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Center for Nonlinear Studies |
The smart grid efforts are focused, among other tasks, on getting better use of abundant data coming from substations, feeders/transmission lines, loads and generators equipped with advanced intelligent electronic devices (IEDs) such as digital protective relays, digital fault recorders, remote terminal units of SCADA, phasor measurement units, smart meters, equipment monitors, etc. As the amount of the smart grid data increases in the future, it becomes critical that the data integration and conversion to information be performed automatically. A major challenge remains to convert information into actionable knowledge. This requires full understanding of the cause-effect relationship between data and knowledge, often termed “Translational Knowledge”. This lecture focuses on better understanding the features of the data recording issues such as front-end data processing, accuracy, time synchronization, and eventually the conversion of data to information. Several smart grid applications enabled by the translational knowledge approach are discussed and open issues are mentioned.
Host: Misha Chertkov, chertkov@lanl.gov, 665-8119