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学术讲座通知:Robust Power Line Outage Detection with Unreliable Phasor Measurements

发布时间:2017-06-19 18:16  浏览:619次

     应网络与交换技术国家重点实验室谢东亮教授的邀请,美国纽约州立大学Xin Wang教授将于6月22日(星期四)来北京邮电大学作学术报告。欢迎校内广大师生踊跃参加。

 

     讲座题目:Robust Power Line Outage Detection with Unreliable Phasor Measurements

     主讲人:Xin Wang教授

     主持人:谢东亮教授

     时间:2017622日(星期四)上午10:00——12:00

     地点:新科研楼610会议室

            

Abstract

Phasor Measurement Units (PMUs) provide high precision data at high sampling rates to support Smart Grid applications. Power Line Outage detection mechanisms can enhance the grid reliability by assisting power operators in taking proper control actions. Despite the potential provided by PMUs, there are very limited efforts on exploiting data available to more effectively detect outages. Conventional outage detection schemes are mostly designed based on simplified power models, and the limited work on detection with data either assume all the measurement samples are available or ignore the missing entries. Their performance suffers in the complex grid conditions in the presence of missing data. In this paper, we design a detection mechanism considering unreliable data, in the form of missing data samples. Detection is performed through the grouping of nodes according to their data availability and their learned detection capabilities. To enable the robust detection of power line outages, we propose learning outage characteristics for each individual node instead of specific single line outage scenarios. Our results show that the outages detected are highly consistent with the evaluated failures under different scenarios, with high accuracy and low false positive rates. Moreover, the detection application is resilient to unreliable data, and can properly differentiate data problems from physical power line failures.  

 
 
网络与交换技术国家重点实验室
2017年6月19日