Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitment
AbstractThis paper aims to provide a model that combines reconfiguration with Unit Commitment (UC) and analytically examine Storage Capacity Increment Effects (SCIEs) in Micro-Grid (MG) operation. The case study includes batteries as the storage system and a conventional 10-bus MG with Wind Turbine...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2023-12-01
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| Series: | Cogent Engineering |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/23311916.2023.2280290 |
| _version_ | 1797258463373426688 |
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| author | Behzad Ehsan-Maleki Hamid Ghafi Morteza Azimi Nasab Mohammad Zand P. Sanjeevikumar Baseem Khan |
| author_facet | Behzad Ehsan-Maleki Hamid Ghafi Morteza Azimi Nasab Mohammad Zand P. Sanjeevikumar Baseem Khan |
| author_sort | Behzad Ehsan-Maleki |
| collection | DOAJ |
| description | AbstractThis paper aims to provide a model that combines reconfiguration with Unit Commitment (UC) and analytically examine Storage Capacity Increment Effects (SCIEs) in Micro-Grid (MG) operation. The case study includes batteries as the storage system and a conventional 10-bus MG with Wind Turbine (WT) and Micro-Turbines (MTs) as energy sources. The load demand and energy estimation of the Wind Unit (WU) with respect to wind speed changes are considered uncertain parameters. Additionally, a newly introduced algorithm and an objective function based on MG’s day-ahead benefit are employed to tackle the problem. According to Monte Carlo Simulation (MCS), a few scenarios are created for modeling uncertainties, and the MG’s optimal operation is examined under these situations. This study is based on two cases: the first examines the MG’s scheme with just one battery, and the second investigate SCIEs. This paper seeks to maximize MG’s benefit and optimize power exchange with increasing storage capacity. The statistical analysis results show that the proposed strategy can offer more cost-effectiveness, reliability, and power quality, though challenges remain. |
| first_indexed | 2024-03-08T23:53:57Z |
| format | Article |
| id | doaj.art-99e37886256a4abfa958cf3d343a9180 |
| institution | Directory Open Access Journal |
| issn | 2331-1916 |
| language | English |
| last_indexed | 2024-04-24T22:53:56Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Cogent Engineering |
| spelling | doaj.art-99e37886256a4abfa958cf3d343a91802024-03-18T10:22:11ZengTaylor & Francis GroupCogent Engineering2331-19162023-12-0110210.1080/23311916.2023.2280290Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitmentBehzad Ehsan-Maleki0Hamid Ghafi1Morteza Azimi Nasab2Mohammad Zand3P. Sanjeevikumar4Baseem Khan5Department of Electrical Engineering, Teacher Training Shahid Rajaee University, Tehran, IranDepartment of Electrical Engineering, Islamic Azad University of Dezful, Khozestan, IranDepartment of Electrical Engineering, IT and Cybernetic, University of South-Eastern Norway, Porsgrunn, NorwayDepartment of Electrical Engineering, IT and Cybernetic, University of South-Eastern Norway, Porsgrunn, NorwayDepartment of Electrical Engineering, IT and Cybernetic, University of South-Eastern Norway, Porsgrunn, NorwayDepartment of Electrical and Computer Engineering, Hawassa University, Hawassa, EthiopiaAbstractThis paper aims to provide a model that combines reconfiguration with Unit Commitment (UC) and analytically examine Storage Capacity Increment Effects (SCIEs) in Micro-Grid (MG) operation. The case study includes batteries as the storage system and a conventional 10-bus MG with Wind Turbine (WT) and Micro-Turbines (MTs) as energy sources. The load demand and energy estimation of the Wind Unit (WU) with respect to wind speed changes are considered uncertain parameters. Additionally, a newly introduced algorithm and an objective function based on MG’s day-ahead benefit are employed to tackle the problem. According to Monte Carlo Simulation (MCS), a few scenarios are created for modeling uncertainties, and the MG’s optimal operation is examined under these situations. This study is based on two cases: the first examines the MG’s scheme with just one battery, and the second investigate SCIEs. This paper seeks to maximize MG’s benefit and optimize power exchange with increasing storage capacity. The statistical analysis results show that the proposed strategy can offer more cost-effectiveness, reliability, and power quality, though challenges remain.https://www.tandfonline.com/doi/10.1080/23311916.2023.2280290micro-gridreconfigurationunit Commitment (UC)Storage Capacity Increment Effects (SCIEs)General Relativity Search Algorithm (GRSA) |
| spellingShingle | Behzad Ehsan-Maleki Hamid Ghafi Morteza Azimi Nasab Mohammad Zand P. Sanjeevikumar Baseem Khan Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitment Cogent Engineering micro-grid reconfiguration unit Commitment (UC) Storage Capacity Increment Effects (SCIEs) General Relativity Search Algorithm (GRSA) |
| title | Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitment |
| title_full | Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitment |
| title_fullStr | Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitment |
| title_full_unstemmed | Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitment |
| title_short | Statistical analysis of storage capacity increment effect in micro-grid management with simultaneous use of reconfiguration and unit commitment |
| title_sort | statistical analysis of storage capacity increment effect in micro grid management with simultaneous use of reconfiguration and unit commitment |
| topic | micro-grid reconfiguration unit Commitment (UC) Storage Capacity Increment Effects (SCIEs) General Relativity Search Algorithm (GRSA) |
| url | https://www.tandfonline.com/doi/10.1080/23311916.2023.2280290 |
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