Title :
Wide area monitoring using Common Information Model and Sensor Web
Author :
Dahal, N. ; Mohan, V.M. ; Durbha, S.S. ; Srivastava, A.K. ; King, R.L. ; Younan, N.H. ; Schulz, N.N.
Author_Institution :
Mississippi State Univ., Starkville, MS
Abstract :
Real-time monitoring of power systems has become a reality with the use of phasor measurement units (PMU). Wide-area monitoring of the power system in a de-regularized world requires neighboring utilities´ to share data with each other. Sharing data is a difficult process as different utilities use different software applications that store data in their own proprietary data-formats. To minimize the data format constraints, EPRI (U.S. Electric Power Research Institute) developed the Common Information Model (CIM) for power systems. Using CIM as a common format for data from different utilities, the disparate applications can work together. Further, these CIM data can be stored in a data concentrator application like sensor Web that obtains these messages from different utilities and sorts and stores them in a central repository. The data from this repository can be used to perform tasks like state estimation and contingency analysis.
Keywords :
electricity supply industry deregulation; power engineering computing; power system measurement; power system state estimation; common information model; contingency analysis; phasor measurement units; power system real-time monitoring; sensor Web; state estimation; wide area monitoring; Application software; Computer integrated manufacturing; IEC standards; Monitoring; Phasor measurement units; Power system analysis computing; Power system measurements; Power system modeling; Power system planning; State estimation; CIM; Sensor Web; data integration; power system state estimation; wide area networks;
Conference_Titel :
Power Systems Conference and Exposition, 2009. PSCE '09. IEEE/PES
Conference_Location :
Seattle, WA
Print_ISBN :
978-1-4244-3810-5
Electronic_ISBN :
978-1-4244-3811-2
DOI :
10.1109/PSCE.2009.4840207