A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids
The control and energy management problems of microgrids (MGs) are challenging due to the high level of uncertainties and disturbances such as changes in demands, mechanical powers, and solar energies. So, intelligent computing is needed to be developed for these systems. This paper uses an optimal...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | Journal of Mathematics |
| Online Access: | http://dx.doi.org/10.1155/2023/5289114 |
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| author | Aoqi Xu Yassine Bouteraa Nasreen Kausar Ardashir Mohammadzadeh Dragan Pamucar Mohammed Abdullah Salman |
| author_facet | Aoqi Xu Yassine Bouteraa Nasreen Kausar Ardashir Mohammadzadeh Dragan Pamucar Mohammed Abdullah Salman |
| author_sort | Aoqi Xu |
| collection | DOAJ |
| description | The control and energy management problems of microgrids (MGs) are challenging due to the high level of uncertainties and disturbances such as changes in demands, mechanical powers, and solar energies. So, intelligent computing is needed to be developed for these systems. This paper uses an optimal and robust fuzzy controller for automatic voltage and frequency regulation. The fuzzy logic develops the resistance against uncertainties and disturbances such as irradiation, wind power changes, and load demand variation. The introduced controller uses appropriate and effective criteria that include rising time, settling time, overshoot, and the degree of resistance of the control system to uncertainties and perturbation effects. Through simulations and compassion with conventional regulators, the better accuracy of the suggested approach is demonstrated. |
| format | Article |
| id | doaj-art-790b731e76014710969aa8b166fdb839 |
| institution | DOAJ |
| issn | 2314-4785 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Mathematics |
| spelling | doaj-art-790b731e76014710969aa8b166fdb8392025-08-20T03:06:40ZengWileyJournal of Mathematics2314-47852023-01-01202310.1155/2023/5289114A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of MicrogridsAoqi Xu0Yassine Bouteraa1Nasreen Kausar2Ardashir Mohammadzadeh3Dragan Pamucar4Mohammed Abdullah Salman5School of EconomicsCollege of Computer Engineering and SciencesDepartment of MathematicsMultidisciplinary Center for Infrastructure EngineeringFaculty of Organizational SciencesCollege of EducationThe control and energy management problems of microgrids (MGs) are challenging due to the high level of uncertainties and disturbances such as changes in demands, mechanical powers, and solar energies. So, intelligent computing is needed to be developed for these systems. This paper uses an optimal and robust fuzzy controller for automatic voltage and frequency regulation. The fuzzy logic develops the resistance against uncertainties and disturbances such as irradiation, wind power changes, and load demand variation. The introduced controller uses appropriate and effective criteria that include rising time, settling time, overshoot, and the degree of resistance of the control system to uncertainties and perturbation effects. Through simulations and compassion with conventional regulators, the better accuracy of the suggested approach is demonstrated.http://dx.doi.org/10.1155/2023/5289114 |
| spellingShingle | Aoqi Xu Yassine Bouteraa Nasreen Kausar Ardashir Mohammadzadeh Dragan Pamucar Mohammed Abdullah Salman A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids Journal of Mathematics |
| title | A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids |
| title_full | A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids |
| title_fullStr | A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids |
| title_full_unstemmed | A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids |
| title_short | A Fuzzy Intelligent Computing Approach for Energy/Voltage Control of Microgrids |
| title_sort | fuzzy intelligent computing approach for energy voltage control of microgrids |
| url | http://dx.doi.org/10.1155/2023/5289114 |
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