Article: Electric vehicle charging station planning based on the development of distribution networks and coupled charging demand Journal: International Journal of Information and Communication Technology (IJICT) 2025 Vol.26 No.6 pp.62 - 97 Abstract: Current research on charging station planning overlooks the evolution of power distribution networks and oversimplifies charging demand without considering the traffic characteristics of electric vehicles (EVs), leading to voltage deviations due to high charging loads. This paper proposes a bi-level optimisation model to simulate EV charging demand based on road networks. Charging demand is forecasted through road network simulation, and simplified charging needs are clustered with road weights. The model then optimises the power distribution network topology, as well as the location and capacity of charging stations. The upper level optimises the power network structure, while the lower level optimises the layout and capacity of charging stations. Case studies show that the clustering algorithm based on road weights effectively simplifies the data while retaining the spatiotemporal characteristics of charging demand. The proposed bi-level planning model significantly mitigates voltage deviations caused by high charging loads. Inderscience Publishers - linking academia, business and industry through research

Title: Electric vehicle charging station planning based on the development of distribution networks and coupled charging demand

Authors: Daqing He; Yunuo Chen; Linwei Li; Dunchu Chen; Wenwu Li

Addresses: China Three Gorges University, Yichang, Hubei, 443100, China ' China Three Gorges University, Yichang, Hubei, 443100, China ' China Three Gorges University, Yichang, Hubei, 443100, China ' Hubei province Key Laboratory of Cascade Hydropower Station Operation and Control, Yichang, Hubei, 443100, China ' Hubei province Key Laboratory of Cascade Hydropower Station Operation and Control, Yichang, Hubei, 443100, China

Abstract: Current research on charging station planning overlooks the evolution of power distribution networks and oversimplifies charging demand without considering the traffic characteristics of electric vehicles (EVs), leading to voltage deviations due to high charging loads. This paper proposes a bi-level optimisation model to simulate EV charging demand based on road networks. Charging demand is forecasted through road network simulation, and simplified charging needs are clustered with road weights. The model then optimises the power distribution network topology, as well as the location and capacity of charging stations. The upper level optimises the power network structure, while the lower level optimises the layout and capacity of charging stations. Case studies show that the clustering algorithm based on road weights effectively simplifies the data while retaining the spatiotemporal characteristics of charging demand. The proposed bi-level planning model significantly mitigates voltage deviations caused by high charging loads.

Keywords: charging station planning; distribution network planning; clustering; electric vehicles; EVs; bilevel optimisation; distribution network; article swarm optimisation.

DOI: 10.1504/IJICT.2025.145404

International Journal of Information and Communication Technology, 2025 Vol.26 No.6, pp.62 - 97

Received: 13 Dec 2024
Accepted: 22 Jan 2025
Published online: 31 Mar 2025 *

Title: Electric vehicle charging station planning based on the development of distribution networks and coupled charging demand

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