An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations
Considering the increasing penetration of renewable energy sources (RESs) into power grids, adopting efficient energy management strategies is vital to mitigate the uncertainty issues resulting from the intermittent nature of their output power. This paper aims to resolve the energy management probl...
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| Format: | Article |
| Language: | English |
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Wiley
2023-01-01
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| Series: | International Transactions on Electrical Energy Systems |
| Online Access: | http://dx.doi.org/10.1155/2023/6483030 |
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| author | Mahmoud Mollayousefi Zadeh Zakaria Afshar Gholamreza Farahani Seyed Mohammad Taghi Bathaee |
| author_facet | Mahmoud Mollayousefi Zadeh Zakaria Afshar Gholamreza Farahani Seyed Mohammad Taghi Bathaee |
| author_sort | Mahmoud Mollayousefi Zadeh |
| collection | DOAJ |
| description | Considering the increasing penetration of renewable energy sources (RESs) into power grids, adopting efficient energy management strategies is vital to mitigate the uncertainty issues resulting from the intermittent nature of their output power. This paper aims to resolve the energy management problem by presenting an adaptive robust optimization (ARO) model in which uncertainties associated with solar and wind powers, consumer demand, and electricity prices are considered. The proposed model comprises three stages, one master and two subproblems, using both linearized and convexified power flow equations. Meanwhile, a new optimization-based bound tightening (OBBT) method is also presented to strengthen the relaxation. The proposed solution method solves the microgrid (MG) operation management problem with high accuracy due to considering the convexification method in a reasonable computational time and reducing operational costs compared to conventional models. The numerical results indicate the benefits of the proposed ARO and solution approach over traditional methods. |
| format | Article |
| id | doaj-art-c00c78136fc943e1bc377ef1f14a5563 |
| institution | DOAJ |
| issn | 2050-7038 |
| language | English |
| publishDate | 2023-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Transactions on Electrical Energy Systems |
| spelling | doaj-art-c00c78136fc943e1bc377ef1f14a55632025-08-20T03:05:17ZengWileyInternational Transactions on Electrical Energy Systems2050-70382023-01-01202310.1155/2023/6483030An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow EquationsMahmoud Mollayousefi Zadeh0Zakaria Afshar1Gholamreza Farahani2Seyed Mohammad Taghi Bathaee3Department of Electrical EngineeringDepartment of Electrical EngineeringDepartment of Electrical Engineering and Information TechnologyDepartment of Electrical EngineeringConsidering the increasing penetration of renewable energy sources (RESs) into power grids, adopting efficient energy management strategies is vital to mitigate the uncertainty issues resulting from the intermittent nature of their output power. This paper aims to resolve the energy management problem by presenting an adaptive robust optimization (ARO) model in which uncertainties associated with solar and wind powers, consumer demand, and electricity prices are considered. The proposed model comprises three stages, one master and two subproblems, using both linearized and convexified power flow equations. Meanwhile, a new optimization-based bound tightening (OBBT) method is also presented to strengthen the relaxation. The proposed solution method solves the microgrid (MG) operation management problem with high accuracy due to considering the convexification method in a reasonable computational time and reducing operational costs compared to conventional models. The numerical results indicate the benefits of the proposed ARO and solution approach over traditional methods.http://dx.doi.org/10.1155/2023/6483030 |
| spellingShingle | Mahmoud Mollayousefi Zadeh Zakaria Afshar Gholamreza Farahani Seyed Mohammad Taghi Bathaee An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations International Transactions on Electrical Energy Systems |
| title | An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations |
| title_full | An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations |
| title_fullStr | An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations |
| title_full_unstemmed | An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations |
| title_short | An Adaptive Robust Optimization Model for Microgrids Operation Using Convexified AC Power Flow Equations |
| title_sort | adaptive robust optimization model for microgrids operation using convexified ac power flow equations |
| url | http://dx.doi.org/10.1155/2023/6483030 |
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