Advanced Frequency Control Technique Using GTO with Balloon Effect for Microgrids with Photovoltaic Source to Lower Harmful Emissions and Protect Environment
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| Titel: | Advanced Frequency Control Technique Using GTO with Balloon Effect for Microgrids with Photovoltaic Source to Lower Harmful Emissions and Protect Environment |
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| Autoren: | Mahmoud M. Hussein, Mohamed Nasr Abdel Hamid, Tarek Hassan Mohamed, Ibrahim M. Al-Helal, Abdullah Alsadon, Ammar M. Hassan |
| Quelle: | Sustainability, Vol 16, Iss 2, p 831 (2024) |
| Verlagsinformationen: | MDPI AG |
| Publikationsjahr: | 2024 |
| Bestand: | Directory of Open Access Journals: DOAJ Articles |
| Schlagwörter: | load frequency control (LFC), microgrid (MGs), artificial gorilla troops optimization algorithm (GTO), balloon effect (BE), grey wolf optimization (GWO), Environmental effects of industries and plants, TD194-195, Renewable energy sources, TJ807-830, Environmental sciences, GE1-350 |
| Beschreibung: | Renewable energy (RE) resources such as wind and PV solar power are crucial for transitioning to carbon-free and sustainable energy systems, especially for agricultural and domestic applications in the desert and rural areas. However, implementing RE resources may lead to frequency penetrations, especially in isolated microgrids (µGs). This study proposes an adaptive load frequency control (LFC) technique for power systems. An integral controller can be tuned online using an artificial gorilla troops optimization algorithm (GTO), which is supported using a balloon effect (BE) identifier. Adaptive control is used to control the system frequency in case of variable loads and fluctuation due to 6 MW photovoltaic (PV). Three other optimization methods have been compared with the GTO + BE technique, namely the Grey Wolf Optimization method (GWO), the standard artificial gorilla troops optimization (GTO) and the Jaya technique. Digital simulation tests approved the efficiency of (GTO + BE) during system difficulties such as load disturbance and system parameter variations. In addition, the same test conditions have been repeated using a real-time simulation platform. The real-time simulation results supported the digital outcomes. |
| Publikationsart: | article in journal/newspaper |
| Sprache: | English |
| Relation: | https://www.mdpi.com/2071-1050/16/2/831; https://doaj.org/toc/2071-1050; https://doaj.org/article/480cddd0d9af461f9286a2bd496cf754 |
| DOI: | 10.3390/su16020831 |
| Verfügbarkeit: | https://doi.org/10.3390/su16020831 https://doaj.org/article/480cddd0d9af461f9286a2bd496cf754 |
| Dokumentencode: | edsbas.39BD9115 |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | Renewable energy (RE) resources such as wind and PV solar power are crucial for transitioning to carbon-free and sustainable energy systems, especially for agricultural and domestic applications in the desert and rural areas. However, implementing RE resources may lead to frequency penetrations, especially in isolated microgrids (µGs). This study proposes an adaptive load frequency control (LFC) technique for power systems. An integral controller can be tuned online using an artificial gorilla troops optimization algorithm (GTO), which is supported using a balloon effect (BE) identifier. Adaptive control is used to control the system frequency in case of variable loads and fluctuation due to 6 MW photovoltaic (PV). Three other optimization methods have been compared with the GTO + BE technique, namely the Grey Wolf Optimization method (GWO), the standard artificial gorilla troops optimization (GTO) and the Jaya technique. Digital simulation tests approved the efficiency of (GTO + BE) during system difficulties such as load disturbance and system parameter variations. In addition, the same test conditions have been repeated using a real-time simulation platform. The real-time simulation results supported the digital outcomes. |
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| DOI: | 10.3390/su16020831 |