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Volume 9 Issue 11
Nov.  2022

IEEE/CAA Journal of Automatica Sinica

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Article Navigation >  IEEE/CAA Journal of Automatica Sinica  > 2022  >  9(11): 1980-1989
Z. W. Deng and C. Xu, “Frequency regulation of power systems with a wind farm by sliding-mode-based design,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 11, pp. 1980–1989, Nov. 2022. doi: 10.1109/JAS.2022.105407
Citation: Z. W. Deng and C. Xu, “Frequency regulation of power systems with a wind farm by sliding-mode-based design,” IEEE/CAA J. Autom. Sinica, vol. 9, no. 11, pp. 1980–1989, Nov. 2022. doi: 10.1109/JAS.2022.105407
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Frequency Regulation of Power Systems With a Wind Farm by Sliding-Mode-Based Design

doi: 10.1109/JAS.2022.105407

  • College of Water Conservancy and Hydropower Engineering, Hohai University, Nanjing 210098, China

Funds:  This work was supported by Ministry of Science and Technology of Peoples Republic of China (2019YFE0104800) and the Joint Funds of the National Natural Science Foundation of China (U1865101)
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    Abstract
  • Load frequency regulation is an essential auxiliary service used in dealing with the challenge of frequency stability in power systems that utilize an increasing proportion of wind power. We investigate a load frequency control method for multi-area interconnected power systems integrated with wind farms, aimed to eliminate the frequency deviation in each area and the tie-line power deviation between different areas. The method explores the derivative and integral terminal sliding mode control technology to solve the problem of load frequency regulation. Such technology employs the concept of relative degrees. However, the subsystems of wind-integrated interconnected power systems have different relative degrees, complicating the control design. This study develops the derivative and integral terminal sliding-mode-based controllers for these subsystems, realizing the load frequency regulation. Meanwhile, closed-loop stability is guaranteed with the theory of Lyapunov stability. Moreover, both a thermal power system and a wind power system are applied to provide frequency support in this study. Considering both constant and variable external disturbances, several numerical simulations were carried out in a two-area thermal power system with a wind farm. The results demonstrate the validity and feasibility of the developed method.

     

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  • [1]
    Z. Wang and W. Wu, “Coordinated control method for DFIG-based wind farm to provide primary frequency regulation service,” IEEE Trans. Power Systems, vol. 33, no. 3, pp. 2644–2659, May 2018. doi: 10.1109/TPWRS.2017.2755685
    [2]
    D. Qian and G. Fan, “Neural-network-based terminal sliding mode control for frequency stabilization of renewable power systems,” IEEE/CAA J. Autom. Sinica, vol. 5, no. 3, pp. 706–717, May 2018. doi: 10.1109/JAS.2018.7511078
    [3]
    N. Nguyen and J. Mitra, “An analysis of the effects and dependency of wind power penetration on system frequency regulation,” IEEE Trans. Sustainable Energy, vol. 7, no. 1, pp. 354–363, Nov. 2015.
    [4]
    N. Nguyen and J. Mitra, “Reliability of power system with high wind penetration under frequency stability constraint,” IEEE Trans. Power Systems, vol. 33, no. 1, pp. 985–994, Jan. 2018. doi: 10.1109/TPWRS.2017.2707475
    [5]
    M. F. M. Arani and Y. A. I. Mohamed, “Dynamic droop control for wind turbines participating in primary frequency regulation in microgrids,” IEEE Trans. Smart Grid, vol. 9, no. 6, pp. 5742–5751, Nov. 2018. doi: 10.1109/TSG.2017.2696339
    [6]
    M. M. D. Amadou, H. Mehrjerdi, M. Saad, and D. Asber, “Improving participation of doubly fed induction generator in frequency regulation in an isolated power system,” Int. Journal of Electrical Power &Energy Systems, vol. 100, pp. 550–558, 2018.
    [7]
    Y. Wu, W. Yang, Y. Hu, and P. Q. Dzung, “Frequency regulation at a wind farm using time-varying inertia and droop controls,” IEEE Trans. Industry Applications, vol. 55, no. 1, pp. 213–224, Jan.–Feb. 2019. doi: 10.1109/TIA.2018.2868644
    [8]
    J. Morren, S. W. H. D. Haan, W. L. King, and J. A. Ferreira, “Wind turbines emulating inertia and supporting primary frequency control,” IEEE Trans. Power Systems,vol, vol. 21, no. 1, pp. 433–434, Feb. 2006. doi: 10.1109/TPWRS.2005.861956
    [9]
    Z. Yang, F. Lin, Z. Wang, L. Sun, and Q. Xu, “An overview of control strategies for frequency regulation in wind power generation,” in Proc. 10th Int. Conf. Advances in Power System Control, Operation & Management, Hong Kong, China, 2015, pp. 1–6.
    [10]
    M. Altin, A. D. Hansen, T. K. Barlas, K. Das, and J. N. Sakamuri, “Optimization of short-term overproduction response of variable speed wind turbines,” IEEE Trans. Sustainable Energy, vol. 9, no. 4, pp. 1732–1739, Oct. 2018. doi: 10.1109/TSTE.2018.2810898
    [11]
    D. Lamsal, V. Sreeram, Y. Mishra, and D. Kumar, “Output power smoothing control approaches for wind and photovoltaic generation systems: A review,” Renewable and Sustainable Energy Reviews, vol. 113, pp. 433–443, Oct. 2019.
    [12]
    M. Kheshti, L. Ding, M. Nayeripour, X. Wang, and V. Terzija, “Active power support of wind turbines for grid frequency events using a reliable power reference scheme,” Renewable Energy, vol. 139, pp. 1241–1254, 2019. doi: 10.1016/j.renene.2019.03.016
    [13]
    Z. Yan and Y. Xu, “Data-driven load frequency control for stochastic power systems: A deep reinforcement learning method with continuous action search,” IEEE Trans. Power Systems, vol. 34, no. 2, pp. 1653–1656, Mar. 2019. doi: 10.1109/TPWRS.2018.2881359
    [14]
    A. Azarbahram, A. Amini, and M. Sojoodi, “Resilient fixed-order distributed dynamic output feedback load frequency control design for interconnected multi-area power systems,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 5, pp. 1139–1151, 2019. doi: 10.1109/JAS.2019.1911687
    [15]
    H. A. Yousef, K. AL-Kharusi, M. H. Albadi, and N. Hosseinzadeh, “Load frequency control of a multi-area power system: An adaptive fuzzy logic approach,” IEEE Trans. Power Systems, vol. 29, no. 4, pp. 1822–1830, Jul. 2014. doi: 10.1109/TPWRS.2013.2297432
    [16]
    X. Zhao, S. Zou, and Z. Ma, “Decentralized resilient H∞ load frequency control for cyber-physical power systems under DoS attacks,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 11, pp. 1737–1751, Nov. 2021. doi: 10.1109/JAS.2021.1004162
    [17]
    M. J. Morshed, “A nonlinear coordinated approach to enhance the transient stability of wind energy-based power systems,” IEEE/CAA J. Autom. Sinica, vol. 7, no. 4, pp. 1087–1097, 2020. doi: 10.1109/JAS.2020.1003255
    [18]
    X. Wang, Y. Wang, and Y. Liu, “Dynamic load frequency control for high-penetration wind power considering wind turbine fatigue load,” Int. Journal of Electrical Power and Energy Systems, vol. 17, May 2020.
    [19]
    A. Behera, T. K. Panigrahi, P. K. Ray, and A. K. Sahoo, “A novel cascaded PID controller for automatic generation control analysis with renewable sources,” IEEE/CAA J. Autom. Sinica, vol. 6, no. 6, pp. 151–164, 2019.
    [20]
    B. Yang, T. Yu, H. Shu, Y. Zhang, J. Chen, Y. Sang, and L. Jiang, “Passivity-based sliding-mode control design for optimal power extraction of a PMSG based variable speed wind turbine,” Renewable Energy, vol. 119, pp. 577–589, Apr. 2018. doi: 10.1016/j.renene.2017.12.047
    [21]
    A. Polyakov and A. Poznyak, “Reaching time estimation for ‘super-twisting’ second order sliding mode controller via Lyapunov function designing,” IEEE Trans. Automatic Control, vol. 54, no. 8, pp. 1951–1955, Aug. 2009. doi: 10.1109/TAC.2009.2023781
    [22]
    M. Basin, C. B. Panathula, and Y. Shtessel, “Continuous second-order sliding mode control: Convergence time estimation,” in Proc. 54th IEEE Conf. Decision and Control, Osaka, Japan, 2015, pp. 5408–5413.
    [23]
    J. Guo, “Application of a novel adaptive sliding mode control method to the load frequency control,” European Journal of Control, vol. 57, pp. 172–178, Jan. 2021. doi: 10.1016/j.ejcon.2020.03.007
    [24]
    B. Ning, Q.-L. Han, and L. Ding, “Distributed secondary control of AC microgrids with external disturbances and directed communication topologies: A full-order sliding-mode approach,” IEEE/CAA J. Autom. Sinica, vol. 8, no. 3, pp. 554–564, Mar. 2021. doi: 10.1109/JAS.2020.1003315
    [25]
    S. Prasad, S. Purwar, and N. Kishor, “H-infinity based non-linear sliding mode controller for frequency regulation in interconnected power systems with constant and time-varying delays,” IET Generation Transmission &Distribution, vol. 10, no. 11, pp. 2771–2784, Aug. 2016.
    [26]
    J. Guo, “Application of full order sliding mode control based on different areas power system with load frequency control,” ISA Transactions, vol. 92, pp. 23–34, 2019. doi: 10.1016/j.isatra.2019.01.036
    [27]
    M. Yang, Y. Song, Y. Fu, X. Su, C. Wang, and J. Wang, “Frequency and voltage coordinated control for isolated wind-diesel power system based on adaptive sliding mode and disturbance observer,” IEEE Trans. Sustainable Energy, vol. 10, no. 4, pp. 2075–2083, Oct. 2019. doi: 10.1109/TSTE.2018.2878470
    [28]
    D. Qian, S. Tong, H. Liu, and X. Liu, “Load frequency control by neural-network-based integral sliding mode for nonlinear power systems with wind turbines,” Neurocomputing, vol. 173, no. 3, pp. 875–885, Jan. 2016.
    [29]
    S. Prasad, S. Purwar, and N. Kishor, “Non-linear sliding mode control for frequency regulation with variable-speed wind turbine systems,” Int. Journal of Electrical Power and Energy Systems, vol. 107, pp. 19–33, May 2019. doi: 10.1016/j.ijepes.2018.11.005
    [30]
    Y. Sun, Y. Wang, Z. Wei, G. Sun, and X. Wu, “Robust H∞ load frequency control of multi-area power system with time delay: A sliding mode control approach,” IEEE/CAA J. Autom. Sinica, vol. 5, no. 2, pp. 610–617, Mar. 2018. doi: 10.1109/JAS.2017.7510649
    [31]
    A. Bagheri, A. Jabbari, and S. Mobayen, “An intelligent ABC-based terminal sliding mode controller for load-frequency control of islanded micro-grids,” Sustainable Cities and Society, vol. 64, Jan. 2021.
    [32]
    C. S. Chiu, “Derivative and integral terminal sliding mode control for a class of MIMO nonlinear systems,” Automatica, vol. 48, no. 2, pp. 316–326, Feb. 2012. doi: 10.1016/j.automatica.2011.08.055
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    Highlights

    • A load frequency control (LFC) method based on the derivative and integral terminal sliding mode technology is investigated for multi-area interconnected power systems integrated with wind power. This method guarantees the system with finite-time convergence and avoids the singularity problem during the control design process
    • Considering the flexibility of wind power regulation, wind generators are also applied to provide frequency support by adopting a wind power system model based on the mechanical dynamics of variable speed wind turbines (VSWTs)
    • Numerical simulations are carried out, which indicated that the proposed LFC method has the advantages of fast convergence and small oscillation. Moreover, effective frequency regulation and strong robustness are achieved under external disturbances

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