基于网格GIS平台和改进Fireworks算法的故障修复路径选择

Zheng Qian, Changhua Hu
{"title":"基于网格GIS平台和改进Fireworks算法的故障修复路径选择","authors":"Zheng Qian, Changhua Hu","doi":"10.1109/ITNEC.2019.8729359","DOIUrl":null,"url":null,"abstract":"How to quickly determine the best repair path is of great significance for ensuring the reliability of power supply. In this paper, the GIS platform with multi-system data is built, and the mathematical model of optimal path selection for fault repair is constructed by using the weighted vector diagram of the platform. A new intelligent algorithm, fireworks algorithm, is introduced in this paper, aiming at the determination of unstable initialization of the algorithm, reverse initialization is proposed, and the elite selection is used to improve the convergence rate in the process of global optimization. In view of the local optimal determination in the late stage of the algorithm, The chaos operator is introduced to ensure the diversity of the algorithm and improve the accuracy of the algorithm. Finally, the improved fireworks algorithm is used to solve the optimal path mathematical model. The simulation results show that the optimal path selection of fault repair based on GIS platform and improved fireworks algorithm is more accurate and faster than particle swarm optimization algorithm.","PeriodicalId":202966,"journal":{"name":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Optimal Path Selection for Fault Repair Based on Grid GIS Platform and Improved Fireworks Algorithm\",\"authors\":\"Zheng Qian, Changhua Hu\",\"doi\":\"10.1109/ITNEC.2019.8729359\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"How to quickly determine the best repair path is of great significance for ensuring the reliability of power supply. In this paper, the GIS platform with multi-system data is built, and the mathematical model of optimal path selection for fault repair is constructed by using the weighted vector diagram of the platform. A new intelligent algorithm, fireworks algorithm, is introduced in this paper, aiming at the determination of unstable initialization of the algorithm, reverse initialization is proposed, and the elite selection is used to improve the convergence rate in the process of global optimization. In view of the local optimal determination in the late stage of the algorithm, The chaos operator is introduced to ensure the diversity of the algorithm and improve the accuracy of the algorithm. Finally, the improved fireworks algorithm is used to solve the optimal path mathematical model. The simulation results show that the optimal path selection of fault repair based on GIS platform and improved fireworks algorithm is more accurate and faster than particle swarm optimization algorithm.\",\"PeriodicalId\":202966,\"journal\":{\"name\":\"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-03-15\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ITNEC.2019.8729359\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 IEEE 3rd Information Technology, Networking, Electronic and Automation Control Conference (ITNEC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITNEC.2019.8729359","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

摘要

如何快速确定最佳修复路径,对于保证供电的可靠性具有重要意义。本文建立了多系统数据的GIS平台,利用平台的加权向量图构建了故障修复最优路径选择的数学模型。本文介绍了一种新的智能算法——烟花算法,针对算法初始化不稳定的判定,提出了逆向初始化,并利用精英选择提高全局优化过程中的收敛速度。针对算法后期的局部最优确定问题,引入混沌算子保证算法的多样性,提高算法的精度。最后,利用改进的烟花算法求解最优路径数学模型。仿真结果表明,基于GIS平台和改进烟花算法的故障修复最优路径选择比粒子群算法更准确、更快。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal Path Selection for Fault Repair Based on Grid GIS Platform and Improved Fireworks Algorithm
How to quickly determine the best repair path is of great significance for ensuring the reliability of power supply. In this paper, the GIS platform with multi-system data is built, and the mathematical model of optimal path selection for fault repair is constructed by using the weighted vector diagram of the platform. A new intelligent algorithm, fireworks algorithm, is introduced in this paper, aiming at the determination of unstable initialization of the algorithm, reverse initialization is proposed, and the elite selection is used to improve the convergence rate in the process of global optimization. In view of the local optimal determination in the late stage of the algorithm, The chaos operator is introduced to ensure the diversity of the algorithm and improve the accuracy of the algorithm. Finally, the improved fireworks algorithm is used to solve the optimal path mathematical model. The simulation results show that the optimal path selection of fault repair based on GIS platform and improved fireworks algorithm is more accurate and faster than particle swarm optimization algorithm.
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
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信