ISAAC: Intelligent synchrophasor data real-time compression framework for WAMS

Wenyu Ren, Timothy Yardley, Klara Nahrstedt

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Wide-Area Monitoring Systems (WAMS) have been widely accepted to provide real-time monitoring, protection, and control of power systems. The huge and rapidly increasing data volume in WAMS imposes a heavy burden on the communication and storage systems and could become the bottleneck for many real-time smart grid applications. This paper presents a framework for intelligent lossy compression in a real-time manner for synchrophasor data in WAMS. The proposed method is capable of achieving good compression ratios without introducing impractical delays and sacrificing much accuracy. Because disturbance data has much stricter delay and fidelity requirements, an early disturbance detection technique is introduced to identify disturbance data and handle it differently. The performance of the method is demonstrated by experiment results on real synchrophasor data collected from multiple substations.

Original languageEnglish (US)
Title of host publication2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages430-436
Number of pages7
ISBN (Electronic)9781538640555
DOIs
StatePublished - Apr 17 2018
Event2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017 - Dresden, Germany
Duration: Oct 23 2017Oct 26 2017

Publication series

Name2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
Volume2018-January

Other

Other2017 IEEE International Conference on Smart Grid Communications, SmartGridComm 2017
CountryGermany
CityDresden
Period10/23/1710/26/17

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Energy Engineering and Power Technology
  • Safety, Risk, Reliability and Quality

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