Title : 
Statistical Analysis of Abnormal Electric Power Grid Behavior
         
        
            Author : 
Ferryman, Thomas A. ; Amidan, Brett G.
         
        
            Author_Institution : 
Pacific Northwest Nat. Lab., Richland, WA, USA
         
        
        
        
        
            Abstract : 
Pacific Northwest National Laboratory is developing a technique to analyze Phasor Measurement Unit data to identify typical patterns, atypical events, and precursors to a blackout or other undesirable event. The technique combines data-driven multivariate analyses and engineering-modeling. The method identifies atypical events, provides a plain English description of the event, and gives the capability to use drill-down graphics for detailed investigations. The tool can be applied to the entire grid, individual organizations (e.g., TVA, BPA), or specific substations (e.g., TVA_CUMB). The tool is envisioned for (1) event investigations, (2) overnight processing to generate a Morning Report that characterizes activity that has occurred during the previous 10-30 days, and (3) potentially near-real-time operation to support the grid operators. This paper presents the current status of the tool and illustrations of its application to real world PMU data collected in three 10-day periods in 2007.
         
        
            Keywords : 
power grids; substations; Pacific Northwest National Laboratory; abnormal electric power grid behavior; data-driven multivariate analyses; phasor measurement; statistical analysis; substations; time 10 day to 30 day; Data analysis; Data engineering; Graphics; Laboratories; Pattern analysis; Phasor measurement units; Power engineering and energy; Power systems; Statistical analysis; Substations;
         
        
        
        
            Conference_Titel : 
System Sciences (HICSS), 2010 43rd Hawaii International Conference on
         
        
            Conference_Location : 
Honolulu, HI
         
        
        
            Print_ISBN : 
978-1-4244-5509-6
         
        
            Electronic_ISBN : 
1530-1605
         
        
        
            DOI : 
10.1109/HICSS.2010.349