Model-free control for frequency response support in microgrids utilizing wind turbines 1

被引:17
作者
Park, Byungkwon [1 ]
Zhang, Yichen [2 ]
Olama, Mohammed [1 ]
Kuruganti, Teja [1 ]
机构
[1] Oak Ridge Natl Lab, Computat Sci & Engn Div, POB 2009, Oak Ridge, TN 37831 USA
[2] Argonne Natl Lab, Energy Syst Div, Lemont, IL 60439 USA
关键词
Microgrids; Model-free control; Model reference concept; Inertia emulation; Primary frequency control; INERTIAL RESPONSE; FRAMEWORK;
D O I
10.1016/j.epsr.2021.107080
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
Islanded microgrids integrated with renewable energy resources bring additional challenges to the primary frequency control due to their power-electronic interfaced generations. Developing an efficient control strategy for inertia emulation and frequency response support of microgrids is becoming an important issue. Wind turbine dynamics, however, will degrade the emulated inertial and primary responses with most traditional control strategies. On the other hand, compensation methods often require the knowledge of system models at the design stage and state estimation for feedback once deployed online. To overcome these challenges, this paper explores a model-free control (MFC) strategy to emulate the desired inertia and support the frequency response of a diesel-wind microgrid system. The proposed MFC strategy utilizes a model reference concept to obtain guaranteed inertial response and improve the frequency response of microgrids. This work considers different control strategies with different operating points. The proposed controller is implemented and verified using the modified 33-bus full nonlinear model of the three-phase diesel-wind system in Simulink. Simulation results demonstrate the improved frequency response by precisely emulating the desired inertia using the MFC strategy.
引用
收藏
页数:10
相关论文
共 37 条
  • [21] Frequency Regulation Contribution Through Variable-Speed Wind Energy Conversion Systems
    Manuel Mauricio, Juan
    Marano, Alejandro
    Gomez-Exposito, Antonio
    Martinez Ramos, Jose Luis
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2009, 24 (01) : 173 - 180
  • [22] Wind turbines emulating inertia and supporting primary frequency control
    Morren, J
    de Haan, SWH
    Kling, WL
    Ferreira, JA
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2006, 21 (01) : 433 - 434
  • [23] The inertial response of induction-machine-based wind turbines
    Mullane, A
    O'Malley, M
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2005, 20 (03) : 1496 - 1503
  • [24] Trends in Microgrid Control
    Olivares, Daniel E.
    Mehrizi-Sani, Ali
    Etemadi, Amir H.
    Canizares, Claudio A.
    Iravani, Reza
    Kazerani, Mehrdad
    Hajimiragha, Amir H.
    Gomis-Bellmunt, Oriol
    Saeedifard, Maryam
    Palma-Behnke, Rodrigo
    Jimenez-Estevez, Guillermo A.
    Hatziargyriou, Nikos D.
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2014, 5 (04) : 1905 - 1919
  • [25] Park B., 2020, IEEE T SMART GRID
  • [26] Energy Storage System Control for Prevention of Transient Under-Frequency Load Shedding
    Pulendran, Shuthakini
    Tate, Joseph Euzebe
    [J]. IEEE TRANSACTIONS ON SMART GRID, 2017, 8 (02) : 927 - 936
  • [27] Analytical Method to Aggregate Multi-Machine SFR Model With Applications in Power System Dynamic Studies
    Shi, Qingxin
    Li, Fangxing
    Cui, Hantao
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (06) : 6355 - 6367
  • [28] Singh M, 2014, P IEEE S POW EL MACH
  • [29] General model for representing variable speed wind turbines in power system dynamics simulations
    Slootweg, JG
    de Haan, SWH
    Polinder, H
    Kling, WL
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2003, 18 (01) : 144 - 151
  • [30] Modeling of DFIG-Based Wind Turbine for Power System Transient Response Analysis in Rotor Speed Control Timescale
    Tang, Wangqianyun
    Hu, Jiabing
    Chang, Yuanzhu
    Liu, Feng
    [J]. IEEE TRANSACTIONS ON POWER SYSTEMS, 2018, 33 (06) : 6795 - 6805