CN117054798B - Method and device for transformer health monitoring by utilizing parameter identification - Google Patents
Method and device for transformer health monitoring by utilizing parameter identification Download PDFInfo
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Abstract
The invention discloses a method and a device for monitoring the health of a transformer by utilizing parameter identification, comprising the steps of collecting real-time waveform data of voltage and current at two ends of the transformer; respectively calculating phasor values of current and voltage at two ends according to real-time waveform data of one sampling period; after the phasor value is transformed, calculating parameters of a T-shaped equivalent circuit of the transformer; repeating the acquisition at intervals, and calculating the data obtained by each time; sorting by taking the day as a unit, removing the largest groups of data and the smallest groups of data, calculating the average value of the day, storing the average value in a database, and comparing the average value with the data of the previous day to obtain the daily variation difference value; and in the monitoring period, if the daily variation difference value shows an increasing or decreasing trend, sending out a prompting inspection signal. According to the invention, the conventional current and voltage acquisition loop of the transformer is utilized, and the parameters of the transformer are obtained through calculation to monitor the cable, so that the cost and complexity are reduced.
Description
Technical Field
The invention relates to the technical field of power system parameter monitoring, in particular to a method and a device for transformer health monitoring by utilizing parameter identification.
Background
The traditional manual inspection mode can not well ensure the operation and maintenance of the transformer. The power failure accident caused by the transformer can cause larger influence. The development of state monitoring on transformers is an important trend, and fault hidden dangers or performance decline trends of the transformers are discovered early. The state monitoring realizes the evaluation of the transformer through the collection and analysis of the electrical parameters of the transformer, thereby improving the operation quality of the transformer.
At present, the transformer state monitoring device mainly aims at parameter monitoring and fault diagnosis, has no state evaluation function or only has a simple evaluation strategy, namely, the transformer state is divided into a fault state and a non-fault state, so that hidden faults existing in the transformer are difficult to discover, and proper maintenance strategies are difficult to be formulated early.
Disclosure of Invention
The invention aims to provide a method and a device for monitoring transformer health by utilizing parameter identification, so as to solve the problems in the background art.
In order to achieve the above purpose, the present invention provides the following technical solutions:
a method for monitoring transformer health by utilizing parameter identification comprises the following steps:
s1, at different timesAnd->Collecting and recording real-time waveform data of primary side voltage and secondary side voltage and current of the transformer, wherein the length of the real-time waveform data is one sampling period T;
s2, respectively calculating according to the real-time waveform data of one sampling period TAnd->Phasor values of primary and secondary side currents and voltages of the transformer at moment;
s3, after the phasor values are transformed, parameters of a T-shaped equivalent circuit of the transformer are calculated;
s4, calculating transformer transformation ratio and connection group;
s5, calculating transformer loss;
s6, repeating the steps S1 to S5 at intervals, storing the data obtained by calculation in a database, and drawing a parameter curve, wherein the data comprises the parameter data of a T-shaped equivalent circuit of the transformer, the transformer transformation ratio, the coupling group parameter data and the transformer loss data;
s7, processing and sequencing the data, removing the largest groups of data and the smallest groups of data, calculating an average value, storing the average value into a database, and comparing the average value with the previous data to obtain a variation difference value;
s8, setting a monitoring period, and sending out a prompt inspection signal if the daily variation difference value shows a trend of increasing or decreasing in the monitoring period.
Further, in step S1,and->The time interval is not less than 1 minute, and the waveform data of the primary side and the secondary side of the transformer are sampled and synchronized by a satellite clock;
in a 50Hz system, the sampling period is 20ms; in a 60Hz system, the sampling period is 16.7ms;
the primary current and voltage data of the transformer collected at the moment is i1 (/ -)>)、u1(/>) Secondary side current and voltage of transformerData i2 (-)>)、u2(/>)；
The primary current and voltage data of the transformer collected at the moment is i1 (/ -)>)、u1(/>) The secondary side current and voltage data of the transformer is i2 (>)、u2(/>)；
In the step S6, repeating the steps S1-S5 every 24 hours;
in step S8, one month is taken as one monitoring period.
Further, in step S2,the current and voltage of the primary side of the transformer at the moment have the phase values ofThe phase value of the current and voltage reduced from the secondary side to the primary side of the transformer is +.>
The current and voltage of the primary side of the transformer at the moment have a phasor value of +.>The phase value of the current and voltage reduced from the secondary side to the primary side of the transformer is +.>；
The method for calculating comprises the following steps:
= />；
= />；
and->For the actual value of the secondary side, for the phasor value represented by complex numbers, +>For the angle of the connection group number +.>Is transformer transformation ratio->Plural->Is an exponential expression of->Is the imaginary unit of the complex number.
Further, in step S3, calculating parameters of the T-type equivalent circuit of the transformer specifically includes:
at the position ofAnd->Measuring voltage and current waveforms in the time of one sampling period of primary side and secondary side of the transformer and calculating to obtain two groups of values, wherein +.>At moment, the voltage and the current of the primary side of the transformer are respectively as follows:the simultaneous combination is carried out to obtain the equivalent impedance of the primary side in the equivalent circuit of the transformer>Is finally obtained as a value of (2)>At the same time obtain excitation impedance +.>。
Further, the method comprises the steps of,；；
short circuit impedance of the transformer:；
excitation impedance of the transformer:；
、/>phasor values for primary side phase voltage and current of the transformer; />、/>The phase voltage and the current of the secondary side of the transformer are calculated to the phase value of the primary side.
Further, the calculating transformer transformation ratio and coupling group specifically includes: transformer transformation ratio is，/>，/>、/>The voltage value of the same phase line of the primary side and the secondary side is a primary value;
the connection group is as follows:， />、 />the phasor value of the line voltages on the primary side and the secondary side is the primary value,/>The angle corresponding to the connection group number.
Further, the calculated transformer losses include, in particular, load losses and no-load losses, wherein,
load loss:
；
in the method, in the process of the invention,is primary three-phase active power, +.>The power is the three-phase active power of the secondary side;
no-load loss:
apparent power of no-load loss
Wherein,the phasor value is the primary voltage of the transformer; />Phasor values for the excitation current of the transformer; />Conjugation of the phasor value of exciting current of the transformer; />Active power which is excitation power of the transformer; />Reactive power which is excitation power of the transformer;
no-load current of no-load loss, which cannot be measured under the condition of transformer operation, is calculated through an equivalent circuit=/>，/>The modulus value of (a) is the no-load current value.
In order to achieve the above purpose, the present invention further provides the following technical solutions:
an apparatus for transformer health monitoring using parameter identification, comprising:
acquisition module for at different timesAnd->Collecting and recording real-time waveform data of primary side voltage and secondary side voltage and current of the transformer, wherein the length of the real-time waveform data is one sampling period T;
a calculation module for calculating respectively according to the real-time waveform data of one sampling period TAnd->Phasor values of primary and secondary side currents and voltages of the transformer at moment;
the transformation module is used for calculating parameters of the T-shaped equivalent circuit of the transformer after the phasor values are transformed;
the transformation ratio and connection group calculation module is used for calculating the transformation ratio and connection group of the transformer;
the loss calculation module is used for calculating the loss of the transformer;
the repeated calculation module is used for repeatedly collecting real-time waveform data of voltages and currents at two ends of the transformer, the length of the real-time waveform data is one sampling period, phasor values of the currents and the voltages at the two ends are calculated respectively according to the real-time waveform data of one sampling period, parameters of a T-shaped equivalent circuit of the transformer are calculated after the phasor values are converted, transformer transformation ratios and connection groups are calculated, transformer loss is calculated, the calculated data are stored in a database, a parameter curve is drawn, and the data comprise parameter data of the T-shaped equivalent circuit of the transformer, transformer transformation ratios and connection group parameter data and transformer loss data;
the processing module is used for processing and sequencing the data, removing the largest groups of data and the smallest groups of data, calculating an average value, storing the average value into a database, and comparing the average value with the previous data to obtain a variation difference value;
and the alarm module is used for setting a monitoring period, and sending out a prompt inspection signal if the daily variation difference value shows a trend of increasing or decreasing in the monitoring period.
In order to achieve the above purpose, the present invention further provides the following technical solutions:
a computer device comprising a memory storing a computer program and a processor implementing the steps of the method as claimed in any one of the preceding claims when the computer program is executed by the processor.
In order to achieve the above purpose, the present invention further provides the following technical solutions:
a computer readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method as claimed in any one of the preceding claims.
Compared with the prior art, the invention has the beneficial effects that:
according to the invention, the monitoring of the parameters of the transformer can be realized without more sensors. Conventional monitoring means require additional compliance with new various types of sensors, such as thermometric optical fibers, loop CT, partial discharge sensors, etc. According to the invention, the current and voltage acquisition loops which are conventionally installed in the transformer are utilized to perform fine calculation, and no additional sensor is required to be installed, so that the cost and the field complexity are reduced. The actual parameters of the transformer can be comprehensively reflected, and the monitoring of the transformer can be better realized.
Drawings
FIG. 1 is a schematic block diagram of an example electronic device for implementing methods and apparatus for transformer health monitoring using parameter identification in accordance with embodiments of the present invention.
FIG. 2 is a schematic flow chart of a method for transformer health monitoring using parameter identification according to an embodiment of the present invention.
Fig. 3 is a T-type equivalent circuit diagram of a transformer according to an embodiment of the present invention.
Fig. 4 is a schematic block diagram of an apparatus for transformer health monitoring using parameter identification in accordance with an embodiment of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Referring to fig. 1 to 4, the present invention provides a technical solution:
an example electronic device 100 for implementing the method and apparatus for transformer health monitoring using parameter identification according to an embodiment of the invention is described with reference to fig. 1.
As shown in fig. 1, the electronic device 100 includes one or more processors 102, one or more storage devices 104. Optionally, the electronic device 100 may also include an input device 106, an output device 108, and a data acquisition device 110, which are interconnected by a bus system 112 and/or other forms of connection mechanisms (not shown). It should be noted that the components and structures of the electronic device 100 shown in fig. 1 are exemplary only and not limiting, as the electronic device may have other components and structures as desired.
The processor 102 may be a Central Processing Unit (CPU), a Graphics Processor (GPU) or other form of processing unit having data processing capabilities and/or instruction execution capabilities, and may control other components in the electronic device 100 to perform desired functions.
The storage 104 may include one or more computer program products that may include various forms of computer-readable storage media, such as volatile memory and/or non-volatile memory. The volatile memory may include, for example, random Access Memory (RAM) and/or cache memory (cache), and the like. The non-volatile memory may include, for example, read Only Memory (ROM), hard disk, flash memory, and the like. On which one or more computer program instructions may be stored that the processor 102 may execute to implement the conventional current, voltage acquisition loop, transformer monitoring by computing acquired transformer parameters, and/or other desired functions in embodiments of the invention described below (implemented by the processor). Various applications and various data, such as various data used and/or generated by the applications, may also be stored in the computer readable storage medium.
The input device 106 may be a device used by a user to input instructions and may include one or more of a keyboard, mouse, microphone, touch screen, and the like.
The output device 108 may output various information (e.g., images and/or sounds) to the outside (e.g., a user), and may include one or more of a display, a speaker, and the like.
The data acquisition device 110 may acquire various forms of data such as images and store the acquired data in the storage device 104 for use by other components. The data acquisition device 110 may be a camera or the like. It should be understood that the data acquisition device 110 is merely an example, and the electronic apparatus 100 may not include the data acquisition device 110. In this case, it is possible to acquire data by other data acquisition means and transmit the acquired data to the electronic apparatus 100.
Exemplary electronic devices for implementing methods and apparatus for transformer health monitoring using parameter identification in accordance with embodiments of the present invention may be implemented on devices such as personal computers or remote servers, for example.
Next, a method for transformer health monitoring using parameter identification according to an embodiment of the present invention will be described with reference to fig. 2. Fig. 2 shows a schematic flow chart of a method for transformer health monitoring using parameter identification according to one embodiment of the invention. As shown in fig. 2, the method includes the following steps.
At different timesAnd->Collecting and recording real-time waveform data of primary side voltage and secondary side voltage and current of the transformer, wherein the length of the real-time waveform data is one sampling period T;
respectively calculating according to the real-time waveform data of one sampling period TAnd->Phasor values of primary and secondary side current and voltage of the transformer;
after the phasor value is transformed, calculating parameters of a T-shaped equivalent circuit of the transformer;
calculating transformer transformation ratio and connection group;
calculating transformer loss;
repeating the steps S1 to S5 at intervals, storing the data obtained by each calculation into a database, and drawing a parameter curve;
processing and sequencing the data, removing the largest groups of data and the smallest groups of data, calculating an average value, storing the average value into a database, and comparing the average value with the previous data to obtain a variation difference value;
setting a monitoring period, and sending out a prompting inspection signal if the daily variation difference value shows a trend of increasing or decreasing in the monitoring period.
The following is a specific description:
the invention provides a method for monitoring the health of a transformer by utilizing parameter identification, which utilizes a conventional current and voltage acquisition loop of the transformer to monitor a cable by calculating and acquiring parameters of the transformer, thereby reducing the cost and the complexity.
S1, at different timesAnd->And collecting and recording real-time waveform data of primary side voltage and secondary side voltage and current of the transformer. />And->The time interval should be not less than 1 minute. The data sampling of primary side and secondary side of the transformer is synchronized by satellite clock. The length of the real-time waveform data acquired each time is one sampling period T. In a 50Hz system, the sampling period is 20ms; in a 60Hz system, the sampling period is 16.7ms. />The primary current and voltage data of the transformer collected at the moment is i1 (/ -)>)、u1(/>) The secondary side current and voltage data of the transformer is i2 (>)、u2(/>)；/>The primary current and voltage data of the transformer collected at the moment is i1 (/ -)>)、u1(/>) The secondary side current and voltage data of the transformer is i2 (>)、u2(/>)。
S2, respectively calculating according to the data of one sampling periodAnd->And the phasor values of the primary side current and the secondary side current and the voltage of the transformer at the moment. Wherein (1)>The current and voltage of the primary side of the transformer at the moment have a phasor value of +.>The phase value of the current and voltage reduced from the secondary side to the primary side of the transformer is +.>The current and voltage of the primary side of the transformer at the moment have a phasor value of +.>The phase value of the current and the voltage which are calculated from the secondary side to the primary side of the transformer is；
The method for calculating comprises the following steps:
= />
= />
and->The actual value of the secondary side is the phasor value represented by a complex number. />For the angle of connecting the group number, the number can be checked from a transformer nameplate or a manual; />Is transformer transformation ratio->Plural->Is an exponential expression of->Is the imaginary unit of the complex number.
S3, calculating parameters of a T-shaped equivalent circuit of the transformer:
at the position ofAnd->Collecting voltage and current waveforms of a sampling period of a primary side and a secondary side of the transformer at any time, and calculating to obtain two groups of values, wherein +.>At moment, the voltage and the current of the primary side of the transformer are respectively as follows:the primary side equivalent impedance +.>Is finally obtained as a value of (2)>At the same time obtain excitation impedance +.>
；
；
Short circuit impedance of the transformer:
；
excitation impedance of the transformer:
；
、/>phasor values for primary side phase voltage and current of the transformer; />、/>The phase voltage and the current of the secondary side of the transformer are calculated to the phase value of the primary side. All the above are primary values.
S4, calculating transformer transformation ratio and coupling group: calculating transformer transformation ratio，/>、/>The primary and secondary side are in-phase line voltage values, which are primary values.
The calculated value is compared with the transformer nameplate value, and the calculated value cannot exceed +/-0.5%, and then an alarm is prompted.
Note that for a transformer employing taps, the position of the taps needs to be considered.
Coupling group
， />、 />The phasor value of the line voltages on the primary side and the secondary side is the primary value,/>For the angle corresponding to the connection group number
S5, calculating transformer loss:
load loss:
；
in the method, in the process of the invention,is primary three-phase active power, +.>Is the three-phase active power of the secondary side
Loss ofNameplate values of not more than 15% and not more than 10% >>。
No-load current:
cannot be measured under the condition of running the transformer, and is calculated through an equivalent circuit
=/>，/>The modulus value of (2) is no-load current value, and can not exceed 30% of nameplate value.
No-load loss:
apparent power of no-load loss
；
Cannot exceed 15% of the nameplate value;
wherein,the phasor value is the primary voltage of the transformer; />Phasor values for the excitation current of the transformer; />Conjugation of the phasor value of exciting current of the transformer; />Active power which is excitation power of the transformer; />Reactive power for the transformer excitation power.
S6, repeating the steps every 24 hours, storing the data obtained by calculation (the data comprise transformer T-shaped equivalent circuit parameter data, transformer transformation ratio and connection group parameter data, transformer loss data and the like) into a database, and drawing a parameter curve.
S7, processing and sequencing the data, removing the largest data groups and the smallest data groups, calculating an average value, storing the average value into a database, and comparing the average value with the previous data to obtain a variation difference value.
And S8, taking one month as a monitoring period, and sending out a prompt inspection signal if the variation difference value shows an increasing or decreasing trend in the monitoring period.
As shown in fig. 4, the device for performing transformer health monitoring by using parameter identification includes an acquisition module 200, a calculation module 300, a transformation module 400, a transformation ratio and coupling group calculation module 500, a loss calculation module 600, a repetition calculation module 700, a processing module 800 and an alarm module 900. The various modules/units may perform the various steps/functions of the method for transformer health monitoring using parameter identification described hereinabove, respectively. Only the main functions of the respective components of the apparatus will be described below, and details already described above will be omitted.
An acquisition module 200 for at different timesAnd->Collecting and recording real-time waveform data of primary side voltage and secondary side voltage and current of the transformer, wherein the length of the real-time waveform data is one sampling period T;
a calculation module 300 for calculating respectively according to the real-time waveform data of one sampling period TAnd->Phasor values of primary and secondary side currents and voltages of the transformer at moment;
the transformation module 400 is used for calculating parameters of the T-shaped equivalent circuit of the transformer after the phasor values are transformed;
a transformation ratio and coupling group calculation module 500 for calculating transformer transformation ratios and coupling groups;
a loss calculation module 600 for calculating transformer loss;
the repeated calculation module 700 is configured to repeatedly collect real-time waveform data of voltage and current at two ends of the transformer, where the length of the real-time waveform data is one sampling period, calculate phasor values of the voltage and the current at two ends according to the real-time waveform data of one sampling period, calculate parameters of a T-type equivalent circuit of the transformer after the phasor values are transformed, calculate transformer transformation ratio and coupling group and calculate transformer loss, store the data obtained by each calculation into a database, and draw a parameter curve, where the data includes parameter data of the T-type equivalent circuit of the transformer, transformer transformation ratio and coupling group parameter data and transformer loss data;
the processing module 800 is configured to process and sort the data, remove the largest groups of data and the smallest groups of data, calculate an average value, store the average value in the database, and compare the average value with the previous data to obtain a variation difference value;
the alarm module 900 is configured to set a monitoring period, and send out a prompting inspection signal if the daily variation difference value shows a trend of increasing or decreasing in the monitoring period.
The units may be implemented by the processor 102 in the electronic device shown in fig. 1 running program instructions stored in the storage means 104.
Various component embodiments of the invention may be implemented in hardware, or in software modules/units running on one or more processors, or in a combination thereof. Those skilled in the art will appreciate that a microprocessor or Digital Signal Processor (DSP) may be used in practice to implement some or all of the functions of some of the modules/units in an apparatus for transformer health monitoring using parameter identification in accordance with an embodiment of the present invention. The present invention can also be implemented as an apparatus program (e.g., a computer program and a computer program product) for performing a portion or all of the methods described herein. Such a program embodying the present invention may be stored on a computer readable medium, or may have the form of one or more signals. Such signals may be downloaded from an internet website, provided on a carrier signal, or provided in any other form.
Although embodiments of the present invention have been shown and described, it will be understood by those skilled in the art that various changes, modifications, substitutions and alterations can be made therein without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (10)
1. A method for transformer health monitoring by using parameter identification, which is characterized by comprising the following steps:
s1, at different timesAnd->Collecting and recording real-time waveform data of primary side and secondary side voltages and currents of the transformer, wherein the length of the real-time waveform data is one sampling period T;
s2, respectively calculating according to the real-time waveform data of one sampling period TAnd->Phasor values of primary and secondary side currents and voltages of the transformer at the moment;
s3, after the phasor values are transformed, parameters of a T-shaped equivalent circuit of the transformer are calculated;
s4, calculating transformer transformation ratio and coupling group parameter data;
s5, calculating transformer loss;
s6, repeating the steps S1 to S5 at intervals, storing the data obtained by calculation in a database, and drawing a parameter curve, wherein the data comprises the parameter data of a T-shaped equivalent circuit of the transformer, the transformer transformation ratio, the coupling group parameter data and the transformer loss data;
s7, processing and sequencing the data, removing the largest groups of data and the smallest groups of data, calculating an average value, storing the average value into a database, and comparing the average value with the previous data to obtain a variation difference value;
s8, setting a monitoring period, and sending out a prompt inspection signal if the daily variation difference value shows a trend of increasing or decreasing in the monitoring period.
2. The method for transformer health monitoring using parameter identification as claimed in claim 1, wherein, in step S1,and->The time interval is not less than 1 minute, and the data sampling of the primary side and the secondary side of the transformer is synchronized through a satellite clock;
in a 50Hz system, the sampling period is 20ms; in a 60Hz system, the sampling period is 16.7ms;
the primary current and voltage data of the transformer collected at the moment is i1 (/ -)>)、u1(/>) The secondary side current and voltage data of the transformer is i2 (>)、u2(/>)；
The primary current and voltage data of the transformer collected at the moment is i1 (/ -)>)、u1(/>) The secondary side current and voltage data of the transformer is i2 (>)、u2(/>)；
In the step S6, repeating the steps S1-S5 every 24 hours;
in step S8, one month is taken as one monitoring period.
3. The method for transformer health monitoring using parameter identification as claimed in claim 1, wherein, in step S2,the current and voltage of the primary side of the transformer at the moment have a phasor value of +.>The phase value of the current and voltage reduced from the secondary side to the primary side of the transformer is +.>；
The current and voltage of the primary side of the transformer at the moment have a phasor value of +.>The phase value of the current and voltage reduced from the secondary side to the primary side of the transformer is +.>；
The method for calculating comprises the following steps:
= />；
= />；
and->For the actual value of the secondary side, for the phasor value represented by complex numbers, +>For the angle of the connection group number +.>Is transformer transformation ratio->Plural->Is an exponential expression of->Is the imaginary unit of the complex number.
4. The method for transformer health monitoring by using parameter identification as claimed in claim 1, wherein in step S3, calculating parameters of the T-type equivalent circuit of the transformer specifically comprises:
at the position ofAnd->Collecting voltage and current waveforms of a sampling period of a primary side and a secondary side of the transformer at any time, and calculating to obtain two groups of values, wherein +.>At moment, the voltage and the current of the primary side of the transformer are respectively as follows:the simultaneous combination is carried out to obtain the equivalent impedance of the primary side in the equivalent circuit of the transformer>Is finally obtained as a value of (2)>At the same time obtain excitation impedance +.>。
5. A method for transformer health monitoring using parameter identification as defined in claim 4,
；
；
short circuit impedance of the transformer:；
excitation impedance of the transformer:；
、/>phasor values for primary side phase voltage and current of the transformer; />、/>The phase voltage and the current of the secondary side of the transformer are calculated to the phase value of the primary side.
6. The method for transformer health monitoring using parameter identification according to claim 1, wherein the calculating transformer transformation ratio and coupling group comprises: transformer transformation ratio is，/>，/>、/>In-phase line voltage for primary side and secondary sideThe modulus value is a primary value;
the connection group is as follows:， />、 />the phasor value of the line voltages on the primary side and the secondary side is the primary value,/>The angle corresponding to the connection group number.
7. A method for transformer health monitoring using parameter identification according to claim 1 wherein said calculating transformer losses comprises load losses and no-load losses, wherein,
load loss:
；
in the method, in the process of the invention,is primary three-phase active power, +.>The power is the three-phase active power of the secondary side;
no-load loss:
apparent power of no-load loss；
Wherein,the phasor value is the primary voltage of the transformer; />Phasor values for the excitation current of the transformer; />Conjugation of the phasor value of exciting current of the transformer; />Active power which is excitation power of the transformer; />Reactive power which is excitation power of the transformer;
dead current of dead loss is calculated through an equivalent circuit=/>，/>The modulus of (a) is no-load current value, +.>For the primary side equivalent impedance in the transformer equivalent circuit, < > in the same sense as the primary side equivalent impedance in the transformer equivalent circuit>Is an excitation impedance.
8. An apparatus for transformer health monitoring using parameter identification, comprising:
acquisition module for at different timesAnd->Collecting and recording real-time waveform data of primary side and secondary side voltages and currents of the transformer, wherein the length of the real-time waveform data is one sampling period T;
a calculation module for calculating respectively according to the real-time waveform data of one sampling period TAnd->Phasor values of primary and secondary side currents and voltages of the transformer at the moment;
the transformation module is used for calculating parameters of the T-shaped equivalent circuit of the transformer after the phasor values are transformed;
the transformation ratio and connection group calculation module is used for calculating transformer transformation ratio and connection group parameter data;
the loss calculation module is used for calculating the loss of the transformer;
the repeated calculation module is used for repeatedly collecting real-time waveform data of voltages and currents at two ends of the transformer, the length of the real-time waveform data is one sampling period, phasor values of the currents and the voltages at the two ends are calculated respectively according to the real-time waveform data of one sampling period, parameters of a T-shaped equivalent circuit of the transformer are calculated after the phasor values are converted, transformer transformation ratios and connection groups are calculated, transformer loss is calculated, the calculated data are stored in a database, a parameter curve is drawn, and the data comprise parameter data of the T-shaped equivalent circuit of the transformer, transformer transformation ratios and connection group parameter data and transformer loss data;
the processing module is used for processing and sequencing the data, removing the largest groups of data and the smallest groups of data, calculating an average value, storing the average value into a database, and comparing the average value with the previous data to obtain a variation difference value;
and the alarm module is used for setting a monitoring period, and sending out a prompt inspection signal if the daily variation difference value shows a trend of increasing or decreasing in the monitoring period.
9. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method according to any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method according to any one of claims 1 to 7.
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