Multi-Channel Recovery for Distributed Quality Management of Synchrophasor Data

Gyul Lee, Seon Hyeog Kim, Do In Kim, Austin White, Yong June Shin

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)


This paper presents a distributed synchrophasor data management (DSDM) technique for wide-area monitoring systems. The proposed technique focuses on managing voltage/current phasor data measured from a specific target bus by defining neighboring phasor measurement units (PMUs). We developed an algorithm for searching neighboring PMUs by interpreting the power network topology as a graph structure. By exploiting the data of neighboring PMUs, we constructed a multi-channel structure to recover low-quality entries by using the parallel implementation of long short-term memory networks. A successive output decision-making rule automatically determines the final output, considering the occurrence of defective input, data quality of the measured data, and operational conditions. The proposed DSDM can complement existing centralized management techniques by preserving information on local dynamics. In particular, because of the multi-channel structure, DSDM can provide robust responses to defective data in neighboring PMUs, such as an unintended change in a network topology. We verified the effectiveness of the DSDM with real-world synchrophasor data as well as simulated data from the IEEE 68-bus test system.

Original languageEnglish
Pages (from-to)2384-2396
Number of pages13
JournalIEEE Transactions on Power Systems
Issue number3
Publication statusPublished - 2022 May 1

Bibliographical note

Publisher Copyright:
© 1969-2012 IEEE.

All Science Journal Classification (ASJC) codes

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering


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