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Design of a 2DOF-PID Control Scheme for Frequency/Power Regulation in a Two-Area Power System Using Dragonfly Algorithm with Integral-Based Weighted Goal Objective

Author

Listed:
  • Alaa M. Abdel-hamed

    (Electrical Power and Machines Department, High Institute of Engineering, El-Shorouk Academy, Cairo 11837, Egypt)

  • Almoataz Y. Abdelaziz

    (Faculty of Engineering and Technology, Future University in Egypt, Cairo 11835, Egypt)

  • Adel El-Shahat

    (Energy Technology Program, School of Engineering Technology, Purdue University, West Lafayette, IN 47907, USA)

Abstract

The increase in power demand, nonlinearity, complexity, varying structure, and other important causes has necessitated the implementation of artificial intelligent control methodologies for safe and acceptable operation of the electric power systems. Therefore, in this article, an improved two-degrees-of-freedom (2DOF-PID) control scheme is proposed for power/frequency control of a two-area interconnected electric power system. The parameters of the 2-DOF-PID control scheme are optimized using the Dragonfly Algorithm (DA) via a new integral-based weighted goal fitness function (IB-WGFF) (i.e., DF-2DOF-PID-IB-WGFF). The superiority of the suggested scheme is proved by comparing the results obtained using the proposed IB-WGFF with those obtained using the conventional controllers, and the 2DOF-PID controllers optimized using the DA and Genetic Algorithm (GA) via the frequently published performance criterion. To verify the stability, efficacy, and robustness of the proposed control scheme, a load disturbances and parameters perturbations with various percentages are implemented in the controlled system under the same controllers. Finally, verification results proved that the proposed 2DOF-PID optimized using DA via the IB-WGFF is more stable, efficient, and robust than the other controllers recently used in the literature.

Suggested Citation

  • Alaa M. Abdel-hamed & Almoataz Y. Abdelaziz & Adel El-Shahat, 2023. "Design of a 2DOF-PID Control Scheme for Frequency/Power Regulation in a Two-Area Power System Using Dragonfly Algorithm with Integral-Based Weighted Goal Objective," Energies, MDPI, vol. 16(1), pages 1-34, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:1:p:486-:d:1022603
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    References listed on IDEAS

    as
    1. Tayyab Ali & Suheel Abdullah Malik & Ibrahim A. Hameed & Amil Daraz & Hana Mujlid & Ahmad Taher Azar, 2022. "Load Frequency Control and Automatic Voltage Regulation in a Multi-Area Interconnected Power System Using Nature-Inspired Computation-Based Control Methodology," Sustainability, MDPI, vol. 14(19), pages 1-30, September.
    2. Essiet, Ima O. & Sun, Yanxia & Wang, Zenghui, 2019. "Optimized energy consumption model for smart home using improved differential evolution algorithm," Energy, Elsevier, vol. 172(C), pages 354-365.
    3. Ahmed Fathy & Dalia Yousri & Hegazy Rezk & Sudhakar Babu Thanikanti & Hany M. Hasanien, 2022. "A Robust Fractional-Order PID Controller Based Load Frequency Control Using Modified Hunger Games Search Optimizer," Energies, MDPI, vol. 15(1), pages 1-25, January.
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