Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage System
This paper aims to propose an application of artificial intelligence and nature-inspired optimization algorithms to design an optimal power management and frequency control loop that allows the integration of a large number of distributed generators, such as wind farms and solar PV generators, in is...
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MDPI AG
2024-05-01
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| author | Nour El Yakine Kouba Slimane Sadoudi |
| author_facet | Nour El Yakine Kouba Slimane Sadoudi |
| author_sort | Nour El Yakine Kouba |
| collection | DOAJ |
| description | This paper aims to propose an application of artificial intelligence and nature-inspired optimization algorithms to design an optimal power management and frequency control loop that allows the integration of a large number of distributed generators, such as wind farms and solar PV generators, in isolated and islanded power systems. In addition, the proposed strategy was coordinated with a Hybrid Energy Storage System (HESS) including a redox battery and fuel cells. The HESS was used to support the frequency regulation loop and reduce frequency oscillations during disturbances. An optimal Fuzzy-PID controller was employed to cope with system fluctuation using a recently developed optimization algorithm named Marine Predator Algorithm (MPA). The MPA algorithm was used to optimize the parameters of Fuzzy Logic and the PID controller. Furthermore, the proposed power management method was used to minimize the use of diesel generators by maximizing the participation of wind, PV, and storage systems to satisfy the load. To show the effectiveness and validity of the proposed strategy, various case studies have been simulated and presented in this work. A comparative study between some metaheuristic algorithms such PSO and GA have been carried out. Finally, robustness analyses have been performed in the presence of high-penetration wind farms and solar PV arrays with different load disturbances. |
| format | Article |
| id | doaj-art-843420b210a545dbb48eac1feeae4d84 |
| institution | Kabale University |
| issn | 2504-3900 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proceedings |
| spelling | doaj-art-843420b210a545dbb48eac1feeae4d842025-08-20T03:44:00ZengMDPI AGProceedings2504-39002024-05-011051310.3390/proceedings2024105003Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage SystemNour El Yakine Kouba0Slimane Sadoudi1Laboratory of Electrical and Industrial Systems, University of Sciences and Technology Houari Boumediene, Algiers, Bab Ezzouar 16111, AlgeriaLaboratory of Electrical and Industrial Systems, University of Sciences and Technology Houari Boumediene, Algiers, Bab Ezzouar 16111, AlgeriaThis paper aims to propose an application of artificial intelligence and nature-inspired optimization algorithms to design an optimal power management and frequency control loop that allows the integration of a large number of distributed generators, such as wind farms and solar PV generators, in isolated and islanded power systems. In addition, the proposed strategy was coordinated with a Hybrid Energy Storage System (HESS) including a redox battery and fuel cells. The HESS was used to support the frequency regulation loop and reduce frequency oscillations during disturbances. An optimal Fuzzy-PID controller was employed to cope with system fluctuation using a recently developed optimization algorithm named Marine Predator Algorithm (MPA). The MPA algorithm was used to optimize the parameters of Fuzzy Logic and the PID controller. Furthermore, the proposed power management method was used to minimize the use of diesel generators by maximizing the participation of wind, PV, and storage systems to satisfy the load. To show the effectiveness and validity of the proposed strategy, various case studies have been simulated and presented in this work. A comparative study between some metaheuristic algorithms such PSO and GA have been carried out. Finally, robustness analyses have been performed in the presence of high-penetration wind farms and solar PV arrays with different load disturbances.https://www.mdpi.com/2504-3900/105/1/3microgridstorage systemwind farmsolar power generationoptimal power managementfuzzy logic control |
| spellingShingle | Nour El Yakine Kouba Slimane Sadoudi Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage System Proceedings microgrid storage system wind farm solar power generation optimal power management fuzzy logic control |
| title | Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage System |
| title_full | Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage System |
| title_fullStr | Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage System |
| title_full_unstemmed | Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage System |
| title_short | Optimal Power Management and Control of Hybrid Solar–Wind Microgrid Including Storage System |
| title_sort | optimal power management and control of hybrid solar wind microgrid including storage system |
| topic | microgrid storage system wind farm solar power generation optimal power management fuzzy logic control |
| url | https://www.mdpi.com/2504-3900/105/1/3 |
| work_keys_str_mv | AT nourelyakinekouba optimalpowermanagementandcontrolofhybridsolarwindmicrogridincludingstoragesystem AT slimanesadoudi optimalpowermanagementandcontrolofhybridsolarwindmicrogridincludingstoragesystem |