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

Soha Mansour, Ahmed O. Badr, Mahmoud A. Attia, Mariam A. Sameh, Hossam Kotb, Elmazeg Elgamli () and Mokhtar Shouran
Additional contact information
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

Energies, 2022, vol. 15, issue 18, 1-18

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.

Keywords: fuzzy logic controller; equilibrium base; automatic generation control; renewable energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2022
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (5)

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