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Optimal Design of Automatic Generation Control Based on Simulated Annealing in Interconnected Two-Area Power System Using Hybrid PID—Fuzzy Control

Author

Listed:
  • Muntasir A. Magzoub

    (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

  • Thamer Alquthami

    (Department of Electrical and Computer Engineering, King Abdulaziz University, Jeddah 21589, Saudi Arabia)

Abstract

Electricity demand continues to rise on a daily basis. The most difficult task is ensuring that customers have access to reliable, high-quality electricity regardless of the weather. Automatic generation control (AGC) accomplishes this by keeping the target output power and frequency constant despite load fluctuations. This paper presents a hybrid PID-fuzzy controller for optimal automatic generation control in a two-area interconnected power system. A comparative analysis of the proposed controller was performed with the PID controller. The parameters of the both controllers were developed by simulated annealing (SA) techniques in order to obtain the best dynamic performance. MATLAB Simulink software was used to simulate the models. The results of the simulation for the two-area power system based on simulated annealing using the hybrid PID–fuzzy controller showed superior performance in comparison to a conventional PID controller.

Suggested Citation

  • Muntasir A. Magzoub & Thamer Alquthami, 2022. "Optimal Design of Automatic Generation Control Based on Simulated Annealing in Interconnected Two-Area Power System Using Hybrid PID—Fuzzy Control," Energies, MDPI, vol. 15(4), pages 1-15, February.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:4:p:1540-:d:753371
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    Citations

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    Cited by:

    1. Li, Bin & Wang, Shuai & Li, Botong & Li, Hongbo & Wu, Jianzhong, 2023. "Optimal performance evaluation of thermal AGC units based on multi-dimensional feature analysis," Applied Energy, Elsevier, vol. 339(C).
    2. Xiuhua Song & Hong Li & Chao Chen & Huameng Xia & Zhiyang Zhang & Pan Tang, 2022. "Design and Experimental Testing of a Control System for a Solid-Fertilizer-Dissolving Device Based on Fuzzy PID," Agriculture, MDPI, vol. 12(9), pages 1-15, September.
    3. Soha Mansour & Ahmed O. Badr & Mahmoud A. Attia & Mariam A. Sameh & Hossam Kotb & Elmazeg Elgamli & Mokhtar Shouran, 2022. "Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances," Energies, MDPI, vol. 15(18), pages 1-18, September.
    4. Wei Fan & Zhijian Hu & Veerapandiyan Veerasamy, 2022. "PSO-Based Model Predictive Control for Load Frequency Regulation with Wind Turbines," Energies, MDPI, vol. 15(21), pages 1-15, November.

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