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dc.contributor.authorRivas Giménez, Ricardo
dc.contributor.authorChaparro Viveros, Enrique Ramón
dc.date.accessioned2020-08-17T03:07:59Z
dc.date.accessioned2022-02-22T12:13:52Z
dc.date.available2020-08-17T03:07:59Z
dc.date.available2022-02-22T12:13:52Z
dc.date.issued2020-07
dc.identifier.isbn978-958-52071-4-1
dc.identifier.issn2414-6390
dc.identifier.otherhttp://laccei.org/LACCEI2020-VirtualEdition/meta/FP97.html
dc.identifier.urihttp://dx.doi.org/10.18687/LACCEI2020.1.1.97
dc.identifier.urihttp://axces.info/handle/10.18687/20200101_97
dc.description.abstractThe present work deals with the problem of restoration of a radial and balanced Electric Distribution System, that after an event causes the programmed disconnection, or not programmed, remains with one or several stretches of feeders without power. The load restoration methodology uses the automatic reconfiguration algorithm, establishing a new arrangement of closed and open interruptors that modifies the topology, seeking the reconfiguration for energy restoration that simultaneously optimizes two objectives: the load to be restored and the number of possible maneuvers. Both objectives are simultaneously optimized by the Genetic Algorithm, adapted for multi-objective optimization through the weighted sum of objective functions. In order to validate the proposed method, three electric distribution system were considered, two small size academics systems and one medium scale real system, belonging to the ANDE distribution system. The restoration results, obtained in a substantially reduced computational time, demonstrate the efficiency of the proposed method, which could be a useful tool in load dispatch and operation planning.en_US
dc.language.isoEnglishen_US
dc.publisherLACCEI Inc.en_US
dc.rightsLACCEI License
dc.rights.urihttps://laccei.org/blog/copyright-laccei-papers/
dc.subjectRadial distribution systemen_US
dc.subjectRestorationen_US
dc.subjectReconfigurationen_US
dc.subjectMulti-objective optimizationen_US
dc.subjectGenetic Algorithmen_US
dc.titleOptimum Restoration of Radial Electric Distribution Networks Using Multi-Objective Genetic Algorithms
dc.typeArticleen_US
dc.description.countryParaguayen
dc.description.institutionANDEen
dc.description.trackEngineering Design, Engineering Materials and Engineering Innovationen
dc.journal.referatopeerReview


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  • 2020 LACCEI - Virtual Edition
    The Eighteen LACCEI International Multi-Conference for Engineering, Education Caribbean Conference for Engineering and Technology.

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