Systems and methods for performing automatic real-time harmonics analyses for use in real-time power analytics of an electrical power distribution system

• US 8,036,872 B2
• Filed: 04/12/2007
• Issued: 10/11/2011
• Est. Priority Date: 03/10/2006
• Status: Expired due to Fees

• Current Assignee: Power Analytics Corporation (PAC Global, Inc.)
• Original Assignee: EDSA Micro Corporation (PAC Global, Inc.)
• Inventors: Nasle, Adib
• Primary Examiner(s): Shah; Kamini S
• Assistant Examiner(s): PATEL, SHAMBHAVI K
• Application Number:
  US11/734,709
• Publication Number:
  US 20070285079A1
• Time in Patent Office: 1,643 Days
• Field of Search: 700/286, 700/11, 700/19, 700/292, 700/295, 702/60, 702/61, 703/2, 703/12, 703/18
• US Class Current: 703/18
• CPC Class Codes: G01R 23/16 Spectrum analysis; Fourier analysis
• CPC Class Codes: G06F 2111/02 CAD in a network environment, e.g. collaborative CAD or distributed simulation
• CPC Class Codes: G06F 2119/06 Power analysis or power optimisation
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

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.

Claims

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 in real-time when a difference between the real-time data output and the predicted data output exceeds a threshold, the calibration and synchronization operation including adjusting operating parameters of the virtual system model that replicate operation of the sensor based on real-time output acquired from the sensor configured to acquire real-time data output from the electrical system, 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.

2. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the machine learning engine is comprised of:

an associative memory layer;

a sensory layer; and

a neocortical model.

3. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the harmonic distortions is comprised of voltage and current harmonics within the electrical system.

4. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the updated virtual system model is compliant with IEEE Standard 519 requirements.

5. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the updated virtual system model is compliant with MIL Standard 1399 requirements.

6. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the updated virtual system model accounts for generator, cable and motor “

skin”

effect.

7. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the updated virtual system model accounts for transformer phase shifting.

8. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the updated virtual system model accounts for generator impedance.

9. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the updated virtual system model accounts for synchronous and induction motor impedance.

10. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the contingency event is the addition of a device to the electrical system, wherein the device generates one of a current harmonic frequency or a voltage harmonic frequency.

11. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 10, wherein the device effectuates a non-linear load on the electrical system.

12. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 10, wherein the device is an AC/DC motor drive.

13. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 10, wherein the device is an arc furnace.

14. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 10, wherein the device is a variable frequency drive.

15. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 10, wherein the device has a diode-capacitor input power supply.

16. The system for performing real-time harmonics analysis of an electrical system, as recited in claim 10, wherein the device is an uninterruptible power supply.

17. The system for conducting real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the report includes a forecast of total harmonic distortion levels in the electrical system.

18. The system for conducting real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the report includes a forecast of wave-shape oscillations in the electrical system.

19. The system for conducting real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the report includes a forecast of parallel and series resonance conditions in the electrical system.

20. The system for conducting real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the report includes a forecast of true RMS loading of lines, transformers and capacitors in the electrical system.

21. The system for conducting real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the report includes a forecast of negative sequence harmonics being absorbed by the AC motors in the electrical system.

22. The system for conducting real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the report includes a forecast of the transformer K-Factor levels in the electrical system.

23. The system for conducting real-time harmonics analysis of an electrical system, as recited in claim 1, wherein the report includes a forecast of the frequency scan at positive, negative, and zero angle response throughout the entire scanned spectrum in the electrical system.

24. A method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, comprising:

acquiring real-time data from the electrical system;

generating predicted data output for the electrical system using a virtual system model of the electrical system;

updating the virtual system model of the electrical system in response to the real-time data, wherein the virtual system model includes harmonic frequency modeling data for components comprising the electrical system, and wherein updating the virtual system model further comprises identifying differences between the real-time data and predicted data output generated using the virtual system model, and calibrating the virtual system model in real-time if the differences exceed the threshold, and wherein calibrating the virtual system model includes adjusting operating parameters of the virtual system model that replicate operation of a sensor configured to acquire real-time data output from the electrical system based on real-time output acquired from the sensor;

storing and processing patterns observed from the real-time data output and the predicted data output;

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.

25. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the harmonic frequency modeling data includes generator, cabling and motor effects data.

26. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the harmonic frequency modeling data includes transformer phase shifting data.

27. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the harmonic frequency modeling data includes synchronous and induction motor impedance data.

28. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the updated virtual system model is compliant with IEEE Standard 519 requirements.

29. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the updated virtual system model is compliant with MIL Standard 1399 requirements.

30. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the contingency event is the addition of a device to the electrical system, wherein the device generates one of a current harmonic frequency or a voltage harmonic frequency.

31. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 30, wherein the device effectuates a non-linear load on the electrical system.

32. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 30, wherein the device is an AC/DC motor drive.

33. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 30, wherein the device is an arc furnace.

34. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 30, wherein the device is a variable frequency drive.

35. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 30, wherein the device has a diode-capacitor input power supply.

36. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 30, wherein the device is an uninterruptible power supply.

37. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the report includes a forecast of total harmonic distortion levels in the electrical system.

38. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the report includes a forecast of wave-shape oscillations in the electrical system.

39. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the report includes a forecast of parallel and series resonance conditions in the electrical system.

40. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the report includes a forecast of true RMS loading of lines, transformers and capacitors in the electrical system.

41. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the report includes a forecast of negative sequence harmonics being absorbed by the AC motors in the electrical system.

42. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the report includes a forecast of the transformer K-Factor levels in the electrical system.

43. The method for performing real-time harmonics analysis of an electrical system subjected to a contingency event, as recited in claim 24, wherein the report includes a forecast of the frequency scan at positive, negative, and zero angle response throughout the entire scanned spectrum in the electrical system.