CN114859274A - Transformer winding deformation online monitoring method and electronic device - Google Patents

Transformer winding deformation online monitoring method and electronic device Download PDF

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Publication number
CN114859274A
CN114859274A CN202210802135.4A CN202210802135A CN114859274A CN 114859274 A CN114859274 A CN 114859274A CN 202210802135 A CN202210802135 A CN 202210802135A CN 114859274 A CN114859274 A CN 114859274A
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transformer
voltage
current
value
data
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CN114859274B (en
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程加强
黄华林
段亮
黄婷婷
杜刘森
马继春
杨超
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Chengdu Gongbaili Automation Equipment Co ltd
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Chengdu Gongbaili Automation Equipment Co ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/72Testing of electric windings
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01BMEASURING LENGTH, THICKNESS OR SIMILAR LINEAR DIMENSIONS; MEASURING ANGLES; MEASURING AREAS; MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
    • G01B7/00Measuring arrangements characterised by the use of electric or magnetic techniques
    • G01B7/16Measuring arrangements characterised by the use of electric or magnetic techniques for measuring the deformation in a solid, e.g. by resistance strain gauge
    • YGENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
    • Y02TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
    • Y02EREDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
    • Y02E60/00Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation

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  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Power Engineering (AREA)
  • Protection Of Transformers (AREA)
  • Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)

Abstract

The invention discloses a transformer winding deformation on-line monitoring method and an electronic device, wherein the method comprises the following steps: carrying out normal state recording or transient state recording on various monitoring parameters acquired in real time to respectively obtain corresponding normal state data or transient state data; extracting related data from the normal state data or the transient state data, calculating phase impedance, impedance voltage, load loss, no-load loss and no-load current of the transformer, performing longitudinal analysis and transverse analysis on a calculation result by combining a data scale established based on nameplate data and historical data, finding abnormal changes and degradation trends of the impedance, the load loss, the no-load loss and the no-load current in time, and further comprehensively analyzing the deformation condition and degree of the transformer winding; therefore, the method and the device can effectively find potential faults of transformer winding deformation in time, and can realize accurate online early warning and intelligent diagnosis.

Description

Transformer winding deformation online monitoring method and electronic device
Technical Field
The invention relates to the technical field of transformer fault monitoring, in particular to an online transformer winding deformation monitoring method and an electronic device.
Background
The power transformer is one of the most important devices in the power system, and the reliability and stability of the power grid are directly affected by the safe operation of the large transformer. In the operation of the transformer, particularly, the winding and insulation of the transformer are subjected to high voltage, strong magnetic field, and large mechanical and thermal loads, so that the transformer winding and other parts are required to have sufficient mechanical strength and heat resistance with electrical insulation strength, and to be able to withstand the impact of a certain overcurrent, overvoltage, and short-circuit electromotive force. Because the transformer is impacted by various short-circuit fault currents in the operation process, especially when short-circuit and outlet faults occur at a short distance, the winding can be impacted by very large impact force brought by the short-circuit currents, the temperature of the winding is increased, the mechanical strength of related wires of the transformer is weakened, and finally the winding of the transformer can be deformed or even completely scrapped under the action of electric power.
Although the power transformer has strict requirements on the structural design, the deformation of the winding often occurs, which brings serious influence on the safe operation of the transformer. Therefore, the transformer winding deformation diagnosis is more and more emphasized by related departments, and the possible faults are diagnosed and maintained in time by accurately monitoring the transformer winding deformation condition, so that the occurrence probability of the transformer operation faults can be effectively reduced, and the stability of a power system is improved.
Disclosure of Invention
The invention aims to: the method comprises the steps of carrying out normal state recording or transient state recording on various monitoring parameters acquired in real time, and respectively obtaining corresponding normal state data or transient state data; and extracting related data from the normal data or the transient data, calculating phase impedance, impedance voltage, load loss, no-load loss and no-load current of the transformer, performing longitudinal analysis and transverse analysis on a calculation result by combining a data scale established based on nameplate data and historical data, and timely finding abnormal changes and degradation trends of the impedance, the load loss, the no-load loss and the no-load current so as to comprehensively analyze the deformation condition and degree of the transformer winding, thereby timely and effectively finding potential faults of the transformer winding deformation and realizing accurate online early warning and intelligent diagnosis.
In order to achieve the purpose, the invention adopts the technical scheme that:
a transformer winding deformation online monitoring method comprises the following steps:
collecting various monitoring parameters of the transformer in real time during operation, and carrying out normal state recording or transient state recording on the various monitoring parameters collected in real time to respectively obtain corresponding normal state data or transient state data;
reading the normal data or the transient data, and extracting corresponding transformer electrical parameter data and transformer gear data from the normal data or the transient data respectively;
judging whether the transformer gear data are consistent with a transformer gear scale or not; if the two are not consistent, an alarm signal is sent out; if the voltage values are consistent with the voltage values, calculating corresponding impedance voltage, load loss, no-load loss and no-load current according to the transformer electrical parameter data, comparing the impedance voltage, load loss, no-load loss and no-load current with an impedance voltage scale, a load loss scale, a no-load loss scale and a no-load current scale respectively, and judging whether the error constant value of the corresponding scale is exceeded or not; if any one of the error values exceeds the error fixed value of the corresponding scale, an alarm signal is sent out;
calculating effective values of impedance fundamental waves of the transformer according to the electrical parameter data of the transformer extracted from the normal data, comparing the effective values with the effective values of the impedance fundamental waves calculated last time, and judging whether the effective values exceed preset error fixed values; if the error exceeds the preset error fixed value, sending an alarm signal; calculating effective values of impedance fundamental waves and harmonic waves of the transformer according to the transformer electrical parameter data extracted from the transient data, comparing the effective values with the effective values of the impedance fundamental waves and the harmonic waves calculated last time respectively, and judging whether the effective values exceed preset error fixed values or not; if any one of the error values exceeds a preset error fixed value, an alarm signal is sent out.
According to a specific implementation mode, in the transformer winding deformation online monitoring method, according to the transformer electrical parameter data extracted from the normal state data, effective values of impedance fundamental waves corresponding to the transformer are calculated, and whether a difference value of the effective values of any two interphase impedance fundamental waves exceeds a preset error fixed value is judged; if the difference value exceeds a preset error fixed value, sending an alarm signal; calculating effective values of impedance fundamental waves and harmonic waves corresponding to the transformer according to the transformer electrical parameter data extracted from the transient data, and judging whether the difference value of the effective values of the impedance of the same power between any two phases exceeds a preset error fixed value or not; if the difference value exceeds the preset error fixed value, an alarm signal is sent out.
According to a specific implementation mode, in the transformer winding deformation online monitoring method, according to the transformer electrical parameter data, the instantaneous value, the amplitude value, the effective value and the phase angle of the voltage and the current corresponding to each of the high, middle and low voltage sides of the transformer are respectively calculated;
according to the transformer electrical parameter data, calculating the corresponding resistance and reactance of each of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer, and further calculating the resistance and reactance of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer;
calculating impedance voltages of the high voltage, the medium voltage, the low voltage and the high voltage, the low voltage of the transformer according to the high voltage, the medium voltage, the low voltage and the high voltage, the low voltage of the transformer and the reactance;
and calculating the load losses of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer, and the no-load loss and the no-load current of the transformer according to the resistors and the reactances of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer.
According to a specific implementation mode, in the transformer winding deformation online monitoring method, the transformer gear scale, the impedance voltage scale, the load loss scale, the no-load loss scale and the no-load current scale are determined by nameplate parameter data of a transformer;
wherein the impedance voltage scale comprises: impedance voltage scales of high voltage-medium voltage, medium voltage-low voltage and high voltage-low voltage of the transformer; the load loss scale comprises: the load loss scales of the transformer comprise a high-voltage-medium-voltage load loss scale, a medium-voltage-low-voltage load loss scale and a high-voltage-low-voltage load loss scale when the transformer is rated in capacity; accordingly, the impedance voltage includes: impedance voltages of high-medium voltage, medium-low voltage and high-low voltage of the transformer; the load loss includes: transformer high-medium, medium-low and high-low voltage load losses.
According to a specific implementation mode, in the transformer winding deformation online monitoring method, an impedance vector value scale under each frequency point is established according to historical normal operation data of a transformer;
moreover, the effective values of the fundamental wave and the harmonic wave of the impedance of the transformer are compared with a corresponding impedance vector value scale to judge whether the effective values exceed a preset error fixed value; if any one of the error values exceeds a preset error fixed value, an alarm signal is sent out.
According to a specific implementation mode, in the transformer winding deformation online monitoring method, whether any one of the following conditions is met is judged according to various monitoring parameters acquired in real time; if any one of the following conditions is met, starting transient recording on each monitoring parameter acquired in real time;
A. the effective value of any phase current of the high, middle and low voltage sides of the transformer is greater than or equal to the phase current out-of-limit value;
B. the instantaneous value of the current of the same point of the same cycle wave is subtracted from the instantaneous value of the current of the continuous N points of any phase of the high, middle and low voltage sides of the transformer, and is more than or equal to the phase current sudden change set value; n is more than or equal to 3;
C. any phase difference current effective value of the transformer is larger than or equal to a differential current fixed value;
D. the effective value of the grounding current of the transformer iron core is larger than or equal to the out-of-limit value of the grounding current of the iron core;
E. the effective value of the bus-coupled current on any side of the transformer is greater than or equal to the constant value of the bus-coupled current;
F. the position of the bus-bar switch is displaced.
According to a specific implementation mode, in the transformer winding deformation online monitoring method, whether all the following conditions are met simultaneously is judged according to various monitoring parameters acquired in real time; if all the following conditions are met, ending the transient recording of all the monitoring parameters collected in real time;
a. the effective value of any phase current of the high, medium and low voltage sides of the transformer is smaller than the preset proportion of the phase current out-of-limit value;
b. subtracting the current instantaneous value of the same point of the last cycle wave from the current instantaneous value of any phase of continuous n points of the high, middle and low voltage sides of the transformer, wherein the current instantaneous value is less than the preset proportion of the phase current sudden change fixed value; n is more than or equal to 3;
c. any phase difference current effective value of the transformer is smaller than the preset proportion of the differential current constant value;
d. the effective value of the grounding current of the transformer iron core is smaller than the preset proportion of the out-of-limit value of the grounding current of the iron core;
e. the effective value of the bus-tie current at any side of the transformer is smaller than the fixed value of the bus-tie current;
f. the position of the bus-bar switch is not displaced.
According to a specific implementation mode, in the transformer winding deformation online monitoring method, according to the transformer electrical parameter data extracted from the transient data, the impact times, the impact duration and the impact phase of a transformer are counted, and then the impact power, the single impact energy and the total impact energy of the high, medium and low voltage sides of the transformer are calculated; wherein, the impact power comprises active power, reactive power and apparent power.
According to a specific implementation mode, in the transformer winding deformation online monitoring method, whether the single impact energy and the total impact energy of a transformer exceed preset fixed values or not is judged; if any one of the parameters exceeds a preset fixed value, an alarm signal is sent out.
In another aspect of the present invention, the present invention further provides an electronic device, comprising:
the acquisition module is used for acquiring various monitoring parameters of the transformer in real time during operation;
the storage module is used for storing the data of the electronic device;
a processing module configured to: carrying out normal state recording or transient state recording on each monitoring parameter acquired in real time to respectively obtain corresponding normal state data or transient state data;
reading the normal data or the transient data, and extracting corresponding transformer electrical parameter data and transformer gear data from the normal data or the transient data respectively;
judging whether the transformer gear data are consistent with a transformer gear scale or not; if the two are not consistent, an alarm signal is sent out; if the voltage values are consistent with the voltage values, calculating corresponding impedance voltage, load loss, no-load loss and no-load current according to the transformer electrical parameter data, comparing the impedance voltage, load loss, no-load loss and no-load current with an impedance voltage scale, a load loss scale, a no-load loss scale and a no-load current scale respectively, and judging whether the error constant value of the corresponding scale is exceeded or not; if any one of the error values exceeds the error fixed value of the corresponding scale, an alarm signal is sent out;
calculating effective values of impedance fundamental waves of the transformer according to the electrical parameter data of the transformer extracted from the normal data, comparing the effective values with the effective values of the impedance fundamental waves calculated last time, and judging whether the effective values exceed preset error fixed values; if the error exceeds the preset error fixed value, sending an alarm signal; calculating effective values of impedance fundamental waves and harmonic waves of the transformer according to the transformer electrical parameter data extracted from the transient data, comparing the effective values with the effective values of the impedance fundamental waves and the harmonic waves calculated last time respectively, and judging whether the effective values exceed preset error fixed values or not; if any one of the error values exceeds a preset error fixed value, an alarm signal is sent out.
In summary, due to the adoption of the technical scheme, the invention has the beneficial effects that:
1. according to the transformer winding deformation online monitoring method, normal state recording or transient state recording is carried out on various monitoring parameters acquired in real time, and corresponding normal state data or transient state data are obtained respectively; extracting related data from the normal state data or the transient state data, calculating phase impedance, impedance voltage, load loss, no-load loss and no-load current of the transformer, performing longitudinal analysis and transverse analysis on a calculation result by combining a data scale established based on nameplate data and historical data, finding abnormal changes and degradation trends of the impedance, the load loss, the no-load loss and the no-load current in time, and further comprehensively analyzing the deformation condition and degree of the transformer winding; therefore, the method and the device can effectively find potential faults of transformer winding deformation in time, and can realize accurate online early warning and intelligent diagnosis.
2. According to the transformer winding deformation on-line monitoring method, the impedance vector value scales under all frequency points are established according to the historical normal operation data of the transformer, the absolute change and the relative change of the impedance fundamental wave and the harmonic wave effective value of the transformer are tracked by combining the established impedance vector value scales, and the potential deformation hazard of the transformer winding can be found in time by comprehensively analyzing the absolute change and the relative change.
Drawings
FIG. 1 is a schematic flow diagram of the process of the present invention;
fig. 2 is a schematic structural diagram of the electronic device of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings.
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, the method for online monitoring the deformation of the transformer winding of the present invention comprises:
collecting various monitoring parameters of the transformer in real time during operation, and carrying out normal state recording or transient state recording on the various monitoring parameters collected in real time to respectively obtain corresponding normal state data or transient state data;
reading the normal data and the transient data, and extracting corresponding transformer electrical parameter data and transformer gear data from the normal data and the transient data respectively;
judging whether the acquired transformer gear data are consistent with a transformer gear scale; if the two are not consistent, an alarm signal is sent out; if the voltage values are consistent with the voltage values, calculating corresponding impedance voltage, load loss, no-load loss and no-load current according to the transformer electrical parameter data, comparing the impedance voltage, load loss, no-load loss and no-load current with an impedance voltage scale, a load loss scale, a no-load loss scale and a no-load current scale respectively, and judging whether the error constant value of the corresponding scale is exceeded or not; if any one of the error values exceeds the error fixed value of the corresponding scale, an alarm signal is sent out;
under normal conditions, corresponding normal state data are obtained through normal state recording, then the impedance fundamental wave effective value of the transformer is calculated according to transformer electrical parameter data extracted from the normal state data, and the impedance fundamental wave effective value is compared with the impedance fundamental wave effective value calculated last time, and whether the impedance fundamental wave effective value exceeds a preset error fixed value or not is judged; if the error exceeds the preset error fixed value, sending an alarm signal;
under the condition that the transient recording is started, transient recording obtains corresponding transient data, effective values of impedance fundamental waves and harmonic waves of the transformer are calculated according to transformer electrical parameter data extracted from the transient data, the effective values are compared with the effective values of the impedance fundamental waves and the harmonic waves calculated last time respectively, and whether the error constant values exceed a preset error constant value is judged; if any one of the error values exceeds a preset error fixed value, an alarm signal is sent out.
Further, under normal conditions, calculating effective values of impedance fundamental waves corresponding to the transformer according to the transformer electrical parameter data extracted from the normal data, and judging whether the difference value of the effective values of any two interphase impedance fundamental waves exceeds a preset error fixed value or not; if the difference value exceeds a preset error fixed value, an alarm signal is sent out; under the condition of meeting the requirement of starting transient record, calculating effective values of impedance fundamental waves and harmonic waves corresponding to the transformer according to the transformer electrical parameter data extracted from the transient data, and judging whether the difference value of the effective values of any two phases of the same-power impedance of the transformer exceeds a preset error fixed value or not; if the difference value exceeds the preset error fixed value, an alarm signal is sent out.
Specifically, in the transformer winding deformation online monitoring method of the present invention, the real-time collection of various monitoring parameters during transformer operation includes: voltage and current corresponding to each of the high, middle and low voltage sides of the transformer, a transformer gear signal, iron core grounding current, bus-coupled current and a bus-coupled switch position signal; the bus-tie current and the bus-tie switch position signal are collected only when the transformers run in parallel. After normal state recording or transient state recording is performed on each acquisition item during the operation of the transformer, the transformer electrical parameter data in the normal state data or the transient state data may include: voltage data, current data, iron core grounding current data and bus-coupled current of high, medium and low voltage sides of the transformer.
Therefore, the instantaneous values, the amplitude values, the effective values and the phase angles of the voltage and the current of each phase of the high, middle and low voltage sides of the transformer, the grounding current of the iron core and the bus-bar current can be respectively calculated according to the electrical parameter data of the transformer;
moreover, the corresponding resistance and reactance of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer are calculated according to the electric parameter data of the transformer, and the resistance and reactance of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer are further calculated; further, according to the high-voltage-medium-voltage, medium-voltage-low-voltage and high-voltage-low-voltage resistors and reactors of the transformer, the high-voltage-medium-voltage, medium-voltage-low-voltage and high-voltage-low-voltage impedance voltages of the transformer are calculated; and calculating the load losses of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer, and the no-load loss and the no-load current of the transformer according to the resistors and the reactances of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer.
During implementation, the normal state record and the transient state record respectively obtain corresponding normal state data or transient state data, so that the obtained normal state data and the obtained transient state data are respectively stored in two different storage areas; the storage area stores normal data, and also stores various data calculated according to transformer electrical parameter data extracted from the normal data; similarly, the storage area for storing the transient data also stores various data calculated according to the transformer electrical parameter data extracted from the transient data.
In the transformer winding deformation online monitoring method, the transformer gear scale, the impedance voltage scale, the load loss scale, the no-load loss scale and the no-load current scale are determined by nameplate parameter data of the transformer.
Specifically, the impedance voltage scale includes: impedance voltage scales of high voltage-medium voltage, medium voltage-low voltage and high voltage-low voltage of the transformer; the load loss scale comprises: the load loss scales of the transformer comprise a high-voltage-medium-voltage load loss scale, a medium-voltage-low-voltage load loss scale and a high-voltage-low-voltage load loss scale when the transformer is rated in capacity; accordingly, the impedance voltage includes: impedance voltages of the transformers high-medium voltage, medium-low voltage and high-low voltage; the load loss includes: transformer high-medium, medium-low and high-low voltage load losses.
Therefore, the invention can combine the data scale established based on the nameplate parameter data of the transformer to realize the longitudinal analysis of the impedance voltage, the load loss, the no-load loss and the no-load current calculated according to the electrical parameter data of the transformer. Meanwhile, the effective values of the impedance fundamental wave and the harmonic wave of the transformer are calculated and compared with the effective values of the impedance fundamental wave and the harmonic wave calculated last time respectively, the relative change of the effective values of the impedance fundamental wave and the harmonic wave of the transformer is tracked, and the longitudinal analysis of the impedance of the transformer is realized; in addition, the invention also realizes the transverse analysis of any two interphase equivalent power impedance effective values of the transformer according to the effective values of the impedance fundamental wave and the harmonic wave corresponding to the transformer. Therefore, the abnormal changes of the impedance, the load loss, the no-load loss and the no-load current and the deterioration trend thereof can be found in time through the mode, and the deformation condition and the degree of the transformer winding are comprehensively analyzed.
Furthermore, according to the transformer winding deformation online monitoring method, an impedance vector value scale of the transformer at each frequency point is established according to historical normal operation data of the transformer. Moreover, the effective values of the impedance fundamental waves and the harmonic waves of the transformer are compared with a corresponding impedance vector value scale, and whether the effective values exceed a preset error fixed value is judged; if any one of the error values exceeds a preset error fixed value, an alarm signal is sent out.
Therefore, the absolute change of the impedance fundamental wave and the harmonic effective value of the transformer is tracked by combining the established impedance vector value scale, and the relative change of the impedance fundamental wave and the harmonic effective value of the transformer is combined for comprehensive analysis, so that the potential deformation hazard of the transformer winding can be found in time.
In a specific embodiment, in the online monitoring method for transformer winding deformation, the impact times, the impact duration and the impact phase of the transformer are counted according to the transformer electrical parameter data extracted from the transient data, and then the impact power, the single impact energy and the total impact energy of the high, medium and low voltage sides of the transformer are calculated; wherein, the impact power comprises active power, reactive power and apparent power.
Meanwhile, whether the single impact energy and the total impact energy of the transformer exceed a preset fixed value or not is judged according to the counted single impact energy and total impact energy of the transformer; if the value exceeds the preset fixed value, an alarm signal is sent out.
In the transformer winding deformation on-line monitoring method, various error fixed values adopted in comparison analysis of impedance voltage, load loss, no-load loss and no-load current and effective values of transformer impedance fundamental waves and harmonics, and fixed values adopted in judgment analysis of single impact energy and total impact energy of the transformer can be set according to actual requirements on site; and if the user-defined setting is not carried out, carrying out corresponding analysis according to data of default setting.
In a specific embodiment, in the transformer winding deformation online monitoring method, after various monitoring parameters during transformer operation are collected, the collected parameter data are cached, and then the cached parameter data are recorded in a normal state; meanwhile, whether the transient recording is started or not is judged according to the cached parameter data. Specifically, each collected monitoring parameter during the operation of the transformer includes: the voltage and current, transformer gear signal, iron core grounding current, bus-coupled current and bus-coupled switch position signal corresponding to each of the high, middle and low voltage sides of the transformer.
Then, judging whether any one of the following conditions is met according to various monitoring parameters acquired in real time; if any one of the following conditions is met, starting transient recording on each monitoring parameter acquired in real time;
A. the effective value of any phase current of the high, middle and low voltage sides of the transformer is greater than or equal to the phase current out-of-limit value;
B. the instantaneous value of the current of the same point of the same cycle wave is subtracted from the instantaneous value of the current of the continuous N points of any phase of the high, middle and low voltage sides of the transformer, and is more than or equal to the phase current sudden change set value; n is more than or equal to 3;
C. any phase difference current effective value of the transformer is larger than or equal to a differential current fixed value;
D. the effective value of the grounding current of the transformer iron core is larger than or equal to the out-of-limit value of the grounding current of the iron core;
E. the effective value of the bus-coupled current on any side of the transformer is greater than or equal to the fixed value of the bus-coupled current;
F. the position of the bus-bar switch is displaced.
Similarly, according to various monitoring parameters collected in real time, whether all the following conditions are met at the same time is judged; if all the following conditions are met at the same time, finishing transient recording on each monitoring parameter acquired in real time;
a. the effective value of any phase current of the high, medium and low voltage sides of the transformer is smaller than the preset proportion of the phase current out-of-limit value;
b. subtracting the current instantaneous value of the same point of the last cycle wave from the current instantaneous value of any phase of continuous n points of the high, middle and low voltage sides of the transformer, wherein the current instantaneous value is less than the preset proportion of the phase current sudden change fixed value; n is more than or equal to 3;
c. any phase difference current effective value of the transformer is smaller than the preset proportion of the differential current fixed value;
d. the effective value of the grounding current of the transformer iron core is smaller than the preset proportion of the out-of-limit value of the grounding current of the iron core;
e. the effective value of the bus-coupled current at any side of the transformer is smaller than the fixed value of the bus-coupled current;
f. the position of the bus-bar switch is not displaced.
In the implementation, the normal state recording records the characteristic quantity of the electrical parameter of the transformer (comprising the voltage and the current of the high, medium and low voltage sides of the transformer, the bus-bar current and the iron core grounding current), the position signal of the bus-bar switch (comprising the high, medium and low voltage sides) and the characteristic data of the gear of the transformer (comprising the high and medium voltage sides) according to the normal state recording rate of 1.6 KHz-3.2 KHz (default 1.6 KHz). The transformer current comprises protection current and measurement current, and the measurement current is used for calculation under the normal recording condition of the transformer due to high precision and good linearity of the measurement current; the bus-coupled current comprises bus-coupled currents at high, medium and low voltage sides.
The transient recording is divided into four time periods of an A section, a B section, a C section and a D section, wherein the A section is the time period before the transient recording starting time; the section B is a first time period after the transient state wave recording starting moment, the section C is a second time period after the transient state wave recording starting moment, and the section D is a third time period after the transient state wave recording starting moment.
Under the condition of meeting the starting of transient recording, the A section and the B section record data according to the frequency of 102.4KHz at most, the C section records data according to 12.8 KHz-51.2 KHz (default 25.6 KHz), and the D section records data according to 6.4 KHz-25.6 KHz (default 12.8 KHz). A. The B, C and D-band frequencies can be flexibly set within the above range according to field use conditions.
Under the condition that transient recording starting is met, recording transformer electrical parameter characteristic quantity, a bus tie switch position signal and transformer gear characteristic data according to a set transient recording rate, wherein transformer current comprises protection current and measurement current, the dynamic range of the protection current is large, and the protection current is calculated and used under the condition that the transformer is started by wave recording; the bus-coupled current comprises bus-coupled currents at high, medium and low voltage sides.
In the transformer winding deformation on-line monitoring method, the current out-of-limit value, the current sudden change constant value, the differential current constant value, the iron core grounding current out-of-limit value, the bus-bar current constant value and the preset proportion for judgment can be set according to the actual requirements on the site, wherein the current out-of-limit value, the current sudden change constant value, the differential current constant value, the iron core grounding current out-of-limit value and the preset proportion for judging the bus-bar current constant value are involved in each condition for judging the starting or ending of transient recording; and if the user-defined setting is not carried out, carrying out corresponding judgment according to default set data.
In another aspect of the present invention, as shown in fig. 2, the present invention further provides an electronic device, comprising:
the acquisition module is configured to acquire various monitoring parameters of the transformer in real time during operation;
a storage module configured to store data of the electronic apparatus;
and the processing module is configured to perform data interaction with the acquisition module and the storage module respectively to realize the transformer winding deformation online monitoring method.
Specifically, the real-time collection of monitoring parameters of the transformer during operation by the collection module includes: voltage and current corresponding to each of the high, middle and low voltage sides of the transformer, a transformer gear signal, iron core grounding current, bus-coupled current and a bus-coupled switch position signal; the bus-tie current and the bus-tie switch position signal are collected only when the transformers run in parallel.
The processing module respectively obtains corresponding normal data or transient data by performing normal recording and transient recording on various acquired data during the operation of the transformer, and writes the obtained normal data or transient data into the storage module. Meanwhile, the processing module directly reads the normal data and the transient data and extracts corresponding transformer electrical parameter data and transformer gear data from the normal data and the transient data respectively.
And when the processing module judges that the transformer gear data is inconsistent with the transformer gear scale, an alarm signal is sent out, an early warning indicator lamp is lightened, a transformer early warning contact is closed, and an early warning reason is prompted on a fault monitoring interface.
When the processing module judges that the transformer gear data is consistent with the transformer gear scale, the corresponding impedance voltage, load loss, no-load loss and no-load current are calculated according to the transformer electrical parameter data and are respectively compared with the impedance voltage scale, the load loss scale, the no-load loss scale and the no-load current scale,
if the comparison of the calculated impedance voltage and the impedance voltage scale exceeds the impedance voltage error fixed value (default 4%), the comparison of the calculated load loss and the load loss scale exceeds the load loss error fixed value (default 5%), the comparison of the calculated no-load loss and the no-load loss scale exceeds the no-load loss error fixed value (default 5%), the comparison of the calculated no-load current and the no-load current scale exceeds the no-load current error fixed value (default 5%), any one of the calculated no-load current and the no-load current scale exceeds the no-load current error fixed value (default 5%), an alarm signal is sent out, an early warning indicator lamp is lightened, a transformer early warning contact is closed, and an early warning reason is prompted on a fault monitoring interface.
In the electronic device provided by the invention, the storage module respectively stores the obtained normal state data and transient state data in two different storage areas; the storage area stores normal data, and also stores various data calculated according to transformer electrical parameter data extracted from the normal data; similarly, the storage area for storing the transient data also stores various data calculated based on the transformer electrical parameter data extracted from the transient data. Moreover, the storage module also stores various data scales and corresponding error fixed values which are established on the basis of nameplate parameter data of the transformer and historical normal operation data of the transformer; and the processing module acquires the corresponding data scale through the storage address. Specifically, the transformer gear scale, the impedance voltage scale, the load loss scale, the no-load loss scale and the no-load current scale are determined by nameplate parameter data of the transformer. And establishing an impedance vector value scale of the transformer at each frequency point according to the historical normal operation data of the transformer.
Therefore, the processing module can be combined with a data scale established based on the nameplate parameter data of the transformer to realize longitudinal analysis of the impedance voltage, the load loss, the no-load loss and the no-load current calculated according to the electrical parameter data of the transformer. Therefore, the abnormal changes of the impedance, the load loss, the no-load loss and the no-load current and the deterioration trend thereof can be found in time through the mode, and the deformation condition and the degree of the transformer winding are comprehensively analyzed.
Meanwhile, the processing module also calculates the effective values (31 times and below) of impedance fundamental waves and harmonic waves according to the electric parameter data of the transformer; and then, judging and comparing the currently calculated impedance fundamental wave and harmonic effective value (31 times or less) with the last calculated impedance fundamental wave and harmonic effective value, and sending an alarm signal, lightening an early warning indicator lamp, closing an early warning contact of the transformer and prompting an early warning reason on a fault monitoring interface as long as the error of the fundamental wave or the harmonic effective value exceeds an impedance error fixed value (default 5%). The processing module further judges and compares any two inter-phase impedance fundamental wave and harmonic effective values of the transformer in the same power according to the currently calculated A, B, C phase impedance fundamental wave and harmonic effective values (31 times and below), and specifically, if one of the differences between the impedance fundamental wave and the same power harmonic effective value of the transformer between the phases A-B, A-C and B-C exceeds an impedance error fixed value (default 5%), an alarm signal is sent out, an early warning indicator lamp is lightened, a transformer early warning contact is closed, and an early warning reason is indicated on a fault monitoring interface.
Furthermore, the processing module compares effective values of impedance fundamental waves and harmonic waves of the transformer with a corresponding impedance vector value scale and judges whether the effective values exceed a preset error fixed value; if any one of the error values exceeds the preset error fixed value, an alarm signal is sent out, an early warning indicator lamp is lightened, the early warning contact of the transformer is closed, and the early warning reason is prompted on a fault monitoring interface.
Therefore, the processing module tracks the relative change of the impedance fundamental wave and the harmonic effective value of the transformer by comparing the calculated effective values of the impedance fundamental wave and the harmonic of the transformer with the effective values of the impedance fundamental wave and the harmonic calculated last time, so as to realize the longitudinal analysis of the impedance of the transformer; and the processing module is also used for realizing the transverse analysis of any two-phase same-power impedance effective values of the transformer according to the calculated effective values of the impedance fundamental wave and the harmonic wave corresponding to the transformer. And the processing module tracks the absolute change of the impedance fundamental wave and the harmonic effective value of the transformer by combining the established impedance vector value scale, and performs comprehensive analysis by combining the relative change of the impedance fundamental wave and the harmonic effective value of the transformer, so that the potential deformation hazard of the transformer winding can be found in time.
In a specific embodiment, the processing module further counts the impact times, the impact duration and the impact phase of the transformer according to the transformer electrical parameter data extracted from the transient data, and further calculates the impact power, the single impact energy and the total impact energy of the high, medium and low voltage sides of the transformer; wherein, the impact power comprises active power, reactive power and apparent power. Moreover, the processing module judges whether the single impact energy and the total impact energy of the transformer exceed preset fixed values or not according to the counted single impact energy and total impact energy of the transformer; if the value exceeds the preset fixed value, an alarm signal is sent out.
In the electronic device provided by the invention, various error fixed values adopted in comparison analysis of impedance voltage, load loss, no-load loss and no-load current and effective values of fundamental wave and harmonic wave of transformer impedance and fixed values adopted in judgment analysis of single impact energy and total impact energy of the transformer can be set according to actual requirements on site; and if the user-defined setting is not carried out, carrying out corresponding analysis according to data of default setting.
It should be understood that the electronic device disclosed in the present invention can be implemented in other ways. For example, the division of the modules into only one logical function may be implemented in another way, for example, multiple units or components may be combined or integrated into another system, or some features may be omitted, or not implemented. In addition, the communication connection between the modules may be an indirect coupling or communication connection through some interfaces, devices or units, and may be electrical or in other forms.
In addition, functional modules in the embodiments of the present invention may be integrated into one processing unit, or each module may exist alone physically, or two or more modules are integrated into one processing unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied in the form of a software product, which is stored in a storage medium and includes instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a removable hard disk, a magnetic or optical disk, and other various media capable of storing program codes.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (10)

1. A transformer winding deformation online monitoring method is characterized by comprising the following steps:
collecting various monitoring parameters of the transformer in real time during operation, and carrying out normal state recording or transient state recording on the various monitoring parameters collected in real time to respectively obtain corresponding normal state data or transient state data;
reading the normal data or the transient data, and extracting corresponding transformer electrical parameter data and transformer gear data from the normal data or the transient data respectively;
judging whether the transformer gear data are consistent with a transformer gear scale; if the two are not consistent, an alarm signal is sent out; if the voltage values are consistent with the voltage values, calculating corresponding impedance voltage, load loss, no-load loss and no-load current according to the transformer electrical parameter data, comparing the impedance voltage, load loss, no-load loss and no-load current with an impedance voltage scale, a load loss scale, a no-load loss scale and a no-load current scale respectively, and judging whether the error constant value of the corresponding scale is exceeded or not; if any one of the error values exceeds the error fixed value of the corresponding scale, an alarm signal is sent out;
calculating effective values of impedance fundamental waves of the transformer according to the electrical parameter data of the transformer extracted from the normal data, comparing the effective values with the effective values of the impedance fundamental waves calculated last time, and judging whether the effective values exceed preset error fixed values; if the error exceeds the preset error fixed value, sending an alarm signal; calculating effective values of impedance fundamental waves and harmonic waves of the transformer according to the transformer electrical parameter data extracted from the transient data, comparing the effective values with the effective values of the impedance fundamental waves and the harmonic waves calculated last time respectively, and judging whether the effective values exceed preset error fixed values or not; if any one of the error values exceeds a preset error fixed value, an alarm signal is sent out.
2. The method according to claim 1, wherein the effective value of each corresponding impedance fundamental wave of the transformer is calculated according to the electrical parameter data of the transformer extracted from the normal data, and whether the difference between the effective values of any two phase impedance fundamental waves exceeds a preset error fixed value is judged; if the difference value exceeds a preset error fixed value, sending an alarm signal; calculating effective values of impedance fundamental waves and harmonic waves corresponding to the transformer according to the transformer electrical parameter data extracted from the transient data, and judging whether the difference value of the effective values of the impedance of the same power between any two phases exceeds a preset error fixed value or not; if the difference value exceeds the preset error fixed value, an alarm signal is sent out.
3. The method according to claim 1, wherein the instantaneous value, the amplitude value, the effective value and the phase angle of the voltage and the current corresponding to each of the high, medium and low voltage sides of the transformer are respectively calculated according to the electrical parameter data of the transformer;
according to the transformer electrical parameter data, calculating the corresponding resistance and reactance of each of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer, and further calculating the resistance and reactance of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer;
calculating impedance voltages of the high voltage, the medium voltage, the low voltage and the high voltage, the low voltage of the transformer according to the high voltage, the medium voltage, the low voltage and the high voltage, the low voltage of the transformer and the reactance;
and calculating the load losses of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer, and the no-load loss and the no-load current of the transformer according to the resistors and the reactances of the high voltage-medium voltage, the medium voltage-low voltage and the high voltage-low voltage of the transformer.
4. The transformer winding deformation online monitoring method according to claim 3, wherein the transformer gear scale, the impedance voltage scale, the load loss scale, the no-load loss scale and the no-load current scale are determined by nameplate parameter data of a transformer;
wherein the impedance voltage scale comprises: impedance voltage scales of high voltage-medium voltage, medium voltage-low voltage and high voltage-low voltage of the transformer; the load loss scale includes: the load loss scales of the transformer comprise a high-voltage-medium-voltage load loss scale, a medium-voltage-low-voltage load loss scale and a high-voltage-low-voltage load loss scale when the transformer is rated in capacity; accordingly, the impedance voltage includes: impedance voltages of the transformers high-medium voltage, medium-low voltage and high-low voltage; the load loss includes: transformer high-medium, medium-low and high-low voltage load losses.
5. The on-line monitoring method for the deformation of the transformer winding, as claimed in claim 4, is characterized in that an impedance vector value scale under each frequency point is established according to historical normal operation data of the transformer;
moreover, the effective values of the impedance fundamental waves and the harmonic waves of the transformer are compared with a corresponding impedance vector value scale, and whether the effective values exceed a preset error fixed value is judged; if any one of the error values exceeds a preset error fixed value, an alarm signal is sent out.
6. The transformer winding deformation on-line monitoring method according to claim 1, characterized by judging whether any of the following conditions is met according to various monitoring parameters acquired in real time; if any one of the following conditions is met, starting transient recording on each monitoring parameter acquired in real time;
A. the effective value of any phase current of the high, middle and low voltage sides of the transformer is greater than or equal to the phase current out-of-limit value;
B. the instantaneous value of the current of the same point of the same cycle wave is subtracted from the instantaneous value of the current of the continuous N points of any phase of the high, middle and low voltage sides of the transformer, and is more than or equal to the phase current sudden change set value; n is more than or equal to 3;
C. any phase difference current effective value of the transformer is larger than or equal to a differential current fixed value;
D. the effective value of the grounding current of the transformer iron core is larger than or equal to the out-of-limit value of the grounding current of the iron core;
E. the effective value of the bus-coupled current on any side of the transformer is greater than or equal to the constant value of the bus-coupled current;
F. the position of the bus-bar switch is displaced.
7. The transformer winding deformation on-line monitoring method according to claim 6, characterized by judging whether all the following conditions are met simultaneously according to various monitoring parameters acquired in real time; if all the following conditions are met at the same time, finishing transient recording on each monitoring parameter acquired in real time;
a. the effective value of any phase current of the high, medium and low voltage sides of the transformer is smaller than the preset proportion of the phase current out-of-limit value;
b. subtracting the current instantaneous value of the same point of the last cycle wave from the current instantaneous value of any phase of continuous n points of the high, middle and low voltage sides of the transformer, wherein the current instantaneous value is less than the preset proportion of the phase current sudden change fixed value; n is more than or equal to 3;
c. any phase difference current effective value of the transformer is smaller than the preset proportion of the differential current constant value;
d. the effective value of the grounding current of the transformer iron core is smaller than the preset proportion of the out-of-limit value of the grounding current of the iron core;
e. the effective value of the bus-coupled current at any side of the transformer is smaller than the fixed value of the bus-coupled current;
f. the position of the bus-bar switch is not displaced.
8. The method according to claim 1, wherein the number of transformer impacts, the impact duration and the impact phase are counted according to the transformer electrical parameter data extracted from the transient data, and then the impact power, the single impact energy and the total impact energy of the high, medium and low voltage sides of the transformer are calculated; wherein, the impact power comprises active power, reactive power and apparent power.
9. The transformer winding deformation on-line monitoring method according to claim 8, wherein whether the single impact energy and the total impact energy of the transformer exceed preset fixed values is judged; if any one of the parameters exceeds a preset fixed value, an alarm signal is sent out.
10. An electronic device, comprising:
the acquisition module is configured to acquire various monitoring parameters of the transformer in real time during operation;
a storage module configured to store data of the electronic apparatus;
the processing module is configured to implement the transformer winding deformation online monitoring method according to any one of claims 1 to 9 by performing data interaction with the acquisition module and the storage module respectively.
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