CN116499531A - Power equipment state evaluation method and device, electronic equipment and storage medium - Google Patents
Power equipment state evaluation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The invention belongs to the technical field of power equipment state evaluation, and particularly discloses a power equipment state evaluation method, a device, electronic equipment and a storage medium.
Description
Technical Field
The invention belongs to the technical field of power equipment state evaluation, in particular to a power transformer heat dissipation state evaluation technology, and particularly relates to a power equipment state evaluation method, a device, electronic equipment and a storage medium.
Background
The power transformer is one of the most critical electrical equipment in the power system, the safety and reliability of operation of the power transformer are directly related to the safety and stability of the power system, and the performance affecting the safety and reliability of operation of the power transformer comprises electric performance, heat dissipation performance and the like. The heat dissipation performance has a critical influence on the operation reliability and service life of the transformer and can react to the electric performance, because the transformer is a device for realizing electric energy conversion through electric field induction, converts high-voltage input electric energy into low-voltage output electric energy, and converts most of energy in the input electric energy into heat energy, and the working mode ensures that the transformer can generate a large amount of heat in the operation process, and once the heat dissipation is insufficient, the efficiency of the transformer is reduced and electrical faults are easily caused.
At present, a heat dissipation mode of oil-immersed cooling is generally used for a power transformer, and in order to find out insufficient heat dissipation of the power transformer in time, a means for evaluating the heat dissipation state of the power transformer is necessary.
However, in the prior art, when the heat dissipation state of the power transformer is evaluated, the oil temperature in the oil tank of the power transformer is basically used as an evaluation index, and uniform and fixed comparison reference is adopted, so that the correlation between the oil temperature and the load loss of the power transformer is not considered, the pertinence of an evaluation reference object of the heat dissipation state is lacking, the science and the rationality of an evaluation mode are reduced, invalid evaluation is easily caused, and the reliability of an evaluation result is affected to a certain extent.
In addition, the monitoring of the operation coordination state of the heat dissipation component is generally ignored in the prior art when the heat dissipation state of the power transformer is evaluated, the heat dissipation performance of the power transformer is realized by the coordination operation of a plurality of heat dissipation components, such as oil liquid and heat dissipation fins, the operation coordination effect of the heat dissipation component can directly influence the heat dissipation state of the power transformer, but the operation coordination effect of the heat dissipation component can be poor along with the increase of the operation age of the power transformer and the influence of external environment, so that the ideal heat dissipation state cannot be exerted, and therefore, the monitoring of the operation coordination state of the heat dissipation component is ignored in the prior art, the evaluation mode is easily biased to be ideal, the occurrence rate of evaluation errors is increased in a non-practical way, and the accurate evaluation of the heat dissipation state of the power transformer is not facilitated.
Disclosure of Invention
Therefore, an object of the embodiments of the present application is to provide a method, an apparatus, an electronic device, and a storage medium for evaluating a state of a power device, which can effectively improve accuracy and reliability of evaluating a heat dissipation state of a power transformer by performing targeted setting of a heat dissipation state evaluation reference object and monitoring of an operation coordination state of a heat dissipation component on the power transformer.
The aim of the invention can be achieved by the following technical scheme: a first aspect of the present invention provides a power equipment state evaluation method, including the steps of: (1) And setting power detection terminals at the output ends of the power transformers respectively, setting an evaluation period by the power detection terminals, and further monitoring power indexes of the current evaluation period according to preset time intervals to obtain power indexes of the power transformers at all monitoring moments, wherein the power indexes comprise output voltage and output current.
(2) The load loss of the power transformer at each monitoring instant is calculated based on the power indication of the power transformer at each monitoring instant.
(3) An oil monitoring device is arranged in an oil tank of the power transformer, and effective oil parameters are collected at each monitoring moment, wherein the effective oil parameters comprise effective oil temperature, effective oil height and effective oil viscosity.
(4) And comparing the load loss of the power transformer at each monitoring moment with the effective oil temperature, and analyzing the heat dissipation effect coefficient of the power transformer.
(5) And identifying the abnormal monitoring moment based on the heat dissipation effect coefficient of the power transformer.
(6) And acquiring three-dimensional appearance images of the radiator of the power transformer at different monitoring moments.
(7) And analyzing the three-dimensional appearance image, the effective oil height and the effective oil viscosity of the radiator of the power transformer at each abnormal monitoring moment, and predicting the running mismatch degree of the radiating component of the power transformer at each abnormal monitoring moment.
(8) And evaluating the heat radiation state of the power transformer in the current evaluation period by combining the operation mismatch degree of the heat radiation components of the power transformer at various abnormal monitoring moments to reach a scale.
According to one possible implementation manner of the first aspect of the present invention, the load loss of the power transformer at each monitoring time is calculated as follows: (21) And obtaining the load power of the power transformer at each monitoring moment according to the power indication of the power transformer at each monitoring moment.
(22) And obtaining the specification and model of the power transformer, and obtaining the rated load corresponding to the power transformer and the load loss under the rated load.
(23) Comparing the load power of the power transformer at each monitoring moment with the rated load corresponding to the power transformer, and passing through the expression according to the comparison resultCalculating the load loss of the power transformer at each monitoring moment>Wherein t is denoted as monitoring time number, +.>Z is expressed as the number of monitoring instants, +. >Load power, expressed as power transformer at time t monitoring,/for the power transformer>Represented as power transformer correspondenceRated load of->Denoted as load loss of the power transformer under rated load, U1 denoted as overload state, U2 denoted as overload state, U3 denoted as underload state,>、/>the load loss correction factors are respectively indicated as load loss correction factors corresponding to the overload state and the underload state of the pre-configured power transformer.
According to one possible manner of the first aspect of the present invention, the collection of the effective oil parameters is as follows: (31) A plurality of oil monitoring devices are uniformly arranged along the periphery of an oil tank of the power transformer, and the distance between the arrangement position of each oil monitoring device and the transformer main body is obtained and recorded as。
(32) And collecting the oil temperature, the oil height and the oil viscosity of the set position by using the oil monitoring equipment at each monitoring moment.
(33) Combining the oil temperature of the set position of each oil monitoring device in each monitoring momentCounting the effective oil temperature corresponding to each monitoring moment>Wherein->The oil temperature is expressed as the oil temperature of the position where the ith oil monitoring equipment is positioned in the t monitoring moment, i is expressed as the number of the oil monitoring equipment, and the number is +. >N represents the setting of oil monitoring equipmentNumber of parts.
(34) And respectively carrying out average value processing on the oil height and the oil viscosity of the set position of each oil monitoring device in each monitoring moment to obtain the effective oil height and the effective oil viscosity corresponding to each monitoring moment.
According to one implementation manner of the first aspect of the present invention, the analyzing the heat dissipation efficiency coefficient of the power transformer includes the following steps: (41) And (3) taking the monitoring moment as an abscissa, respectively taking the load loss and the effective oil temperature as an ordinate to construct a two-dimensional coordinate system, and marking a plurality of points in the constructed two-dimensional coordinate system aiming at the load loss and the effective oil temperature of the power transformer at each monitoring moment to form a load loss change curve and an oil temperature change curve.
(42) And comparing the load loss change curves with the oil temperature change curves one by one according to the monitoring moments to obtain the load loss-oil temperature change curve spacing corresponding to each monitoring moment.
(43) Comparing the distances between the load loss and oil temperature change curves corresponding to the monitoring moments, and calculating the linear correlation of the load loss and oil temperature change curves corresponding to the power transformer Wherein->、/>Respectively expressed as maximum distance and minimum distance in the distance of the load loss-oil temperature change curve corresponding to each monitoring moment +.>The distance between load loss and oil temperature change curves corresponding to the t-th monitoring moment is shown, and e is shown as a natural constant.
(44) And matching the linear correlation degree of the load loss-oil temperature change curve corresponding to the power transformer with the heat dissipation effect coefficient corresponding to the preset linear correlation degree of the load loss-oil temperature change curve of various power transformers, thereby obtaining the heat dissipation effect coefficient of the power transformer through matching.
According to one possible implementation manner of the first aspect of the present invention, the identifying process of the anomaly monitoring time is as follows: (51) And obtaining an ideal heat dissipation effect coefficient of the power transformer based on the specification and model of the power transformer.
(52) And comparing the heat dissipation effect coefficient of the power transformer with the ideal heat dissipation effect coefficient, and if the heat dissipation effect coefficient of the power transformer is smaller than the ideal heat dissipation effect coefficient, extracting the linear relevance of the load loss-oil temperature change curve corresponding to the ideal heat dissipation effect coefficient from the operation information base based on the ideal heat dissipation effect coefficient of the power transformer, and recording the linear relevance as the ideal linear relevance.
(53) And (3) introducing the load loss change curve and the ideal linear correlation into a curve generation model to obtain an oil temperature change curve under the ideal linear correlation, and recording the oil temperature change curve as an ideal oil temperature change curve.
(54) And (3) overlapping and comparing the oil temperature change curve with the ideal oil temperature change curve according to the monitoring time, and if the oil temperature displayed in the oil temperature change curve at a certain monitoring time is higher than the oil temperature displayed in the ideal oil temperature change curve, recording the monitoring time as an abnormal monitoring time.
According to one implementation manner of the first aspect of the present invention, the estimating the operational mismatch degree of the heat dissipation assembly of the power transformer at each abnormal monitoring time refers to the following steps: (71) And extracting the distance between adjacent cooling fins and the dust accumulation thickness of the adjacent cooling fins from the three-dimensional appearance image of the radiator of the power transformer at each abnormal monitoring moment.
(72) The distance between adjacent cooling fins of the power transformer at various abnormal monitoring moments is led into a formulaCalculating the deformation degree of the radiating fin of the power transformer at various abnormal monitoring moments>Wherein f is denoted by the number of abnormality monitoring time, < >>，/>The distance between the j+1th radiating fin and the j radiating fin in the power transformer radiator corresponding to the f abnormal monitoring moment is shown, j is shown as a radiating fin number, and +. >M is expressed as the number of fins present in the power transformer radiator, +.>Expressed as the standard adjacent fin spacing for the power transformer radiator.
(73) The dust accumulation thickness of adjacent radiating fins of the power transformer at various abnormal monitoring moments is led into a formulaCalculating the cooling fin blockage degree of the power transformer at various abnormal monitoring moments>，Dust accumulation thickness of j+1th and j-th radiating fins in power transformer radiator corresponding to f-th abnormality monitoring time +.>Denoted as reference dust accumulation thickness.
(74) Comparing the oil height and the oil viscosity of the power transformer at each abnormal monitoring moment with the oil height and the oil viscosity of the power transformer in an ideal heat dissipation state, and calculating the oil state deviation degree of the power transformer at each abnormal monitoring momentWherein->、/>Respectively expressed as oil height, oil viscosity and +.>、/>Respectively expressed as oil height, oil viscosity and/or +/of the power transformer in ideal heat dissipation state>、/>Respectively expressed as the set oil height and the corresponding duty factor of the oil viscosity.
(75) Will be、/>And->Importation of the formula- >Obtaining the operation mismatch degree of the radiating component of the power transformer at various abnormal monitoring moments>。
According to one implementation manner of the first aspect of the present invention, the heat dissipation state of the power transformer reaches the standard, and the following evaluation steps are referred to: (81) Based on the change of ideal oil temperature at different monitoring momentsCurve extraction power transformer ideal oil temperature at various abnormal monitoring timeAnd combine it->Using the formula->Predicting normal oil temperature of power transformer at various abnormal monitoring moments>。
(82) The effective oil temperature of the power transformer at various abnormal monitoring moments is compared with the normal oil temperature byEvaluation results in the heat dissipation state of the power transformer in the current evaluation cycle reaching the scale +.>，/>The effective oil temperature of the power transformer at the f abnormal monitoring moment is shown.
A second aspect of the present invention proposes a power equipment status evaluation device, comprising the following modules: the power indication monitoring module is used for setting an evaluation period, and further monitoring the power indicator of the power transformer according to a preset time interval in the current evaluation period to obtain the power indication of the power transformer at each monitoring moment.
And the load loss calculation module is used for calculating the load loss of the power transformer at each monitoring moment based on the power indication of the power transformer at each monitoring moment.
And the effective oil parameter acquisition module is used for acquiring effective oil parameters of the oil tank of the voltage transformer at each monitoring moment.
And the heat radiation effect analysis module is used for analyzing the heat radiation effect coefficient of the power transformer according to the load loss and the effective oil temperature of the power transformer at each monitoring moment.
And the abnormality monitoring time identification module is used for identifying the abnormality monitoring time based on the heat dissipation effect coefficient of the power transformer.
The operation information base is used for storing rated loads corresponding to various specifications and models of power transformers, load loss under the rated loads and ideal heat dissipation effect coefficients, and storing linear relevancy of load loss-oil temperature change curves corresponding to various heat dissipation effect coefficients.
The heat dissipation assembly operation mismatch estimation module is used for acquiring three-dimensional appearance images of the heat dissipater corresponding to the power transformer at each abnormal monitoring moment and estimating the operation mismatch degree of the heat dissipation assembly of the power transformer at each abnormal monitoring moment in combination with the effective oil height and the effective oil viscosity at the abnormal monitoring moment.
And the heat dissipation state reaching scale evaluation module is used for evaluating the heat dissipation state reaching scale of the power transformer in the current evaluation period by combining the operation mismatch degree of the heat dissipation components of the power transformer at various abnormal monitoring moments.
A third aspect of the invention proposes an electronic device comprising a processor, a memory and a communication bus, the memory having stored thereon a computer readable program executable by the processor.
The communication bus enables connection communication between the processor and the memory.
The processor, when executing the computer readable program, implements the steps in a power device state assessment method according to the present invention.
A fourth aspect of the present invention proposes a storage medium storing one or more programs executable by one or more processors to implement a power device state evaluation method of the present invention.
By combining all the technical schemes, the invention has the advantages and positive effects that: 1. according to the invention, the correlation between the oil temperature and the load loss of the power transformer is fully considered when the heat dissipation state of the power transformer is evaluated, and the load loss calculation is carried out on the power transformer to be used as an evaluation reference object, so that the targeted evaluation of the heat dissipation state is realized, the science and the rationality of an evaluation mode are obviously improved, the incidence rate of invalid evaluation is greatly reduced, and the effective guarantee is provided for the reliability of an evaluation result.
2. According to the invention, the heat dissipation state of the power transformer is evaluated by combining the monitoring of the operation coordination state of the heat dissipation assembly, so that the evaluation mode is more practical, the occurrence rate of evaluation errors is reduced intangibly, and the accuracy of the evaluation of the heat dissipation state of the power transformer is improved.
3. According to the invention, a dynamic process analysis mode is adopted for load loss analysis of the power transformer, abnormal monitoring time can be identified at fixed points by combining the association analysis of load loss and oil temperature, and then the heat dissipation assembly operation coordination state monitoring is carried out at the abnormal monitoring time, so that the heat dissipation assembly operation coordination state monitoring is more targeted, invalid monitoring is avoided to a great extent, and therefore, targeted evaluation of the heat dissipation state of the power transformer is realized, and the evaluation efficiency is higher.
Drawings
The invention will be further described with reference to the accompanying drawings, in which embodiments do not constitute any limitation of the invention, and other drawings can be obtained by one of ordinary skill in the art without inventive effort from the following drawings.
FIG. 1 is a flow chart of the steps of the method of the present invention.
Fig. 2 is a schematic diagram of a connection of a power device state evaluation apparatus module according to the present invention.
FIG. 3 is a graph showing the distance between load loss and oil temperature change curves in the invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Example 1: referring to fig. 1, the invention provides a power equipment state evaluation method, which comprises the following steps: (1) And setting power detection terminals at the output ends of the power transformers respectively, setting an evaluation period by the power detection terminals, and further monitoring power indexes of the current evaluation period according to preset time intervals to obtain power indexes of the power transformers at all monitoring moments, wherein the power indexes comprise output voltage and output current.
As one example of the present invention, the power detection terminal includes a current sensor and a voltage sensor.
(2) The load loss of the power transformer at each monitoring moment is calculated based on the power indication of the power transformer at each monitoring moment, and the specific calculation process is as follows: (21) Obtaining the load power of the power transformer at each monitoring moment according to the power indication of the power transformer at each monitoring moment, wherein 。
(22) And obtaining the specification and model of the power transformer, and obtaining the rated load corresponding to the power transformer and the load loss under the rated load.
Based on the scheme, the specific obtaining mode of the rated load corresponding to the power transformer and the load loss under the rated load is that the specification model of the power transformer is matched with the rated load corresponding to the power transformers with various specification models stored in an operation information base and the load loss under the rated load, so that the power transformer is obtained.
(23) Comparing the load power of the power transformer at each monitoring moment with the rated load corresponding to the power transformer, and passing through the expression according to the comparison resultCalculating the load loss of the power transformer at each monitoring moment>Wherein t is denoted as monitoring time number, +.>Z is expressed as the number of monitoring instants, +.>Load power, expressed as power transformer at time t monitoring,/for the power transformer>Expressed as the corresponding rated load of the power transformer, < >>Denoted as load loss of the power transformer under rated load, U1 denoted as overload state, U2 denoted as overload state, U3 denoted as underload state,>、/>the load loss correction factors are respectively indicated as load loss correction factors corresponding to the overload state and the underload state of the pre-configured power transformer.
In particular, the load state analysis mode of the power transformer at each monitoring time is as follows: the load power of the power transformer at each monitoring moment is calculated by the formulaCalculating the load difference degree of the power transformer at each monitoring momentAnd will->Comparing with the preset normal load difference interval, if ∈>Is greater than positiveThe upper limit value in the constant load difference interval represents that the load state of the power transformer at the monitoring time is an overload state, if +.>If the load state of the power transformer at the monitoring time is less than the lower limit value in the normal load difference section, the load state is an underload state, if +.>And in the normal load difference interval, the load state of the power transformer at the monitoring moment is represented as an overload state.
(3) An oil monitoring device is arranged in an oil tank of the power transformer, and effective oil parameters are collected at each monitoring moment, wherein the effective oil parameters comprise effective oil temperature, effective oil height and effective oil viscosity.
Preferably, the oil monitoring device comprises a thermometer, a liquid level meter and a viscosity detector.
In a further technical scheme, the effective oil parameters are collected in the following modes: (31) A plurality of oil monitoring devices are uniformly arranged along the periphery of an oil tank of the power transformer, and the distance between the arrangement position of each oil monitoring device and the transformer main body is obtained and recorded as 。
It should be noted that, because the common heat dissipation mode of the power transformer is oil-immersed cooling, namely through immersing the transformer main body in the oil, when the power transformer operates, the oil is used as a heat dissipation medium, the heat generated in the transformer can be effectively absorbed and transferred to the radiator, the heat absorbed by the oil after the heat is transferred is reduced, and the oil is in a lower temperature, so that the heat dissipation purpose is realized, the oil temperature of the visible oil tank can effectively reflect the operating temperature of the transformer main body in a heat dissipation state, and in view of the effect of the transfer medium of the oil, the oil monitoring device is more truly and reliably reflected on the operating temperature of the transformer main body in the heat dissipation state when the oil monitoring device is located closer to the transformer main body.
(32) And collecting the oil temperature, the oil height and the oil viscosity of the set position by using the oil monitoring equipment at each monitoring moment.
It is to be understood that the purpose of collecting the oil height and the oil viscosity is that the oil height and the oil viscosity can affect the heat transfer effect of the oil, and the lower the oil height is, the smaller the loading volume of the oil in the oil tank is, the smaller the contact transfer area between the oil in the oil tank and the radiator is, the heat transfer effect can be weakened to a certain extent, and the higher the oil viscosity is, the weaker the fluidity of the oil is, so that the heat transfer effect is weakened.
(33) Combining the oil temperature of the set position of each oil monitoring device in each monitoring momentCounting the effective oil temperature corresponding to each monitoring moment>Wherein->The oil temperature is expressed as the oil temperature of the position where the ith oil monitoring equipment is positioned in the t monitoring moment, i is expressed as the number of the oil monitoring equipment, and the number is +.>N represents the number of oil monitoring equipment settings.
(34) And respectively carrying out average value processing on the oil height and the oil viscosity of the set position of each oil monitoring device in each monitoring moment to obtain the effective oil height and the effective oil viscosity corresponding to each monitoring moment.
The invention effectively collects oil parameters by arranging a plurality of oil monitoring devices on the power transformer, and aims to solve the problems that for a voltage transformer, particularly a large-sized power transformer, the volume of an oil tank is generally larger, the oil parameters of each area in the oil tank cannot be completely consistent, if only a single oil monitoring device is arranged in the oil tank, the oil parameters of the position where the oil monitoring device is located can only be collected, the oil parameters of the whole oil tank cannot be reflected, the collection error is easy to occur due to accident, the true objective accuracy of the collection result is influenced, and further reliable data support is difficult to provide for analysis of the heat dissipation effect of the power transformer.
(4) Comparing the load loss of the power transformer at each monitoring moment with the effective oil temperature, and analyzing the heat dissipation effect coefficient of the power transformer, wherein the specific analysis process comprises the following steps: (41) And (3) taking the monitoring moment as an abscissa, respectively taking the load loss and the effective oil temperature as an ordinate to construct a two-dimensional coordinate system, and marking a plurality of points in the constructed two-dimensional coordinate system aiming at the load loss and the effective oil temperature of the power transformer at each monitoring moment to form a load loss change curve and an oil temperature change curve.
(42) And comparing the load loss change curve and the oil temperature change curve one by one according to the monitoring moments to obtain the load loss-oil temperature change curve spacing corresponding to each monitoring moment, as shown in figure 3.
(43) Comparing the distances between the load loss and oil temperature change curves corresponding to the monitoring moments, and calculating the linear correlation of the load loss and oil temperature change curves corresponding to the power transformerWherein->、/>Respectively expressed as maximum distance and minimum distance in the distance of the load loss-oil temperature change curve corresponding to each monitoring moment +.>The distance between load loss and oil temperature change curves corresponding to the t-th monitoring moment is expressed as a natural constant, and e is expressed as a natural constant, wherein the load loss and the oil temperature change curve are expressed as The closer the maximum distance and the minimum distance in the temperature change curve distances, the more parallel the load loss change curve and the oil temperature change curve are, and the greater the linear correlation degree of the load loss-oil temperature change curve is.
It should be understood that the reason why the linear correlation degree analysis of the load loss-oil temperature change curve is performed is to consider that the main source of heat generated by the operation of the power transformer is load loss, the larger the load loss is, the larger the heat generated by the operation of the power transformer is, and the position and the size of the radiator cannot change in the whole operation process, in this case, the heat emitted by the default radiator under different load losses cannot change greatly, so that the operation temperature (i.e. the oil temperature) of the transformer main body in a heat emission state is increased along with the increase of the load loss, and obvious linear correlation exists between the load loss and the oil temperature.
(44) And matching the linear correlation degree of the load loss-oil temperature change curve corresponding to the power transformer with the heat dissipation effect coefficient corresponding to the preset linear correlation degree of the load loss-oil temperature change curve of various power transformers, thereby obtaining the heat dissipation effect coefficient of the power transformer through matching.
According to the invention, the correlation between the oil temperature and the load loss of the power transformer is fully considered when the heat dissipation state of the power transformer is evaluated, and the load loss calculation is carried out on the power transformer to be used as an evaluation reference object, so that the targeted evaluation of the heat dissipation state is realized, the science and the rationality of an evaluation mode are obviously improved, the incidence rate of invalid evaluation is greatly reduced, and the effective guarantee is provided for the reliability of an evaluation result.
(5) The abnormal monitoring moment is identified based on the heat dissipation effect coefficient of the power transformer, and the specific identification process is as follows: (51) The ideal heat dissipation effect coefficient of the power transformer is obtained based on the specification model of the power transformer, and in a specific example, the ideal heat dissipation effect coefficient of the power transformer is obtained by matching the specification model of the power transformer with the ideal heat dissipation effect coefficients corresponding to the power transformers of various specification models stored in the operation information base.
(52) And comparing the heat dissipation effect coefficient of the power transformer with the ideal heat dissipation effect coefficient, and if the heat dissipation effect coefficient of the power transformer is smaller than the ideal heat dissipation effect coefficient, extracting the linear relevance of the load loss-oil temperature change curve corresponding to the ideal heat dissipation effect coefficient from the operation information base based on the ideal heat dissipation effect coefficient of the power transformer, and recording the linear relevance as the ideal linear relevance.
(53) And (3) introducing the load loss change curve and the ideal linear correlation into a curve generation model to obtain an oil temperature change curve under the ideal linear correlation, and recording the oil temperature change curve as an ideal oil temperature change curve.
(54) And (3) overlapping and comparing the oil temperature change curve with the ideal oil temperature change curve according to the monitoring time, and if the oil temperature displayed in the oil temperature change curve at a certain monitoring time is higher than the oil temperature displayed in the ideal oil temperature change curve, recording the monitoring time as an abnormal monitoring time.
According to the invention, a dynamic process analysis mode is adopted for load loss analysis of the power transformer, abnormal monitoring time can be identified at fixed points by combining the association analysis of load loss and oil temperature, and then the heat dissipation assembly operation coordination state monitoring is carried out at the abnormal monitoring time, so that the heat dissipation assembly operation coordination state monitoring is more targeted, invalid monitoring is avoided to a great extent, and therefore, targeted evaluation of the heat dissipation state of the power transformer is realized, and the evaluation efficiency is higher.
(6) And acquiring three-dimensional appearance images of the radiator of the power transformer at different monitoring moments.
(7) Analyzing a three-dimensional appearance image, an effective oil height and an effective oil viscosity of a radiator of the power transformer at each abnormal monitoring moment, and predicting the running mismatch degree of a radiating component of the power transformer at each abnormal monitoring moment, wherein the specific prediction process is as follows: (71) And extracting the distance between adjacent cooling fins and the dust accumulation thickness of the adjacent cooling fins from the three-dimensional appearance image of the radiator of the power transformer at each abnormal monitoring moment.
(72) The distance between adjacent cooling fins of the power transformer at various abnormal monitoring moments is led into a formulaCalculating the deformation degree of the radiating fin of the power transformer at various abnormal monitoring moments>Wherein f is denoted by the number of abnormality monitoring time, < >>，/>The distance between the j+1th radiating fin and the j radiating fin in the power transformer radiator corresponding to the f abnormal monitoring moment is shown, j is shown as a radiating fin number, and +.>M is expressed as the number of fins present in the power transformer radiator, +.>The specific acquisition mode is to match the specification type of the power transformer with the standard adjacent fin spacing corresponding to the power transformer in various specification types in the operation information base, so as to obtain the standard adjacent fin spacing corresponding to the power transformer radiator.
(73) The dust accumulation thickness of adjacent radiating fins of the power transformer at various abnormal monitoring moments is led into a formulaCalculating the blockage degree of the radiating fin of the power transformer at various abnormal monitoring moments，/>Dust accumulation thickness of j+1th and j-th radiating fins in power transformer radiator corresponding to f-th abnormality monitoring time +.>Denoted as reference dust accumulation thickness.
(74) Comparing the oil height and the oil viscosity of the power transformer at each abnormal monitoring moment with the oil height and the oil viscosity of the power transformer in an ideal heat dissipation state, and calculating the oil state deviation degree of the power transformer at each abnormal monitoring momentWherein->、/>Respectively expressed as oil height, oil viscosity and +.>、/>Respectively expressed as oil height, oil viscosity and/or +/of the power transformer in ideal heat dissipation state>、/>Respectively expressed as the set oil height and the corresponding duty factor of the oil viscosity.
The oil height and the oil viscosity of the power transformer in an ideal heat dissipation state are obtained by comparing the specification and the model of the power transformer with the oil height and the oil viscosity of the power transformer in the ideal heat dissipation state in various specification and model of the operation information base, wherein the oil height and the oil viscosity in the ideal heat dissipation state are generally the oil height and the oil viscosity of the power transformer when the power transformer is just put into use.
(75) Will be、/>And->Importation of the formula->Obtaining the operation mismatch degree of the radiating component of the power transformer at various abnormal monitoring moments >。
According to the invention, the monitoring of the operation coordination state of the heat dissipation component of the power transformer takes the fact that the oil in the oil tank volatilizes along with the increase of the operation life of the power transformer into consideration, so that the oil height is low, the viscosity of the oil is high, the oil state is deviated, the heat dissipation fins of the heat dissipation device are deformed and blocked by dust, the heat dissipation area of the heat dissipation device is reduced compared with that of the power transformer when the power transformer is just put into use, and the operation coordination effect of the heat dissipation component is deviated from an ideal state.
According to the invention, the heat dissipation state of the power transformer is evaluated by combining the monitoring of the operation coordination state of the heat dissipation assembly, so that the evaluation mode is more practical, the occurrence rate of evaluation errors is reduced intangibly, and the accuracy of the evaluation of the heat dissipation state of the power transformer is improved.
(8) And evaluating the heat radiation state of the power transformer in the current evaluation period to reach a scale by combining the operation mismatch degree of the heat radiation component of the power transformer at each abnormal monitoring moment, wherein the specific evaluation process is as follows: (81) Extracting ideal oil temperature of power transformer at various abnormal monitoring moments from ideal oil temperature change curve based on various abnormal monitoring momentsAnd combine it->Using the formula- >Predicting normal oil temperature of power transformer at various abnormal monitoring moments>。
(82) The effective oil temperature of the power transformer at various abnormal monitoring moments is compared with the normal oil temperature byEvaluation results in the heat dissipation state of the power transformer in the current evaluation cycle reaching the scale +.>，/>The effective oil temperature of the power transformer at the f abnormal monitoring moment is shown.
Example 2: referring to fig. 2, the present invention proposes a power equipment status evaluation device, including the following modules: the power indication monitoring module is used for setting an evaluation period, and further monitoring the power indicator of the power transformer according to a preset time interval in the current evaluation period to obtain the power indication of the power transformer at each monitoring moment.
The load loss calculation module is respectively connected with the power indication monitoring module and the operation information base and is used for calculating the load loss of the power transformer at each monitoring moment based on the power indication of the power transformer at each monitoring moment.
And the effective oil parameter acquisition module is used for acquiring effective oil parameters of the oil tank of the voltage transformer at each monitoring moment.
The operation information base is used for storing rated loads corresponding to the power transformers with various specifications and types, load loss and ideal heat dissipation effect coefficients under the rated loads, storing linear relevancy of load loss-oil temperature change curves corresponding to the heat dissipation effect coefficients, and storing the distances between standard adjacent cooling fins corresponding to the power transformers with various specifications and types, and oil height and oil viscosity under the ideal heat dissipation state.
And the heat dissipation effect analysis module is respectively connected with the load loss calculation module and the heat dissipation effect analysis module and is used for analyzing the heat dissipation effect coefficient of the power transformer according to the load loss and the effective oil temperature of the power transformer at each monitoring moment.
The abnormal monitoring moment identification module is respectively connected with the heat radiation effect analysis module and the operation information base and is used for identifying abnormal monitoring moment based on the heat radiation effect coefficient of the power transformer.
The heat dissipation assembly operation mismatch estimation module is respectively connected with the effective oil parameter acquisition module, the abnormal monitoring moment identification module and the operation information base and is used for acquiring three-dimensional appearance images of the heat dissipater corresponding to the power transformer at each abnormal monitoring moment and estimating the operation mismatch degree of the heat dissipation assembly of the power transformer at each abnormal monitoring moment in combination with the effective oil height and the effective oil viscosity at the abnormal monitoring moment.
And the heat radiation state standard evaluation module is connected with the heat radiation component operation mismatch estimation module and is used for evaluating the heat radiation state of the power transformer in the current evaluation period by combining the heat radiation component operation mismatch degree of the power transformer at various abnormal monitoring moments.
Example 3: the invention proposes an electronic device comprising a processor, a memory and a communication bus, the memory having stored thereon a computer readable program executable by the processor.
The communication bus enables connection communication between the processor and the memory.
The processor, when executing the computer readable program, implements the steps in a power device state assessment method according to the present invention.
Example 4: the present invention proposes a storage medium storing one or more programs executable by one or more processors to implement a power device state evaluation method according to the present invention.
The foregoing is merely illustrative of the structures of this invention and various modifications, additions and substitutions for those skilled in the art of describing particular embodiments without departing from the structures of the invention or exceeding the scope of the invention as defined by the claims.
Claims (10)
1. A method for evaluating a status of an electrical device, comprising the steps of:
(1) Setting power detection terminals at the output ends of the power transformers respectively, setting an evaluation period by the power detection terminals, and further monitoring power indexes of the current evaluation period according to preset time intervals to obtain power indications of the power transformers at all monitoring moments, wherein the power indications comprise output voltage and output current;
(2) Calculating the load loss of the power transformer at each monitoring moment based on the power indication of the power transformer at each monitoring moment;
(3) An oil monitoring device is arranged in an oil tank of the power transformer, and effective oil parameters are collected at each monitoring moment, wherein the effective oil parameters comprise effective oil temperature, effective oil height and effective oil viscosity;
(4) Comparing the load loss of the power transformer at each monitoring moment with the effective oil temperature, and analyzing the heat dissipation effect coefficient of the power transformer;
(5) Identifying abnormal monitoring time based on the heat dissipation effect coefficient of the power transformer;
(6) Collecting three-dimensional appearance images of a radiator of the power transformer at various abnormal monitoring moments;
(7) Analyzing three-dimensional appearance images, effective oil height and effective oil viscosity of the radiator of the power transformer at each abnormal monitoring moment, and predicting the running mismatch degree of the radiating component of the power transformer at each abnormal monitoring moment;
(8) And evaluating the heat radiation state of the power transformer in the current evaluation period by combining the operation mismatch degree of the heat radiation components of the power transformer at various abnormal monitoring moments to reach a scale.
2. The power equipment state evaluation method according to claim 1, wherein: the load loss of the power transformer at each monitoring time is calculated as follows:
(21) Obtaining the load power of the power transformer at each monitoring moment according to the power indication of the power transformer at each monitoring moment;
(22) Obtaining the specification and model of the power transformer, and obtaining the rated load corresponding to the power transformer and the load loss under the rated load;
(23) Comparing the load power of the power transformer at each monitoring moment with the rated load corresponding to the power transformer, and passing through the expression according to the comparison resultCalculating the load loss of the power transformer at each monitoring moment>Wherein t is denoted as monitoring time number, +.>Z is expressed as the number of monitoring instants, +.>Load power, expressed as power transformer at time t monitoring,/for the power transformer>Expressed as the corresponding rated load of the power transformer, < >>Expressed as load loss of the power transformer under rated load, U1 expressed as overload state, U2 expressed as overload state, U3 expressed asIs in underload state->、/>The load loss correction factors are respectively indicated as load loss correction factors corresponding to the overload state and the underload state of the pre-configured power transformer.
3. The power equipment state evaluation method according to claim 1, wherein: the collection of the effective oil parameters is realized in the following way:
(31) A plurality of oil monitoring devices are uniformly arranged along the periphery of an oil tank of the power transformer, and the distance between the arrangement position of each oil monitoring device and the transformer main body is obtained and recorded as；
(32) Collecting the oil temperature, the oil height and the oil viscosity of the set position by using the oil monitoring equipment at each monitoring moment;
(33) Combining the oil temperature of the set position of each oil monitoring device in each monitoring momentCounting the effective oil temperature corresponding to each monitoring moment>Wherein->The oil temperature is expressed as the oil temperature of the position where the ith oil monitoring equipment is positioned in the t monitoring moment, i is expressed as the number of the oil monitoring equipment, and the number is +.>N represents the set quantity of oil monitoring equipment;
(34) And respectively carrying out average value processing on the oil height and the oil viscosity of the set position of each oil monitoring device in each monitoring moment to obtain the effective oil height and the effective oil viscosity corresponding to each monitoring moment.
4. The power equipment state evaluation method according to claim 1, wherein: the analysis of the heat dissipation effect coefficient of the power transformer comprises the following steps:
(41) Taking the monitoring moment as an abscissa, respectively taking the load loss and the effective oil temperature as an ordinate to construct a two-dimensional coordinate system, and marking a plurality of points in the constructed two-dimensional coordinate system aiming at the load loss and the effective oil temperature of the power transformer at each monitoring moment to form a load loss change curve and an oil temperature change curve;
(42) Comparing the load loss change curves with the oil temperature change curves one by one according to the monitoring moments to obtain the load loss-oil temperature change curve spacing corresponding to each monitoring moment;
(43) Comparing the distances between the load loss and oil temperature change curves corresponding to the monitoring moments, and calculating the linear correlation of the load loss and oil temperature change curves corresponding to the power transformerWherein、/>Respectively expressed as maximum distance and minimum distance in the distance of the load loss-oil temperature change curve corresponding to each monitoring moment +.>The distance between load loss and oil temperature change curves corresponding to the t monitoring moment is expressed, and e is expressed as a natural constant;
(44) And matching the linear correlation degree of the load loss-oil temperature change curve corresponding to the power transformer with the heat dissipation effect coefficient corresponding to the preset linear correlation degree of the load loss-oil temperature change curve of various power transformers, thereby obtaining the heat dissipation effect coefficient of the power transformer through matching.
5. The power equipment state evaluation method according to claim 4, wherein: the identification process of the abnormality monitoring time is as follows:
(51) Acquiring an ideal heat dissipation effect coefficient of the power transformer based on the specification and model of the power transformer;
(52) Comparing the heat dissipation effect coefficient of the power transformer with the ideal heat dissipation effect coefficient, if the heat dissipation effect coefficient of the power transformer is smaller than the ideal heat dissipation effect coefficient, extracting the linear relevance of the load loss-oil temperature change curve corresponding to the ideal heat dissipation effect coefficient from the operation information base based on the ideal heat dissipation effect coefficient of the power transformer, and recording the linear relevance as the ideal linear relevance;
(53) Leading the load loss change curve and the ideal linear correlation into a curve generation model to obtain an oil temperature change curve under the ideal linear correlation, and recording the oil temperature change curve as an ideal oil temperature change curve;
(54) And (3) overlapping and comparing the oil temperature change curve with the ideal oil temperature change curve according to the monitoring time, and if the oil temperature displayed in the oil temperature change curve at a certain monitoring time is higher than the oil temperature displayed in the ideal oil temperature change curve, recording the monitoring time as an abnormal monitoring time.
6. The power equipment state evaluation method according to claim 5, wherein: the operation mismatch degree of the heat dissipation assembly of the power transformer at each abnormal monitoring moment is estimated by the following steps:
(71) Extracting the distance between adjacent cooling fins and the dust accumulation thickness of the adjacent cooling fins from the three-dimensional appearance image of the radiator of the power transformer at each abnormal monitoring moment;
(72) Transforming electric powerFormula for importing adjacent fin spacing of device at different monitoring momentsCalculating the deformation degree of the radiating fin of the power transformer at various abnormal monitoring moments>Wherein f is denoted by the number of abnormality monitoring time, < >>，/>The distance between the j+1th radiating fin and the j radiating fin in the power transformer radiator corresponding to the f abnormal monitoring moment is shown, j is shown as a radiating fin number, and +.>M is expressed as the number of fins present in the power transformer radiator, +.>Expressed as standard adjacent fin spacing for a power transformer radiator;
(73) The dust accumulation thickness of adjacent radiating fins of the power transformer at various abnormal monitoring moments is led into a formulaCalculating the cooling fin blockage degree of the power transformer at various abnormal monitoring moments>，Dust accumulation thickness of j+1th and j-th radiating fins in power transformer radiator corresponding to f-th abnormality monitoring time +.>Expressed as a reference dust accumulation thickness;
(74) Comparing the oil height and the oil viscosity of the power transformer at each abnormal monitoring moment with the oil height and the oil viscosity of the power transformer in an ideal heat dissipation state, and calculating the oil state deviation degree of the power transformer at each abnormal monitoring moment Wherein->、/>Respectively expressed as oil height, oil viscosity and +.>、/>Respectively expressed as oil height, oil viscosity and/or +/of the power transformer in ideal heat dissipation state>、/>The oil viscosity is respectively expressed as a duty factor corresponding to the set oil height and the oil viscosity;
(75) Will be、/>And->Importation of the formula->Obtaining the operation mismatch degree of the radiating component of the power transformer at various abnormal monitoring moments>。
7. The power equipment state evaluation method according to claim 6, wherein: the heat radiation state standard reaching degree of the power transformer is evaluated by the following steps:
(81) Extracting ideal oil temperature of power transformer at various abnormal monitoring moments from ideal oil temperature change curve based on various abnormal monitoring momentsAnd combine it->Using the formula->Predicting normal oil temperature of power transformer at various abnormal monitoring moments>；
(82) The effective oil temperature of the power transformer at various abnormal monitoring moments is compared with the normal oil temperature byEvaluation results in the heat dissipation state of the power transformer in the current evaluation cycle reaching the scale +.>，/>The effective oil temperature of the power transformer at the f abnormal monitoring moment is shown.
8. An electrical equipment state evaluation device, characterized in that: the method comprises the following modules:
the power indication monitoring module is used for setting an evaluation period, and further monitoring the power indicator of the power transformer according to a preset time interval in the current evaluation period to obtain power indications of the power transformer at all monitoring moments;
the load loss calculation module is used for calculating the load loss of the power transformer at each monitoring moment based on the power indication of the power transformer at each monitoring moment;
the effective oil parameter acquisition module is used for acquiring effective oil parameters of an oil tank of the voltage transformer at each monitoring moment;
the heat dissipation effect analysis module is used for analyzing the heat dissipation effect coefficient of the power transformer according to the load loss and the effective oil temperature of the power transformer at each monitoring moment;
the abnormal monitoring moment identification module is used for identifying abnormal monitoring moment based on the heat dissipation effect coefficient of the power transformer;
the operation information base is used for storing rated loads corresponding to various specifications and models of power transformers, load loss under the rated loads and ideal heat dissipation effect coefficients, and storing linear relevancy of load loss-oil temperature change curves corresponding to various heat dissipation effect coefficients;
The heat dissipation assembly operation mismatch estimation module is used for acquiring three-dimensional appearance images of the heat dissipater corresponding to the power transformer at each abnormal monitoring moment and estimating the operation mismatch degree of the heat dissipation assembly of the power transformer at each abnormal monitoring moment in combination with the effective oil height and the effective oil viscosity at the abnormal monitoring moment;
and the heat dissipation state reaching scale evaluation module is used for evaluating the heat dissipation state reaching scale of the power transformer in the current evaluation period by combining the operation mismatch degree of the heat dissipation components of the power transformer at various abnormal monitoring moments.
9. An electronic device, characterized in that: the apparatus includes a processor, a memory having stored thereon a computer readable program executable by the processor, and a communication bus;
the communication bus realizes the connection communication between the processor and the memory;
the processor, when executing the computer readable program, implements the steps of a method for evaluating the status of an electrical device according to any one of claims 1-7.
10. A storage medium, characterized by: the storage medium stores one or more programs executable by one or more processors to implement the steps in a power device state assessment method according to any one of claims 1-7.
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