CN117629300A - Power transformer winding fault detection method based on signal difference - Google Patents
Power transformer winding fault detection method based on signal difference Download PDFInfo
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- CN117629300A CN117629300A CN202311647228.5A CN202311647228A CN117629300A CN 117629300 A CN117629300 A CN 117629300A CN 202311647228 A CN202311647228 A CN 202311647228A CN 117629300 A CN117629300 A CN 117629300A
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- 238000004804 winding Methods 0.000 title claims abstract description 51
- 238000001514 detection method Methods 0.000 title claims abstract description 12
- 230000005856 abnormality Effects 0.000 claims abstract description 32
- 238000000034 method Methods 0.000 claims abstract description 14
- 230000002159 abnormal effect Effects 0.000 claims description 23
- 238000005070 sampling Methods 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 239000002131 composite material Substances 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 229920000642 polymer Polymers 0.000 description 1
- 230000009466 transformation Effects 0.000 description 1
Abstract
The invention provides a power transformer winding fault detection method based on signal difference, which comprises the following steps: (1): collecting working information of a power transformer; (2): preliminary judgment is carried out according to the output current, the winding temperature and the vibration signal, if abnormality exists, an alarm is given, and the process goes to (5); if no abnormality exists, entering (3); (3): judging abnormality according to the output current, if abnormality exists, giving an alarm, and entering (5); if no abnormality exists, entering (4); (4): judging abnormality according to the output voltage, if abnormality exists, giving an alarm, and entering (5); (5): calculating a second differential of the output current signal; (6): judging whether the secondary difference is zero, if so, breaking the winding; if not, other faults. The invention provides a power transformer winding fault detection method based on signal difference, which can comprehensively and timely find out the abnormality of a power transformer and ensure the working stability of the power transformer.
Description
Technical Field
The invention belongs to the technical field of power detection, and particularly relates to a power transformer winding fault detection method based on signal difference.
Background
As an important device of a power system, a power transformer is widely used and is required to face different working environments, modes and the like. The stable operation of the motor is greatly related to the safety and reliability of a power grid, the power consumption requirement and purpose of a user and the like, and in order to ensure the operation stability and reliability of the power transformer, the power transformer needs to be monitored and possible abnormal conditions of the power transformer need to be found in time.
The invention provides a power transformer winding fault detection method based on signal difference, which comprises the steps of firstly, primarily judging a power transformer according to an output current signal, a winding temperature and a vibration signal, and finding out obvious abnormal characteristics; then, calculating the similarity of the current waveform and the severity of the voltage loss respectively to further find out hidden abnormal conditions; and finally, judging the fault type according to the secondary difference of the current signals, realizing comprehensive and timely monitoring of the abnormality of the power transformer, and ensuring the safety and stability of the transformation.
Disclosure of Invention
The invention provides a power transformer winding fault detection method based on signal difference, which can comprehensively and timely find out the abnormality of a power transformer and ensure the working stability of the power transformer.
The invention particularly relates to a power transformer winding fault detection method based on signal difference, which comprises the following steps:
step (1): collecting working information of the power transformer, including an output current signal, an output voltage signal, winding temperature and a vibration signal;
step (2): performing preliminary judgment on the power transformer according to the output current signal, the winding temperature and the vibration signal, and if abnormality exists, giving an alarm and entering the step (5); if no abnormality exists, the step (3) is entered;
step (3): performing abnormality judgment on the power transformer according to the output current signal, and if abnormality exists, giving an alarm and entering a step (5); if no abnormality exists, the step (4) is entered;
step (4): performing abnormality judgment on the power transformer according to the output voltage signal, and if abnormality exists, giving an alarm and entering a step (5);
step (5): calculating a second difference of the output current signals;
step (6): judging whether the secondary difference of the output current signal is zero, if so, disconnecting the power transformer winding; if not, the power transformer winding fails otherwise.
In the step (2), the preliminary judgment of the power transformer according to the output current signal, the winding temperature and the vibration signal specifically includes:
(21) Judging whether the output current is larger than an output current reference value or not, if so, judging that the power transformer is abnormal; if not, enter (22);
(22) Judging whether the vibration signal is larger than a vibration reference value or not, if so, judging that the power transformer is abnormal; if not, enter (23);
(23) Judging whether the winding temperature is greater than a winding temperature reference value, if so, judging that the power transformer is abnormal; if not, enter (24);
(24) Calculating winding temperature rise, judging whether the winding temperature rise is larger than a winding temperature rise reference value, and if so, judging that the power transformer is abnormal; if not, go to step (3).
Step (3): the specific method for carrying out abnormality judgment on the power transformer according to the output current signal comprises the following steps:
(31) Calculating the waveform similarity of the output current signal and the rated output current;
(32) Judging whether the similarity of the current waveforms is larger than a current waveform similarity reference value, if so, judging that the power transformer is abnormal; if not, go to step (4).
(31) The specific algorithm for calculating the waveform similarity of the output current signal and the rated output current is as follows:
wherein i is n For the output current signal i e And N is the number of sampling points for the rated output current.
In the step (4), the specific method for performing abnormality judgment on the power transformer according to the output voltage signal is as follows:
(41) Calculating the voltage loss of the output voltage signal;
(42) Calculating the severity of the voltage loss of the output voltage signal;
(43) And (5) judging whether the severity of the voltage loss is larger than a severity reference value of the voltage loss, if so, carrying out step (5) if the power transformer is abnormal.
(41) The algorithm for calculating the voltage loss of the output voltage signal is as follows: Δu=u n+1 -u n 。
(42) The algorithm for calculating the severity of the voltage loss of the output voltage signal is as follows:where μ is the magnification image coefficient.
The specific algorithm for calculating the secondary difference of the output current signal in the step (5) is as follows:
compared with the prior art, the beneficial effects are that: the power transformer winding fault detection method comprises the steps of firstly, primarily judging the power transformer according to output current signals, winding temperature and vibration signals, and finding obvious abnormal characteristics; and then, respectively calculating the similarity of the current waveform and the severity of the voltage loss, further finding out hidden abnormal conditions, and finally judging the fault type according to the secondary difference of the current signals, so as to realize comprehensive and timely monitoring of the power transformer abnormality.
Drawings
Fig. 1 is a flowchart of a method for detecting faults of a power transformer winding based on signal differences according to the present invention.
Detailed Description
The following describes in detail a specific embodiment of a system for detecting the propagation characteristics of terahertz waves in an electric polymer composite material according to the present invention with reference to the accompanying drawings.
As shown in fig. 1, the power transformer winding fault detection method of the present invention includes the steps of:
step (1): collecting working information of the power transformer, including an output current signal, an output voltage signal, winding temperature and a vibration signal;
step (2): and carrying out preliminary judgment on the power transformer according to the output current signal, the winding temperature and the vibration signal:
(21) Judging whether the output current is larger than an output current reference value, if so, giving an alarm and entering a step (5) when the power transformer is abnormal; if not, enter (22);
(22) Judging whether the vibration signal is larger than a vibration reference value, if so, giving an alarm and entering a step (5) when the power transformer is abnormal; if not, enter (23);
(23) Judging whether the winding temperature is greater than a winding temperature reference value, if so, giving an alarm and entering a step (5) when the power transformer is abnormal; if not, enter (24);
(24) Calculating winding temperature rise, judging whether the winding temperature rise is larger than a winding temperature rise reference value, if so, giving an alarm and entering a step (5) when the power transformer is abnormal; if not, no abnormality exists, and the process proceeds to step (3).
Step (3): performing abnormality judgment on the power transformer according to the output current signal:
(31) Calculating the waveform similarity of the output current signal and the rated output current:wherein i is n For the output current signal i e For the rated output current, N is the sampling point number;
(32) Judging whether the similarity of the current waveforms is larger than a reference value of the similarity of the current waveforms, if so, giving an alarm when the power transformer is abnormal, and entering the step (5); if not, go to step (4);
step (4): performing abnormality judgment on the power transformer according to the output voltage signal
(41) Calculating the output voltageSignal voltage loss amount Δu=u n+1 -u n ；
(42) Calculating the severity of the voltage loss of the output voltage signalWherein μ is an enlarged image coefficient;
(43) Judging whether the severity of the voltage loss is larger than a severity reference value of the voltage loss, if so, enabling the power transformer to be abnormal, and entering a step (5);
step (5): calculating a second differential of the output current signal:
step (6): judging whether the secondary difference of the output current signal is zero, if so, disconnecting the power transformer winding; if not, the power transformer winding fails otherwise.
Finally, it should be noted that the above-mentioned embodiments are merely illustrative of the technical solution of the invention and not limiting thereof. It will be understood by those skilled in the art that modifications and equivalents may be made to the particular embodiments of the invention, which are within the scope of the claims appended hereto.
Claims (8)
1. The power transformer winding fault detection method based on the signal difference is characterized by comprising the following steps of:
step (1): collecting working information of the power transformer, including an output current signal, an output voltage signal, winding temperature and a vibration signal;
step (2): performing preliminary judgment on the power transformer according to the output current signal, the winding temperature and the vibration signal, and if abnormality exists, giving an alarm and entering the step (5); if no abnormality exists, the step (3) is entered;
step (3): performing abnormality judgment on the power transformer according to the output current signal, and if abnormality exists, giving an alarm and entering a step (5); if no abnormality exists, the step (4) is entered;
step (4): performing abnormality judgment on the power transformer according to the output voltage signal, and if abnormality exists, giving an alarm and entering a step (5);
step (5): calculating a second difference of the output current signals;
step (6): judging whether the secondary difference of the output current signal is zero, if so, disconnecting the power transformer winding; if not, the power transformer winding fails otherwise.
2. The method for detecting a fault in a winding of a power transformer based on a signal difference as claimed in claim 1, wherein the preliminary judgment of the power transformer in step (2) according to the output current signal, the winding temperature, and the vibration signal specifically comprises:
(21) Judging whether the output current is larger than an output current reference value or not, if so, judging that the power transformer is abnormal; if not, enter (22);
(22) Judging whether the vibration signal is larger than a vibration reference value or not, if so, judging that the power transformer is abnormal; if not, enter (23);
(23) Judging whether the winding temperature is greater than a winding temperature reference value, if so, judging that the power transformer is abnormal; if not, enter (24);
(24) Calculating winding temperature rise, judging whether the winding temperature rise is larger than a winding temperature rise reference value, and if so, judging that the power transformer is abnormal; if not, go to step (3).
3. The method for detecting faults in windings of a power transformer based on signal differences as claimed in claim 2, wherein step (3): the specific method for carrying out abnormality judgment on the power transformer according to the output current signal comprises the following steps:
(31) Calculating the waveform similarity of the output current signal and the rated output current;
(32) Judging whether the similarity of the current waveforms is larger than a current waveform similarity reference value, if so, judging that the power transformer is abnormal; if not, go to step (4).
4. A method for detecting a fault in a winding of a power transformer based on a signal difference as claimed in claim 3, wherein the specific algorithm for calculating the similarity between the output current signal and the rated output current waveform in (31) is as follows:wherein i is n For the output current signal i e And N is the number of sampling points for the rated output current.
5. The method for detecting a fault in a winding of a power transformer based on a signal difference as claimed in claim 4, wherein the specific method for performing abnormality determination on the power transformer according to the output voltage signal in step (4) is as follows:
(41) Calculating the voltage loss of the output voltage signal;
(42) Calculating the severity of the voltage loss of the output voltage signal;
(43) And (5) judging whether the severity of the voltage loss is larger than a severity reference value of the voltage loss, if so, carrying out step (5) if the power transformer is abnormal.
6. The method for detecting a fault in a winding of a power transformer based on a signal difference as claimed in claim 5, wherein the algorithm for calculating the output voltage signal voltage loss in (41) is as follows: Δu=u n+1 -u n 。
7. The method of claim 6, wherein the algorithm for calculating the severity of the loss of voltage of the output voltage signal in (42) is:where μ is the magnification image coefficient.
8. The method for detecting a fault in a winding of a power transformer based on a signal difference according to claim 7, wherein the specific algorithm for calculating the secondary difference of the output current signal in step (5) is as follows:
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| Application Number | Priority Date | Filing Date | Title |
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| CN202311647228.5A CN117629300A (en) | 2023-12-04 | 2023-12-04 | Power transformer winding fault detection method based on signal difference |
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| CN202311647228.5A CN117629300A (en) | 2023-12-04 | 2023-12-04 | Power transformer winding fault detection method based on signal difference |
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- 2023-12-04 CN CN202311647228.5A patent/CN117629300A/en active Pending
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