@article{ZU2025, 
author = {Guoqiang ZU and Xu HUANG and Ruijia JIANG and Wei SI and Peng ZUO and Chunhui ZHANG},
title = {Market-Driven Congestion Management in Distribution Networks and Distributed Clearing Methods for Local Flexibility Markets},
year = {2025},
journal = {Distributed Energy},
volume = {10},
number = {2},
pages = {49-57},
keywords = {congestion management, local flexibility market (LFM), electric vehicle, bidding strategy, clearing algorithm, distribution system},
url = {https://www.sciopen.com/article/10.16513/j.2096-2185.DE.(2025)010-02-0049-09},
doi = {10.16513/j.2096-2185.DE.(2025)010-02-0049-09},
abstract = {With the widespread integration of electric vehicles as flexible resources on the user side and distributed photovoltaic generation units into the distribution network, serious issues such as voltage violations and line flow congestion may arise. These problems can severely impact the normal and stable operation of the distribution system, posing significant challenges for distribution system operators (DSOs). To address this, this paper proposes a user-side electric vehicle regulation and local flexibility market clearing method for congestion management in distribution networks. Firstly, the operational mechanism of the local flexibility market (LFM) is established, and a flexibility bidding strategy model for flexibility aggregators is constructed to bid for flexibility based on the flexibility demand published by the LFM. Secondly, based on the alternating direction method of multipliers (ADMM) distributed clearing algorithm, the clearing of the LFM is ensured without disclosing the privacy information of DSOs and user-side flexible resources to the LFM operator. Finally, through case studies, the effectiveness of the proposed LFM mechanism and distributed clearing algorithm is verified, demonstrating that the proposed method can fully utilize the flexibility of user-side electric vehicles for congestion management in distribution networks.}
}