Fully distributed planning method for coordinated distribution and urban transportation networks considering three-phase unbalance mitigation

Shi, Haojie, Xiong, Houbo, Gan, Wei, Lin, Yumian and Guo, Chuangxin 2025. Fully distributed planning method for coordinated distribution and urban transportation networks considering three-phase unbalance mitigation. Applied Energy 377 (Part A) , 124449. 10.1016/j.apenergy.2024.124449 Item availability restricted.

PDF - Accepted Post-Print Version Restricted to Repository staff only until 14 September 2025 due to copyright restrictions. Download (2MB)

Abstract

Electric vehicles (EVs) are regarded as one of the silver bullets for addressing the global climate warming issue due to their zero‑carbon emission. However, the proliferation of EVs increases the demand on distribution network (DN), which already face challenges due to three-phase asymmetrical loads and impedance mismatches. The combination of charging demand and traditional three-phase loads aggravated the nodal voltage imbalance within DN. To tackle these issues, this paper presents a coordinated planning model for a three-phase unbalanced distribution network (TUDN) and urban transportation network (UTN). The model optimizes the placement of fast charging stations (FCS), line expansions, and road enhancements, using a distribution network reconfiguration (DNR) strategy to improve charging traffic flow (CTF) and reduce voltage imbalances. To ensure privacy encryption, a fully distributed framework using the alternating direction method of multipliers (ADMM) is designed to solve this problem, where a two-layer iterative process (TIP) is further developed to improve the convergence of ADMM, taking into account the integer variables in the model. Numerical simulations on a modified IEEE 34-bus system and a real-world system in China demonstrate the model’ s effectiveness, achieving a 43.84 % reduction in maximum voltage imbalance and outperforming other algorithms in iteration count and computation time.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Publisher:	Elsevier
ISSN:	0306-2619
Date of First Compliant Deposit:	24 October 2024
Date of Acceptance:	6 September 2024
Last Modified:	17 Dec 2024 11:45
URI:	https://orca.cardiff.ac.uk/id/eprint/172428

Actions (repository staff only)

Edit Item