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New Second-Order Sliding Mode Control Design for Load Frequency Control of a Power System

Author

Listed:
  • Van Van Huynh

    (Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam)

  • Phong Thanh Tran

    (Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam)

  • Bui Le Ngoc Minh

    (Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 700000, Vietnam)

  • Anh Tuan Tran

    (Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam)

  • Dao Huy Tuan

    (Faculty of Electrical & Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam)

  • Tam Minh Nguyen

    (Faculty of Electrical and Electronics Engineering, Ho Chi Minh City University of Technology and Education, Ho Chi Minh City 700000, Vietnam)

  • Phan-Tu Vu

    (Department of Power Systems of Ho Chi Minh City University of Technology, Vietnam National University, Ho Chi Minh City 700000, Vietnam)

Abstract

The implementation of the sliding mode control (SMC) for load frequency control of power networks becomes difficult due to the chattering phenomenon of high-frequency switching. This chattering problem in SMC is extremely dangerous for actuators used in power systems. In this paper, a continuous control strategy by combining a second-order mode and integral siding surface is proposed as a possible solution to this problem. The proposed second-order integral sliding mode control (SOISMC) law not only rejects chattering phenomenon in control input, but also guarantees the robustness of the multi-area power network, which has an effect on parametric uncertainties such as the load variations and the matched or mismatched parameter uncertainties. Moreover, the reporting of the simulation indicates that the proposed controller upholds the quality requirement by controlling with operating conditions in the larger range, rejects disturbance, reduces the transient response of frequency, eliminates the overshoot problem, and can better address load uncertainties compared to several previous control methods. The simulation results also show that the proposed SOISMC can be used for practical multi-area power network to lessen high parameter uncertainties and load disturbances.

Suggested Citation

  • Van Van Huynh & Phong Thanh Tran & Bui Le Ngoc Minh & Anh Tuan Tran & Dao Huy Tuan & Tam Minh Nguyen & Phan-Tu Vu, 2020. "New Second-Order Sliding Mode Control Design for Load Frequency Control of a Power System," Energies, MDPI, vol. 13(24), pages 1-21, December.
    • Handle: RePEc:gam:jeners:v:13:y:2020:i:24:p:6509-:d:459496
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    References listed on IDEAS

    as
    1. Bui Le Ngoc Minh & Van Van Huynh & Tam Minh Nguyen & Yao Wen Tsai, 2018. "Decentralized Adaptive Double Integral Sliding Mode Controller for Multi-Area Power Systems," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-11, October.
    2. Adelhard Beni Rehiara & Naoto Yorino & Yutaka Sasaki & Yoshifumi Zoka, 2020. "An Adaptive Load Frequency Control Based on Least Square Method," Chapters, in: Amir Ebrahimi (ed.), Advances in Modelling and Control of Wind and Hydrogenerators, IntechOpen.
    3. Guo-Qiang Zeng & Xiao-Qing Xie & Min-Rong Chen, 2017. "An Adaptive Model Predictive Load Frequency Control Method for Multi-Area Interconnected Power Systems with Photovoltaic Generations," Energies, MDPI, vol. 10(11), pages 1-23, November.
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    Citations

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    Cited by:

    1. Anh-Tuan Tran & Bui Le Ngoc Minh & Van Van Huynh & Phong Thanh Tran & Emmanuel Nduka Amaefule & Van-Duc Phan & Tam Minh Nguyen, 2021. "Load Frequency Regulator in Interconnected Power System Using Second-Order Sliding Mode Control Combined with State Estimator," Energies, MDPI, vol. 14(4), pages 1-17, February.
    2. Mokhtar Shouran & Fatih Anayi & Michael Packianather, 2021. "The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System," Energies, MDPI, vol. 14(18), pages 1-29, September.

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