E. Campitelli, L. da Silva, R. Pereira, J. Mantovani
{"title":"过流保护装置布置与协调交互系统","authors":"E. Campitelli, L. da Silva, R. Pereira, J. Mantovani","doi":"10.1109/TDCLA.2006.311636","DOIUrl":null,"url":null,"abstract":"In this paper, an expert and interactive system for developing protection system for overhead and radial distribution feeders is proposed, in this system the protective devices can be allocated through heuristic and an optimized way. In the latter one, the placement problem is modeled as a mixed integer non-linear programming, which is solved by genetic algorithm (GA). Using information stored in a database as well as a knowledge base, the computational system is able to obtain excellent conditions of selectivity and coordination for improving the feeder reliability indices. Tests for assessment of the algorithm efficiency were carried out using a real-life 660-nodes feeder","PeriodicalId":406067,"journal":{"name":"2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2006-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Interactive System for Placement and Coordination of Overcurrent Protective Devices\",\"authors\":\"E. Campitelli, L. da Silva, R. Pereira, J. Mantovani\",\"doi\":\"10.1109/TDCLA.2006.311636\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper, an expert and interactive system for developing protection system for overhead and radial distribution feeders is proposed, in this system the protective devices can be allocated through heuristic and an optimized way. In the latter one, the placement problem is modeled as a mixed integer non-linear programming, which is solved by genetic algorithm (GA). Using information stored in a database as well as a knowledge base, the computational system is able to obtain excellent conditions of selectivity and coordination for improving the feeder reliability indices. Tests for assessment of the algorithm efficiency were carried out using a real-life 660-nodes feeder\",\"PeriodicalId\":406067,\"journal\":{\"name\":\"2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2006-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TDCLA.2006.311636\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2006 IEEE/PES Transmission & Distribution Conference and Exposition: Latin America","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TDCLA.2006.311636","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Interactive System for Placement and Coordination of Overcurrent Protective Devices
In this paper, an expert and interactive system for developing protection system for overhead and radial distribution feeders is proposed, in this system the protective devices can be allocated through heuristic and an optimized way. In the latter one, the placement problem is modeled as a mixed integer non-linear programming, which is solved by genetic algorithm (GA). Using information stored in a database as well as a knowledge base, the computational system is able to obtain excellent conditions of selectivity and coordination for improving the feeder reliability indices. Tests for assessment of the algorithm efficiency were carried out using a real-life 660-nodes feeder