Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies
Reconfiguration of a distribution network is one of the main approaches to control and enhance distribution network indices, such as voltage profile and power losses. Distribution network operators perform reconfiguration for long-term or short-term periods based on network equipment and intended ob...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10384451/ |
| _version_ | 1797348738774073344 |
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| author | Milad Rahimipour Behbahani Alireza Jalilian Alireza Bahmanyar Damien Ernst |
| author_facet | Milad Rahimipour Behbahani Alireza Jalilian Alireza Bahmanyar Damien Ernst |
| author_sort | Milad Rahimipour Behbahani |
| collection | DOAJ |
| description | Reconfiguration of a distribution network is one of the main approaches to control and enhance distribution network indices, such as voltage profile and power losses. Distribution network operators perform reconfiguration for long-term or short-term periods based on network equipment and intended objectives. Long-term or static reconfiguration is suitable for traditional and modern networks with conventional switches. On the other hand, modern distribution networks that are equipped with one or more remote control switches can perform reconfigurations within short-term periods, to maximize predefined objectives. This paper presents a comprehensive review of recent literature on network reconfiguration. Reconfiguration methodologies are classified into five groups: classical methods, heuristic methods, metaheuristic methods, hybrid methods, and methods based on machine learning. The paper provides a general definition and comparison of the categories and discusses their application in dynamic and static reconfiguration. The paper introduces dynamic reconfiguration as the future challenges in smart and modern distribution networks and for the first time categorizes various methodologies in dynamic reconfiguration. The paper serves as a guide to assist engineers and researchers in selecting the most suitable methodology based on their system equipment and objectives. |
| first_indexed | 2024-03-08T12:09:20Z |
| format | Article |
| id | doaj.art-10ec166d810540edb270f504e2d74fee |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-03-08T12:09:20Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-10ec166d810540edb270f504e2d74fee2024-01-23T00:02:25ZengIEEEIEEE Access2169-35362024-01-01129510952510.1109/ACCESS.2024.335020710384451Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration MethodologiesMilad Rahimipour Behbahani0https://orcid.org/0000-0002-3537-6994Alireza Jalilian1https://orcid.org/0000-0003-2130-5893Alireza Bahmanyar2Damien Ernst3Department of Electrical Engineering, Iran University of Science and Technology, Tehran, IranDepartment of Electrical Engineering, Iran University of Science and Technology, Tehran, IranIntelligent Systems Solutions, Haulogy, Neupré, BelgiumDepartment of Electrical Engineering and Computer Science, Montefiore Institute, University of Liège, Liège, BelgiumReconfiguration of a distribution network is one of the main approaches to control and enhance distribution network indices, such as voltage profile and power losses. Distribution network operators perform reconfiguration for long-term or short-term periods based on network equipment and intended objectives. Long-term or static reconfiguration is suitable for traditional and modern networks with conventional switches. On the other hand, modern distribution networks that are equipped with one or more remote control switches can perform reconfigurations within short-term periods, to maximize predefined objectives. This paper presents a comprehensive review of recent literature on network reconfiguration. Reconfiguration methodologies are classified into five groups: classical methods, heuristic methods, metaheuristic methods, hybrid methods, and methods based on machine learning. The paper provides a general definition and comparison of the categories and discusses their application in dynamic and static reconfiguration. The paper introduces dynamic reconfiguration as the future challenges in smart and modern distribution networks and for the first time categorizes various methodologies in dynamic reconfiguration. The paper serves as a guide to assist engineers and researchers in selecting the most suitable methodology based on their system equipment and objectives.https://ieeexplore.ieee.org/document/10384451/Distribution networkoptimizationmachine learningstatic reconfigurationdynamic reconfigurationmetaheuristic algorithms |
| spellingShingle | Milad Rahimipour Behbahani Alireza Jalilian Alireza Bahmanyar Damien Ernst Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies IEEE Access Distribution network optimization machine learning static reconfiguration dynamic reconfiguration metaheuristic algorithms |
| title | Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies |
| title_full | Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies |
| title_fullStr | Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies |
| title_full_unstemmed | Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies |
| title_short | Comprehensive Review on Static and Dynamic Distribution Network Reconfiguration Methodologies |
| title_sort | comprehensive review on static and dynamic distribution network reconfiguration methodologies |
| topic | Distribution network optimization machine learning static reconfiguration dynamic reconfiguration metaheuristic algorithms |
| url | https://ieeexplore.ieee.org/document/10384451/ |
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