Market-based coordinated planning of fast charging station and dynamic wireless charging system considering energy demand assignment

Xia, Fangzhou, Chen, Hongkun, Yan, Mingyu, Gan, Wei, Zhou, Quan, Ding, Tong, Wang, Xuechun, Wang, Lingling and Chen, Lei 2024. Market-based coordinated planning of fast charging station and dynamic wireless charging system considering energy demand assignment. IEEE Transactions on Smart Grid 15 (2) , pp. 1913-1925. 10.1109/TSG.2023.3299591

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Abstract

With the rapid growth of electric vehicle (EV) penetration, EV charging demand is becoming greater and diversified. To meet the diverse EV charging demand, we propose a market-based coordinated planning method of fast charging station (FCS) and dynamic wireless charging system (DWCS). Firstly, a bi-level coordinated planning model considering the benefits of charging service provider and EV user group is built. It can make full use of the complementary characteristics of FCSs and DWCSs. Then, the energy demand assignment(EDA) approach that can directly assign energy demand to roads and power nodes is proposed and applied in the inner level of bi-level coordinated planning model. Finally, the cases that consider the impact of differentiated traffic demand and land prices in different regions are proposed. The case studies are formulated based on the 21 power nodes-12 traffic nodes network and the 54 power nodes-25 traffic nodes network. To calculate the optimal solution, the KKT conditions, the McCormick relaxation approach, the optimization-based bound tightening approach (OBBT) and the sequential bound tightening approach (SBT) are employed. Numerical simulation results validate that the proposed method can effectively improve the profits of charging service provider and keep the EV users’ charging cost at relatively low range.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	1949-3053
Date of First Compliant Deposit:	6 November 2023
Date of Acceptance:	24 July 2023
Last Modified:	17 Dec 2024 12:00
URI:	https://orca.cardiff.ac.uk/id/eprint/163388

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