Multi-parameters dynamic scheduling with energy management for electric vehicle charging stations

0Citations
Citations of this article
12Readers
Mendeley users who have this article in their library.

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.

Cite

CITATION STYLE

APA

Wang, H., Chen, N., Liu, Z., Zhang, S., Li, Z., & Qiu, T. (2023). Multi-parameters dynamic scheduling with energy management for electric vehicle charging stations. IET Collaborative Intelligent Manufacturing, 5(1). https://doi.org/10.1049/cim2.12068

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free