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 Date: 1402
Publication Place - Semnan University, 1402.
Subject feeder reconfiguration, distributed generation, voltage security, modified gravitational search, Engineering design, TA174
Type Periodical
Language Persian
Digital Yes
Manuscript No
Physical Dimensions electronic resource
Library: Bursa Uludağ University Library
Library Asset ID edsdoj.f45241eb4ce24076bfd716c8a2c1c0eb
Record ID jvamdbca5f
Library Location LCC:Engineering design
Date 1402
Sample Text 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
DOI 10.22075/jme.2023.27027.2266
ISSN 2008-4854, 2783-2538
İlişki https://modelling.semnan.ac.ir/article_7769_98cb6e5e1cb8ceaacbaa5625d552b295.pdf; https://doaj.org/toc/2008-4854; https://doaj.org/toc/2783-2538
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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 Date 1402
Publication Place - Semnan University, 1402.
Subject feeder reconfiguration, distributed generation, voltage security, modified gravitational search, Engineering design, TA174
Type Periodical
Language Persian
Digital Yes
Manuscript No
Physical Dimensions electronic resource
Library Bursa Uludağ University Library
Library Asset ID edsdoj.f45241eb4ce24076bfd716c8a2c1c0eb
Record ID jvamdbca5f
Library Location LCC:Engineering design
Date 1402
Sample Text 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
DOI 10.22075/jme.2023.27027.2266
ISSN 2008-4854, 2783-2538
İlişki https://modelling.semnan.ac.ir/article_7769_98cb6e5e1cb8ceaacbaa5625d552b295.pdf; https://doaj.org/toc/2008-4854; https://doaj.org/toc/2783-2538
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