基于改进遗传算法的包括分布式发电机在内的配电网故障定位研究

2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization Pub Date : 2012-11-12 DOI:10.1109/ICSSEM.2012.6340819

Youjun Yue, Yunlei Zhao, Hui Zhao, Hongjun Wang

{"title":"基于改进遗传算法的包括分布式发电机在内的配电网故障定位研究","authors":"Youjun Yue, Yunlei Zhao, Hui Zhao, Hongjun Wang","doi":"10.1109/ICSSEM.2012.6340819","DOIUrl":null,"url":null,"abstract":"In the distribution network fault section positioning, the standard genetic algorithm can be used effectively. But the network including Distributed Generator power supply has its own characteristics, and the genetic algorithm appear some defects. Therefore, aiming at accurate positioning of faults in the network including DGs, the genetic algorithm coding and fitness function are improved in the paper. Through simulation, the effectiveness of the proposed algorithm is verified.","PeriodicalId":115037,"journal":{"name":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","volume":"110 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-11-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"A study of distribution network fault location including Distributed Generator based on improved genetic algorithm\",\"authors\":\"Youjun Yue, Yunlei Zhao, Hui Zhao, Hongjun Wang\",\"doi\":\"10.1109/ICSSEM.2012.6340819\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In the distribution network fault section positioning, the standard genetic algorithm can be used effectively. But the network including Distributed Generator power supply has its own characteristics, and the genetic algorithm appear some defects. Therefore, aiming at accurate positioning of faults in the network including DGs, the genetic algorithm coding and fitness function are improved in the paper. Through simulation, the effectiveness of the proposed algorithm is verified.\",\"PeriodicalId\":115037,\"journal\":{\"name\":\"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization\",\"volume\":\"110 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-11-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSSEM.2012.6340819\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSSEM.2012.6340819","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 6

摘要

在配电网故障区段定位中，可以有效地利用标准遗传算法。但是包括分布式发电机组在内的网络有其自身的特点，遗传算法存在一定的缺陷。因此，针对包含dg的网络中故障的准确定位，本文对遗传算法编码和适应度函数进行了改进。通过仿真验证了该算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

A study of distribution network fault location including Distributed Generator based on improved genetic algorithm

In the distribution network fault section positioning, the standard genetic algorithm can be used effectively. But the network including Distributed Generator power supply has its own characteristics, and the genetic algorithm appear some defects. Therefore, aiming at accurate positioning of faults in the network including DGs, the genetic algorithm coding and fitness function are improved in the paper. Through simulation, the effectiveness of the proposed algorithm is verified.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 3rd International Conference on System Science, Engineering Design and Manufacturing Informatization

自引率

0.00%

发文量