Incorporating microgrids coupling with utilization of flexible switching to enhance self-healing ability of electric distribution systems
Abstract Electric distribution networks have to deal with issues caused by natural disasters. These problems possess unique characteristics, and their severity can make load restoration methods impotent. One solution that can help in alleviating the aftermath is the use of microgrids (MGs). Employin...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2021-07-01
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| Series: | Protection and Control of Modern Power Systems |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s41601-021-00197-9 |
| _version_ | 1818923396139843584 |
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| author | Saeed Mousavizadeh Arman Alahyari Seyed Reza Movahhed Ghodsinya Mahmoud-Reza Haghifam |
| author_facet | Saeed Mousavizadeh Arman Alahyari Seyed Reza Movahhed Ghodsinya Mahmoud-Reza Haghifam |
| author_sort | Saeed Mousavizadeh |
| collection | DOAJ |
| description | Abstract Electric distribution networks have to deal with issues caused by natural disasters. These problems possess unique characteristics, and their severity can make load restoration methods impotent. One solution that can help in alleviating the aftermath is the use of microgrids (MGs). Employing the cumulative capacity of the generation resources through MG coupling facilitates the self-healing capability and leads to better-coordinated energy management during the restoration period, while the switching capability of the system should also be considered. In this paper, to form and schedule dynamic MGs in distribution systems, a novel model based on mixed-integer linear programming (MILP) is proposed. This approach employs graph-related theories to formulate the optimal formation of the networked MGs and management of their proper participation in the load recovery process. In addition, the Benders decomposition technique is applied to alleviate computability issues of the optimization problem. The validity and applicability of the proposed model are evaluated by several simulation studies. |
| first_indexed | 2024-12-20T02:08:46Z |
| format | Article |
| id | doaj.art-667f881e3a5f40088f1a8cd0d3f2c913 |
| institution | Directory Open Access Journal |
| issn | 2367-2617 2367-0983 |
| language | English |
| last_indexed | 2024-12-20T02:08:46Z |
| publishDate | 2021-07-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | Protection and Control of Modern Power Systems |
| spelling | doaj.art-667f881e3a5f40088f1a8cd0d3f2c9132022-12-21T19:57:07ZengSpringerOpenProtection and Control of Modern Power Systems2367-26172367-09832021-07-016111110.1186/s41601-021-00197-9Incorporating microgrids coupling with utilization of flexible switching to enhance self-healing ability of electric distribution systemsSaeed Mousavizadeh0Arman Alahyari1Seyed Reza Movahhed Ghodsinya2Mahmoud-Reza Haghifam3Faculty of Electrical and Computer Engineering, Tarbiat Modares UniversitySkolkovo Institute of Science and Technology (Skoltech)Department of Electrical Engineering, University of Torbat HeydariehFaculty of Electrical and Computer Engineering, Tarbiat Modares UniversityAbstract Electric distribution networks have to deal with issues caused by natural disasters. These problems possess unique characteristics, and their severity can make load restoration methods impotent. One solution that can help in alleviating the aftermath is the use of microgrids (MGs). Employing the cumulative capacity of the generation resources through MG coupling facilitates the self-healing capability and leads to better-coordinated energy management during the restoration period, while the switching capability of the system should also be considered. In this paper, to form and schedule dynamic MGs in distribution systems, a novel model based on mixed-integer linear programming (MILP) is proposed. This approach employs graph-related theories to formulate the optimal formation of the networked MGs and management of their proper participation in the load recovery process. In addition, the Benders decomposition technique is applied to alleviate computability issues of the optimization problem. The validity and applicability of the proposed model are evaluated by several simulation studies.https://doi.org/10.1186/s41601-021-00197-9Load restorationDistribution networkMicrogrids couplingBenders decomposition |
| spellingShingle | Saeed Mousavizadeh Arman Alahyari Seyed Reza Movahhed Ghodsinya Mahmoud-Reza Haghifam Incorporating microgrids coupling with utilization of flexible switching to enhance self-healing ability of electric distribution systems Protection and Control of Modern Power Systems Load restoration Distribution network Microgrids coupling Benders decomposition |
| title | Incorporating microgrids coupling with utilization of flexible switching to enhance self-healing ability of electric distribution systems |
| title_full | Incorporating microgrids coupling with utilization of flexible switching to enhance self-healing ability of electric distribution systems |
| title_fullStr | Incorporating microgrids coupling with utilization of flexible switching to enhance self-healing ability of electric distribution systems |
| title_full_unstemmed | Incorporating microgrids coupling with utilization of flexible switching to enhance self-healing ability of electric distribution systems |
| title_short | Incorporating microgrids coupling with utilization of flexible switching to enhance self-healing ability of electric distribution systems |
| title_sort | incorporating microgrids coupling with utilization of flexible switching to enhance self healing ability of electric distribution systems |
| topic | Load restoration Distribution network Microgrids coupling Benders decomposition |
| url | https://doi.org/10.1186/s41601-021-00197-9 |
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