Multi-objective feeder reconfiguration problem in the presence of distributed generation sources and capacitors units considering network voltage Security
| Title | Multi-objective feeder reconfiguration problem in the presence of distributed generation sources and capacitors units considering network voltage Security |
|---|---|
| Author | Benyamin Katanchi, Aliasghar Shojaei, Mahdi Yaghoobi, Hossein Lotfi |
| Publication Place | Semnan University - Semnan University |
| Subject | distributed generation ; feeder reconfiguration ; modified gravitational search ; voltage security |
| Type | Periodical |
| Language | Arabic |
| Digital | Yes |
| Manuscript | No |
| Library: | Purdue University Libraries |
| Library Asset ID | ISSN: 2008-4854, EISSN: 2783-2538, DOI: 10.22075/jme.2023.27027.2266 |
| Record ID | cdi_doaj_primary_oai_doaj_org_article_f45241eb4ce24076bfd716c8a2c1c0eb |
| Notes | Distribution network reconfiguration is one of the well-known and effective strategies in the distribution networks which performs by the status management of the network switches in order to obtain a new optimal configuration for the feeders. This study formulates multi-objective distribution feeder reconfiguration in the presence of distributed generators and capacitors. Common objective functions in the Distribution network reconfiguration problem include power losses and voltage deviations, which are important goals in traditional distribution systems. Usually, less attention has been paid to the reliability and voltage security target functions. Therefore, the main objectives of this study are to improve the reliability and maintenance of voltage by solving the problem of Distribution network reconfiguration. The inherent complexities of the distribution network rearrangement problem have made it a serious challenge to provide a practical and robust solution to overcome the complexities of this problem, therefore, the improved gravitational search optimization algorithm to solve this problem Has been. In order to show the efficiency of the proposed method, it has been tested on a 33-bus test system.and the results are compared with theresults of using other evolutionary algorithms, such as particleswarm optimization and shuffled frog leaping |
| Atıf Kaynağı | DOAJ Directory of Open Access Journals |
| Bir Parçası Olduğu | مجله مدل سازی در مهندسی, 1402-04, Vol.21 (73), p.103-118 |
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