MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand Response
Recently due to technical, economical, and environmental reasons, penetration of renewable energy resources has increased in the power systems. On the other hand, the utilization of these resources in remote areas and capable regions as isolated microgrids has several advantages. In this paper, a hy...
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| Format: | Article |
| Language: | English |
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University of Mohaghegh Ardabili
2022-04-01
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| Series: | Journal of Operation and Automation in Power Engineering |
| Subjects: | |
| Online Access: | http://joape.uma.ac.ir/article_1177_bad36dd949a7c410fca42d73f8854f43.pdf |
| _version_ | 1811335725042368512 |
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| author | E. Naderi A. Dejamkhooy S.J. SeyedShenava H. Shayeghi |
| author_facet | E. Naderi A. Dejamkhooy S.J. SeyedShenava H. Shayeghi |
| author_sort | E. Naderi |
| collection | DOAJ |
| description | Recently due to technical, economical, and environmental reasons, penetration of renewable energy resources has increased in the power systems. On the other hand, the utilization of these resources in remote areas and capable regions as isolated microgrids has several advantages. In this paper, a hybrid microgrid, which includes photovoltaic (PV)/wind/energy storage, is investigated. It has been located in Iran-Khalkhal. The purposes of this study are optimal energy management and sizing of the microgrid. Since the magnitude of the harvested renewable energy deals severely and complexly with season and climate issues, planning of the system based on their specific values is an oversimplification. Therefore, in addition to conventional constraints such as environmental and operational ones, estimation of the wind speed at the site is considered. The Monte Carlo method is employed to model and estimate wind behavior. Also, for regulating production and demand in the microgrid the Demand Response (DR) program is conducted to improve the contribution of the renewable energy resources. The planning is constructed as an optimization problem. It is formulated as a Mixed Integer Linear Programming (MILP). By solving it, the size and production magnitude of energy sources, as well as storage conditions, are determined. Finally, the proposed method is simulated by GAMS for all seasons of two scenarios. The results show desirable energy management and cost reduction in the studied grid. |
| first_indexed | 2024-04-13T17:28:37Z |
| format | Article |
| id | doaj.art-46ca945e204643399b23b2569639c648 |
| institution | Directory Open Access Journal |
| issn | 2322-4576 |
| language | English |
| last_indexed | 2024-04-13T17:28:37Z |
| publishDate | 2022-04-01 |
| publisher | University of Mohaghegh Ardabili |
| record_format | Article |
| series | Journal of Operation and Automation in Power Engineering |
| spelling | doaj.art-46ca945e204643399b23b2569639c6482022-12-22T02:37:38ZengUniversity of Mohaghegh ArdabiliJournal of Operation and Automation in Power Engineering2322-45762022-04-01101546510.22098/joape.2022.8271.15721177MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand ResponseE. Naderi0A. Dejamkhooy1S.J. SeyedShenava2H. Shayeghi3Department of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, IranDepartment of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, IranDepartment of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, IranDepartment of Electrical Engineering, University of Mohaghegh Ardabili, Ardabil, IranRecently due to technical, economical, and environmental reasons, penetration of renewable energy resources has increased in the power systems. On the other hand, the utilization of these resources in remote areas and capable regions as isolated microgrids has several advantages. In this paper, a hybrid microgrid, which includes photovoltaic (PV)/wind/energy storage, is investigated. It has been located in Iran-Khalkhal. The purposes of this study are optimal energy management and sizing of the microgrid. Since the magnitude of the harvested renewable energy deals severely and complexly with season and climate issues, planning of the system based on their specific values is an oversimplification. Therefore, in addition to conventional constraints such as environmental and operational ones, estimation of the wind speed at the site is considered. The Monte Carlo method is employed to model and estimate wind behavior. Also, for regulating production and demand in the microgrid the Demand Response (DR) program is conducted to improve the contribution of the renewable energy resources. The planning is constructed as an optimization problem. It is formulated as a Mixed Integer Linear Programming (MILP). By solving it, the size and production magnitude of energy sources, as well as storage conditions, are determined. Finally, the proposed method is simulated by GAMS for all seasons of two scenarios. The results show desirable energy management and cost reduction in the studied grid.http://joape.uma.ac.ir/article_1177_bad36dd949a7c410fca42d73f8854f43.pdfhybrid microgridwind speed modelmonte carlo methodmixed integer linear programmingdemand response |
| spellingShingle | E. Naderi A. Dejamkhooy S.J. SeyedShenava H. Shayeghi MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand Response Journal of Operation and Automation in Power Engineering hybrid microgrid wind speed model monte carlo method mixed integer linear programming demand response |
| title | MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand Response |
| title_full | MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand Response |
| title_fullStr | MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand Response |
| title_full_unstemmed | MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand Response |
| title_short | MILP based Optimal Design of Hybrid Microgrid by Considering Statistical Wind Estimation and Demand Response |
| title_sort | milp based optimal design of hybrid microgrid by considering statistical wind estimation and demand response |
| topic | hybrid microgrid wind speed model monte carlo method mixed integer linear programming demand response |
| url | http://joape.uma.ac.ir/article_1177_bad36dd949a7c410fca42d73f8854f43.pdf |
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