Data-driven power system operations

E. H. Abed, N. S. Namachchivaya, T. J. Overbye, M. A. Pai, P. W. Sauer, A. Sussman

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


In operations, simulation and control of power systems, the presence of real-time data relating to system states can yield precise forecasts and can enable robust active control. In this research we are developing efficient and robust methods to produce "data enhanced" reduced order models and filters for large-scale power systems. The application that this paper focuses on is the creation of new data-driven tools for electric power system operation and control. The applications systems include traditional SCADA systems as well as emerging PMU data concentrators. A central challenge is to provide near real-time condition assessment for "extreme events," as well as long-term assessment of the deterioration of the electrical power grid. In order to provide effective guidance for power system control, we are also developing visualization methods for integrating multiple data sets. These visualization methods provide an up-to-date view of the system state, and guide operator-initiated power system control.

Original languageEnglish (US)
Title of host publicationComputational Science - ICCS 2006
Subtitle of host publication6th International Conference, Proceedings
Number of pages8
ISBN (Print)3540343830, 9783540343837
StatePublished - 2006
EventICCS 2006: 6th International Conference on Computational Science - Reading, United Kingdom
Duration: May 28 2006May 31 2006

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3993 LNCS - III
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


OtherICCS 2006: 6th International Conference on Computational Science
Country/TerritoryUnited Kingdom

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science


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