CN115684857A - Extra-high voltage transformer insulation performance evaluation method and device and computer equipment - Google Patents
Extra-high voltage transformer insulation performance evaluation method and device and computer equipment Download PDFInfo
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Abstract
The invention belongs to the technical field of power systems, and discloses an extra-high voltage transformer insulation performance evaluation method, an extra-high voltage transformer insulation performance evaluation device and computer equipment, wherein the method comprises the following steps: obtaining an oil paper insulation water content evaluation result, an oil paper insulation local moisture condition evaluation result and an oil paper insulation aging degree evaluation result by using a frequency domain dielectric spectrum; obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer are easy to gather; obtaining an insulation performance evaluation result under local moisture according to the evaluation result of the oil paper insulation local moisture condition and the area where the water of the ultra-high voltage transformer is easy to gather; and obtaining an overall insulation performance evaluation result according to the pre-obtained medium parameters and the oil paper insulation aging degree evaluation result, and generating a comprehensive insulation performance early warning evaluation result. The diagnosis timeliness and accuracy of the latent defects and faults of the oil paper system of the ultra-high voltage transformer are improved, and therefore technical support is provided for the application of state evaluation and diagnosis of the ultra-high voltage transformer.
Description
Technical Field
The invention relates to the technical field of power systems, in particular to an extra-high voltage transformer insulation performance evaluation method and device and computer equipment.
Background
The reliability of the safe operation of the power grid is inseparable from the safety operation density of various power transmission and transformation equipment forming the main body of the power grid, and the safe and reliable operation of the extra-high voltage transformer serving as a key core device in extra-high voltage engineering is an important guarantee for the current energy supply and configuration in China.
The life of an ultra-high voltage transformer depends to a large extent on the state of its oil-paper insulation system. The deterioration and local moisture of the oil paper insulating material can cause moisture increase, the service life and the failure rate of the ultra-high voltage transformer are seriously influenced, and the risk of micro-bubble generation caused by moisture vaporization at high temperature and the reduction of the medium strength of insulating oil and paper is mainly reflected. However, in the existing method for evaluating the insulation performance of the extra-high voltage transformer, because the influence of moisture migration and insulation material aging caused by temperature is not fully considered, an erroneous judgment result may be caused based on the traditional test measurement project and the measurement data of the moisture content in oil. In addition, macroscopic parameters such as the dielectric loss factor of the transformer have higher sensitivity on the detection of the insulation condition of the whole transformer, such as insulation moisture and the like, but the sensitivity on the local moisture is not enough, and factors such as external temperature, humidity change, residual charge effect and the like can greatly influence a test result, so that the difficulty is brought to the judgment of the insulation characteristic of the transformer.
Therefore, the existing method for evaluating the insulation performance of the ultra-high voltage transformer can only judge by means of threshold analysis of conventional detection data, and can not perform correlation analysis on all detection data, so that the fault diagnosis of the oil paper system of the ultra-high voltage transformer is not timely, and the diagnosis accuracy is poor.
Disclosure of Invention
The embodiment of the invention provides an extra-high voltage transformer insulation performance evaluation method, an extra-high voltage transformer insulation performance evaluation device and computer equipment, which are used for improving timeliness and accuracy of diagnosis of latent defects and faults of an extra-high voltage transformer oilpaper system and providing technical support for application of state evaluation and diagnosis of an extra-high voltage transformer. The following presents a simplified summary in order to provide a basic understanding of some aspects of the disclosed embodiments. This summary is not an extensive overview and is intended to neither identify key/critical elements nor delineate the scope of such embodiments. Its sole purpose is to present some concepts in a simplified form as a prelude to the more detailed description that is presented later.
According to the first aspect of the embodiment of the invention, an extra-high voltage transformer insulation performance evaluation method is provided.
In some embodiments, the method comprises:
obtaining an oil paper insulation water content evaluation result, an oil paper insulation local moisture condition evaluation result and an oil paper insulation aging degree evaluation result by using a frequency domain dielectric spectrum;
inputting the estimation result of the insulation water content of the oil paper, the current oil temperature and the current pressure into a pre-established oil paper insulation bubble generation prediction model to obtain a first prediction result;
obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer are easy to gather;
obtaining an insulation performance evaluation result under local moisture according to the evaluation result of the oil paper insulation local moisture condition and the area where the water of the ultra-high voltage transformer is easy to gather;
obtaining an integral insulation performance evaluation result according to a medium parameter obtained in advance and the oil paper insulation aging degree evaluation result;
and generating a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under local moisture and the overall insulation performance evaluation result.
In some embodiments, the obtaining of the estimation result of the moisture content of the oiled paper insulation by using the frequency domain dielectric spectrum specifically comprises:
and evaluating the oil paper insulation water content, the local damping condition and the overall aging degree of the ultra-high voltage transformer by using the frequency domain dielectric spectrum, and evaluating the oil paper insulation water content by using the oil temperature, the pressure and the oil paper insulation water content to obtain an oil paper insulation water content evaluation result.
In some embodiments, obtaining an overall insulation performance evaluation result according to a pre-obtained medium parameter and the oil paper insulation aging degree evaluation result specifically includes:
according to the combined Chang Quan factor, performing factor weighting on the frequency domain dielectric spectrum evaluation, the bubble surface discharge risk evaluation and the insulation performance evaluation after the damp;
establishing a calculation model of the missing index weight factor and the variable weight factor, and correcting the combined Chang Quan factor under the condition that the index is missing or the index is seriously deviated from a normal value to obtain an evaluation result of the comprehensive weight factor;
and carrying out overall insulation performance evaluation by combining the pre-obtained medium parameters to obtain an overall insulation performance evaluation result.
In some embodiments, the combined Chang Quan factor is obtained by:
forming a subjective initial Chang Quan factor by collecting an evaluation result given by an expert according to experience of the expert;
forming an objective initial Chang Quan factor by analyzing the incidence relation between the sample case and the key parameters;
based on the subjective initial Chang Quan factor and the objective initial weight factor, an optimal combination model is obtained through sample training to obtain a combination Chang Quan factor.
In some embodiments, the media parameters include at least:
dielectric loss measurement and conversion results, insulation resistance, dissolved gas in oil, water content in oil, gas content, transformer operation state and oil paper insulation aging degree.
In some embodiments, obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer easily gather includes:
determining a set threshold value of the oil-paper insulation bubble generation condition of the transformer based on the bubble generation condition under different operation conditions and an oil-paper insulation bubble generation prediction model;
and extracting and analyzing the trend of the insulation monitoring amount of the transformer according to the initial and development characteristics and the characterization parameters of the oil paper insulation creeping discharge under the obtained microbubble condition and the dynamic change characteristics of the monitoring data of the operation and discharge characteristics of the transformer under different operation conditions to obtain an oil paper insulation creeping discharge risk evaluation result.
In some embodiments, the trend extraction and analysis of the transformer insulation monitoring amount are performed according to the obtained oil paper insulation surface discharge initiation and development characteristics and characterization parameters under the microbubble condition and by combining the dynamic change characteristics of the transformer operation and discharge characteristic monitoring data under different operation conditions, and then the method further comprises the following steps:
and performing fusion processing and creeping discharge risk grade judgment on the key indexes of the oil paper insulation dynamic evaluation based on the operation state characterization index weight factor assignment method.
In some embodiments, the fusion processing and the creeping discharge risk level determination are performed on the key indicators for the oiled paper insulation dynamic evaluation, and then the method further comprises the following steps:
aiming at the problems of uncertainty of the change of monitoring parameters of the oil paper insulating microbubble generation condition of the transformer and ambiguity between state grades;
and establishing an ultra-high voltage transformer oil paper insulation microbubble creeping discharge risk assessment model based on a processing method of a Gaussian cloud method.
In some embodiments, establishing an ultra-high voltage transformer oil paper insulation microbubble-induced creeping discharge risk assessment model specifically includes:
and according to the operation condition data, the moisture content, the oil chromatography data, the partial discharge data and the characterization index weight factor of the transformer in the input parameters, the evaluation model outputs the creepage risk level caused by the micro bubbles insulated by the oil paper.
In some embodiments, the obtaining of the insulation performance evaluation result under the local damp according to the evaluation result of the local damp condition of the oiled paper insulation and the area where the water of the ultra-high voltage transformer is easy to gather specifically includes:
acquiring a region where water is easy to gather of the ultra-high voltage transformer;
judging the risk of inducing discharge initiation and development of water in the migration and accumulation processes by combining the electric field distribution and the moisture degree of each part;
extracting characterization parameters as input parameters aiming at local discharge and dissolved gas data in oil, constructing a data set and establishing an artificial intelligence prediction model based on a support vector machine and a BP neural network theory;
and calculating risk parameters based on the artificial intelligence prediction model, and obtaining the insulation performance evaluation result under the local damp according to the risk parameters.
In some embodiments, acquiring a moisture accumulation prone region of an ultra-high voltage transformer specifically includes:
and analyzing the influence of the temperature and the electric field distribution on the moisture migration characteristic according to the pre-created electric field distribution and temperature distribution parameter model and the input parameters, and calculating the moisture migration path and the position where moisture accumulation is easy to occur.
In some embodiments, the pre-creating the electric field distribution and temperature distribution parametric model specifically includes:
based on a typical insulation structure and operation parameters of a transformer entity, an electric field distribution and temperature distribution parameter model is established in a mode of combining finite element simulation and numerical theoretical analysis.
In some embodiments, the characterization parameters include at least discharge parameters, spectrum shape, phase distribution, spectrum statistical factors, discharge repetition rate, average discharge amount, discharge interval time, H2 characteristic gas proportion, and time-varying rules of each parameter.
In some embodiments, the risk parameters specifically include:
and outputting discharge risk, a damp type, a damp insulation model, a damp degree and a fault development stage.
According to a second aspect of the embodiment of the invention, an extra-high voltage transformer insulation performance evaluation device is provided.
In some embodiments, the apparatus comprises:
the evaluation unit is used for obtaining an oil paper insulation water content evaluation result, an oil paper insulation local moisture condition evaluation result and an oil paper insulation aging degree evaluation result by using the frequency domain dielectric spectrum;
the prediction unit is used for inputting the estimation result of the insulation water content of the oil paper, the current oil temperature and the current pressure into a pre-established oil paper insulation bubble generation prediction model so as to obtain a first prediction result;
the first result generation unit is used for obtaining an oil paper insulation creeping discharge risk evaluation result according to the first prediction result and the area where bubbles of the ultra-high voltage transformer are easy to gather;
the second result generation unit is used for obtaining an insulation performance evaluation result under local moisture according to the oil paper insulation local moisture condition evaluation result and the area where the water of the ultra-high voltage transformer is easy to gather;
the third result generation unit is used for obtaining an overall insulation performance evaluation result according to the pre-obtained medium parameters and the oil paper insulation aging degree evaluation result;
and the evaluation result generation unit is used for generating a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under the local damp and the overall insulation performance evaluation result.
According to a third aspect of embodiments of the present invention, there is provided a computer apparatus.
In some embodiments, the computer device comprises a memory storing a computer program and a processor implementing the steps of the above method when the processor executes the computer program.
The technical scheme provided by the embodiment of the invention has the following beneficial effects:
according to the method for evaluating the insulation performance of the extra-high voltage transformer, the evaluation result of the moisture content of the oil paper insulation, the evaluation result of the local moisture condition of the oil paper insulation and the evaluation result of the aging degree of the oil paper insulation are obtained by utilizing the frequency domain dielectric spectrum; inputting the estimation result of the insulation water content of the oil paper, the current oil temperature and the current pressure into a pre-established oil paper insulation bubble generation prediction model to obtain a first prediction result; obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer are easy to gather; obtaining an insulation performance evaluation result under local moisture according to the evaluation result of the partial moisture condition of the oiled paper insulation and the area where the water of the ultra-high voltage transformer is easy to gather; obtaining an integral insulation performance evaluation result according to a pre-obtained medium parameter and the oil paper insulation aging degree evaluation result; and generating a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under local moisture and the overall insulation performance evaluation result.
According to the method, during insulation performance evaluation, the influence of moisture migration and insulation material aging caused by temperature is fully considered, the consideration dimension of dielectric characteristics of transformer base materials and components on macroscopic parameters such as insulation resistance and dielectric loss factor is increased, correlation and deep analysis are carried out on all detection data, the accuracy of an evaluation result is improved, the timeliness and the accuracy of diagnosis of latent defects and faults of an ultra-high voltage transformer oilpaper system are improved, and therefore technical support is provided for application of state evaluation and diagnosis of the ultra-high voltage transformer.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the invention and together with the description, serve to explain the principles of the invention.
FIG. 1 is one of the flow charts illustrating a method for evaluating insulation performance of an extra-high voltage transformer according to an exemplary embodiment;
FIG. 2 is a second flowchart of a method for evaluating insulation performance of an extra-high voltage transformer according to an exemplary embodiment;
FIG. 3 is a third flowchart illustrating a method for evaluating insulation performance of an extra-high voltage transformer in accordance with an exemplary embodiment;
FIG. 4 is a fourth flowchart illustrating a method for evaluating insulation performance of an extra-high voltage transformer in accordance with an exemplary embodiment;
FIG. 5 is a fifth flowchart illustrating a method for evaluating insulation performance of an extra-high voltage transformer in accordance with an exemplary embodiment;
FIG. 6 is a schematic structural diagram of an insulation performance evaluation device for an extra-high voltage transformer according to an exemplary embodiment;
FIG. 7 is a schematic diagram illustrating a configuration of a computer device, according to an example embodiment.
Reference numerals:
601-evaluation unit, 602-prediction unit, 603-first result generation unit, 604-second result generation unit, 605-third result generation unit, 606-evaluation result generation unit.
Detailed Description
The following description and the drawings sufficiently illustrate specific embodiments herein to enable those skilled in the art to practice them. Portions and features of some embodiments may be included in or substituted for those of others. The scope of the embodiments herein includes the full ambit of the claims, as well as all available equivalents of the claims. The terms "first," "second," and the like, herein are used solely to distinguish one element from another without requiring or implying any actual such relationship or order between such elements. In practice, a first element can also be referred to as a second element, and vice versa. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a structure, apparatus, or device that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such structure, apparatus, or device. Without further limitation, an element defined by the phrase "comprising a … …" does not exclude the presence of another like element in a structure, device, or apparatus that comprises the element. The embodiments are described in a progressive manner, each embodiment focuses on differences from other embodiments, and the same and similar parts among the embodiments are referred to each other.
The terms "longitudinal," "lateral," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," and the like herein, as used herein, are defined as orientations or positional relationships based on the orientation or positional relationship shown in the drawings, and are used for convenience in describing and simplifying the description, but do not indicate or imply that the device or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus should not be construed as limiting the present invention. In the description herein, unless otherwise specified and limited, the terms "mounted," "connected," and "connected" are to be construed broadly, and may include, for example, mechanical or electrical connections, communications between two elements, direct connections, and indirect connections via intermediary media, where the specific meaning of the terms is understood by those skilled in the art as appropriate.
Herein, the term "plurality" means two or more, unless otherwise specified.
Herein, the character "/" indicates that the preceding and following objects are in an "or" relationship. For example, A/B represents: a or B.
Herein, the term "and/or" is an associative relationship describing objects, meaning that three relationships may exist. For example, a and/or B, represents: a or B, or A and B.
The embodiments and features of the embodiments of the present invention may be combined with each other without conflict.
Referring to fig. 1, fig. 1 is a flowchart illustrating an insulation performance evaluation method for an extra-high voltage transformer according to an exemplary embodiment.
In a specific embodiment, the method for evaluating the insulation performance of the extra-high voltage transformer provided by the invention comprises the following steps:
s110: and obtaining an oil paper insulation water content evaluation result, an oil paper insulation local moisture condition evaluation result and an oil paper insulation aging degree evaluation result by using the frequency domain dielectric spectrum. Specifically, the method comprises the steps of evaluating the oil paper insulation water content, the local moisture condition and the overall aging degree of the ultra-high voltage transformer by using a frequency domain dielectric spectrum, and evaluating the oil paper insulation water content by using the oil temperature, the pressure and the oil paper insulation water content to obtain an oil paper insulation water content evaluation result.
S120: inputting the estimation result of the insulation water content of the oil paper, the current oil temperature and the current pressure into a pre-established oil paper insulation bubble generation prediction model to obtain a first prediction result;
s130: obtaining an oil paper insulation creeping discharge risk evaluation result according to the first prediction result and the area where bubbles of the ultra-high voltage transformer easily gather;
s140: obtaining an insulation performance evaluation result under local moisture according to the evaluation result of the oil paper insulation local moisture condition and the area where the water of the ultra-high voltage transformer is easy to gather;
s150: obtaining an integral insulation performance evaluation result according to a medium parameter obtained in advance and the oil paper insulation aging degree evaluation result;
s160: and generating a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under local moisture and the overall insulation performance evaluation result.
In step S150, as shown in fig. 2, obtaining an overall insulation performance evaluation result according to a pre-obtained medium parameter and the oil paper insulation aging degree evaluation result, specifically including the following steps:
s210: according to the combined Chang Quan factor, performing factor weighting on the frequency domain dielectric spectrum evaluation, the bubble surface discharge risk evaluation and the insulation performance evaluation after the damp; when the Chang Quan combination factor is obtained, a subjective initial Chang Quan factor is formed by collecting an evaluation result given by an expert according to experience of the expert, and an objective initial Chang Quan factor is formed by analyzing the incidence relation between a sample case and a key parameter; based on the subjective initial Chang Quan factor and the objective initial weight factor, an optimal combination model is obtained through sample training to obtain a combination Chang Quan factor. The medium parameters at least comprise medium loss measurement and conversion results, insulation resistance, dissolved gas in oil, water content in oil, gas content, transformer running state and oil paper insulation aging degree.
S220: establishing a calculation model of the missing index weight factor and the variable weight factor, and correcting the combined Chang Quan factor under the condition that the index is missing or the index is seriously deviated from a normal value to obtain an evaluation result of the comprehensive weight factor;
s230: and carrying out overall insulation performance evaluation by combining the pre-obtained medium parameters to obtain an overall insulation performance evaluation result.
In a specific use scene, an evaluation index system needs to be established first. Specifically, for the structure and the operation characteristics of the ultra-high voltage transformers of different types, the basic indexes are determined through statistical analysis: the method comprises the following steps of detecting oil temperature, oil pressure and frequency domain dielectric spectrums at different positions, monitoring on-line partial discharge, detecting charged partial discharge, analyzing water in oil, detecting dielectric loss, detecting insulation resistance, analyzing on-line oil chromatography, analyzing off-line oil chromatography, analyzing gas content in oil, analyzing voltage, current, analyzing infrared temperature and other data results, establishing an ultra-high voltage transformer operation state data storage library, and performing classified storage analysis on various data results. Aiming at the characteristics of a single transformer, key indexes are extracted by applying association rules and principal component analysis, and finally missing indexes are supplemented according to mechanism analysis, so that the construction of a differentiation index system is completed.
As shown in fig. 3 and 4, the method for comprehensively evaluating the oil paper insulation performance of the ultra-high voltage transformer and outputting the result specifically comprises the following steps:
1) Firstly, the frequency domain dielectric spectrum is utilized to evaluate the oil paper insulation water content, the local moisture condition and the overall aging degree of the extra-high voltage transformer, and the oil temperature, the pressure and the oil paper insulation water content are utilized to evaluate the result.
2) Subjective initial Chang Quan factors are formed by collecting evaluation results given by experts according to experiences of the experts, objective initial Chang Quan factors are formed by analyzing incidence relations between cases and key parameters, and then after the subjective and objective initial weight factors are obtained at the same time, an optimal combination model is obtained through sample training, and combination Chang Quan factors are obtained. And dividing the attribution degree of each characteristic parameter exceeding the threshold value by using a membership degree DS method. And performing factor weighting on the frequency domain dielectric spectrum evaluation, the bubble surface discharge risk evaluation and the insulation performance evaluation after the damp.
3) And establishing a calculation model of the missing index weight factors and the variable weight factors, and correcting the combined Chang Quan factors under the condition that the indexes are missing or the indexes are seriously deviated from normal values to obtain an assignment result of the comprehensive weight factors.
4) And (4) evaluating the overall insulation performance by combining the measurement and conversion results of dielectric loss, insulation resistance, dissolved gas in oil, water content in oil, gas content, running state of the transformer, oil paper insulation aging degree and the like. And outputting the overall evaluation result of the extra-high voltage transformer.
In some embodiments, obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer easily gather includes:
determining a set threshold value of the oil-paper insulation bubble generation condition of the transformer based on the bubble generation condition under different operation conditions and an oil-paper insulation bubble generation prediction model;
extracting and analyzing the trend of the insulation monitoring quantity of the transformer according to the initial and development characteristics and characterization parameters of the oil-paper insulation creeping discharge under the obtained microbubble condition and the dynamic change characteristics of the monitoring data of the operation and discharge characteristics of the transformer under different operation working conditions;
performing fusion processing and creeping discharge risk grade judgment on the key indexes of the oil paper insulation dynamic evaluation based on an operation state characterization index weight factor assignment method;
aiming at the problems of uncertainty of the change of monitoring parameters of the oil paper insulating microbubble generation condition of the transformer and ambiguity between state grades;
establishing an extra-high voltage transformer oil paper insulation microbubble creeping discharge risk assessment model based on a processing method of a Gaussian cloud method; according to the operation condition data, the moisture content, the oil chromatogram data, the partial discharge data and the characterization index weight factor of the transformer in the input parameters, the evaluation model outputs the creepage risk level caused by the oil paper insulation micro bubbles so as to obtain an oil paper insulation creepage risk evaluation result.
In a specific use scenario, when evaluating the risk of creeping discharge of the oil-paper insulated microbubbles, the method may include the following steps:
1) And determining a set threshold value of the oil-paper insulation bubble generation condition of the transformer based on the bubble generation condition under different operation conditions and the oil-paper insulation bubble generation prediction model.
2) And according to the initial and development characteristics and the characterization parameters of the oil-paper insulation creeping discharge under the obtained microbubble condition, considering the dynamic change characteristics of the monitoring data of the operation and discharge characteristics of the transformer under different operation conditions, and performing the trend extraction and analysis of the insulation monitoring quantity of the transformer.
3) And performing fusion processing and creeping discharge risk grade judgment on the key indexes of the oil paper insulation dynamic evaluation based on the operation state characterization index weight factor assignment method. Aiming at the problems of uncertainty of monitoring parameter changes of transformer oil paper insulation micro-bubble generation conditions, ambiguity among state grades and the like, a Gaussian cloud method-based processing method is used for establishing an extra-high voltage transformer oil paper insulation micro-bubble induced creeping discharge risk assessment model.
4) And evaluating the level of the creeping discharge risk caused by the oil paper insulating micro-bubbles output by the model according to the parameters such as the running condition data (load state and temperature rise curve) of the transformer, the moisture content, the oil chromatographic data, the partial discharge data, the characterization index weight factor and the like in the input parameters.
In some embodiments, the obtaining of the insulation performance evaluation result under the local damp according to the evaluation result of the local damp condition of the oiled paper insulation and the area where the water of the ultra-high voltage transformer is easy to gather specifically includes:
acquiring a region where water is easy to gather of the ultra-high voltage transformer; specifically, according to a pre-created electric field distribution and temperature distribution parameter model and input parameters, the influence of the temperature and the electric field distribution on the moisture migration characteristic is analyzed, and the moisture migration path and the position where moisture accumulation is likely to occur are calculated.
Judging the risk of inducing discharge initiation and development of water in the migration and accumulation processes by combining the electric field distribution and the moisture degree of each part;
extracting characterization parameters as input parameters aiming at local discharge and dissolved gas data in oil, constructing a data set and establishing an artificial intelligence prediction model based on a support vector machine and a BP neural network theory; the characteristic parameters at least comprise discharge parameters, spectrogram shapes, phase distribution, spectrogram statistical factors, discharge repetition rate, average discharge capacity, discharge interval time, H2 and other characteristic gas proportions and time-varying rules of the parameters.
And calculating risk parameters based on the artificial intelligence prediction model, and obtaining the insulation performance evaluation result under the local damp according to the risk parameters. The risk parameters at least comprise output discharge risk, moisture type, moisture insulation model, moisture degree and fault development stage.
The method specifically comprises the following steps of creating an electric field distribution and temperature distribution parameter model in advance:
based on a typical insulation structure and operation parameters of a transformer entity, an electric field distribution and temperature distribution parameter model is established in a mode of combining finite element simulation and numerical theoretical analysis.
In a specific use scenario, as shown in fig. 5, when the insulation performance of the oiled paper insulation is evaluated after being wetted, the method comprises the following steps:
1) Based on a typical insulation structure and operation parameters of a transformer entity, an electric field distribution and temperature distribution parameter model is established in a mode of combining finite element simulation and numerical theory analysis.
2) According to the input parameters, the influence of the temperature and the electric field distribution on the moisture migration characteristics is analyzed, and the moisture migration path and the position where moisture accumulation is easy to occur are calculated.
3) And (4) judging the risks of the initiation and development of the induced discharge of the moisture in the migration and accumulation processes by combining the electric field distribution and the moisture degree of each part.
4) Aiming at local discharge and dissolved gas data in oil, extracting corresponding characterization parameters such as spectrogram shape, phase distribution, spectrogram statistical factors, discharge repetition rate, average discharge capacity, discharge interval time, H2 and other characteristic gas proportion, time-varying rules of all parameters and the like as input parameters, constructing a data set and establishing an artificial intelligent prediction model based on a Support Vector Machine (SVM) and a BP neural network theory.
5) And calculating and outputting the discharge risk, the moisture type (wholly affected/partially affected), the moisture insulation model (inter-turn/along surface/oil barrier), the moisture degree (slightly affected/moderately affected/severely affected) and the fault development stage (initial period/development period/damage period), giving out whether the equipment is wholly affected or partially affected, and serving as an intermediate variable for further analyzing the moisture degree and the fault development stage.
In the above specific embodiment, the method for evaluating the insulation performance of the ultra-high voltage transformer provided by the invention obtains the evaluation result of the moisture content of the oil paper insulation, the evaluation result of the local moisture condition of the oil paper insulation and the evaluation result of the aging degree of the oil paper insulation by using the frequency domain dielectric spectrum; inputting the estimation result of the insulation water content of the oil paper, the current oil temperature and the current pressure into a pre-established oil paper insulation bubble generation prediction model to obtain a first prediction result; obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer are easy to gather; obtaining an insulation performance evaluation result under local moisture according to the evaluation result of the oil paper insulation local moisture condition and the area where the water of the ultra-high voltage transformer is easy to gather; obtaining an integral insulation performance evaluation result according to a pre-obtained medium parameter and the oil paper insulation aging degree evaluation result; and generating a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under local moisture and the overall insulation performance evaluation result.
According to the method, during insulation performance evaluation, the influence of moisture migration and insulation material aging caused by temperature is fully considered, the consideration dimension of dielectric characteristics of transformer base materials and components on macroscopic parameters such as insulation resistance and dielectric loss factor is increased, correlation and deep analysis are carried out on all detection data, the accuracy of an evaluation result is improved, the timeliness and the accuracy of diagnosis of latent defects and faults of an ultra-high voltage transformer oilpaper system are improved, and therefore technical support is provided for application of state evaluation and diagnosis of the ultra-high voltage transformer.
According to a second aspect of the embodiment of the present invention, as shown in fig. 6, an apparatus for evaluating insulation performance of an ultra-high voltage transformer provided by the present invention includes:
the evaluation unit 601 is used for obtaining an oil paper insulation water content evaluation result, an oil paper insulation local moisture condition evaluation result and an oil paper insulation aging degree evaluation result by using a frequency domain dielectric spectrum;
the prediction unit 602 is configured to input the estimation result of the insulation moisture content of the oil paper, the current oil temperature, and the current pressure into a pre-created oil paper insulation bubble generation prediction model to obtain a first prediction result;
a first result generating unit 603, configured to obtain an oil-paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer are prone to gather;
a second result generating unit 604, configured to obtain an insulation performance evaluation result under a local damp condition according to the oil paper insulation local damp condition evaluation result and the area where the water of the ultra-high voltage transformer is likely to gather;
a third result generating unit 605, configured to obtain an overall insulation performance evaluation result according to a pre-obtained medium parameter and the oil paper insulation aging degree evaluation result;
and the evaluation result generating unit 606 is configured to generate a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under the local damp condition, and the overall insulation performance evaluation result.
In some embodiments, the estimation result of the water content of the oiled paper insulation is obtained by using the frequency domain dielectric spectrum, which specifically includes:
and evaluating the oil paper insulation water content, the local damping condition and the overall aging degree of the ultra-high voltage transformer by using the frequency domain dielectric spectrum, and evaluating the oil paper insulation water content by using the oil temperature, the pressure and the oil paper insulation water content to obtain an oil paper insulation water content evaluation result.
In some embodiments, obtaining an overall insulation performance evaluation result according to a pre-obtained medium parameter and the oil paper insulation aging degree evaluation result specifically includes:
according to the combined Chang Quan factor, performing factor weighting on the frequency domain dielectric spectrum evaluation, the bubble surface discharge risk evaluation and the insulation performance evaluation after the damp;
establishing a calculation model of the missing index weight factor and the variable weight factor, and correcting the combined Chang Quan factor under the condition that the index is missing or the index is seriously deviated from a normal value to obtain an evaluation result of the comprehensive weight factor;
and carrying out overall insulation performance evaluation by combining the pre-obtained medium parameters to obtain an overall insulation performance evaluation result.
In some embodiments, the combined Chang Quan factor is obtained by:
forming a subjective initial Chang Quan factor by collecting an evaluation result given by an expert according to experience of the expert;
forming an objective initial Chang Quan factor by analyzing the incidence relation between the sample case and the key parameters;
based on the subjective initial Chang Quan factor and the objective initial weight factor, an optimal combination model is obtained through sample training to obtain a combination Chang Quan factor.
In some embodiments, the media parameters include at least:
dielectric loss measurement and conversion results, insulation resistance, dissolved gas in oil, water content in oil, gas content, transformer operation state and oil paper insulation aging degree.
In some embodiments, obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer easily gather includes:
determining a set threshold value of the oil-paper insulation bubble generation condition of the transformer based on the bubble generation condition under different operation conditions and an oil-paper insulation bubble generation prediction model;
and extracting and analyzing the trend of the insulation monitoring amount of the transformer according to the initial and development characteristics and the characterization parameters of the oil paper insulation creeping discharge under the obtained microbubble condition and the dynamic change characteristics of the monitoring data of the operation and discharge characteristics of the transformer under different operation conditions to obtain an oil paper insulation creeping discharge risk evaluation result.
In some embodiments, the trend extraction and analysis of the transformer insulation monitoring amount are performed according to the obtained oil paper insulation surface discharge initiation and development characteristics and characterization parameters under the microbubble condition and by combining the dynamic change characteristics of the transformer operation and discharge characteristic monitoring data under different operation conditions, and then the method further comprises the following steps:
and performing fusion processing and creeping discharge risk grade judgment on the key indexes of the oil paper insulation dynamic evaluation based on the operation state characterization index weight factor assignment method.
In some embodiments, the fusion processing and the creeping discharge risk level determination are performed on the key indexes of the oiled paper insulation dynamic evaluation, and then the method further comprises the following steps:
aiming at the problems of uncertainty of the change of monitoring parameters of the oil paper insulating microbubble generation condition of the transformer and ambiguity between state grades;
and establishing an ultra-high voltage transformer oil paper insulation microbubble creeping discharge risk assessment model based on a processing method of a Gaussian cloud method.
In some embodiments, establishing an extra-high voltage transformer oil paper insulation microbubble induced creeping discharge risk assessment model specifically includes:
and according to the operation condition data, the moisture content, the oil chromatography data, the partial discharge data and the characterization index weight factor of the transformer in the input parameters, the evaluation model outputs the creepage risk level caused by the micro bubbles insulated by the oil paper.
In some embodiments, the obtaining of the insulation performance evaluation result under the local damp according to the evaluation result of the local damp condition of the oiled paper insulation and the area where the water of the ultra-high voltage transformer is easy to gather specifically includes:
acquiring a region where water is easy to gather of the ultra-high voltage transformer;
the risk of inducing discharge initiation and development in the migration and accumulation process of the moisture is judged by combining the electric field distribution and the wetting degree of each part;
extracting characterization parameters as input parameters aiming at local discharge and dissolved gas data in oil, constructing a data set and establishing an artificial intelligence prediction model based on a support vector machine and a BP neural network theory;
and calculating risk parameters based on the artificial intelligence prediction model, and obtaining the insulation performance evaluation result under the local damp according to the risk parameters.
In some embodiments, acquiring a moisture accumulation prone region of an ultra-high voltage transformer specifically includes:
and analyzing the influence of the temperature and the electric field distribution on the moisture migration characteristic according to the pre-created electric field distribution and temperature distribution parameter model and the input parameters, and calculating the moisture migration path and the position where moisture accumulation is easy to occur.
In some embodiments, the pre-creating the electric field distribution and temperature distribution parametric model specifically includes:
based on a typical insulation structure and operation parameters of a transformer entity, an electric field distribution and temperature distribution parameter model is established in a mode of combining finite element simulation and numerical theoretical analysis.
In some embodiments, the characterization parameters include at least discharge parameters, spectrum shape, phase distribution, spectrum statistical factors, discharge repetition rate, average discharge amount, discharge interval time, H2 characteristic gas proportion, and time-varying rules of each parameter.
In some embodiments, the risk parameters specifically include:
and outputting discharge risk, a damp type, a damp insulation model, a damp degree and a fault development stage.
In the above specific embodiment, the insulation performance evaluation device of the ultra-high voltage transformer provided by the invention obtains the evaluation result of the moisture content of the oil paper insulation, the evaluation result of the local moisture condition of the oil paper insulation and the evaluation result of the aging degree of the oil paper insulation by using the frequency domain dielectric spectrum; inputting the estimation result of the insulation water content of the oil paper, the current oil temperature and the current pressure into a pre-established oil paper insulation bubble generation prediction model to obtain a first prediction result; obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer are easy to gather; obtaining an insulation performance evaluation result under local moisture according to the evaluation result of the oil paper insulation local moisture condition and the area where the water of the ultra-high voltage transformer is easy to gather; obtaining an integral insulation performance evaluation result according to a pre-obtained medium parameter and the oil paper insulation aging degree evaluation result; and generating a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under local damping and the overall insulation performance evaluation result.
According to the method, during insulation performance evaluation, the influence of moisture migration and insulation material aging caused by temperature is fully considered, the consideration dimension of dielectric characteristics of transformer base materials and components on macroscopic parameters such as insulation resistance and dielectric loss factor is increased, correlation and deep analysis are carried out on all detection data, the accuracy of an evaluation result is improved, the timeliness and the accuracy of diagnosis of latent defects and faults of an ultra-high voltage transformer oilpaper system are improved, and therefore technical support is provided for application of state evaluation and diagnosis of the ultra-high voltage transformer.
In one embodiment, a computer device is provided, which may be a server, the internal structure of which may be as shown in fig. 7. The computer device includes a processor, a memory, and a network interface connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile storage medium and an internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operating system and the computer program to run on the non-volatile storage medium. The database of the computer device is used for storing static information and dynamic information data. The network interface of the computer device is used for communicating with an external terminal through a network connection. Which computer program is executed by a processor to carry out the steps in the above-described method embodiments.
Those skilled in the art will appreciate that the architecture shown in fig. 7 is merely a block diagram of some of the structures associated with the inventive arrangements and is not intended to limit the computing devices to which the inventive arrangements may be applied, as a particular computing device may include more or less components than those shown, or may combine certain components, or have a different arrangement of components.
In an embodiment, there is also provided a computer device comprising a memory and a processor, the memory having stored therein a computer program, the processor implementing the steps of the above method embodiments when executing the computer program.
In an embodiment, a computer-readable storage medium is provided, on which a computer program is stored which, when being executed by a processor, carries out the steps of the above-mentioned method embodiments.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by hardware instructions of a computer program, which can be stored in a non-volatile computer-readable storage medium, and when executed, can include the processes of the embodiments of the methods described above. Any reference to memory, storage, database or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. Non-volatile memory may include Read-only memory (ROM), magnetic tape, floppy disk, flash memory, optical storage, or the like. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM can take many forms, such as Static Random Access Memory (SRAM) or Dynamic Random Access Memory (DRAM), among others.
The present invention is not limited to the structures that have been described above and shown in the drawings, and various modifications and changes can be made without departing from the scope thereof. The scope of the invention is limited only by the appended claims.
Claims (16)
1. An extra-high voltage transformer insulation performance evaluation method is characterized by comprising the following steps:
obtaining an oil paper insulation water content evaluation result, an oil paper insulation local moisture condition evaluation result and an oil paper insulation aging degree evaluation result by using a frequency domain dielectric spectrum;
inputting the estimation result of the insulation water content of the oil paper, the current oil temperature and the current pressure into a pre-established oil paper insulation bubble generation prediction model to obtain a first prediction result;
obtaining an oil paper insulation creeping discharge risk assessment result according to the first prediction result and the area where the bubbles of the ultra-high voltage transformer are easy to gather;
obtaining an insulation performance evaluation result under local moisture according to the evaluation result of the partial moisture condition of the oiled paper insulation and the area where the water of the ultra-high voltage transformer is easy to gather;
obtaining an integral insulation performance evaluation result according to a medium parameter obtained in advance and the oil paper insulation aging degree evaluation result;
and generating a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under local moisture and the overall insulation performance evaluation result.
2. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 1, wherein the evaluation result of the moisture content of the oiled paper insulation is obtained by using a frequency domain dielectric spectrum, and the method specifically comprises the following steps:
and evaluating the oil paper insulation water content, the local damp condition and the overall aging degree of the ultra-high voltage transformer by using the frequency domain dielectric spectrum, and evaluating the oil paper insulation water content by using the oil temperature, the pressure and the oil paper insulation water content to obtain an oil paper insulation water content evaluation result.
3. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 2, wherein an overall insulation performance evaluation result is obtained according to pre-obtained medium parameters and the oil paper insulation aging degree evaluation result, and specifically comprises the following steps:
according to the combined Chang Quan factor, performing factor weighting on the frequency domain dielectric spectrum evaluation, the bubble surface discharge risk evaluation and the insulation performance evaluation after the damp;
establishing a calculation model of the missing index weight factors and the variable weight factors, and correcting the combined Chang Quan factors under the condition that the indexes are missing or the indexes are seriously deviated from normal values to obtain an assignment result of the comprehensive weight factors;
and carrying out overall insulation performance evaluation by combining the pre-obtained medium parameters to obtain an overall insulation performance evaluation result.
4. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 1, wherein the Chang Quan factor is obtained by the following steps:
forming a subjective initial Chang Quan factor by collecting an evaluation result given by an expert according to experience of the expert;
forming an objective initial Chang Quan factor by analyzing the incidence relation between the sample case and the key parameters;
based on the subjective initial Chang Quan factor and the objective initial weight factor, an optimal combination model is obtained through sample training to obtain a combination Chang Quan factor.
5. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 1, wherein the medium parameters at least comprise:
dielectric loss measurement and conversion results, insulation resistance, dissolved gas in oil, water content in oil, gas content, transformer operation state and oil paper insulation aging degree.
6. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 1, wherein the evaluation result of the risk of discharge along the surface of the oiled paper insulation is obtained according to the first prediction result and the area where bubbles of the extra-high voltage transformer are easy to gather, and specifically comprises the following steps:
determining a set threshold value of the oil-paper insulation bubble generation condition of the transformer based on the bubble generation condition under different operation conditions and an oil-paper insulation bubble generation prediction model;
and extracting and analyzing the trend of the insulation monitoring amount of the transformer according to the initial and development characteristics and the characterization parameters of the oil paper insulation creeping discharge under the obtained microbubble condition and the dynamic change characteristics of the monitoring data of the operation and discharge characteristics of the transformer under different operation conditions to obtain an oil paper insulation creeping discharge risk evaluation result.
7. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 6, wherein the trend extraction and analysis of the transformer insulation monitoring amount are performed according to the obtained starting and development characteristics and characterization parameters of the oil-paper insulation creeping discharge under the microbubble condition and the dynamic change characteristics of the transformer operation and discharge characteristic monitoring data under different operation conditions, and then the method further comprises the following steps:
and performing fusion processing and creeping discharge risk grade judgment on the key indexes of the oil paper insulation dynamic evaluation based on the operation state characterization index weight factor assignment method.
8. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 7, wherein key indexes of dynamic evaluation of the oil-paper insulation are subjected to fusion processing and judgment of the creeping discharge risk level, and then the method further comprises the following steps:
aiming at the problems of uncertainty of the monitoring parameter change of the oil paper insulating microbubble generation condition of the transformer and ambiguity between state grades;
and establishing an ultra-high voltage transformer oil paper insulation microbubble creeping discharge risk assessment model based on a processing method of a Gaussian cloud method.
9. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 8, wherein the establishing of the extra-high voltage transformer oil paper insulation microbubble creeping discharge risk evaluation model specifically comprises the following steps:
and according to the operation condition data, the moisture content, the oil chromatography data, the partial discharge data and the characterization index weight factor of the transformer in the input parameters, the evaluation model outputs the creepage risk level caused by the micro bubbles insulated by the oil paper.
10. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 1, wherein the evaluation result of the insulation performance under the condition of local moisture of the oiled paper insulation is obtained according to the evaluation result of the local moisture-affected condition of the oiled paper insulation and the area where water of the extra-high voltage transformer is easy to gather, and the method specifically comprises the following steps:
acquiring a region where water is easy to gather of the ultra-high voltage transformer;
judging the risk of inducing discharge initiation and development of water in the migration and accumulation processes by combining the electric field distribution and the moisture degree of each part;
extracting characterization parameters as input parameters aiming at local discharge and dissolved gas data in oil, constructing a data set and establishing an artificial intelligence prediction model based on a support vector machine and a BP neural network theory;
and calculating risk parameters based on the artificial intelligence prediction model, and obtaining the insulation performance evaluation result under the local damp according to the risk parameters.
11. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 10, wherein the step of obtaining the area where moisture is easy to gather of the extra-high voltage transformer specifically comprises the following steps:
and analyzing the influence of the temperature and the electric field distribution on the moisture migration characteristic according to the pre-created electric field distribution and temperature distribution parameter model and the input parameters, and calculating the moisture migration path and the position where moisture accumulation is easy to occur.
12. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 11, wherein a parameter model of electric field distribution and temperature distribution is created in advance, and the method specifically comprises the following steps:
based on a typical insulation structure and operation parameters of a transformer entity, an electric field distribution and temperature distribution parameter model is established in a mode of combining finite element simulation and numerical theoretical analysis.
13. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 6, wherein the characteristic parameters at least comprise discharge parameters, a spectrogram shape, a phase distribution, a spectrogram statistical factor, a discharge repetition rate, an average discharge capacity, a discharge interval time, characteristic gas proportions such as H2 and time-varying rules of all the parameters.
14. The method for evaluating the insulation performance of the extra-high voltage transformer according to claim 10, wherein the risk parameters at least comprise:
output discharge risk, moisture type, moisture insulation model, moisture degree and fault development stage.
15. An extra-high voltage transformer insulation performance evaluation device, characterized in that the device includes:
the evaluation unit is used for obtaining an oil paper insulation water content evaluation result, an oil paper insulation local moisture condition evaluation result and an oil paper insulation aging degree evaluation result by using the frequency domain dielectric spectrum;
the prediction unit is used for inputting the estimation result of the insulation water content of the oil paper, the current oil temperature and the current pressure into a pre-established oil paper insulation bubble generation prediction model so as to obtain a first prediction result;
the first result generation unit is used for obtaining an oil paper insulation creeping discharge risk evaluation result according to the first prediction result and the area where bubbles of the ultra-high voltage transformer are easy to gather;
the second result generation unit is used for obtaining an insulation performance evaluation result under local moisture according to the oil paper insulation local moisture condition evaluation result and the area where the water of the ultra-high voltage transformer is easy to gather;
the third result generation unit is used for obtaining an overall insulation performance evaluation result according to the pre-obtained medium parameters and the oil paper insulation aging degree evaluation result;
and the evaluation result generation unit is used for generating a comprehensive insulation performance early warning evaluation result according to the oil paper insulation creeping discharge risk evaluation result, the insulation performance evaluation result under the local damp and the overall insulation performance evaluation result.
16. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor, when executing the computer program, implements the steps of the method of any of claims 1 to 14.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN115774173A (en) * | 2023-02-13 | 2023-03-10 | 广东电网有限责任公司佛山供电局 | Dry-type transformer insulation performance evaluation device and method |
| CN117250456A (en) * | 2023-11-20 | 2023-12-19 | 山东海鲲数控设备有限公司 | Transformer insulation state monitoring system |
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Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115774173A (en) * | 2023-02-13 | 2023-03-10 | 广东电网有限责任公司佛山供电局 | Dry-type transformer insulation performance evaluation device and method |
| CN117250456A (en) * | 2023-11-20 | 2023-12-19 | 山东海鲲数控设备有限公司 | Transformer insulation state monitoring system |
| CN117250456B (en) * | 2023-11-20 | 2024-01-30 | 山东海鲲数控设备有限公司 | Transformer insulation state monitoring system |
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