Coordinated control of automated devices and photovoltaic generators for voltage rise mitigation in power distribution circuits

被引:34
作者
Jung, Jaesung [1 ]
Onen, Ahmet [1 ]
Arghandeh, Reza [2 ]
Broadwater, Robert P. [1 ]
机构
[1] Virginia Polytech Inst & State Univ, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[2] Univ Calif Berkeley, Calif Inst Energy & Environm, Berkeley, CA 94720 USA
关键词
Power distribution control; Coordinated control; Reactive power control; Voltage control; Centralized control; PV generation; DISTRIBUTION-SYSTEMS; ENERGY-STORAGE;
D O I
10.1016/j.renene.2013.12.039
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
A coordinating, model-centric control strategy for mitigating voltage rise problems due to photovoltaic (PV) penetration into power distribution circuits is presented. The coordinating control objective is to maintain an optimum circuit voltage distribution and voltage schedule, where the optimum circuit operation is determined without PV generation on the circuit. In determining the optimum circuit voltage distribution and voltage schedule, the control strategy schedules utility controls, such as switched capacitor banks and voltage regulators, separate from PV inverter controls. Optimization addresses minimizing circuit losses and motion of utility controls. The coordinating control action provides control set-points to the PV inverters that are a function of the circuit loading or time-of-day and also the location of the PV inverter. Three PV penetration scenarios are considered, 10%, 20%, and 30%. Baselines with and without coordinating controls for circuit performance without PV generation are established, and these baselines are compared against the three PV penetration scenarios with and without coordinating control. Simulation results are compared and differences in voltage variations and circuit losses are considered along with differences in utility control motion. Results show that the coordinating control can solve the voltage rise problem while minimizing circuit losses and reducing utility control motion. The coordinating control will work with existing PV inverter controls that accept control set-points without having to modify the inverter controls. (C) 2014 Elsevier Ltd. All rights reserved.
引用
收藏
页码:532 / 540
页数:9
相关论文
共 24 条
  • [1] Alatrash H, 2012, 2012 IEEE GREEN TECH
  • [2] American National Standard Institute Inc., 2006, C841 ANSI INC
  • [3] [Anonymous], 22 EUR PHOT SOL EN C
  • [4] Estimating substation peaks from load research data
    Broadwater, RP
    Sargent, A
    Yarali, A
    Shaalan, HE
    Nazarko, J
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 1997, 12 (01) : 451 - 456
  • [5] Can PV plants provide a reactive power ancillary service? A treat offered by an on-line controller
    Cagnano, A.
    Torelli, F.
    Alfonzetti, F.
    De Tuglie, E.
    [J]. RENEWABLE ENERGY, 2011, 36 (03) : 1047 - 1052
  • [6] Control strategies and configurations of hybrid distributed generation systems
    Carmeli, Maria Stefania
    Castelli-Dezza, Francesco
    Mauri, Marco
    Marchegiani, Gabriele
    Rosati, Daniele
    [J]. RENEWABLE ENERGY, 2012, 41 : 294 - 305
  • [7] Distributed reactive power generation control for voltage rise mitigation in distribution networks
    Carvalho, Pedro M. S.
    Correia, Pedro F.
    Ferreira, Luis A. F. M.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2008, 23 (02) : 766 - 772
  • [8] Configurable, Hierarchical, Model-Based Control of Electrical Distribution Circuits
    Hambrick, Joshua
    Broadwater, Robert P.
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2011, 26 (03) : 1072 - 1079
  • [9] Optimal VAR Control Considering Wind Farms Using Probabilistic Load-Flow and Gray-Based Genetic Algorithms
    Hong, Ying-Yi
    Luo, Yi-Feng
    [J]. IEEE TRANSACTIONS ON POWER DELIVERY, 2009, 24 (03) : 1441 - 1449
  • [10] Monte Carlo analysis of Plug-in Hybrid Vehicles and Distributed Energy Resource growth with residential energy storage in Michigan
    Jung, Jaesung
    Cho, Yongju
    Cheng, Danling
    Onen, Ahmet
    Arghandeh, Reza
    Dilek, Murat
    Broadwater, Robert P.
    [J]. APPLIED ENERGY, 2013, 108 : 218 - 235