SYSTEMS AND METHODS FOR PERFORMING AUTOMATIC REAL-TIME HARMONICS ANALYSES FOR USE IN REAL-TIME POWER ANALYTICS OF AN ELECTRICAL POWER DISTRIBUTION SYSTEM
First Claim
1. A system for performing real-time harmonics analysis of an electrical system, comprising:
- a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system;
a power analytics server communicatively connected to the data acquisition component, comprising, a virtual system modeling engine configured to generate predicted data output for the electrical system utilizing a virtual system model of the electrical system, an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, the analytics engine further configured to initiate a calibration and synchronization operation to update the virtual system model when a difference between the real-time data output and the predicted data output exceeds a threshold, and a 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 harmonic distortions in 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 harmonic distortions.
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Accused Products
Abstract
A system for conducting performing real-time harmonics analysis of an electrical power distribution and transmission system is disclosed. The system includes a data acquisition component, a power analytics server and a client terminal. The data acquisition component is communicatively connected to a sensor configured to acquire real-time data output from the electrical system. The power analytics server is communicatively connected to the data acquisition component and is comprised of a virtual system modeling engine, an analytics engine and a machine learning engine. The machine learning engine is configured to store and process patterns observed from the real-time data output and the predicted data output, forecasting harmonic distortions in the electrical system subjected to a simulated contingency event.
141 Citations
44 Claims
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1. A system for performing real-time harmonics analysis of an electrical system, comprising:
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a data acquisition component communicatively connected to a sensor configured to acquire real-time data output from the electrical system;
a power analytics server communicatively connected to the data acquisition component, comprising, a virtual system modeling engine configured to generate predicted data output for the electrical system utilizing a virtual system model of the electrical system, an analytics engine configured to monitor the real-time data output and the predicted data output of the electrical system, the analytics engine further configured to initiate a calibration and synchronization operation to update the virtual system model when a difference between the real-time data output and the predicted data output exceeds a threshold, and a 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 harmonic distortions in 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 harmonic distortions. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23)
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24. A method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, comprising:
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updating a virtual system model of the electrical system in response to real-time data, wherein the virtual system model includes harmonic frequency modeling data for components comprising the electrical system;
choosing a contingency event to simulate;
determining voltage and current harmonics generated within the electrical system by running an analysis of the updated virtual system model operating under conditions simulating the contingency event chosen; and
generating a report that forecasts voltage and current harmonics in the electrical system. - View Dependent Claims (25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44)
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Specification