information Systems |
| Zdroj: | IET Smart Grid (2020) |
| Popis: | One of the main goals of any power grid is sustainability. The given study proposes a new method, which aims to reduce users’ anxiety especially at slow charging stations and improve the smart charging model to increase the benefits for the electric vehicles’ owners, which in turn will increase the grid stability. The issue under consideration is modelled as an optimisation problem to minimise the cost of charging. This approach levels the load effectively throughout the day by providing power to charge EVs’ batteries during the off-peak hours and drawing it from the EVs’ batteries during peak-demand hours of the day. In order to minimise the costs associated with EVs’ charging in the given optimisation problem, an improved version of an intelligent algorithm is developed. In order to evaluate the effectiveness of the proposed technique, it is implemented on several standard models with various loads, as well as compared with other optimisation methods. The superiority and efficiency of the proposed method are demonstrated, by analysing the obtained results and comparing them with the ones produced by the competitor techniques. |
| Databáze: | OpenAIRE |
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