@inproceedings{c2c328b6a8cd4ca59b5584e0b30824d9,
title = "ADMM-Based Decentralized Charging Control of Plug-In Electric Vehicles with Coupling Constraints in Distribution Networks",
abstract = "The charging behaviors of large-scale plug-in electric vehicles (PEVs) may negatively impact the power distribution networks by causing the significant drop of the voltages. In this paper, we design a decentralized PEV charging coordination method based on the so-called alternating direction method of multipliers (ADMM) to solve the underlying optimization problems with non-separable objective function and coupled constraints. By applying the proposed method, the generic high-dimension complicated problem is solved in a decentralized manner such that each individual PEV can independently update its own best strategy. We demonstrate the optimality and convergence of the proposed method with certain numerical simulations.",
keywords = "ADMM, Coupling constraints, Decentralized method, Plug-in electric vehicles, Valley-filling",
author = "Xu Zhou and Peng Wang and Zhigang Gao",
note = "Publisher Copyright: {\textcopyright} 2018 Technical Committee on Control Theory, Chinese Association of Automation.; 37th Chinese Control Conference, CCC 2018 ; Conference date: 25-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "5",
doi = "10.23919/ChiCC.2018.8483082",
language = "English",
series = "Chinese Control Conference, CCC",
publisher = "IEEE Computer Society",
pages = "2512--2517",
editor = "Xin Chen and Qianchuan Zhao",
booktitle = "Proceedings of the 37th Chinese Control Conference, CCC 2018",
address = "United States",
}