Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology Reconfiguration
The integration of distributed energy resources, such as wind farms (WFs) and energy storage systems (ESSs), into distribution networks can lower the economic cost of power generation. However, it is essential to consider operational constraints, including loading margin, which ensures the security...
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| Format: | Article |
| Language: | English |
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MDPI AG
2023-03-01
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| Series: | Energies |
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| Online Access: | https://www.mdpi.com/1996-1073/16/6/2780 |
| _version_ | 1797612060806217728 |
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| author | Saman Nikkhah Arman Alahyari Adib Allahham Khaled Alawasa |
| author_facet | Saman Nikkhah Arman Alahyari Adib Allahham Khaled Alawasa |
| author_sort | Saman Nikkhah |
| collection | DOAJ |
| description | The integration of distributed energy resources, such as wind farms (WFs) and energy storage systems (ESSs), into distribution networks can lower the economic cost of power generation. However, it is essential to consider operational constraints, including loading margin, which ensures the security line contingency. This study aims to develop a comprehensive hourly distribution network reconfiguration (HDNR) model to minimize the economic cost for the power generation company. The model considers the optimal allocation of WFs and ESSs in terms of capacity and location, as well as the hourly status of the distribution network switches, based on security constraints. The proposed model is applied to an IEEE 33-bus distribution test system, and the capacities and locations of WFs and ESSs are determined. The impacts of security constraints on the optimal capacities and locations of WFs and ESSs, and the hourly configuration of the distribution network, are analyzed based on two case studies. In Case Study I, the model is solved with HDNR conditions, while Case Study II is solved without these restrictions, for comparison purposes. The results show that the optimal allocation of WFs and ESSs is affected by security constraints when HDNR is considered and highlight the crucial role of security constraints under contingency conditions, such as line outages. In the test system, three WFs and two ESSs are optimally allocated, with changes in capacity and location as the loading margin varies. |
| first_indexed | 2024-03-11T06:36:53Z |
| format | Article |
| id | doaj.art-76ce93cb615d4fa78e3e9823d7dff853 |
| institution | Directory Open Access Journal |
| issn | 1996-1073 |
| language | English |
| last_indexed | 2024-03-11T06:36:53Z |
| publishDate | 2023-03-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Energies |
| spelling | doaj.art-76ce93cb615d4fa78e3e9823d7dff8532023-11-17T10:50:52ZengMDPI AGEnergies1996-10732023-03-01166278010.3390/en16062780Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology ReconfigurationSaman Nikkhah0Arman Alahyari1Adib Allahham2Khaled Alawasa3School of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UKSchool of Engineering, Newcastle University, Newcastle upon Tyne NE1 7RU, UKFaculty of Engineering and Environment, Northumbria University, Newcastle upon Tyne NE1 8ST, UKDepartment of Electrical Engineering, Mutah University, Mutah 61710, JordanThe integration of distributed energy resources, such as wind farms (WFs) and energy storage systems (ESSs), into distribution networks can lower the economic cost of power generation. However, it is essential to consider operational constraints, including loading margin, which ensures the security line contingency. This study aims to develop a comprehensive hourly distribution network reconfiguration (HDNR) model to minimize the economic cost for the power generation company. The model considers the optimal allocation of WFs and ESSs in terms of capacity and location, as well as the hourly status of the distribution network switches, based on security constraints. The proposed model is applied to an IEEE 33-bus distribution test system, and the capacities and locations of WFs and ESSs are determined. The impacts of security constraints on the optimal capacities and locations of WFs and ESSs, and the hourly configuration of the distribution network, are analyzed based on two case studies. In Case Study I, the model is solved with HDNR conditions, while Case Study II is solved without these restrictions, for comparison purposes. The results show that the optimal allocation of WFs and ESSs is affected by security constraints when HDNR is considered and highlight the crucial role of security constraints under contingency conditions, such as line outages. In the test system, three WFs and two ESSs are optimally allocated, with changes in capacity and location as the loading margin varies.https://www.mdpi.com/1996-1073/16/6/2780wind farmsenergy storage systemsoptimal allocationhourly distribution network reconfigurationsecurityline contingency |
| spellingShingle | Saman Nikkhah Arman Alahyari Adib Allahham Khaled Alawasa Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology Reconfiguration Energies wind farms energy storage systems optimal allocation hourly distribution network reconfiguration security line contingency |
| title | Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology Reconfiguration |
| title_full | Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology Reconfiguration |
| title_fullStr | Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology Reconfiguration |
| title_full_unstemmed | Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology Reconfiguration |
| title_short | Optimal Integration of Hybrid Energy Systems: A Security-Constrained Network Topology Reconfiguration |
| title_sort | optimal integration of hybrid energy systems a security constrained network topology reconfiguration |
| topic | wind farms energy storage systems optimal allocation hourly distribution network reconfiguration security line contingency |
| url | https://www.mdpi.com/1996-1073/16/6/2780 |
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