Continuous condition monitoring of transformers

• US 20100188240A1
• Filed: 01/22/2010
• Published: 07/29/2010
• Est. Priority Date: 01/29/2009
• Status: Active Grant

• Current Assignee: OSISoft Incorporated (Schneider Electric SE)
• Original Assignee: OSISoft Incorporated (Schneider Electric SE)
• Inventors: Wells, Charles H.
• Granted Patent: US 7,961,112 B2
• Time in Patent Office: Days
• US Class Current: 340/660
• CPC Class Codes: G01R 31/62 Testing of transformers
• CPC Class Codes: H02H 7/045 Differential protection of transformers

Abstract

A device and method for monitoring the condition of an electrical power transformer in an electrical power grid synchronously measures current and voltage data at both a high voltage side of the transformer and a low-voltage side of the transformer and computes from this measured data corresponding transformer impedance data. These measurements and computations are repeated continuously in real time at a rates up to 30 Hz to provide a sequence of real-time transformer impedance data. An alarm signal is generated if a mean of the sequence of real-time transformer impedance data changes significantly.

Claims

1. A method for monitoring the condition of an electrical power transformer, the method comprising:

a) measuring current and voltage data at terminals of the transformer, wherein the current and voltage data comprise both current and voltage data measured at terminals on a high voltage side of the transformer and current and voltage data measured at terminals on a low-voltage side of the transformer;

b) computing from the measured current and voltage data corresponding transformer impedance data;

c) repeating (a) and (b) continuously in real time to provide a temporal sequence of real-time transformer impedance data comprising the computed transformer impedance data; and

d) calculating from the temporal sequence of real-time transformer impedance data a moving average of transformer impedance; and

e) generating an alarm signal if recent transformer impedance values in the temporal sequence depart from the calculated moving average by a predetermined amount.

2. The method of claim 1 wherein the measuring is performed while the transformer is in service.

3. The method of claim 1 wherein the measured current and voltage data do not contain injected test signals.

4. The method of claim 1 wherein the current and voltage data comprise 6 high-side phasor values and 6 low-side phasor values measured from three high-voltage terminals and three low-voltage terminals, respectively.

5. The method of claim 1 wherein the current and voltage data comprise real and imaginary components measured at each of the terminals.

6. The method of claim 1 wherein the computed impedance data comprises 9 impedances representing impedances between three high-voltage terminals and three low-voltage terminals.

7. The method of claim 1 wherein the measured current and voltage data are measured synchronously.

8. The method of claim 1 wherein the measured current and voltage data are measured synchronously to within 1 microsecond.

9. The method of claim 1 wherein step (a) is repeated at a rate of at least 30 Hz and step (b) is repeated at a rate of at least 1 Hz.

10. The method of claim 1 wherein the moving average is calculated within a time window of at least 1 second.

11. The method of claim 1 wherein the generating the alarm signal comprises triggering an alarm if a most recent transformer impedance values differ from the calculated moving average by more than three standard deviations.

12. The method of claim 1 wherein the generating the alarm signal comprises triggering an alarm if multiple consecutive recent transformer impedance values differ from the calculated moving average by more than two standard deviations.

13. The method of claim 1 wherein the generating the alarm signal comprises triggering an alarm if multiple consecutive recent transformer impedance values are all greater than the calculated moving average.

14. The method of claim 1 further comprising computing a load duration curve, and detecting a duration of an abnormal load.

15. The method of claim 1 further comprising computing a fast Fourier transform of secondary loads.