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Fuzzy logic controller equilibrium base to enhance AGC system performance with renewable energy disturbances

Mansour, Soha, Badr, Ahmed O., Attia, Mahmoud A., Sameh, Mariam A., Kotb, Hossam, Elgamli, Elmazeg and Shouran, Mokhtar ORCID: https://orcid.org/0000-0002-9904-434X 2022. Fuzzy logic controller equilibrium base to enhance AGC system performance with renewable energy disturbances. Energies 15 (18) , 6709. 10.3390/en15186709

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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.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Engineering
Publisher: MDPI
ISSN: 1996-1073
Date of First Compliant Deposit: 3 October 2022
Date of Acceptance: 8 September 2022
Last Modified: 11 Nov 2022 09:06
URI: https://orca.cardiff.ac.uk/id/eprint/153019

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