Disclosure of Invention
In view of the foregoing, it is an object of the present application to provide a distribution transformer state discrimination method, system, apparatus and computer readable storage medium capable of rating the operational state of a distribution transformer. The specific scheme is as follows:
a method for discriminating the state of a distribution transformer, comprising:
measuring and obtaining inter-turn short circuit current of a distribution transformer;
comparing the inter-turn short circuit current of the distribution transformer with a pre-designated distribution transformer state discrimination standard to obtain a distribution transformer state;
the process for formulating the state discrimination standard of the distribution transformer comprises the following steps:
disconnecting the high-voltage side winding injection power supply of the distribution transformer;
injecting sweep frequency signals at two ends of the low-voltage side winding terminal;
adjusting the resistance value of a rheostat to obtain frequency response amplitude and corresponding statistical index values when the distribution transformer is in boundaries among states, which are preset for a plurality of times;
calculating the confidence coefficient of the distribution transformer running in each state by using the statistical index value of the distribution transformer running in each state;
and obtaining the state discrimination standard of the distribution transformer according to the confidence coefficient.
Optionally, the process of calculating the confidence of the distribution transformer running in each state by using the statistical index value of the distribution transformer running in each state includes:
calculating the confidence coefficient of the distribution transformer running in each state by using a confidence coefficient calculation formula and a statistical index value of the distribution transformer running in each state;
the confidence coefficient calculation formula is as follows: c (x) =s (x|x e P)/S (y|y e Q);
wherein x is the statistical index value of the frequency response spectrum obtained by a certain measurement, S (x) is the area of the single-variable Gaussian distribution in the region P of x, P is the value set of all the statistical index values of the region P of x, S (y) is the value set of all the value regions Q of a certain statistical index value of the single-variable Gaussian distribution in the sweep range, Q is the value set of all the value values of a certain statistical index value, t is the integral variable of the Gaussian distribution function, sigma is the standard deviation, d is the minimum average distance of all the statistical index values in the region P, alpha is the correction factor, and the value is 0.674, z i 、z j The i and j value points of the statistical index function in the region P are respectively.
The application also discloses a distribution transformer state discrimination system, which comprises:
the short-circuit current acquisition module is used for measuring and acquiring inter-turn short-circuit current of the distribution transformer;
the state discrimination module is used for comparing the inter-turn short circuit current of the distribution transformer with a pre-designated state discrimination standard of the distribution transformer to obtain the state of the distribution transformer;
the process for formulating the state discrimination standard of the distribution transformer comprises the following steps:
disconnecting the high-voltage side winding injection power supply of the distribution transformer;
injecting sweep frequency signals at two ends of the low-voltage side winding terminal;
adjusting the resistance value of a rheostat to obtain frequency response amplitude and corresponding statistical index values when the distribution transformer is in boundaries among states, which are preset for a plurality of times;
calculating the confidence coefficient of the distribution transformer running in each state by using the statistical index value of the distribution transformer running in each state;
and obtaining the state discrimination standard of the distribution transformer according to the confidence coefficient.
Optionally, the process of calculating the confidence of the distribution transformer running in each state by using the statistical index value of the distribution transformer running in each state includes:
calculating the confidence coefficient of the distribution transformer running in each state by using a confidence coefficient calculation formula and a statistical index value of the distribution transformer running in each state;
the confidence coefficient calculation formula is as follows: c (x) =s (x|x e P)/S (y|y e Q);
wherein x is the statistical index value of the frequency response spectrum obtained by a certain measurement, S (x) is the area of the single-variable Gaussian distribution in the region P of x, P is the value set of all the statistical index values of the region P of x, S (y) is the value set of all the value regions Q of a certain statistical index value of the single-variable Gaussian distribution in the sweep range, Q is the value set of all the value values of a certain statistical index value, t is the integral variable of the Gaussian distribution function, sigma is the standard deviation, d is the minimum average distance of all the statistical index values in the region P, alpha is the correction factor, and the value is 0.674, z i 、z j The i and j value points of the statistical index function in the region P are respectively.
The application also discloses a state judging device of the distribution transformer, which comprises:
a memory for storing a computer program;
and the processor is used for executing the computer program to realize the distribution transformer state discrimination method.
The application also discloses a computer readable storage medium, wherein the computer readable storage medium stores a computer program, and the computer program realizes the distribution transformer state judging method when being executed by a processor.
The application discloses a state discrimination method of a distribution transformer, which comprises the following steps: measuring and obtaining inter-turn short circuit current of a distribution transformer; comparing the inter-turn short circuit current of the distribution transformer with a pre-designated distribution transformer state discrimination standard to obtain the distribution transformer state; the process for formulating the state discrimination standard of the distribution transformer comprises the following steps: disconnecting the high-voltage side winding injection power supply of the distribution transformer; injecting sweep frequency signals at two ends of the low-voltage side winding terminal; the resistance value of the rheostat is adjusted to obtain frequency response amplitude and corresponding statistical index values when the distribution transformer is in boundaries among states, which are preset for a plurality of times; calculating the confidence coefficient of the distribution transformer running in each state by using the statistical index value of the distribution transformer running in each state; and obtaining the state discrimination standard of the distribution transformer according to the confidence level.
The application prepares the judgment standard of each working state of the distribution transformer in advance, and can rapidly judge the working state of the distribution transformer by measuring the short-circuit current of the current distribution transformer and comparing the short-circuit current with the judgment standard of the state of the distribution transformer, thereby improving the detection efficiency of maintenance personnel.
Detailed Description
The following description of the embodiments of the present application 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 application, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the application without making any inventive effort, are intended to be within the scope of the application.
The embodiment of the application discloses a state discrimination method of a distribution transformer, which is shown in fig. 1 and comprises the following steps:
s11: measuring and obtaining inter-turn short circuit current of a distribution transformer;
s11: and comparing the inter-turn short circuit current of the distribution transformer with a pre-designated distribution transformer state discrimination standard to obtain the distribution transformer state.
The process for formulating the state discrimination standard of the distribution transformer comprises the following steps:
disconnecting the high-voltage side winding injection power supply of the distribution transformer;
injecting sweep frequency signals at two ends of the low-voltage side winding terminal;
the resistance value of the rheostat is adjusted to obtain frequency response amplitude and corresponding statistical index values when the distribution transformer is in boundaries among states, which are preset for a plurality of times;
calculating the confidence coefficient of the distribution transformer running in each state by using the statistical index value of the distribution transformer running in each state;
and obtaining the state discrimination standard of the distribution transformer according to the confidence level.
Specifically, the distribution transformer status discrimination criteria may specifically include (1), normal (green) area: the transformer is in a normal operation mode in the area, at the moment, the inter-turn short circuit current of the distribution transformer is zero, and the current passing through the rheostat is 0. (2) Green-yellow border: by reducing the resistance of the varistor, the severity of the turn-to-turn short is increased. The resistance value at which the short-circuit current through the varistor begins to appear is the boundary between the green and yellow regions. (3) Light failure (yellow) area: the transformer has a slight inter-turn fault in the region where the inter-turn short circuit current of the distribution transformer increases from zero and the current through the varistor is not 0. (4) Yellow-red boundary: the current through the varistor increases to 10% of the setting value of the differential protection of the transformer, i.e. 0.5% of the nominal current is used as the upper limit of the short-circuit current which can be tolerated by the yellow region, and the resistance value at this time is the boundary between the yellow and red regions. (5) Severe fault (red) area: the transformer has a severe turn-to-turn fault inside this region, where the current through the varistor exceeds the critical value of the upper yellow-red region boundary.
Specifically, referring to fig. 2, a short circuit monitoring experiment is performed on a distribution transformer winding, and a varistor Z R One end of the serial ammeter (precision grade: 1.5 grade) is connected with a low-voltage side winding terminal of the transformer, the other end of the serial ammeter is connected with each tap of the winding, and the high-voltage side winding is connected with a power frequency alternating current voltage source. By adjusting the resistance value of the varistor, the change of the insulation condition among the turns of the winding, namely the severity of the short circuit fault among the turns of the winding, is simulated. When the varistor is connected to a certain tap, the resistance value of the varistor is gradually reduced from 5k omega to 0 omega at intervals of 500 omega for each adjustment, and the current flowing through the ammeter under different resistance values is recorded. And (3) moving the tap position, and repeatedly adjusting the resistance value of the rheostat and recording current.
Specifically, the frequency response measurement is performed on the distribution transformer winding in the manner shown in fig. 3, wherein Z is the resistance of the measurement wire, the high-voltage side winding is disconnected and the power supply is injected, and a commercial Frequency Response Analysis (FRA) device is connected to both ends of the low-voltage side winding terminal, and the frequency sweep signal injected by the device ranges from 0Hz to 5KHz. And (2) sequentially connecting varistors to different taps, adjusting the varistors to the green-yellow boundary resistance value and the yellow-red boundary resistance value measured in the step (1), measuring the frequency response spectrum at the moment, and calculating statistical index values such as correlation coefficients, standard deviation, error square sum, logarithmic error absolute sum and the like according to the frequency response spectrum.
Further, in order to improve the accuracy of boundary measurement, the confidence coefficient of the distribution transformer running in each state is calculated by utilizing the statistical index value of the distribution transformer running in each state, and the error data is removed through the confidence coefficient, so that the accuracy is improved.
Therefore, the embodiment of the application prepares the judgment standard of each working state of the distribution transformer in advance, and can rapidly judge the working state of the distribution transformer by measuring the short-circuit current of the current distribution transformer and comparing the short-circuit current with the judgment standard of the state of the distribution transformer, thereby improving the detection efficiency of maintenance personnel.
Further, the process of calculating the confidence level of the distribution transformer operating in each state by using the statistical index value of the distribution transformer operating in each state includes:
and calculating the confidence coefficient of the distribution transformer in each state by using a confidence coefficient calculation formula and a statistical index value of the distribution transformer in each state.
Specifically, in order to eliminate uncertainty brought in the data collection process, confidence that the statistical index value is located in each region is introduced. For a certain statistical index value, the confidence of the value in a certain state area is a value with the point as the center, namely the mean value, and the standard deviation is the integral value of single-variable Gaussian distribution in the area with sigma (the variances of all the statistical index values in the same area are the same). From a frequency perspective, confidence can be understood as the proportion of times that a statistical index value is located within a particular region under repeated experiments, contributing to a more objective decision.
The confidence coefficient calculation formula is as follows: c (x) =s (x|x e P)/S (y|y e Q);
wherein x is the statistical index value of the frequency response spectrum obtained by a certain measurement, S (x) is the area of the single-variable Gaussian distribution in the region P of x, P is the value set of all the statistical index values of the region P of x, S (y) is the value set of all the value regions Q of a certain statistical index value of the single-variable Gaussian distribution in the sweep range, Q is the value set of all the value values of a certain statistical index value, t is the integral variable of the Gaussian distribution function, sigma is the standard deviation, d is the minimum average distance of all the statistical index values in the region P, alpha is the correction factor, and the value is 0.674, z i 、z j The i and j value points of the statistical index function in the region P are respectively.
Correspondingly, the embodiment of the application also discloses a state discrimination system of the distribution transformer, which is shown in fig. 4 and comprises the following steps:
the short-circuit current acquisition module 11 is used for measuring and acquiring inter-turn short-circuit current of the distribution transformer;
the state discrimination module 12 is used for comparing the inter-turn short circuit current of the distribution transformer with a pre-designated state discrimination standard of the distribution transformer to obtain the state of the distribution transformer;
the process for formulating the state discrimination standard of the distribution transformer comprises the following steps:
disconnecting the high-voltage side winding injection power supply of the distribution transformer;
injecting sweep frequency signals at two ends of the low-voltage side winding terminal;
the resistance value of the rheostat is adjusted to obtain frequency response amplitude and corresponding statistical index values when the distribution transformer is in boundaries among states, which are preset for a plurality of times;
calculating the confidence coefficient of the distribution transformer running in each state by using the statistical index value of the distribution transformer running in each state;
and obtaining the state discrimination standard of the distribution transformer according to the confidence level.
Therefore, the embodiment of the application prepares the judgment standard of each working state of the distribution transformer in advance, and can rapidly judge the working state of the distribution transformer by measuring the short-circuit current of the current distribution transformer and comparing the short-circuit current with the judgment standard of the state of the distribution transformer, thereby improving the detection efficiency of maintenance personnel.
Optionally, the process of calculating the confidence level of the distribution transformer operating in each state using the statistical index value of the distribution transformer operating in each state includes:
calculating the confidence coefficient of the distribution transformer running in each state by using a confidence coefficient calculation formula and a statistical index value of the distribution transformer running in each state;
the confidence coefficient calculation formula is as follows: c (x) =s (x|x e P)/S (y|y e Q);
wherein x is the statistical index value of the frequency response spectrum obtained by a certain measurement, S (x) is the area of the single-variable Gaussian distribution in the region P of x, P is the value set of all the statistical index values of the region P of x, S (y) is the value set of all the value regions Q of a certain statistical index value of the single-variable Gaussian distribution in the sweep range, Q is the value set of all the value values of a certain statistical index value, t is the integral variable of the Gaussian distribution function, sigma is the standard deviation, d is the minimum average distance of all the statistical index values in the region P, alpha is the correction factor, and the value is 0.674, z i 、z j Respectively the first of the statistical index functions in the region Pi and j value points.
In addition, the embodiment of the application also discloses a state discrimination device of the distribution transformer, which comprises the following steps:
a memory for storing a computer program;
and a processor for executing a computer program to implement the distribution transformer status discrimination method as described above.
In addition, the embodiment of the application also discloses a computer readable storage medium, wherein a computer program is stored on the computer readable storage medium, and the computer program realizes the distribution transformer state judging method when being executed by a processor.
Finally, it is further noted that relational terms such as first and second, and the like are used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Moreover, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative elements and steps are described above generally in terms of functionality in order to clearly illustrate the interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The foregoing has outlined rather broadly the more detailed description of the application in order that the detailed description of the application that follows may be better understood, and in order that the present principles and embodiments may be better understood; meanwhile, as those skilled in the art will have variations in the specific embodiments and application scope in accordance with the ideas of the present application, the present description should not be construed as limiting the present application in view of the above.