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A Robust Artificial Bee Colony-Based Load Frequency Control for Hydro-Thermal Interconnected Power System

Author

Listed:
  • Ahmed Fathy

    (Electrical Engineering Department, Faculty of Engineering, Jouf University, Sakaka 42421, Saudi Arabia)

  • Ahmed Kassem

    (Electrical Engineering Department, Faculty of Engineering, Sohag University, Sohag 82524, Egypt)

  • Zaki A. Zaki

    (Electrical Engineering Department, Faculty of Engineering, Jouf University, Sakaka 42421, Saudi Arabia)

Abstract

The presented work examines load frequency control (LFC) to develop the dynamic behavior of the power system under different load disturbances that have occurred in multi-interconnected power systems. An artificial bee colony (ABC) algorithm is proposed to design an optimal proportional integral derivative (PID) controller simulating the LFC installed in a hybrid hydro-thermal interconnected power system. The proposed approach incorporating ABC is employed to determine the optimal parameters of the controller during load disturbance applied on one area. The integral time absolute error (ITAE) of the frequency and exchange power violations is considered as the target to be minimized. Moreover, integral absolute error (IAE) and sum squared error (SSE) are calculated. To prove how the proposed model controller is effective, two-interconnected power systems are presented during a wide range of operating cases, and then the behavior of the proposed controller is compared to that of the designed via a chef-based optimization algorithm (CBOA), seagull optimization approach (SOA), and sine cosine approach. Regarding the 5% disturbance on the thermal plant, the ABC outperformed the other approaches hence achieving the best fitness value of 1.80936, IAE of 3.147938, and SSE of 0.1787486. On the other hand, during a 5% disturbance on the hydro plant, the ABC succeeded in getting ITAE, IAE, and SSE with values of 3.43291, 3.630509, and 0.5233815, respectively. The efficiency and prevalence of the proposed LFC-PID is confirmed by the achieved results.

Suggested Citation

  • Ahmed Fathy & Ahmed Kassem & Zaki A. Zaki, 2022. "A Robust Artificial Bee Colony-Based Load Frequency Control for Hydro-Thermal Interconnected Power System," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:20:p:13569-:d:948276
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    Citations

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    Cited by:

    1. Sherif A. Zaid & Ahmed M. Kassem & Aadel M. Alatwi & Hani Albalawi & Hossam AbdelMeguid & Atef Elemary, 2023. "Optimal Control of an Autonomous Microgrid Integrated with Super Magnetic Energy Storage Using an Artificial Bee Colony Algorithm," Sustainability, MDPI, vol. 15(11), pages 1-19, May.
    2. Mitul Ranjan Chakraborty & Subhojit Dawn & Pradip Kumar Saha & Jayanta Bhusan Basu & Taha Selim Ustun, 2023. "System Economy Improvement and Risk Shortening by Fuel Cell-UPFC Placement in a Wind-Combined System," Energies, MDPI, vol. 16(4), pages 1-30, February.

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