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Systems and methods for automatic real-time capacity assessment for use in real-time power analytics of an electrical power distribution system

  • US 8,959,006 B2
  • Filed: 04/12/2007
  • Issued: 02/17/2015
  • Est. Priority Date: 03/10/2006
  • Status: Active Grant
First Claim
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1. A system for conducting a real-time power capacity assessment of an electrical system, the system comprising:

  • a data acquisition component communicatively connected to at least one sensor configured to acquire real-time data output from a plurality of components of the electrical system;

    a power analytics server communicatively connected to the data acquisition component, the power analytics server comprisinga virtual system modeling engine configured to generate predicted data output for the electrical system utilizing a virtual system model of the electrical system, wherein the virtual system model comprises virtual component data representing each of the plurality of components of the electrical system,an analytics engine configured tomonitor the real-time data output and the predicted data output of the electrical system,determine a difference between the real-time data output and the predicted data output,if the difference exceeds a first threshold but not a second threshold that is higher than the first threshold, initiate a calibration and synchronization operation to update the virtual system model in real-time, wherein updating the virtual system model comprises adjusting operational parameters of the virtual system model that replicate operation of the at least one sensor,if the difference does not exceed the first threshold, not initiate the calibration and synchronization operation, and,if the difference exceeds the second threshold, generate an alarm, anda machine learning engine configured to store and process patterns observed from the real-time data output and the predicted data output, the machine learning engine further configured to forecast power capacity of the electrical system subjected to a contingency event; and

    a client terminal communicatively connected to the power analytics server, the client terminal configured to allow for the selection of the contingency event and display a report of the forecasted power capacity.

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