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Application of Robust Super Twisting to Load Frequency Control of a Two-Area System Comprising Renewable Energy Resources

Author

Listed:
  • Ashraf K. Abdelaal

    (Department of Electric Power and Machine, Faculty of Technology, Suez University, Suez 43512, Egypt)

  • Mohamed A. El-Hameed

    (ECEN Department, College of Engineering, A’Sharqiyah University, P.O. Box 42, Ibra 400, Oman)

Abstract

The main concern of the present article is to design a robust load frequency control for a two-area power system (TAPS) comprising renewable energy resources. Three different controllers are suggested. The first is based on a robust super twisting (ST) technique, which is an enhanced approach of the sliding mode control and is considered to be one of the most excellent control techniques. The second and the third are based on two recent metaheuristic techniques, namely the one-to-one based optimizer (OOBO) and hippopotamus optimizer (HO). The studied TAPS contains different energy resources, such as solar thermal, photovoltaic, wind energy, hydropower and energy storage in addition to other conventional sources. The OOBO and HO are used to determine the parameters of PI controllers, and the objective function is to minimize the integral square error of frequency and tie line power. The obtained results verify the high performance of the suggested three controllers with superiority to ST because of its intrinsic capability to cope with parameter changes.

Suggested Citation

  • Ashraf K. Abdelaal & Mohamed A. El-Hameed, 2024. "Application of Robust Super Twisting to Load Frequency Control of a Two-Area System Comprising Renewable Energy Resources," Sustainability, MDPI, vol. 16(13), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:16:y:2024:i:13:p:5558-:d:1425250
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    References listed on IDEAS

    as
    1. Tayyab Ali & Suheel Abdullah Malik & Amil Daraz & Muhammad Adeel & Sheraz Aslam & Herodotos Herodotou, 2023. "Load Frequency Control and Automatic Voltage Regulation in Four-Area Interconnected Power Systems Using a Gradient-Based Optimizer," Energies, MDPI, vol. 16(5), pages 1-27, February.
    2. Vincent N. Ogar & Sajjad Hussain & Kelum A. A. Gamage, 2023. "Load Frequency Control Using the Particle Swarm Optimisation Algorithm and PID Controller for Effective Monitoring of Transmission Line," Energies, MDPI, vol. 16(15), pages 1-17, August.
    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.
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