Nickolas Gellerman, P. Ranganathan, Ranganath Vallakati, Anupam Mukherjee
{"title":"User interface for situational awareness of openPDC","authors":"Nickolas Gellerman, P. Ranganathan, Ranganath Vallakati, Anupam Mukherjee","doi":"10.1109/NAPS.2014.6965418","DOIUrl":null,"url":null,"abstract":"This paper uses complex phasor data (voltage, current and phase angle) from openPDC for situational awareness of the SmartGrid. Alarm notification features through E-mail and Short message service (SMS) on various parameters of Phasor Measurement Units (PMU) data has been developed in C# programming as an extension to the existing openPDC software functionalities. In addition, realtime display of PMU data based on the geographical locations of PMU is developed for openPDC software and is presented within a Google Maps-based Windows Forms application. The paper also discusses how to process the PMU data using a k-means clustering algorithm.","PeriodicalId":421766,"journal":{"name":"2014 North American Power Symposium (NAPS)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 North American Power Symposium (NAPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/NAPS.2014.6965418","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4
Abstract
This paper uses complex phasor data (voltage, current and phase angle) from openPDC for situational awareness of the SmartGrid. Alarm notification features through E-mail and Short message service (SMS) on various parameters of Phasor Measurement Units (PMU) data has been developed in C# programming as an extension to the existing openPDC software functionalities. In addition, realtime display of PMU data based on the geographical locations of PMU is developed for openPDC software and is presented within a Google Maps-based Windows Forms application. The paper also discusses how to process the PMU data using a k-means clustering algorithm.