Optimum Restoration of Radial Electric Distribution Networks Using Multi-Objective Genetic Algorithms
| dc.contributor.author | Rivas Giménez, Ricardo | |
| dc.contributor.author | Chaparro Viveros, Enrique Ramón | |
| dc.date.accessioned | 2020-08-17T03:07:59Z | |
| dc.date.accessioned | 2022-02-22T12:13:52Z | |
| dc.date.available | 2020-08-17T03:07:59Z | |
| dc.date.available | 2022-02-22T12:13:52Z | |
| dc.date.issued | 2020-07 | |
| dc.description.abstract | The 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.description.country | Paraguay | en |
| dc.description.institution | ANDE | en |
| dc.description.track | Engineering Design, Engineering Materials and Engineering Innovation | en |
| dc.identifier.isbn | 978-958-52071-4-1 | |
| dc.identifier.issn | 2414-6390 | |
| dc.identifier.other | http://laccei.org/LACCEI2020-VirtualEdition/meta/FP97.html | |
| dc.identifier.uri | http://dx.doi.org/10.18687/LACCEI2020.1.1.97 | |
| dc.identifier.uri | https://axces.info/handle/10.18687/20200101_97 | |
| dc.journal.referato | peerReview | |
| dc.language.iso | English | en_US |
| dc.publisher | LACCEI Inc. | en_US |
| dc.rights | LACCEI License | |
| dc.rights.uri | https://laccei.org/blog/copyright-laccei-papers/ | |
| dc.subject | Radial distribution system | en_US |
| dc.subject | Restoration | en_US |
| dc.subject | Reconfiguration | en_US |
| dc.subject | Multi-objective optimization | en_US |
| dc.subject | Genetic Algorithm | en_US |
| dc.title | Optimum Restoration of Radial Electric Distribution Networks Using Multi-Objective Genetic Algorithms | |
| dc.type | Article | en_US |