{"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}
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.