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Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances

Author

Listed:
  • Soha Mansour

    (Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Ahmed O. Badr

    (Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Mahmoud A. Attia

    (Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, Egypt)

  • Mariam A. Sameh

    (Electrical Engineering Department, Faculty of Engineering, Future University in Egypt, Cairo 11835, Egypt)

  • Hossam Kotb

    (Department of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria 21544, Egypt)

  • Elmazeg Elgamli

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

  • Mokhtar Shouran

    (School of Engineering, Cardiff University, Cardiff CF24 3AA, UK)

Abstract

Owing to the various sources of complexity in the electrical power system, such as integrating intermittent renewable energy resources and widely spread nonlinear power system components, which result in sudden changes in the power system operating conditions, the conventional PID controller fails to track such dynamic challenges to mitigate the frequency deviation problem. Thus, in this paper, a fuzzy PI controller is proposed to enhance the automatic generation control system (AGC) against step disturbance, dynamic disturbance, and wind energy disturbance in a single area system. The proposed controller is initialized by using Equilibrium Optimization and proved its superiority through comparison with a classical PI optimized base. Results show that the fuzzy PI controller can reduce the peak-to-peak deviation in the frequency by 30–59% under wind disturbance, compared to a classical PI optimized base. Moreover, a fuzzy PID controller is also proposed and EO initialized in this paper to compare with the PIDA optimized by several techniques in the two-area system. Results show that the fuzzy PID controller can reduce the peak-to-peak deviation in the frequency of area 1 by 30–50% and the deviation of frequency in area 2 by 13–48% under wave disturbance, compared to the classical PIDA optimized base.

Suggested Citation

  • 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.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:18:p:6709-:d:914253
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    References listed on IDEAS

    as
    1. Pandey, Shashi Kant & Mohanty, Soumya R. & Kishor, Nand, 2013. "A literature survey on load–frequency control for conventional and distribution generation power systems," Renewable and Sustainable Energy Reviews, Elsevier, vol. 25(C), pages 318-334.
    2. 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.
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    Cited by:

    1. Othman A. M. Omar & Ahmed O. Badr & Ibrahim Mohamed Diaaeldin, 2023. "Novel Fractional Order and Stochastic Formulations for the Precise Prediction of Commercial Photovoltaic Curves," Mathematics, MDPI, vol. 11(21), pages 1-19, October.
    2. Othman A. M. Omar & Mostafa I. Marei & Mahmoud A. Attia, 2023. "Comparative Study of AVR Control Systems Considering a Novel Optimized PID-Based Model Reference Fractional Adaptive Controller," Energies, MDPI, vol. 16(2), pages 1-19, January.
    3. Awadh Ba Wazir & Ahmed Althobiti & Abdullah A. Alhussainy & Sultan Alghamdi & Mahendiran Vellingiri & Thangam Palaniswamy & Muhyaddin Rawa, 2024. "A Comparative Study of Load Frequency Regulation for Multi-Area Interconnected Grids Using Integral Controller," Sustainability, MDPI, vol. 16(9), pages 1-50, May.
    4. Ahmed O. Badr & Soha Mansour & Mariam A. Sameh & Mahmoud A. Attia, 2022. "Seamless Transition and Fault-Ride-Through by Using a Fuzzy EO PID Controller in AVR System," Energies, MDPI, vol. 15(22), pages 1-20, November.

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