CN114417574B - Method and device for calculating severity of turn-to-turn short circuit - Google Patents

Method and device for calculating severity of turn-to-turn short circuit Download PDF

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CN114417574B
CN114417574B CN202111642836.8A CN202111642836A CN114417574B CN 114417574 B CN114417574 B CN 114417574B CN 202111642836 A CN202111642836 A CN 202111642836A CN 114417574 B CN114417574 B CN 114417574B
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voltage
distortion rate
average value
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CN114417574A (en
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许海林
李晖
鄂盛龙
江俊飞
王磊
黄勇
罗颖婷
周恩泽
魏瑞增
刘淑琴
石墨
彭发东
章坚
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Guangdong Power Grid Co Ltd
Electric Power Research Institute of Guangdong Power Grid Co Ltd
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Guangdong Power Grid Co Ltd
Electric Power Research Institute of Guangdong Power Grid Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/10Complex mathematical operations
    • G06F17/18Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/20Administration of product repair or maintenance
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
    • G06Q50/06Electricity, gas or water supply
    • 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
    • Y04INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
    • Y04SSYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
    • Y04S10/00Systems supporting electrical power generation, transmission or distribution
    • Y04S10/50Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications

Abstract

The invention discloses a method and a device for calculating the severity of turn-to-turn short circuit, wherein the method comprises the following steps: acquiring a voltage ratio and a distortion rate average value; the voltage ratio is the ratio between the high-voltage side voltage and the low-voltage side voltage of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rate is the average value of the total current harmonic distortion rate under different turn-to-turn short circuits; calculating to obtain a first function by combining a linear regression method according to the voltage ratio and the distortion rate average value; and acquiring real-time electric power data, and calculating to obtain the real-time severity of turn-to-turn short circuit by combining the first function. By adopting the embodiment of the invention, the instantaneity of calculating the turn-to-turn short circuit severity can be improved.

Description

Method and device for calculating turn-to-turn short circuit severity
Technical Field
The invention relates to the technical field of data processing, in particular to a method and a device for calculating the severity of turn-to-turn short circuit.
Background
With the advance of smart grid construction, power supply reliability and safety issues have become very important concerns. Distribution transformers (hereinafter referred to as distribution transformers) are used as key equipment of the last kilometer of a power distribution network system, bear important tasks of electric energy transmission and distribution, and have very important significance on safety and reliability of power grid enterprises and users in the actual operation condition. Turn-to-turn short circuits in distribution transformer windings typically occur due to defects in the manufacturing or repair process, as well as damage to the winding insulation bars during operation. Turn-to-turn short circuits cause increased current in the windings and thus lead to increased wire temperature, resulting in damage to the insulation and even burning of the insulation causing further current increase, leading to further failure. In addition, inter-turn shorts can cause molten metal (copper or aluminum) to splatter, damaging adjacent turns or other windings.
The phenomenon of turn-to-turn short circuit is: the distribution transformer generates heat abnormally, sometimes has special filament sound, the current at the power supply side is increased to a certain extent, the resistance of each phase of the transformer winding is different, but the difference value is small, so the winding turn-to-turn short circuit fault can not be measured by a megohmmeter. The existing method for determining turn-to-turn short circuit is that 110% -120% of rated voltage is added to a winding, and the place where smoke is emitted outwards at the moment is the turn-to-turn short circuit part, but the experiment has certain destructiveness and the severity of the distribution transformer turn-to-turn short circuit is difficult to calculate in real time through real-time monitoring data.
In summary, the existing method for calculating the severity of turn-to-turn short circuit has the problem of poor real-time performance.
Disclosure of Invention
The embodiment of the invention provides a method and a device for calculating the turn-to-turn short circuit severity, which improve the instantaneity of calculating the turn-to-turn short circuit severity.
A first aspect of an embodiment of the present application provides a method for calculating a severity of turn-to-turn short circuit, including:
acquiring a voltage ratio and a distortion rate average value; the voltage ratio is the ratio between the high-voltage side voltage and the low-voltage side voltage of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rate is the average value of the total current harmonic distortion rate under different turn-to-turn short circuits;
calculating to obtain a first function by combining a linear regression method according to the voltage ratio and the average distortion rate;
and acquiring real-time electric power data, and calculating to obtain the real-time severity of turn-to-turn short circuit by combining the first function.
In a possible implementation manner of the first aspect, the obtaining the voltage ratio and the average distortion rate specifically includes:
after different high-voltage winding contacts are simulated into different turn-to-turn short circuits, sampling experimental voltage values and experimental current values under different high-voltage winding contacts according to a preset sampling frequency;
and calculating to obtain a voltage ratio and an average distortion rate according to the experimental voltage value and the experimental current value.
In a possible implementation manner of the first aspect, the obtaining of the real-time power data and the calculating of the real-time severity of the turn-to-turn short circuit by combining the first function are specifically:
β=f(k,α)=Ak+Bα+C;
wherein beta is the real-time severity of turn-to-turn short circuit, A, B and C are model parameters, and k and alpha are real-time power data.
In one possible implementation manner of the first aspect, the preset sampling frequency is 256 points/cycle.
A second aspect of embodiments of the present application provides an apparatus for calculating a severity of turn-to-turn short circuit, including: the device comprises an acquisition module, a first calculation module and a second calculation module;
the acquisition module is used for acquiring a voltage ratio and a distortion rate average value; the voltage ratio is the ratio between the voltage of the high-voltage side and the voltage of the low-voltage side of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rates is the average value of the total distortion rates of current harmonics under different turn-to-turn short circuits;
the first calculation module is used for calculating to obtain a first function according to the voltage ratio and the distortion rate average value by combining a linear regression method;
and the second calculation module is used for acquiring real-time electric power data and calculating to obtain the real-time severity of turn-to-turn short circuit by combining the first function.
In a possible implementation manner of the second aspect, the voltage ratio and the average distortion rate are obtained by:
after different high-voltage winding contacts are simulated into different turn-to-turn short circuits, sampling experimental voltage values and experimental current values under different high-voltage winding contacts according to a preset sampling frequency;
and calculating to obtain a voltage ratio and an average distortion rate according to the experimental voltage value and the experimental current value.
In a possible implementation manner of the second aspect, the real-time power data is acquired, and the real-time severity of the turn-to-turn short circuit is calculated by combining with the first function, specifically:
β=f(k,α)=Ak+Bα+C;
wherein beta is the real-time severity of turn-to-turn short circuit, A, B and C are model parameters, and k and alpha are real-time power data.
In one possible implementation of the second aspect, the preset sampling frequency is 256 points/cycle.
Compared with the prior art, the method and the device for calculating the turn-to-turn short circuit severity degree provided by the embodiment of the invention comprise the following steps: acquiring a voltage ratio and a distortion rate average value; the voltage ratio is the ratio between the high-voltage side voltage and the low-voltage side voltage of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rate is the average value of the total current harmonic distortion rate under different turn-to-turn short circuits; calculating to obtain a first function by combining a linear regression method according to the voltage ratio and the distortion rate average value; and acquiring real-time electric power data, and calculating to obtain the real-time severity of turn-to-turn short circuit by combining the first function.
The beneficial effects are that: according to the embodiment of the invention, a first function is obtained by combining a linear regression method according to the voltage ratio and the average distortion rate; and substituting the real-time power data into the first function to calculate the real-time severity of the turn-to-turn short circuit. The embodiment of the invention can monitor and calculate the real-time severity of turn-to-turn short circuit in real time according to real-time power data, improves the real-time performance of calculating the severity of turn-to-turn short circuit, can find the short circuit problem and emergency of the distribution transformer in time, and further ensures the safety of the distribution transformer.
Meanwhile, on the premise of not needing destructive experiments, the method and the device can calculate the real-time severity of turn-to-turn short circuit only by acquiring real-time electric power data, and are low in implementation cost and high in economy and feasibility.
Further, compared with the method for determining the severity of the turn-to-turn short circuit through a manual operation experiment, the method and the device for determining the severity of the turn-to-turn short circuit can improve accuracy by calculating the severity through objective data and functions, and can effectively guide the development of operation and maintenance and overhaul work of the distribution transformer.
Drawings
Fig. 1 is a schematic flowchart of a method for calculating a severity of turn-to-turn short circuit according to an embodiment of the present invention;
fig. 2 is a schematic structural diagram of a device for calculating the severity of turn-to-turn short circuit according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, which is a schematic flow chart of a method for calculating a turn-to-turn short circuit severity according to an embodiment of the present invention, includes steps S101-S103:
s101: and acquiring a voltage ratio value and a distortion rate average value.
The voltage ratio is a ratio between voltages at a high voltage side and a low voltage side of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rates is an average value of total distortion rates of current harmonics under different turn-to-turn short circuits.
In this embodiment, the obtaining the voltage ratio and the average distortion ratio specifically includes:
after different high-voltage winding contacts are simulated into different turn-to-turn short circuits, sampling experimental voltage values and experimental current values under the different high-voltage winding contacts according to a preset sampling frequency;
and calculating to obtain a voltage ratio and an average distortion rate according to the experimental voltage value and the experimental current value, and then obtaining the voltage ratio and the average distortion rate.
Further, the different turn-to-turn short circuits refer to turn-to-turn short circuits formed by different short circuit turns.
The voltage ratio and the average distortion rate are calculated according to experimental data (i.e., experimental voltage value and experimental current value) and are analog data.
In a specific embodiment, since the voltage ratio and the average distortion rate are analog data, the voltage ratio is a ratio between voltages on a high-voltage side and a low-voltage side of the distribution transformer under different turn-to-turn short circuits in the experiment, and the average distortion rate is an average of total distortion rates of current harmonics under different turn-to-turn short circuits in the experiment.
The experimental voltage values include: in the experiment, the voltage instantaneous value of the high-voltage side of the distribution transformer and the voltage instantaneous value of the low-voltage side of the distribution transformer are calculated; the experimental current values include: in the experiment, the effective value of i-th harmonic current on the high-voltage side of the distribution transformer, the fundamental wave current on the high-voltage side of the distribution transformer, the effective value of i-th harmonic current on the low-voltage side of the distribution transformer and the fundamental wave current on the low-voltage side of the distribution transformer are obtained.
The voltage ratio is calculated and can be represented by the following equation:
k'=V H /V L
Figure BDA0003442919120000051
Figure BDA0003442919120000052
wherein, V L For different low-voltage side voltage values, V, of distribution transformer under turn-to-turn short circuit H The voltage values of the high-voltage side of the distribution transformer under different turn-to-turn short circuits are obtained; and k' is the voltage ratio, namely the ratio between the voltage at the high-voltage side and the voltage at the low-voltage side of the distribution transformer under different turn-to-turn short circuits in the experiment. T is the period of one cycle of voltage, u H For measuring instantaneous value u of high voltage of distribution transformer in experiment L The instantaneous value of the voltage on the low-voltage side of the distribution transformer in the experiment is shown.
Then the average distortion rate is calculated, which can be expressed by the following formula:
α'=(THD H +THD L )/2;
Figure BDA0003442919120000053
Figure BDA0003442919120000061
wherein, THD H For the total harmonic distortion, THD, of the high-side current of the distribution transformer L For the total distortion rate, I, of the current harmonics on the low-voltage side of the distribution transformer iH Is the effective value of I-order harmonic current at the high-voltage side of the distribution transformer in the experiment, I iL Is the effective value of I-th harmonic current at the low-voltage side of the distribution transformer in the experiment, I 1H For the high-voltage side-group wave current of the distribution transformer in the experiment, I 1L Alpha' is the average value of distortion rate, namely the total distortion of current harmonic waves under different turn-to-turn short circuits in the experimentAverage value of the rate.
Further, different high-voltage winding contacts are simulated into different turn-to-turn short circuits, specifically:
the turn-to-turn short circuit jumper board is installed on a distribution transformer body, a plurality of high-voltage winding contacts are led out, and the turn-to-turn short circuits of different winding quantities of the distribution transformer are simulated through connection of different high-voltage winding contacts, so that the establishment of a simulation experiment environment is completed.
In the simulation experiment environment, the severity β' of the turn-to-turn short circuit is further calculated and can be represented by the following formula:
β'=n short /n all *100%;
wherein n is short Number of windings for simulated short circuit in the experiment; n is all The total number of windings in the experiment.
In one embodiment, the predetermined sampling frequency is 256 points/cycle. Further, the period of one cycle is 20ms.
S102: and calculating to obtain a first function according to the voltage ratio and the average value of the distortion rate by combining a linear regression method.
Further, since the experimental data obtained in the above simulation experiment include: simulated turn-to-turn short severity β ' as well as multiple sets of distortion rate average α ' data and multiple sets of voltage ratio k ' data. Then, according to the linear regression algorithm and the above experimental data, a first function can be obtained, which is as follows:
β'=f(k',α')=Ak'+Bα'+C;
wherein, A, B and C are model parameters and are obtained by calculation according to a linear regression algorithm and the experimental data. From the above, the first function establishes the inter-turn short circuit severity β ' and the relationship between the multiple sets of distortion rate average value α ' data and the multiple sets of voltage ratio k ' data according to the experimental data, and the real-time severity of the inter-turn short circuit can be calculated by substituting the real-time power data into the first function.
S103: and acquiring real-time electric power data, and calculating to obtain the real-time severity of turn-to-turn short circuit by combining the first function.
In this embodiment, the obtaining of the real-time power data and the calculating of the real-time severity of the turn-to-turn short circuit by combining the first function specifically include:
β=f(k,α)=Ak+Bα+C;
wherein β is the real-time severity of the turn-to-turn short circuit, A, B and C are model parameters, and k and α are the real-time power data. Further, the real-time power data comprises a real-time voltage ratio and a real-time distortion ratio average value, and k is the real-time voltage ratio, namely the ratio between the voltage at the high-voltage side and the voltage at the low-voltage side of the distribution transformer under different actual turn-to-turn short circuits; alpha is the average value of the real-time distortion rate and the actual average value of the total distortion rate of the current harmonic waves under different turn-to-turn short circuits.
To further illustrate the apparatus for calculating the turn-to-turn short circuit severity, please refer to fig. 2, where fig. 2 is a schematic structural diagram of a calculation of the turn-to-turn short circuit severity according to an embodiment of the present invention, including: an acquisition module 201, a first calculation module 202 and a second calculation module 203;
the obtaining module 201 is configured to obtain a voltage ratio and a distortion average; the voltage ratio is the ratio between the high-voltage side voltage and the low-voltage side voltage of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rate is the average value of the total current harmonic distortion rate under different turn-to-turn short circuits;
the first calculating module 202 is configured to calculate a first function according to the voltage ratio and the distortion rate average value by combining a linear regression method;
the second calculating module 203 is configured to obtain real-time power data, and calculate a real-time severity of the turn-to-turn short circuit by combining the first function.
In this embodiment, the obtaining the voltage ratio and the average distortion rate specifically includes:
after different high-voltage winding contacts are simulated into different turn-to-turn short circuits, sampling experimental voltage values and experimental current values under the different high-voltage winding contacts according to a preset sampling frequency;
and calculating and obtaining the voltage ratio and the average distortion rate according to the experimental voltage value and the experimental current value.
In this embodiment, the obtaining of the real-time power data and the calculating of the real-time severity of the turn-to-turn short circuit by combining the first function specifically include:
β=f(k,α)=Ak+Bα+C;
wherein β is the real-time severity of the turn-to-turn short circuit, A, B and C are model parameters, and k and α are the real-time power data.
In this embodiment, the predetermined sampling frequency is 256 points/cycle.
In one embodiment, the present invention provides a mobile terminal, which includes a processor and a memory, wherein the memory stores a computer readable program code, and the processor executes the computer readable program code to implement the steps of calculating the turn-to-turn short severity method.
In a particular embodiment, the invention provides a storage medium storing computer readable program code that when executed performs the steps of calculating a turn-to-turn short severity method described above.
In the embodiment of the invention, firstly, the voltage ratio and the average distortion rate are obtained through the obtaining module 201; the voltage ratio is the ratio between the voltage of the high-voltage side and the voltage of the low-voltage side of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rates is the average value of the total distortion rates of current harmonics under different turn-to-turn short circuits; then, the first calculation module 202 calculates a first function according to the voltage ratio and the average distortion rate by combining a linear regression method; and finally, acquiring real-time power data through a second calculation module 203, and calculating to obtain the real-time severity of turn-to-turn short circuit by combining with the first function.
According to the embodiment of the invention, a first function is obtained by calculation in combination with a linear regression method according to the voltage ratio and the average value of the distortion rate; and substituting the real-time power data into the first function to calculate the real-time severity of the turn-to-turn short circuit. The embodiment of the invention can monitor and calculate the real-time severity of turn-to-turn short circuit in real time according to the real-time power data, improves the real-time performance of calculating the severity of turn-to-turn short circuit, can find the short circuit problem and emergency condition of the distribution transformer in time, and further ensures the safety of the distribution transformer.
Meanwhile, on the premise of not needing destructive experiments, the method and the device can calculate the real-time severity of turn-to-turn short circuit only by acquiring real-time electric power data, and are low in implementation cost and high in economy and feasibility.
Further, compared with the method for determining the severity of the turn-to-turn short circuit through a manual operation experiment, the method and the device for determining the severity of the turn-to-turn short circuit can improve accuracy by calculating the severity through objective data and functions, and can effectively guide the development of operation and maintenance and overhaul work of the distribution transformer.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention.

Claims (8)

1. A method for calculating the severity of turn-to-turn short, comprising:
acquiring a voltage ratio and a distortion rate average value; the voltage ratio is the ratio between the high-voltage side voltage and the low-voltage side voltage of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rate is the average value of the total current harmonic distortion rate under different turn-to-turn short circuits; wherein the distortion rate average value is calculated and can be expressed by the following formula:
α'=(THD H +THD L )/2;
Figure 738215DEST_PATH_IMAGE001
Figure 750165DEST_PATH_IMAGE002
wherein, THD H For the total harmonic distortion, THD, of the high-side current of the distribution transformer L For the total harmonic distortion rate, I, of the current at the low-voltage side of the distribution transformer iH Is the effective value of I-order harmonic current at the high-voltage side of the distribution transformer in the experiment, I iL Is the effective value of I-th harmonic current at the low-voltage side of the distribution transformer in the experiment, I 1H For the high-voltage side-group wave current of the distribution transformer in the experiment, I 1L The distortion rate is the average value of the low-voltage side-group wave current of the distribution transformer in the experiment, and alpha' is the average value of the total distortion rate of the current harmonic waves under different turn-to-turn short circuits in the experiment;
calculating to obtain a first function by combining a linear regression method according to the voltage ratio and the distortion rate average value;
acquiring real-time electric power data, and calculating to obtain the real-time severity of turn-to-turn short circuit by combining the first function, wherein the calculation is specifically as follows:
Figure 481360DEST_PATH_IMAGE003
;
wherein the content of the first and second substances,βif the real-time power data comprise a real-time voltage ratio and a real-time distortion rate average value, k is the real-time voltage ratio, namely the ratio between the high-voltage side voltage and the low-voltage side voltage of the distribution transformer under different turn-to-turn short circuits in practice; alpha is the average value of the real-time distortion rate, and the average value of the current harmonic wave total distortion rate under different turn-to-turn short circuits in practice.
2. The method for calculating the severity of turn-to-turn short circuit according to claim 1, wherein the obtaining of the voltage ratio and the average distortion rate specifically comprises:
after different high-voltage winding contacts are simulated into different turn-to-turn short circuits, sampling experimental voltage values and experimental current values under the different high-voltage winding contacts according to a preset sampling frequency;
and calculating to obtain the voltage ratio and the average value of the distortion rate according to the experimental voltage value and the experimental current value.
3. The method according to claim 2, wherein the predetermined sampling frequency is 256 points/cycle.
4. An apparatus for calculating the severity of turn-to-turn short, comprising: the device comprises an acquisition module, a first calculation module and a second calculation module;
the obtaining module is used for obtaining a voltage ratio and a distortion rate average value; the voltage ratio is the ratio between the high-voltage side voltage and the low-voltage side voltage of the distribution transformer under different turn-to-turn short circuits, and the average value of the distortion rate is the average value of the total current harmonic distortion rate under different turn-to-turn short circuits; wherein the average value of the distortion rate is calculated and can be represented by the following formula:
α'=(THD H +THD L )/2;
Figure 786308DEST_PATH_IMAGE001
Figure 602955DEST_PATH_IMAGE002
wherein, THD H For the total harmonic distortion, THD, of the high-side current of the distribution transformer L For the total distortion rate, I, of the current harmonics on the low-voltage side of the distribution transformer iH Is the effective value of I-order harmonic current at the high-voltage side of the distribution transformer in the experiment, I iL Is the effective value of I-order harmonic current at the low-voltage side of the distribution transformer in the experiment, I 1H For the high-voltage side-group wave current of the distribution transformer in the experiment, I 1L The distortion rate is the average value of the low-voltage side-group wave current of the distribution transformer in the experiment, and alpha' is the average value of the total distortion rate of the current harmonic waves under different turn-to-turn short circuits in the experiment;
the first calculation module is used for calculating a first function by combining a linear regression method according to the voltage ratio and the distortion rate average value;
the second calculation module is used for acquiring real-time electric power data and calculating to obtain the real-time severity of turn-to-turn short circuit by combining the first function, and specifically comprises the following steps:
Figure 153016DEST_PATH_IMAGE003
;
wherein the content of the first and second substances,βthe A, the B and the C are model parameters for the real-time severity of the turn-to-turn short circuit, the real-time power data comprise a real-time voltage ratio and a real-time distortion rate average value, and k is the real-time voltage ratio, namely the ratio between the high-voltage side voltage and the low-voltage side voltage of the distribution transformer under different actual turn-to-turn short circuits; alpha is the average value of the real-time distortion rate and the actual average value of the total distortion rate of the current harmonic waves under different turn-to-turn short circuits.
5. The apparatus for calculating the severity of turn-to-turn short circuit according to claim 4, wherein the voltage ratio and the average distortion ratio are obtained by:
after different high-voltage winding contacts are simulated into different turn-to-turn short circuits, sampling experimental voltage values and experimental current values under the different high-voltage winding contacts according to a preset sampling frequency;
and calculating to obtain the voltage ratio and the average value of the distortion rate according to the experimental voltage value and the experimental current value.
6. The apparatus for calculating the severity of turn-to-turn short circuit according to claim 5, wherein the predetermined sampling frequency is 256 points/cycle.
7. A mobile terminal comprising a processor and a memory, said memory storing computer readable program code, said processor when executing said computer readable program code implementing the steps of calculating a turn-to-turn short severity method according to any one of claims 1 to 3.
8. A storage medium storing computer readable program code which when executed performs the steps of calculating a turn-to-turn short severity method of any one of claims 1 to 3.
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* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109460609A (en) * 2018-11-10 2019-03-12 东北电力大学 A kind of transformer winding turn-to-turn short circuit reverse circulating calculation method

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101025434A (en) * 2007-03-28 2007-08-29 华北电力大学 Asynchronous motor stator winding inter-turn short circuit failure on-line detecting method and device
US20090313812A1 (en) * 2008-06-24 2009-12-24 Sergey Pulnikov Method for making electrical windings for electrical apparatus and transformers and winding obtained by said method
CN101672894B (en) * 2009-10-14 2012-01-04 华北电力大学(保定) Motor rotor turn-to-turn short circuit diagnosis method based on high-order harmonic shaft voltage signals
CN101710162A (en) * 2009-11-27 2010-05-19 华北电力大学(保定) Motor rotor winding interturn short-circuit failure diagnosing method based on stator iron core vibration
CN102087329B (en) * 2010-11-19 2013-05-22 清华大学 Method for judging turn-to-turn short circuit fault position and number of short circuit turns of steam turbine generator rotor
CN102360054B (en) * 2011-09-20 2014-10-15 华北电力大学(保定) Diagnostic method for estimating turn-to-turn short circuit fault degree of large generator exciting windings
CN102998591B (en) * 2012-12-06 2015-01-07 华北电力大学(保定) Positioning method of generator rotor winding dynamic inter-turn short circuit fault
CN105425100B (en) * 2015-11-04 2018-09-25 上海电气电站设备有限公司 A kind of rotor inter-turn short circuit fault degree measurement and pinpoint method

Patent Citations (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN109460609A (en) * 2018-11-10 2019-03-12 东北电力大学 A kind of transformer winding turn-to-turn short circuit reverse circulating calculation method

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