New optimal planning strategy for plug‐in electric vehicles charging stations in a coupled power and transportation network

• Published in: Journal of engineering (Stevenage, England) Vol. 2023; no. 3
• Main Authors: Keleshteri, Sobhan Farjam, Niknam, Taher, Ghiasi, Mohammad, Chabok, Hossein
• Format: Journal Article
• Language: English
• Published: London John Wiley & Sons, Inc 01.03.2023
• Subjects: Algorithms; charging stations; Costs; Electric power loss; Electric vehicle charging; Electric vehicles; Electrical networks; Electrical plugs; Electricity; Electricity distribution; Emissions; Fossil fuels; Greenhouse gases; Linear programming; optimization; plug‐in electric vehicles; power transportation network; smart grids; Strategic planning; Traffic flow; Transportation networks; Transportation systems
• ISSN: 2051-3305; 2051-3305
• DOI: 10.1049/tje2.12252

The use of plug‐in electric vehicles (PEV) and their developing technology can create new challenges to the smart power system. The type, method, and time of charging electric vehicles are also other issues. Allocating and determining the optimal capacity of electric vehicle charging stations (EVCS) is related to the technical requirements of the distribution network. This is economically important for the construction of charging stations. This paper proposes a new approach for optimal siting and sizing of PEV charging stations in a coupled electrical and transportation network. This work presents the problem from a techno‐economic point of view of the electrical network as a multi‐objective problem with the objectives of simultaneously reducing the cost of building EVCSs and active power losses. The Pareto method is used to solve the problem and to display optimal points. In order to carry out the simulation, the proposed method is tested on a case study of the standard IEEE 37‐bus network with a 25‐node transport system and the proposed solution in the subject environment. The Floyd–Warshall method is utilized to determine the shortest travel routes for PEVs. The obtained results confirm the effectiveness of the optimal planning of PEV charging stations. This work presents a multi‐objective problem with the objectives of simultaneously reducing the cost of building EVCSs and active power losses. The proposed method is tested on a case study of the standard IEEE 37‐bus network with a 25‐node transport system and the proposed solution in the subject environment. The Floyd‐Warshall method is utilized to determine the shortest travel routes for PEVs.