Coordinated EV Aggregation Management via Alternating Direction Method of Multipliers

被引：7
|
作者：
Afshar, Shahab [1 ]
Wasti, Shailesh [1 ]
Disfani, Vahid [1 ]
机构：
[1] Univ Tennessee, ConnectSmart Res Lab, Chattanooga, TN 37403 USA
来源：
2020 INTERNATIONAL CONFERENCE ON SMART GRIDS AND ENERGY SYSTEMS (SGES 2020) | 2020年
关键词：
ADMM; aggregator; decentralized control; distributed optimization; electric vehicle; mixed integer programming;
D O I：
10.1109/SGES51519.2020.00162
中图分类号：
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号：
0807 ; 0820 ;
摘要：
Electric vehicle (EV) aggregation can significantly influence the EVs charging/discharging behavior. In this paper, we use a distributed algorithm based on the alternating direction method of multipliers (ADMM) to coordinate EV charging and discharging procedures for EVs with vehicle-to-grid (V2G) capabilities. The optimization model is formulated as a mixed-integer quadratic programming (MIQP) problem to consider the efficiency of EV batteries and different energy prices in both charging and discharging processes. Numerical tests using real-world data confirms that the implemented method allows obtaining both the electric vehicle aggregator (EVA) and individual EV goals while considering the power grid and each EV constraints. Moreover, we show the significant impact of our model on the final demand profile and computation time.
引用
收藏
页码：882 / 887
页数：6
相关论文
共 50 条
  • [1] Phase Retrieval via the Alternating Direction Method of Multipliers
    Liang, Junli
    Stoica, Petre
    Jing, Yang
    Li, Jian
    IEEE SIGNAL PROCESSING LETTERS, 2018, 25 (01) : 5 - 9
  • [2] Sparse feedback synthesis via the alternating direction method of multipliers
    Lin, Fu
    Fardad, Makan
    Jovanovic, Mihailo R.
    2012 AMERICAN CONTROL CONFERENCE (ACC), 2012, : 4765 - 4770
  • [3] Simultaneous Declipping and Beamforming via Alternating Direction Method of Multipliers
    Masuyama, Yoshiki
    Tanaka, Tomoro
    Yatabe, Kohei
    Kusano, Tsubasa
    Oikawa, Yasuhiro
    29TH EUROPEAN SIGNAL PROCESSING CONFERENCE (EUSIPCO 2021), 2021, : 316 - 320
  • [4] Robust ellipse fitting via alternating direction method of multipliers
    Liang, Junli
    Li, Pengliang
    Zhou, Deyun
    So, H. C.
    Liu, Ding
    Leung, Chi-Sing
    Sui, Liansheng
    SIGNAL PROCESSING, 2019, 164 : 30 - 40
  • [5] Image restoration via robust alternating direction method of multipliers
    Wu Y.
    Zeng X.
    Zhou D.
    Liu Y.
    Zhou J.
    Zhou J.
    Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology, 2018, 40 (02): : 112 - 118
  • [6] Efficient Tomosynthesis Reconstruction Via Alternating Direction Method of Multipliers
    Huang, J.
    Li, B.
    Wu, S.
    Qi, H.
    Ma, J.
    Ding, Z.
    Qin, G.
    Zhou, L.
    Xu, Y.
    MEDICAL PHYSICS, 2018, 45 (06) : E555 - E555
  • [7] Distributed Event Localization via Alternating Direction Method of Multipliers
    Zhang, Chunlei
    Wang, Yongqiang
    IEEE TRANSACTIONS ON MOBILE COMPUTING, 2018, 17 (02) : 348 - 361
  • [8] Fourier Ptychographic Microscopy via Alternating Direction Method of Multipliers
    Wang, Aiye
    Zhang, Zhuoqun
    Wang, Siqi
    Pan, An
    Ma, Caiwen
    Yao, Baoli
    CELLS, 2022, 11 (09)
  • [9] An Inertial Alternating Direction Method of Multipliers
    Bot, Radu Ioan
    Csetnek, Ernoe Robert
    MINIMAX THEORY AND ITS APPLICATIONS, 2016, 1 (01): : 29 - 49
  • [10] Parallel alternating direction method of multipliers
    Yan, Jiaqi
    Guo, Fanghong
    Wen, Changyun
    Li, Guoqi
    INFORMATION SCIENCES, 2020, 507 : 185 - 196
12345