Distributed Optimal Power Flow in Hybrid AC-DC Grids

被引:42
|
作者
Meyer-Huebner, Nico [1 ]
Suriyah, Michael [1 ]
Leibfried, Thomas [1 ]
机构
[1] Karlsruhe Inst Technol, Inst Elect Energy Syst & High Voltage Technol, D-76131 Karlsruhe, Germany
关键词
Distributed optimal power flow; multi-area optimal power flow; AC-DC grid; ADMM; ALADIN; IMPLEMENTATION; OPTIMIZATION; ALGORITHM; NEWTON;
D O I
10.1109/TPWRS.2019.2892240
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
Distributed or multi-area optimal power flow (OPF) in alternating current (AC) grids is currently a subject undergoing intense study to cope with computational burdens in large-scale grids and to maintain self-control of a regional system operator. However, future power grids will most likely be hybrid grids consisting of the conventional AC transmission system combined with high voltage direct current (DC) technology. Thus, we reformulate the full AC-DC OPF problem such that it becomes separable and, therefore, accessible to distributed algorithms. Then, we show in detail two different approaches on the decomposition of a hybrid AC-DC grid. Finally, we implement an improved alternating direction of multipliers method (ADMM) as well as the most recently proposed augmented Lagrangian based alternating direction inexact Newton (ALADIN) method. Simulation results show that optimality gaps below 0.01% are reached with both decomposition approaches and algorithms for two different test systems (5-bus and 66-bus). Furthermore, convergence rates and wall clock times are reduced by around one order of magnitude from ADMM to ALADIN.
引用
收藏
页码:2937 / 2946
页数:10
相关论文
共 50 条
  • [1] Semidefinite Relaxation of Optimal Power Flow for AC-DC Grids
    Bahrami, Shahab
    Therrien, Francis
    Wong, Vincent W. S.
    Jatskevich, Juri
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2017, 32 (01) : 289 - 304
  • [2] Optimal Power Flow Modelling and Analysis of Hybrid AC-DC Grids with Offshore Wind Power Plant
    Dhua, Debasish
    Huang, Shaojun
    Wu, Qiuwei
    [J]. POWER AND ENERGY SYSTEMS ENGINEERING, (CPESE 2017), 2017, 141 : 572 - 579
  • [3] Optimal Power Flow in AC-DC Grids With Discrete Control Devices
    Yang, Zhifang
    Zhong, Haiwang
    Bose, Anjan
    Xia, Qing
    Kang, Chongqing
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (02) : 1461 - 1472
  • [4] Distributed Power Flow for Multi-region Power Grids with Hybrid AC-DC Tie-lines
    Ren, Zhengwei
    Chen, Ying
    Huang, Shaowei
    Zhang, Lu
    [J]. 2018 INTERNATIONAL CONFERENCE ON POWER SYSTEM TECHNOLOGY (POWERCON), 2018, : 2845 - 2851
  • [5] Optimal Power Flow for AC-DC Networks
    Bahrami, Shahab
    Wong, Vincent W. S.
    Jatskevich, Juri
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON SMART GRID COMMUNICATIONS (SMARTGRIDCOMM), 2014, : 49 - 54
  • [6] Distributed AC-DC Optimal Power Flow in the European Transmission Grid with ADMM
    Huebner, Nico
    Rink, Yannick
    Suriyah, Michael
    Leibfried, Thomas
    [J]. 2020 55TH INTERNATIONAL UNIVERSITIES POWER ENGINEERING CONFERENCE (UPEC), 2020,
  • [7] Optimal Power Flow for AC-DC Grids: Formulation, Convex Relaxation, Linear Approximation, and Implementation
    Ergun, Hakan
    Dave, Jaykumar
    Van Hertem, Dirk
    Geth, Frederik
    [J]. 2020 IEEE POWER & ENERGY SOCIETY GENERAL MEETING (PESGM), 2020,
  • [8] Optimal Power Flow for AC-DC Grids: Formulation, Convex Relaxation, Linear Approximation, and Implementation
    Ergun, Hakan
    Dave, Jaykumar
    Van Hertem, Dirk
    Geth, Frederik
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2019, 34 (04) : 2980 - 2990
  • [9] Study of multi-objective optimal power flow of AC-DC hybrid system with DC power flow controller
    Li G.
    Wang H.
    Wang Z.
    Wang H.
    Fang Y.
    [J]. Dianli Xitong Baohu yu Kongzhi/Power System Protection and Control, 2019, 47 (15): : 124 - 132
  • [10] Supervised control of hybrid AC-DC grids for power balance restoration
    Bonassi, Fabio
    La Bella, Alessio
    Lazzari, Riccardo
    Sandroni, Carlo
    Scattolini, Riccardo
    [J]. ELECTRIC POWER SYSTEMS RESEARCH, 2021, 196