Multi-objective feeder reconfiguration problem in the presence of distributed generation sources and capacitors units considering network voltage Security | Kütüphane.osmanlica.com

Multi-objective feeder reconfiguration problem in the presence of distributed generation sources and capacitors units considering network voltage Security

İsim Multi-objective feeder reconfiguration problem in the presence of distributed generation sources and capacitors units considering network voltage Security
Yazar Benyamin Katanchi
Konu distributed generation, feeder reconfiguration, modified gravitational search, voltage security
Tür Belge
Dil Belirlenmemiş dil
Dijital Evet
Yazma Hayır
Kütüphane: Belfast Kraliçe Üniversitesi Kütüphaneleri
Demirbaş Numarası ISSN: 2008-4854, EISSN: 2783-2538, DOI: 10.22075/jme.2023.27027.2266
Kayıt Numarası cdi_doaj_primary_oai_doaj_org_article_f45241eb4ce24076bfd716c8a2c1c0eb
Açıklama 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
Şuna bir parçasıdır مجله مدل سازی در مهندسی, 1402-04, Vol.21 (73), p.103-118
Kaynak DOAJ Directory of Open Access Journals
Kaynağa git Belfast Kraliçe Üniversitesi Kütüphaneleri The Queen's University of Belfast Libraries
The Queen's University of Belfast Libraries Belfast Kraliçe Üniversitesi Kütüphaneleri
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Multi-objective feeder reconfiguration problem in the presence of distributed generation sources and capacitors units considering network voltage Security

Yazar Benyamin Katanchi
Konu distributed generation, feeder reconfiguration, modified gravitational search, voltage security
Tür Belge
Dil Belirlenmemiş dil
Dijital Evet
Yazma Hayır
Kütüphane Belfast Kraliçe Üniversitesi Kütüphaneleri
Demirbaş Numarası ISSN: 2008-4854, EISSN: 2783-2538, DOI: 10.22075/jme.2023.27027.2266
Kayıt Numarası cdi_doaj_primary_oai_doaj_org_article_f45241eb4ce24076bfd716c8a2c1c0eb
Açıklama 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
Şuna bir parçasıdır مجله مدل سازی در مهندسی, 1402-04, Vol.21 (73), p.103-118
Kaynak DOAJ Directory of Open Access Journals
The Queen's University of Belfast Libraries
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