{"title":"基于统一计算资源池的配电网状态评估技术","authors":"Zhensheng Wu, Lina Mao, Kemeng Li, Siwei He","doi":"10.1109/ACPEE53904.2022.9783999","DOIUrl":null,"url":null,"abstract":"The operating status of the distribution network changes frequently, obtaining comprehensive and accurate data for fast and effective state estimation has become an inevitable trend in current development. Currently, there are many data sources in the distribution network, but they are not effectively fused and processed, which makes the reliable implementation of condition assessment technology difficult. In this paper, the data are fused and processed by a unified pool of computing resources, and the measurement terminals are optimally configured to improve the comprehensiveness and accuracy of the measurement data, thus laying a solid foundation for the state estimation of the distribution network.","PeriodicalId":118112,"journal":{"name":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Power Distribution network state assessment technology based on unified computing resource pool\",\"authors\":\"Zhensheng Wu, Lina Mao, Kemeng Li, Siwei He\",\"doi\":\"10.1109/ACPEE53904.2022.9783999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The operating status of the distribution network changes frequently, obtaining comprehensive and accurate data for fast and effective state estimation has become an inevitable trend in current development. Currently, there are many data sources in the distribution network, but they are not effectively fused and processed, which makes the reliable implementation of condition assessment technology difficult. In this paper, the data are fused and processed by a unified pool of computing resources, and the measurement terminals are optimally configured to improve the comprehensiveness and accuracy of the measurement data, thus laying a solid foundation for the state estimation of the distribution network.\",\"PeriodicalId\":118112,\"journal\":{\"name\":\"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-04-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACPEE53904.2022.9783999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 7th Asia Conference on Power and Electrical Engineering (ACPEE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACPEE53904.2022.9783999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Power Distribution network state assessment technology based on unified computing resource pool
The operating status of the distribution network changes frequently, obtaining comprehensive and accurate data for fast and effective state estimation has become an inevitable trend in current development. Currently, there are many data sources in the distribution network, but they are not effectively fused and processed, which makes the reliable implementation of condition assessment technology difficult. In this paper, the data are fused and processed by a unified pool of computing resources, and the measurement terminals are optimally configured to improve the comprehensiveness and accuracy of the measurement data, thus laying a solid foundation for the state estimation of the distribution network.