Towards Wind Energy-based Charging Stations: A Review of Optimization Methods

Authors

Ali M. W. Alhasan, Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Kajang 43000, MalaysiaFollow
Dallatu A. Umar, Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia\\ Department of Physics, Kaduna State University, Tafawa Balewa Way, PMB 2339, Kaduna 800283, NigeriaFollow
Gamal Alkawsi, Institute of Sustainable Energy (ISE), Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia\\ Faculty of Computer Science and Information Systems, Thamar University, Thamar, YemenFollow
Ammar A. Alkahtani, Renewable Energy Engineering Department, Fahad Bin Sultan University, Tabuk 71454, Saudi ArabiaFollow
Mohammad A. Alomari, Institute of Informatics and Computing in Energy, Universiti Tenaga Nasional (UNITEN), Kajang 43000, Malaysia\\ Faculty for Engineering and Information Technology, Taiz University, Taiz, YemenFollow
Hazleen ArisFollow

Abstract

Due to the growing importance of renewable sources in sustainable energy systems, the strategic deployment of robust optimization techniques plays a crucial role in the design of Electric Vehicle Charging Stations (EVCSs). These stations need to smoothly incorporate renewable sources, ensuring optimal energy utilization. This study provides a comprehensive overview of the methodologies and approaches employed in the enhancement of wind energy based EVCSs. The aim is to discern the most efficacious techniques for optimizing charging stations. Researchers engage diverse strategies and methodologies in the realm of sizing and optimization, encompassing a spectrum of algorithmic implementations and software solutions. Evidently, each algorithm or software application bears distinctive merits and demerits. Singular reliance on a solitary algorithm or software for charging utility optimization is discerned to be potentially limiting. The investigation reveals that achieving better results in Electric Vehicle Charging Station (EVCS) optimization is facilitated by the collaborative use of multiple algorithms like GA, PSO, and ACO, among others, or software tools like Homer or RETScreen.

Recommended Citation

M. W. Alhasan, Ali; A. Umar, Dallatu; Alkawsi, Gamal; A. Alkahtani, Ammar; A. Alomari, Mohammad; and Aris, Hazleen (2023) "Towards Wind Energy-based Charging Stations: A Review of Optimization Methods," Information Sciences Letters: Vol. 12 : Iss. 9 , PP -.
Available at: https://digitalcommons.aaru.edu.jo/isl/vol12/iss9/10