2020/05/26 by Yunfan Zhang, Feng Liu, Zhang, Yunfan +13
Computer Science · Engineering · #Advanced Battery Technologies Research #Electric Vehicles and Infrastructure #Energy Harvesting in Wireless Networks #FOS: Electrical engineering #Systems and Control (eess.SY) #cs.SY #eess.SY #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2005.12519
arxiv created 2020/05/26 · openalex publication_date 2020/05/26 · arxiv updated 2020/05/27 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The proliferation of plug-in electric vehicles (PEVs) advocates a distributed paradigm for the coordination of PEV charging. Distinct from existing primal-dual decomposition or consensus methods, this paper proposes a cutting-plane based distributed algorithm, which enables an asynchronous coordination while well preserving individual's private information. To this end, an equivalent surrogate model is first constructed by exploiting the duality of the original optimization problem, which masks the private information of individual users by a transformation. Then, a cutting-plane based algorithm is derived to solve the surrogate problem in a distributed manner with intrinsic superiority to cope with various asynchrony. Critical implementation issues, such as the distributed initialization, cutting-plane generation and localized stopping criteria, are discussed in detail. Numerical tests on IEEE 37- and 123-node feeders with real data show that the proposed method is resilient to a variety of asynchrony and admits the plug-and-play operation mode. It is expected the proposed methodology provides an alternative path toward a more practical protocol for PEV charging.