html{display:none} Power System Big Data Challenges | Schweitzer Engineering Laboratories
recorded webinar

Power System Big Data Challenges

Date held: May 17, 2017

The term “big data” is defined as “extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations.” It requires processing multitudes of information with new and different techniques to extract analytic information. Big data has moved into almost every industry that exists.

In this webinar, we will focus on two primary areas that big data relates to the power industry: aggregating data sets and analyzing these data sets.

This webinar will also explain the following concepts as they relate to solving big data challenges:

  • NERC PRC-002-2: Disturbance Monitoring and Reporting Requirements. This standard requires the aggregation of information for analysis as it pertains to certain equipment in the power system.
  • Reanalyzing SCADA Information. With additional processing power and connectivity, there are new opportunities to process and take action on SCADA information that has been aggregated for decades.
  • Patterns, Trends, and Associations. There is a wide breadth of information not integrated into SCADA systems that is available in substations and recloser cabinets. This information can be used to do more than make momentary operational decisions; it can be analyzed over periods of time to learn and realize more about the equipment installed in our power system.