Optimal electrical fast charging stations by enhanced descent gradient and Voronoi diagram. (May 2020)

• Record Type: Journal Article
• Authors: Othman, Ahmed M.; Gabbar, Hossam A.; Pino, Francesco; Repetto, Maurizio
• Is Part Of: Computers & electrical engineering. Volume 83(2020)
• Publication Date: 2020-05
• Subjects: Enhanced descent gradient -- Voronoi diagram -- Electric bus network -- Fast charging stations -- Optimal planning -- Energy consumption -- Operating cost; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2020.106574
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: In this article, a synergy of Enhanced Heuristic Descent Gradient (EHDG) algorithm and Voronoi diagram is applied for the optimal planning of electrical Fast Charging Stations (FCSs) for electric buses. The proposed novel technique aims at achieving the optimal locations of charging stations based on route distributions, consumption profiles, and operating costs. The Enhanced Descent Gradient is applied to produce the optimal layout that is graphically represented by Voronoi diagram. A real world case study is presented to the bus network in city of Toronto to be replaced with electric buses that need electrical charging stations. The proposed technique is based on two incorporated stages: analyzing and estimating of the energy consumption of the bus network, then optimizing the allocation of charging stations to minimize the energy consumption and operating cost. The proposed technique is verified and compared with a well-established benchmark algorithm, which is particle swarm optimizer.