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The Bees Algorithm Tuned Sliding Mode Control for Load Frequency Control in Two-Area Power System

Author

Listed:
  • Mokhtar Shouran

    (Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Fatih Anayi

    (Wolfson Centre for Magnetics, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Michael Packianather

    (High Value Manufacturing Group, School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

Abstract

This paper proposes a design of Sliding Mode Control (SMC) for Load Frequency Control (LFC) in a two-area electrical power system. The mathematical model design of the SMC is derived based on the parameters of the investigated system. In order to achieve the optimal use of the proposed controller, an optimisation tool called the Bees Algorithm (BA) is suggested in this work to tune the parameters of the SMC. The dynamic performance of the power system with SMC employed for LFC is studied by applying a load disturbance of 0.2 pu in area one. To validate the supremacy of the proposed controller, the results are compared with those of recently published works based on Fuzzy Logic Control (FLC) tuned by Teaching–Learning-Based Optimisation (TLBO) algorithm and the traditional PID optimised by Lozi map-based Chaotic Optimisation Algorithm (LCOA). Furthermore, the robustness of SMC-based BA is examined against parametric uncertainties of the electrical power system by simultaneous changes in certain parameters of the testbed system with 40% of their nominal values. Simulation results prove the superiority and the robustness of the proposed SMC as an LFC system for the investigated power system.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:14:y:2021:i:18:p:5701-:d:632897
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    References listed on IDEAS

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    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. 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.
    3. Hassan Haes Alhelou & Mohamad-Esmail Hamedani-Golshan & Reza Zamani & Ehsan Heydarian-Forushani & Pierluigi Siano, 2018. "Challenges and Opportunities of Load Frequency Control in Conventional, Modern and Future Smart Power Systems: A Comprehensive Review," Energies, MDPI, vol. 11(10), pages 1-35, September.
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    Cited by:

    1. Mohammed Alharbi & Muhammad Ragab & Kareem M. AboRas & Hossam Kotb & Masoud Dashtdar & Mokhtar Shouran & Elmazeg Elgamli, 2023. "Innovative AVR-LFC Design for a Multi-Area Power System Using Hybrid Fractional-Order PI and PIDD 2 Controllers Based on Dandelion Optimizer," Mathematics, MDPI, vol. 11(6), pages 1-45, March.
    2. Mohamed Naji Muftah & Ahmad Athif Mohd Faudzi & Shafishuhaza Sahlan & Mokhtar Shouran, 2022. "Modeling and Fuzzy FOPID Controller Tuned by PSO for Pneumatic Positioning System," Energies, MDPI, vol. 15(10), pages 1-19, May.
    3. Xinghua Liu & Siwei Qiao & Zhiwei Liu, 2023. "A Survey on Load Frequency Control of Multi-Area Power Systems: Recent Challenges and Strategies," Energies, MDPI, vol. 16(5), pages 1-22, February.
    4. Bashar Abbas Fadheel & Noor Izzri Abdul Wahab & Ali Jafer Mahdi & Manoharan Premkumar & Mohd Amran Bin Mohd Radzi & Azura Binti Che Soh & Veerapandiyan Veerasamy & Andrew Xavier Raj Irudayaraj, 2023. "A Hybrid Grey Wolf Assisted-Sparrow Search Algorithm for Frequency Control of RE Integrated System," Energies, MDPI, vol. 16(3), pages 1-28, January.

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