Yuhao Sun, Xuebing Chen, Shiliang Yang, Rusli, K. Tseng, G. Amaratunga
{"title":"Micro PMU based monitoring system for active distribution networks","authors":"Yuhao Sun, Xuebing Chen, Shiliang Yang, Rusli, K. Tseng, G. Amaratunga","doi":"10.1109/PEDS.2017.8289180","DOIUrl":null,"url":null,"abstract":"Distribution systems are evolving into active networks due to the high penetration of distributed generation in recent years. Micro Phasor Measurement Unit (μPMU) is capable of providing super-fast and accurate synchronised phasor mea-surements, and eligible for distribution networks applications. This paper introduces a project aiming to develop a μPMU based monitoring system for distribution networks. In this project, parallel computation method is proposed for big data screening, gathering and processing. This paper takes linear state estimation as an example to show the improvement of parallel computation on big data processing.","PeriodicalId":411916,"journal":{"name":"2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"14","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 12th International Conference on Power Electronics and Drive Systems (PEDS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PEDS.2017.8289180","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 14
Abstract
Distribution systems are evolving into active networks due to the high penetration of distributed generation in recent years. Micro Phasor Measurement Unit (μPMU) is capable of providing super-fast and accurate synchronised phasor mea-surements, and eligible for distribution networks applications. This paper introduces a project aiming to develop a μPMU based monitoring system for distribution networks. In this project, parallel computation method is proposed for big data screening, gathering and processing. This paper takes linear state estimation as an example to show the improvement of parallel computation on big data processing.