Efficient Networked Microgrid Management Considering Plug-in Electric Vehicles and Storage Units
This article addresses the optimal energy management and operation of networked microgrids considering different types of dispatchable units like fuelcell and microturbine and nondispatchable units such as wind turbine and solar units. To change the just-consuming role of vehicles into an active rol...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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University of Sistan and Baluchestan
2021-04-01
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| Series: | International Journal of Industrial Electronics, Control and Optimization |
| Subjects: | |
| Online Access: | https://ieco.usb.ac.ir/article_5997_ac5e6592380b22eec198d03d2bbadb37.pdf |
| _version_ | 1811306308249321472 |
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| author | Mahdi Vosoogh Masoud Rashidinejad Amir Abdollahi Morteza Ghaseminezhad |
| author_facet | Mahdi Vosoogh Masoud Rashidinejad Amir Abdollahi Morteza Ghaseminezhad |
| author_sort | Mahdi Vosoogh |
| collection | DOAJ |
| description | This article addresses the optimal energy management and operation of networked microgrids considering different types of dispatchable units like fuelcell and microturbine and nondispatchable units such as wind turbine and solar units. To change the just-consuming role of vehicles into an active role with the ability of making profit, the vehicle-to-grid technology (V2G) is deployed here. Due to the complex and nonlinear structure of the problem, an effective optimization energy management framework based on the bat algorithm (with a modification) and unscented transform is devised to find the most optimal operation point of the devices from the economic point of view. Due to the high uncertainties injected by electric vehicles pattern behavior in addition to the renewable sources output power variations, the unscented transform is proposed to make the analysis more realistic. The simulation results on an IEEE networked microgrid test system advocate the high capability and proper performance of the proposed method. The results show that the total system operation cost is 53897.004$ and 53711.704$ in the 1st and 2nd scenarios, respectively. Moreover, it is seen that considering uncertainty in the problem has added 0.586% and 0.762% to the cost function value in the first and second scenarios, compared to the deterministic framework. |
| first_indexed | 2024-04-13T08:42:05Z |
| format | Article |
| id | doaj.art-5c2c7c8e4ad14374bd9bd43db52dfe85 |
| institution | Directory Open Access Journal |
| issn | 2645-3517 2645-3568 |
| language | English |
| last_indexed | 2024-04-13T08:42:05Z |
| publishDate | 2021-04-01 |
| publisher | University of Sistan and Baluchestan |
| record_format | Article |
| series | International Journal of Industrial Electronics, Control and Optimization |
| spelling | doaj.art-5c2c7c8e4ad14374bd9bd43db52dfe852022-12-22T02:53:51ZengUniversity of Sistan and BaluchestanInternational Journal of Industrial Electronics, Control and Optimization2645-35172645-35682021-04-014224525510.22111/ieco.2020.35847.13065997Efficient Networked Microgrid Management Considering Plug-in Electric Vehicles and Storage UnitsMahdi Vosoogh0Masoud Rashidinejad1Amir Abdollahi2Morteza Ghaseminezhad3Department of Electrical Engineering , sirjan branch , islamic azad university ,sirjan ,iranDepartment of electrical Engineering , shahid Bahonar university of kerman ,kerman, iran.Department of Electrical Engineering , sirjan branch , islamic azad university ,sirjan ,iranDepartment of Electrical Engineering , sirjan university of technology ,sirjan ,iranThis article addresses the optimal energy management and operation of networked microgrids considering different types of dispatchable units like fuelcell and microturbine and nondispatchable units such as wind turbine and solar units. To change the just-consuming role of vehicles into an active role with the ability of making profit, the vehicle-to-grid technology (V2G) is deployed here. Due to the complex and nonlinear structure of the problem, an effective optimization energy management framework based on the bat algorithm (with a modification) and unscented transform is devised to find the most optimal operation point of the devices from the economic point of view. Due to the high uncertainties injected by electric vehicles pattern behavior in addition to the renewable sources output power variations, the unscented transform is proposed to make the analysis more realistic. The simulation results on an IEEE networked microgrid test system advocate the high capability and proper performance of the proposed method. The results show that the total system operation cost is 53897.004$ and 53711.704$ in the 1st and 2nd scenarios, respectively. Moreover, it is seen that considering uncertainty in the problem has added 0.586% and 0.762% to the cost function value in the first and second scenarios, compared to the deterministic framework.https://ieco.usb.ac.ir/article_5997_ac5e6592380b22eec198d03d2bbadb37.pdfsmart gridenergy managementbatterymicro-turbinefuel cell |
| spellingShingle | Mahdi Vosoogh Masoud Rashidinejad Amir Abdollahi Morteza Ghaseminezhad Efficient Networked Microgrid Management Considering Plug-in Electric Vehicles and Storage Units International Journal of Industrial Electronics, Control and Optimization smart grid energy management battery micro-turbine fuel cell |
| title | Efficient Networked Microgrid Management Considering Plug-in Electric Vehicles and Storage Units |
| title_full | Efficient Networked Microgrid Management Considering Plug-in Electric Vehicles and Storage Units |
| title_fullStr | Efficient Networked Microgrid Management Considering Plug-in Electric Vehicles and Storage Units |
| title_full_unstemmed | Efficient Networked Microgrid Management Considering Plug-in Electric Vehicles and Storage Units |
| title_short | Efficient Networked Microgrid Management Considering Plug-in Electric Vehicles and Storage Units |
| title_sort | efficient networked microgrid management considering plug in electric vehicles and storage units |
| topic | smart grid energy management battery micro-turbine fuel cell |
| url | https://ieco.usb.ac.ir/article_5997_ac5e6592380b22eec198d03d2bbadb37.pdf |
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