Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances
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 t...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-09-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/15/18/6709 |
| _version_ | 1797488875121147904 |
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| author | Soha Mansour Ahmed O. Badr Mahmoud A. Attia Mariam A. Sameh Hossam Kotb Elmazeg Elgamli Mokhtar Shouran |
| author_facet | Soha Mansour Ahmed O. Badr Mahmoud A. Attia Mariam A. Sameh Hossam Kotb Elmazeg Elgamli Mokhtar Shouran |
| author_sort | Soha Mansour |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-10T00:08:30Z |
| format | Article |
| id | doaj.art-ca0b50b3db3a4752bb9490fbfd77ff51 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-10T00:08:30Z |
| publishDate | 2022-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-ca0b50b3db3a4752bb9490fbfd77ff512023-11-23T16:04:29ZengMDPI AGEnergies1996-10732022-09-011518670910.3390/en15186709Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy DisturbancesSoha Mansour0Ahmed O. Badr1Mahmoud A. Attia2Mariam A. Sameh3Hossam Kotb4Elmazeg Elgamli5Mokhtar Shouran6Department of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, EgyptDepartment of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, EgyptDepartment of Electrical Power and Machines, Faculty of Engineering, Ain Shams University, Cairo 11517, EgyptElectrical Engineering Department, Faculty of Engineering, Future University in Egypt, Cairo 11835, EgyptDepartment of Electrical Power and Machines, Faculty of Engineering, Alexandria University, Alexandria 21544, EgyptSchool of Engineering, Cardiff University, Cardiff CF24 3AA, UKSchool of Engineering, Cardiff University, Cardiff CF24 3AA, UKOwing 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.https://www.mdpi.com/1996-1073/15/18/6709fuzzy logic controllerequilibrium baseautomatic generation controlrenewable energy |
| spellingShingle | Soha Mansour Ahmed O. Badr Mahmoud A. Attia Mariam A. Sameh Hossam Kotb Elmazeg Elgamli Mokhtar Shouran Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances Energies fuzzy logic controller equilibrium base automatic generation control renewable energy |
| title | Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances |
| title_full | Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances |
| title_fullStr | Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances |
| title_full_unstemmed | Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances |
| title_short | Fuzzy Logic Controller Equilibrium Base to Enhance AGC System Performance with Renewable Energy Disturbances |
| title_sort | fuzzy logic controller equilibrium base to enhance agc system performance with renewable energy disturbances |
| topic | fuzzy logic controller equilibrium base automatic generation control renewable energy |
| url | https://www.mdpi.com/1996-1073/15/18/6709 |
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