Technical Architecture and Control Strategy for Residential Community Orderly Charging Based on an Active Reservation Mechanism for Unconnected Charging Pile
The large-scale adoption of electric vehicles has created an urgent need for the orderly management of charging loads in residential communities. While existing research on community-based orderly charging architectures and control strategies primarily focuses on connected charging piles (CPs) equipped with remote power control functions. However, in practical scenarios, most residential communities still rely on unconnected charging piles (UCPs) that lack remote communication capabilities, making it difficult to practically deploy many intelligent orderly architectures and control strategies that rely on communication with charging piles. Therefore, this paper proposes a non-intrusive orderly charging architecture tailored for UCPs. This architecture does not require modifying the hardware of UCPs; instead, it introduces pile-end management units (PMUs) to interact with users for orderly charging, thereby facilitating easier deployment and promotion. Based on this architecture, an optimized control strategy using the GD-SA (greedy-simulated annealing) algorithm for orderly charging is constructed, which considers the dual constraints of transformer capacity and charging demand. Case studies on a typical community in Tianjin, China, demonstrate that with the proposed order charging architecture and strategy, when users fully accept the orderly charging approach, the peak load can be reduced by over 17% compared to uncontrolled charging scenarios. Additionally, the effectiveness of the method has been validated through sensitivity analysis of user acceptance, stress scenario testing, and statistical analysis with a 95% confidence interval. Finally, this paper summarizes the practical value potential of supporting UCPs in achieving orderly charging, while also pointing out the limitations of the current research and identifying directions for further in-depth exploration.
Authors
- Zhijie Zhang (ORCID: https://orcid.org/0000-0002-9727-7043)
- Guoqiang Zu (ORCID: https://orcid.org/0000-0003-4230-4419)
- Shaoxiong Li (ORCID: https://orcid.org/0000-0001-8010-6224)
- Minghui Jia
- Jian Zhang (ORCID: https://orcid.org/0009-0008-0600-4252)
- Shuang Hao (ORCID: https://orcid.org/0009-0009-1799-8157)
Institutions
- Tianjin Research Institute of Electric Science (China) (CN)
Publication Details
- Journal
- World Electric Vehicle Journal
- Published
- 2025-10-24
- DOI
- https://doi.org/10.3390/wevj16110593
- Primary Topic
- Electric Vehicles and Infrastructure
- Type
- article
- Field-Weighted Citation Impact
- 0.00