Voltage Regulation Algorithms for Multiphase Power Distribution Grids

被引:88
作者
Kekatos, Vassilis [1 ]
Zhang, Liang [2 ,3 ]
Giannakis, Georgios B. [2 ,3 ]
Baldick, Ross [4 ]
机构
[1] Virginia Tech, Dept Elect & Comp Engn, Blacksburg, VA 24060 USA
[2] Univ Minnesota, Digital Technol Ctr, Minneapolis, MN 55455 USA
[3] Univ Minnesota, Dept Elect & Comp Engn, Minneapolis, MN 55455 USA
[4] Univ Texas Austin, Dept Elect & Comp Engn, Austin, TX 78712 USA
基金
美国国家科学基金会;
关键词
Accelerated proximal gradient; linear distribution flow model; PV inverters; three-phase distribution grids; REACTIVE POWER; FLOW; CAPACITORS;
D O I
10.1109/TPWRS.2015.2493520
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Time-varying renewable energy generation can result in serious under-/over-voltage conditions in future distribution grids. Augmenting conventional utility-owned voltage regulating equipment with the reactive power capabilities of distributed generation units is a viable solution. Local control options attaining global voltage regulation optimality at fast convergence rates is the goal here. In this context, novel reactive power control rules are analyzed under a unifying linearized grid model. For single-phase grids, our proximal gradient scheme has computational complexity comparable to that of the rule suggested by the IEEE 1547.8 standard, but it enjoys well-characterized convergence guarantees. Furthermore, adding memory to the scheme results in accelerated convergence. For three-phase grids, it is shown that reactive power injections have a counter-intuitive effect on bus voltage magnitudes across phases. Nevertheless, when our control scheme is applied to unbalanced conditions, it is shown to reach an equilibrium point. Numerical tests using the IEEE 13-bus, the IEEE 123-bus, and a Southern California Edison 47-bus feeder with increased renewable penetration verify the properties of the schemes and their resiliency to grid topology reconfigurations.
引用
收藏
页码:3913 / 3923
页数:11
相关论文
共 32 条
  • [21] Kekatos V., 2015, P IEEE INT C SMART G
  • [22] Kersting W., 2001, Distribution system modeling and analysis
  • [23] Li N, 2014, ANN ALLERTON CONF, P582, DOI 10.1109/ALLERTON.2014.7028508
  • [24] Nesterov Y., 2018, Introductory lectures on convex optimization: A basic course
  • [25] Parikh Neal, 2014, Foundations and Trends in Optimization, V1, P127, DOI 10.1561/2400000003
  • [26] Peng QY, 2014, IEEE DECIS CONTR P, P167, DOI 10.1109/CDC.2014.7039376
  • [27] A Two-Stage Distributed Architecture for Voltage Control in Power Distribution Systems
    Robbins, Brett A.
    Hadjicostis, Christoforos N.
    Dominguez-Garcia, Alejandro D.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2013, 28 (02) : 1470 - 1482
  • [28] An Authenticated Control Framework for Distributed Voltage Support on the Smart Grid
    Rogers, Katherine M.
    Klump, Ray
    Khurana, Himanshu
    Aquino-Lugo, Angel A.
    Overbye, Thomas J.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2010, 1 (01) : 40 - 47
  • [29] Optimal Distributed Control of Reactive Power Via the Alternating Direction Method of Multipliers
    Sulc, Petr
    Backhaus, Scott
    Chertkov, Michael
    [J]. IEEE TRANSACTIONS ON ENERGY CONVERSION, 2014, 29 (04) : 968 - 977
  • [30] Options for Control of Reactive Power by Distributed Photovoltaic Generators
    Turitsyn, Konstantin
    Sulc, Petr
    Backhaus, Scott
    Chertkov, Michael
    [J]. PROCEEDINGS OF THE IEEE, 2011, 99 (06) : 1063 - 1073