| Autor: |
Haodong Wang, Ning Chen, Zan Liu, Songwei Zhang, Zhiguo Li, Tie Qiu |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
IET Collaborative Intelligent Manufacturing, Vol 5, Iss 1, Pp n/a-n/a (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2516-8398 |
| DOI: |
10.1049/cim2.12068 |
| Popis: |
Abstract To make charging of electric vehicles (EVs) more convenient, the service providers of charging stations (CSs) establish a large number of CSs. Existing methods address the problem of reducing costs and increasing revenue for the service providers from multiple aspects, such as CS location optimisation and charging pricing strategy. This study proposes multi‐parameters‐based‐dynamic scheduling with energy management for the CSs, considering energy management and EV charging scheduling (EVCS). A fully functional battery management system is designed for energy storage. A multi‐parameters optimisation algorithm is proposed by designing the CS selection operator based on alternative set and adjusting parameters. The experiments show that our proposed algorithms got better performance in terms of optimisation effect, the number of iterations, and stability. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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