CN117689372B - Running state analysis system and method suitable for transformer - Google Patents
Running state analysis system and method suitable for transformer Download PDFInfo
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- CN117689372B CN117689372B CN202410135205.4A CN202410135205A CN117689372B CN 117689372 B CN117689372 B CN 117689372B CN 202410135205 A CN202410135205 A CN 202410135205A CN 117689372 B CN117689372 B CN 117689372B
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- 238000004458 analytical method Methods 0.000 title claims abstract description 57
- 238000000034 method Methods 0.000 title claims abstract description 35
- 238000001816 cooling Methods 0.000 claims abstract description 97
- 230000004927 fusion Effects 0.000 claims abstract description 97
- 238000011156 evaluation Methods 0.000 claims abstract description 38
- 238000012545 processing Methods 0.000 claims abstract description 35
- 230000002159 abnormal effect Effects 0.000 claims abstract description 20
- 230000007613 environmental effect Effects 0.000 claims abstract description 15
- 238000012502 risk assessment Methods 0.000 claims description 46
- 238000012544 monitoring process Methods 0.000 claims description 24
- 230000000903 blocking effect Effects 0.000 claims description 22
- 206010061876 Obstruction Diseases 0.000 claims description 21
- 238000010606 normalization Methods 0.000 claims description 12
- 238000009423 ventilation Methods 0.000 claims description 12
- 238000005457 optimization Methods 0.000 claims description 9
- 239000012535 impurity Substances 0.000 claims description 4
- 238000005336 cracking Methods 0.000 claims description 3
- 230000003647 oxidation Effects 0.000 claims description 3
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- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 description 1
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Abstract
The invention relates to the technical field of transformer operation supervision, in particular to an operation state analysis system and method suitable for a transformer, wherein the operation state analysis system comprises a management and control platform, a data acquisition unit, an operation supervision unit, a cooling processing unit, an influence supervision unit, a fusion risk unit and an early warning management unit; according to the invention, on the premise of overheat operation of the transformer, the processing performance supervision feedback analysis is carried out on the cooling data, and the operation influence feedback evaluation operation is carried out on the influence data, so that whether the overheat operation of the transformer is caused by abnormal cooling of the transformer or abnormal oil quality and environmental factors in the transformer is judged, the influence of cooling equipment, oil quality and environmental factors on the operation of the transformer is further reduced, the cooling performance and operation safety of the cooling equipment of the transformer are ensured, and the risk fusion management evaluation analysis is carried out in an information feedback mode, so that whether the overheat operation of the transformer is caused by the factor linkage interference is judged, and the transformer is controlled reasonably and pertinently.
Description
Technical Field
The invention relates to the technical field of transformer operation supervision, in particular to an operation state analysis system and method suitable for a transformer.
Background
The transformer is a device for changing alternating voltage by utilizing the principle of electromagnetic induction, and mainly comprises a primary coil, a secondary coil and an iron core, and is commonly used as a lifting voltage, a matching impedance, a safety isolation and the like in electrical equipment and a wireless circuit; the transformer is basic equipment for power transmission and distribution, and is widely applied to the fields of industry, agriculture, traffic, urban communities and the like;
However, when the operation of the transformer is monitored, the internal data of the transformer is mainly detected through various sensors and fed back to a monitoring end, the transformer is difficult to monitor under overheat operation, and further the overheat operation of the transformer cannot be reasonably and pertinently managed, so that the operation safety of the transformer is reduced, and the factors causing overheat operation of the transformer cannot be examined, so that the management effect of the transformer is reduced;
In view of the above technical drawbacks, a solution is now proposed.
Disclosure of Invention
The invention aims to provide an operation state analysis system and method suitable for a transformer, which solve the technical defects, and the invention judges whether the transformer is overheated or not through operation state supervision feedback analysis on operation data of the transformer so as to facilitate timely early warning rationalization management, and on the premise of the overheated operation of the transformer, carries out processing performance supervision feedback analysis on cooling data and operation influence feedback evaluation operation on influence data so as to judge whether the overheat operation of the transformer is caused by abnormal cooling of the transformer or abnormal oil and environmental factors in the transformer so as to timely maintain and manage the transformer cooling equipment, and timely process the oil and the environmental factors in the transformer so as to reduce the influence of the oil and the environmental factors on the operation of the transformer and ensure the cooling performance and operation safety of the transformer cooling equipment.
The aim of the invention can be achieved by the following technical scheme: the running state analysis system suitable for the transformer comprises a management and control platform, a data acquisition unit, a running supervision unit, a cooling processing unit, an influence supervision unit, a fusion risk unit and an early warning management unit;
When the management and control platform generates a management and control instruction, the management and control instruction is sent to the data acquisition unit, after the data acquisition unit receives the management and control instruction, the data acquisition unit immediately acquires operation data of the transformer after receiving the management and control instruction, the operation data represent operation state values and are sent to the operation monitoring unit, and the operation monitoring unit immediately carries out operation state monitoring feedback analysis on the operation data after receiving the operation data and sends an obtained over-temperature operation signal to the cooling processing unit, the influence monitoring unit and the early warning management unit;
The cooling processing unit immediately collects cooling data of the transformer after receiving the over-temperature operation signal, wherein the cooling data comprises a cooling characteristic value and an operation safety value, processes performance supervision feedback analysis and deep comparison analysis on the cooling data, sends an obtained performance trend value to the fusion risk unit, and sends an obtained alarm signal to the early warning management unit through the operation supervision unit;
The method comprises the steps that when an over-temperature operation signal is received by an influence supervision unit, influence data of a transformer are immediately collected, the influence data comprise an oil quality risk value and an environment interference value, operation influence feedback evaluation operation is carried out on the influence data, and the obtained early warning signal is sent to an early warning management unit through the operation supervision unit;
And the fusion risk unit immediately acquires management data of the transformer after receiving the performance trend value, the management data represents the management risk value, risk fusion management evaluation analysis is carried out on the management risk value, and the obtained high-level management and control signals, low-level management and control signals and optimization signals are sent to the early warning management unit through the management and control platform.
Preferably, the operation state supervision feedback analysis process of the operation supervision unit is as follows:
The method comprises the steps of collecting the duration of a period of time after a transformer operates, marking the duration as a time threshold, dividing the time threshold into i sub-time nodes, wherein i is a natural number larger than zero, obtaining operation state values of the transformer in each sub-time node, wherein the operation state values represent the ratio of an operation temperature risk value to the duration between the starting operation time and the current time after data normalization processing, the operation temperature risk value represents the area surrounded by a line segment of an operation temperature change curve exceeding a preset operation temperature change curve and the preset operation temperature change curve, establishing a rectangular coordinate system by taking the number of the sub-time nodes as an X axis and the operation state value as a Y axis, drawing points corresponding to the operation state values in the coordinate system in a drawing mode, drawing a preset operation state value threshold curve in the coordinate system, further obtaining the number of points above the preset operation state value threshold curve, marking the risk operation coefficient as a risk operation coefficient, and comparing the risk operation coefficient with a preset risk operation coefficient threshold stored in the risk operation coefficient.
If the ratio between the risk operation coefficient and the preset risk operation coefficient threshold is smaller than 1, no signal is generated;
and if the ratio between the risk operation coefficient and the preset risk operation coefficient threshold is greater than or equal to 1, generating an over-temperature operation signal.
Preferably, the process of the process performance supervision feedback analysis of the cooling processing unit is as follows:
The time threshold is divided into k sub-time periods, k is a natural number larger than zero, a cooling characteristic value and an operation safety value of the transformer cooling equipment in each sub-time period are obtained, the cooling characteristic value represents a product value obtained after data normalization processing of a fan rotating speed average value of the cooling equipment and an operation voltage average value of the cooling equipment, the operation safety value represents the number that the value corresponding to an operation interference parameter of the cooling equipment exceeds a preset threshold value, the operation interference parameter comprises a line reactive power average value, a line damage value and a line port oxidation area change value, the line damage value represents the product value obtained after data normalization processing of the line cracking number and the bulge number, and meanwhile the cooling characteristic value and the operation safety value are labeled LTk and YAk.
Preferably, the in-depth comparison analysis of the cooling treatment unit is as follows:
Obtaining a cooling treatment performance evaluation coefficient Pk in each sub-time period according to a formula, establishing a rectangular coordinate system by taking the number of sub-time periods as an X axis and taking the cooling treatment performance evaluation coefficient Pk as a Y axis, drawing a cooling treatment performance evaluation coefficient curve in a dot drawing mode, further obtaining a variation trend value of the cooling treatment performance evaluation coefficient curve, marking the variation trend value as a performance trend value, and comparing the performance trend value with a preset performance trend value threshold value recorded and stored in the performance trend value:
if the performance trend value is smaller than the preset performance trend value threshold, no signal is generated;
and if the performance trend value is greater than or equal to a preset performance trend value threshold, generating an alarm signal.
Preferably, the operation of the influence supervision unit influences the feedback evaluation operation process as follows:
S1: acquiring oil quality risk values of the transformer in each sub-time period, wherein the oil quality risk values represent oil temperature risk duration, oil temperature impurity content average value and oil pressure interference value, the oil temperature risk duration represents duration corresponding to a line segment of an oil temperature change curve positioned above a preset oil temperature threshold change curve in the sub-time period, the oil pressure interference value represents an area surrounded by the line segment of the oil pressure change curve positioned above the preset oil pressure threshold change curve and the preset oil pressure threshold change curve in the sub-time period, further acquiring a difference value between two connected oil quality risk values, and marking the average value of the difference value between the two connected oil quality risk values as oil quality floating multiplying power;
S2: the method comprises the steps of drawing a circle by taking a transformer as a circle center and R1 as a radius, marking a circular area surrounding the transformer as an environment influence area, obtaining environment interference values of the environment influence area where the transformer is located in each sub-period, wherein the environment interference values represent product values obtained by carrying out data normalization processing on parts of the outside temperature values of the transformer exceeding the inside temperature values and ventilation blocking values, the ventilation blocking values represent the ratio of the blocking number of meshes of a ventilation filter screen to the total number of meshes of the ventilation filter screen, further constructing a set A of the environment interference values, obtaining a mean value of the set A, marking the mean value as a blocking risk value, and comparing oil floating multiplying power and the blocking risk value with a preset oil floating multiplying power threshold value and a preset blocking risk value threshold value which are recorded and stored in the oil floating multiplying power and blocking risk value threshold value:
if the oil quality floating rate is smaller than a preset oil quality floating rate threshold value and the ratio between the obstruction risk value and the preset obstruction risk value threshold value is smaller than 1, no signal is generated;
And if the oil quality floating multiplying power is larger than or equal to a preset oil quality floating multiplying power threshold or the ratio of the obstruction risk value to the preset obstruction risk value threshold is larger than or equal to 1, generating an early warning signal.
Preferably, the risk fusion management evaluation analysis process of the fusion risk unit is as follows:
acquiring management risk values of the transformer in a time threshold, wherein the management risk values represent the number of the transformer basic parameters, corresponding to the values, exceeding a preset threshold, the transformer basic parameters comprise the time length for being put into use and the fault frequency, meanwhile, the oil quality floating multiplying power and the obstruction risk values are regulated from an influence monitoring unit, and the management risk values, the oil quality floating multiplying power and the obstruction risk values are respectively marked as GF, YF and ZA;
according to the formula Obtaining a fusion risk assessment coefficient, wherein f1, f2 and f3 are respectively preset weight factor coefficients for managing a risk value, an oil floating multiplying power and a blocking risk value, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset compensation factor coefficient, the value is 1.192, R is the fusion risk assessment coefficient, and the fusion risk assessment coefficient R is compared with a preset fusion risk assessment coefficient threshold value recorded and stored in the fusion risk assessment coefficient R:
If the fusion risk assessment coefficient R is larger than a preset fusion risk assessment coefficient threshold value, a management and control signal is generated, when the management and control signal is generated, a part of the fusion risk assessment coefficient R larger than the preset fusion risk assessment coefficient threshold value is obtained and marked as a fusion management and control value, and the fusion management and control value is compared with the preset fusion management and control value threshold value recorded and stored in the fusion management and control value:
if the fusion control value is greater than or equal to a preset fusion control value threshold, generating an advanced control signal;
If the fusion control value is smaller than a preset fusion control value threshold, generating a low-level control signal;
If the fusion risk assessment coefficient R is smaller than or equal to a preset fusion risk assessment coefficient threshold value, generating a normal instruction, when generating the normal instruction, acquiring a history n times of fusion risk assessment coefficients Rn of a normal transformer, wherein n is a natural number larger than zero, further acquiring a difference value between two continuous fusion risk assessment coefficients, marking the difference value between the two continuous fusion risk assessment coefficients with a safe floating value, further acquiring a mean value of the safe floating value, marking the mean value of the safe floating value as a stable performance risk value, and comparing the stable performance risk value with a preset stable performance risk value threshold value recorded and stored in the stable performance risk value:
if the stability performance risk value is smaller than a preset stability performance risk value threshold, no signal is generated;
and if the stability performance risk value is greater than or equal to a preset stability performance risk value threshold, generating an optimization signal.
The beneficial effects of the invention are as follows:
(1) According to the invention, through performing operation state supervision feedback analysis on operation data of the transformer, whether the transformer is overheated or not is judged, so that early warning and rationalization management are performed timely, and on the premise of the overheated operation of the transformer, processing performance supervision feedback analysis is performed on cooling data, and operation influence feedback evaluation operation is performed on influence data, so that whether the overheat operation of the transformer is caused by abnormal cooling of the transformer or abnormal oil quality and environmental factors in the transformer is judged, so that maintenance management is performed on cooling equipment of the transformer timely, and the oil quality and environmental factors in the transformer are processed timely, so that the influence of the oil quality and the environmental factors on the operation of the transformer is reduced, and the cooling performance and operation safety of the cooling equipment of the transformer are ensured;
(2) And the risk fusion management evaluation analysis is carried out in an information feedback mode so as to judge whether the over-temperature operation of the transformer is caused by the data linkage interference, so that the transformer is controlled reasonably and pertinently, and meanwhile, the change trend analysis is carried out on the fusion risk evaluation coefficient R of the transformer, thereby being beneficial to optimizing the operation supervision decision of the transformer and improving the operation stability and safety of the transformer.
Drawings
The invention is further described below with reference to the accompanying drawings;
FIG. 1 is a flow chart of the system of the present invention;
FIG. 2 is a partial analysis diagram of the present invention;
FIG. 3 is an analytical diagram of the method of the present invention.
Detailed Description
The following description of the embodiments of the present invention will be made clearly and completely with reference to the accompanying drawings, in which it is apparent that the embodiments described are only some embodiments of the present invention, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
Embodiment one:
Referring to fig. 1 to 3, the invention discloses an operation state analysis system suitable for a transformer, which comprises a management and control platform, a data acquisition unit, an operation monitoring unit, a cooling processing unit, an influence monitoring unit, a fusion risk unit and an early warning management unit, wherein the management and control platform is in one-way communication connection with the data acquisition unit, the data acquisition unit is in one-way communication connection with the operation monitoring unit, the operation monitoring unit is in two-way communication connection with the cooling processing unit and the influence monitoring unit, the operation monitoring unit is in one-way communication connection with the early warning management unit, the cooling processing unit and the influence monitoring unit are in one-way communication connection with the fusion risk unit, and the fusion risk unit is in one-way communication connection with the management and control platform;
When the management and control platform generates a management and control instruction, the management and control instruction is sent to the data acquisition unit, after the data acquisition unit receives the management and control instruction, the data acquisition unit immediately acquires operation data of the transformer after receiving the management and control instruction, the operation data represent operation state values and are sent to the operation monitoring unit, and the operation monitoring unit immediately performs operation state monitoring feedback analysis on the operation data after receiving the operation data so as to judge whether the transformer is in overheat operation or not, so that early warning management is convenient in time, and the specific operation state monitoring feedback analysis process is as follows:
The method comprises the steps of collecting the duration of a period of time after a transformer operates, marking the duration as a time threshold, dividing the time threshold into i sub-time nodes, wherein i is a natural number larger than zero, obtaining operation state values of the transformer in each sub-time node, wherein the operation state values represent the ratio of an operation temperature risk value to the duration between the starting operation time and the current time after data normalization processing, the operation temperature risk value represents the area surrounded by a line segment of an operation temperature change curve exceeding a preset operation temperature change curve and the preset operation temperature change curve, establishing a rectangular coordinate system by taking the number of the sub-time nodes as an X axis and the operation state value as a Y axis, drawing points corresponding to the operation state values in the coordinate system in a drawing mode, drawing a preset operation state value threshold curve in the coordinate system, further obtaining the number of points above the preset operation state value threshold curve, marking the risk operation coefficient as a risk operation coefficient, and comparing the risk operation coefficient with a preset risk operation coefficient threshold stored in the risk operation coefficient.
If the ratio between the risk operation coefficient and the preset risk operation coefficient threshold is smaller than 1, no signal is generated;
If the ratio between the risk operation coefficient and the preset risk operation coefficient threshold is greater than or equal to 1, generating an over-temperature operation signal, and sending the over-temperature operation signal to a cooling processing unit, an influence monitoring unit and an early warning management unit, wherein the early warning management unit immediately makes preset early warning operation corresponding to the risk operation signal after receiving the risk operation signal so as to timely manage the transformer and reduce the operation fault risk of the transformer;
The cooling processing unit immediately collects cooling data of the transformer after receiving an over-temperature operation signal, the cooling data comprises a cooling characteristic value and an operation safety value, and performs processing performance supervision feedback analysis on the cooling data to judge whether the over-temperature operation of the transformer is caused by abnormal cooling of the transformer, so that the transformer cooling equipment is timely maintained and managed, the cooling performance and the operation safety of the transformer cooling equipment are ensured, the operation stability of the transformer is improved, the abnormal operation risk of the transformer is reduced, and the specific processing performance supervision feedback analysis process is as follows:
The method comprises the steps that a time threshold is divided into k sub-time periods, k is a natural number larger than zero, a cooling characteristic value and an operation safety value of transformer cooling equipment in each sub-time period are obtained, the cooling characteristic value represents a product value obtained after data normalization processing of a fan rotating speed average value of the cooling equipment and an operation voltage average value of the cooling equipment, the operation safety value represents the number that a value corresponding to an operation interference parameter of the cooling equipment exceeds a preset threshold value, the operation interference parameter comprises a line reactive power average value, a line damage value, a line port oxidation area change value and the like, the line damage value represents the product value obtained after data normalization processing of the line cracking number and the bulge number, and the cooling characteristic value and the operation safety value are two influence parameters reflecting abnormal cooling performance of the transformer cooling equipment, and meanwhile the cooling characteristic value and the operation safety value are marked as LTk and YAk;
according to the formula Obtaining a cooling treatment performance evaluation coefficient in each sub-time period, wherein a1 and a2 are preset scale factor coefficients of a cooling characteristic value and an operation safety value respectively, the scale factor coefficients are used for correcting deviation of each parameter in a formula calculation process, so that a calculation result is more accurate, a1 and a2 are positive numbers larger than zero, a3 is a preset fault-tolerant factor coefficient, a value is 2.221, pk is the cooling treatment performance evaluation coefficient in each sub-time period, the number of sub-time periods is taken as an X axis, a rectangular coordinate system is established by taking the cooling treatment performance evaluation coefficient Pk as a Y axis, a cooling treatment performance evaluation coefficient curve is drawn in a description point mode, a variation trend value of the cooling treatment performance evaluation coefficient curve is obtained, the variation trend value is marked as a performance trend value, the performance trend value is sent to a fusion risk unit, and the performance trend value is compared with a preset performance trend value threshold value which is input and stored in the performance trend value.
If the performance trend value is smaller than the preset performance trend value threshold, no signal is generated;
If the performance trend value is greater than or equal to a preset performance trend value threshold, generating an alarm signal, sending the alarm signal to an early warning management unit through an operation supervision unit, and immediately making a preset early warning operation corresponding to the alarm signal after the early warning management unit receives the alarm signal, so as to timely manage the transformer cooling equipment, ensure the cooling performance and operation safety of the transformer cooling equipment, and improve the operation stability of the transformer and reduce the abnormal operation risk of the transformer.
Embodiment two:
The influence monitoring unit immediately collects influence data of the transformer after receiving the over-temperature operation signal, wherein the influence data comprises an oil quality risk value and an environment interference value, and performs operation influence feedback evaluation operation on the influence data to judge whether the over-temperature operation of the transformer is caused by abnormality of oil quality and environment factors in the transformer or not so as to timely treat the oil quality and environment factors in the transformer, further reduce the influence of the oil quality and the environment factors on the operation of the transformer, and ensure the operation safety of the transformer, and the specific operation influence feedback evaluation operation process is as follows:
Acquiring oil quality risk values of the transformers in each sub-time period, wherein the oil quality risk values represent oil temperature risk duration, oil temperature impurity content average value, oil pressure interference value and the like, the oil temperature risk duration represents duration corresponding to a line segment of an oil temperature change curve positioned above a preset oil temperature threshold change curve in the sub-time period, the oil pressure interference value represents an area surrounded by the line segment of the oil pressure change curve positioned above the preset oil pressure threshold change curve and the preset oil pressure threshold change curve in the sub-time period, further acquiring a difference value between two connected oil quality risk values, and marking the average value of the difference value between the two connected oil quality risk values as oil quality floating multiplying power, wherein the larger the value of the oil quality floating multiplying power is, the larger the abnormal running risk of the transformer is, oil in the transformer is not only an insulating medium, but also a heat transfer medium, and if the oil quality is poor or impurities exist in the oil, the heat transfer performance of the oil is reduced, and the phenomenon of overheat of the transformer is caused;
Drawing a circle by taking a transformer as a circle center and R1 as a radius, marking a circular area surrounding the transformer as an environment influence area, acquiring an environment interference value of the environment influence area where the transformer is positioned in each sub-period, wherein the environment interference value represents a product value obtained by carrying out data normalization processing on a part of the external temperature value of the transformer exceeding the internal temperature value and a ventilation blocking value, the ventilation blocking value represents a ratio of the blocking number of meshes of a ventilation filter screen to the total number of meshes of the ventilation filter screen, further constructing an environment interference value set A, acquiring an average value of the set A, marking the average value of the set A as an obstruction risk value, and the larger the value of the obstruction risk value is, the larger the abnormal risk of the transformer is required to operate;
Comparing the oil quality floating rate and the obstruction risk value with a preset oil quality floating rate threshold value and a preset obstruction risk value threshold value which are recorded and stored in the oil quality floating rate and obstruction risk value:
if the oil quality floating rate is smaller than a preset oil quality floating rate threshold value and the ratio between the obstruction risk value and the preset obstruction risk value threshold value is smaller than 1, no signal is generated;
If the oil quality floating rate is greater than or equal to a preset oil quality floating rate threshold, or the ratio between the blocking risk value and the preset blocking risk value threshold is greater than or equal to 1, generating an early warning signal, and sending the early warning signal to an early warning management unit through an operation supervision unit, wherein the early warning management unit immediately makes a preset early warning operation corresponding to the early warning signal after receiving the early warning signal, so that the oil quality and environmental factors inside the transformer are treated in time, and the influence of the oil quality and the environmental factors on the operation of the transformer is reduced, so that the operation safety of the transformer is ensured;
the fusion risk unit immediately collects management data of the transformer after receiving the performance trend value, the management data represent management risk values, and performs risk fusion management evaluation analysis on the management risk values so as to judge whether the over-temperature operation of the transformer is caused by the factor-dependent interference or not, so that the transformer is managed and controlled reasonably and pertinently to improve the operation stability and safety of the transformer, and the specific risk fusion management evaluation analysis process is as follows:
Acquiring management risk values of the transformer in a time threshold, wherein the management risk values represent the number of the transformer basic parameters, the number of which is larger than a preset threshold, the transformer basic parameters comprise the time length for being put into use, the fault frequency and the like, meanwhile, the oil quality floating multiplying power and the obstruction risk values are called from an influence supervision unit, and the management risk values, the oil quality floating multiplying power and the obstruction risk values are respectively marked as GF, YF and ZA;
according to the formula Obtaining a fusion risk assessment coefficient, wherein f1, f2 and f3 are respectively preset weight factor coefficients for managing a risk value, an oil floating multiplying power and a blocking risk value, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset compensation factor coefficient, the value is 1.192, R is the fusion risk assessment coefficient, and the fusion risk assessment coefficient R is compared with a preset fusion risk assessment coefficient threshold value recorded and stored in the fusion risk assessment coefficient R:
If the fusion risk assessment coefficient R is larger than a preset fusion risk assessment coefficient threshold value, a management and control signal is generated, when the management and control signal is generated, a part of the fusion risk assessment coefficient R larger than the preset fusion risk assessment coefficient threshold value is obtained and marked as a fusion management and control value, and the fusion management and control value is compared with the preset fusion management and control value threshold value recorded and stored in the fusion management and control value:
if the fusion control value is greater than or equal to a preset fusion control value threshold, generating an advanced control signal;
if the fusion control value is smaller than a preset fusion control value threshold, generating a low-level control signal, and sending the high-level control signal and the low-level control signal to an early warning management unit through a control platform, wherein the early warning management unit immediately and respectively makes preset early warning operations corresponding to the high-level control signal and the low-level control signal after receiving the high-level control signal and the low-level control signal, so that the transformer is controlled reasonably and pertinently to improve the running stability and the safety of the transformer;
If the fusion risk assessment coefficient R is smaller than or equal to a preset fusion risk assessment coefficient threshold value, generating a normal instruction, when generating the normal instruction, acquiring a natural number of which the history n times of fusion risk assessment coefficients Rn is larger than zero, further acquiring a difference value between two continuous fusion risk assessment coefficients, marking a safe floating value by the difference value between the two continuous fusion risk assessment coefficients, further acquiring a mean value of the safe floating value, marking the mean value of the safe floating value as a stable performance risk value, and comparing the stable performance risk value with a preset stable performance risk value threshold value which is recorded and stored in the stable performance risk value, wherein the higher the value of the stable performance risk value is, the higher the abnormal risk of the transformer is required to be controlled, and the comparison analysis is carried out on the stable performance risk value and the preset stable performance risk value threshold value which is required to be recorded in the stable performance risk value.
If the stability performance risk value is smaller than a preset stability performance risk value threshold, no signal is generated;
If the stability performance risk value is greater than or equal to a preset stability performance risk value threshold, generating an optimization signal, sending the optimization signal to an early warning management unit through a management platform, and immediately making a preset early warning operation corresponding to the optimization signal after the early warning management unit receives the optimization signal, so that the transformer operation supervision decision is optimized in time, and the operation quality and the safety of the transformer are guaranteed.
Embodiment III:
an operation state analysis method suitable for a transformer comprises the following steps:
Step one: performing operation state supervision feedback analysis on the operation data of the transformer to judge whether the transformer is in overheat operation or not, and if so, entering a step two;
step two: performing processing performance supervision feedback analysis on the cooling data and performing operation influence feedback evaluation operation on the influence data to judge whether the over-temperature operation of the transformer is caused by abnormal cooling of the transformer or abnormal oil quality and environmental factors in the transformer, and if so, performing early warning management;
step three: performing risk fusion management evaluation analysis on the management risk value in an information feedback mode so as to judge whether the over-temperature operation of the transformer is caused by the data linkage interference, if so, performing a fourth step, and if not, performing a fifth step;
Step four: deep analysis is carried out on the fusion risk assessment coefficient R of the transformer so as to reasonably and pertinently manage and control the transformer and improve the running stability and safety of the transformer;
step five: the fusion risk assessment coefficient R of the transformer is subjected to change trend analysis, so that the transformer operation supervision decision is optimized;
In summary, the invention performs operation state supervision feedback analysis on the operation data of the transformer to judge whether the transformer is overheated to perform early warning rationalization management in time, and performs processing performance supervision feedback analysis on the cooling data to judge whether the transformer is overheated to perform maintenance management on the transformer cooling equipment in time due to abnormal cooling of the transformer on the premise of performing the transformer overheating operation, so as to ensure the cooling performance and operation safety of the transformer cooling equipment, improve the operation stability of the transformer and reduce the abnormal operation risk of the transformer, perform operation influence feedback evaluation operation on the influence data to judge whether the transformer is overheated to perform processing on the internal oil quality and the environmental factors of the transformer in time due to abnormal environmental factors of the transformer, further reduce the influence of the oil quality and the environmental factors on the transformer to ensure the operation safety of the transformer, and perform risk fusion management evaluation analysis in an information feedback mode to judge whether the transformer is excessively heated to perform management and control on the transformer due to the interlocking interference of factors, and meanwhile perform supervision and decision fusion analysis on the transformer change trend, so as to facilitate the security evaluation and the safety of the transformer.
The size of the threshold is set for ease of comparison, and regarding the size of the threshold, the number of cardinalities is set for each set of sample data depending on how many sample data are and the person skilled in the art; as long as the proportional relation between the parameter and the quantized value is not affected.
The above formulas are all formulas obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and coefficients in the formulas are set by a person skilled in the art according to practical situations, and the above is only a preferred embodiment of the present invention, but the protection scope of the present invention is not limited thereto, and any person skilled in the art is within the technical scope of the present invention, and the technical scheme and the inventive concept according to the present invention are equivalent to or changed and are all covered in the protection scope of the present invention.
Claims (2)
1. The running state analysis system suitable for the transformer is characterized by comprising a management and control platform, a data acquisition unit, an operation supervision unit, a cooling processing unit, an influence supervision unit, a fusion risk unit and an early warning management unit;
When the management and control platform generates a management and control instruction, the management and control instruction is sent to the data acquisition unit, after the data acquisition unit receives the management and control instruction, the data acquisition unit immediately acquires operation data of the transformer after receiving the management and control instruction, the operation data represent operation state values and are sent to the operation monitoring unit, and the operation monitoring unit immediately carries out operation state monitoring feedback analysis on the operation data after receiving the operation data and sends an obtained over-temperature operation signal to the cooling processing unit, the influence monitoring unit and the early warning management unit;
The cooling processing unit immediately collects cooling data of the transformer after receiving the over-temperature operation signal, wherein the cooling data comprises a cooling characteristic value and an operation safety value, processes performance supervision feedback analysis and deep comparison analysis on the cooling data, sends an obtained performance trend value to the fusion risk unit, and sends an obtained alarm signal to the early warning management unit through the operation supervision unit;
The method comprises the steps that when an over-temperature operation signal is received by an influence supervision unit, influence data of a transformer are immediately collected, the influence data comprise an oil quality risk value and an environment interference value, operation influence feedback evaluation operation is carried out on the influence data, and the obtained early warning signal is sent to an early warning management unit through the operation supervision unit;
The fusion risk unit immediately collects management data of the transformer after receiving the performance trend value, the management data represent management risk values, risk fusion management evaluation analysis is carried out on the management risk values, and the obtained high-level management control signals, low-level management control signals and optimization signals are sent to the early warning management unit through the management control platform;
the operation state supervision feedback analysis process of the operation supervision unit is as follows:
The method comprises the steps of collecting the duration of a period of time after a transformer operates, marking the duration as a time threshold, dividing the time threshold into i sub-time nodes, wherein i is a natural number larger than zero, obtaining operation state values of the transformer in each sub-time node, wherein the operation state values represent the ratio of an operation temperature risk value to the duration between the starting operation time and the current time after data normalization processing, the operation temperature risk value represents the area surrounded by a line segment of an operation temperature change curve exceeding a preset operation temperature change curve and the preset operation temperature change curve, establishing a rectangular coordinate system by taking the number of the sub-time nodes as an X axis and the operation state value as a Y axis, drawing points corresponding to the operation state values in the coordinate system in a drawing mode, drawing a preset operation state value threshold curve in the coordinate system, further obtaining the number of points above the preset operation state value threshold curve, marking the risk operation coefficient as a risk operation coefficient, and comparing the risk operation coefficient with a preset risk operation coefficient threshold stored in the risk operation coefficient.
If the ratio between the risk operation coefficient and the preset risk operation coefficient threshold is smaller than 1, no signal is generated;
If the ratio between the risk operation coefficient and the preset risk operation coefficient threshold is greater than or equal to 1, generating an over-temperature operation signal;
the process of the process performance supervision feedback analysis of the cooling processing unit comprises the following steps:
Dividing a time threshold into k sub-time periods, wherein k is a natural number larger than zero, obtaining a cooling characteristic value and an operation safety value of the transformer cooling equipment in each sub-time period, wherein the cooling characteristic value represents a product value obtained by carrying out data normalization processing on a fan rotating speed average value of the cooling equipment and an operation voltage average value of the cooling equipment, the operation safety value represents the number of the operation interference parameter of the cooling equipment, the number of which exceeds a preset threshold value, the operation interference parameter comprises a line reactive power average value, a line damage value and a line port oxidation area change value, the line damage value represents the product value obtained by carrying out data normalization processing on the line cracking number and the bulge number, and meanwhile, the cooling characteristic value and the operation safety value are marked as LTk and YAk;
The in-depth comparison and analysis process of the cooling treatment unit is as follows:
Obtaining a cooling treatment performance evaluation coefficient Pk in each sub-time period according to a formula, establishing a rectangular coordinate system by taking the number of sub-time periods as an X axis and taking the cooling treatment performance evaluation coefficient Pk as a Y axis, drawing a cooling treatment performance evaluation coefficient curve in a dot drawing mode, further obtaining a variation trend value of the cooling treatment performance evaluation coefficient curve, marking the variation trend value as a performance trend value, and comparing the performance trend value with a preset performance trend value threshold value recorded and stored in the performance trend value:
if the performance trend value is smaller than the preset performance trend value threshold, no signal is generated;
if the performance trend value is greater than or equal to a preset performance trend value threshold, generating an alarm signal;
the operation influence feedback evaluation operation process of the influence supervision unit is as follows:
S1: acquiring oil quality risk values of the transformer in each sub-time period, wherein the oil quality risk values represent oil temperature risk duration, oil temperature impurity content average value and oil pressure interference value, the oil temperature risk duration represents duration corresponding to a line segment of an oil temperature change curve positioned above a preset oil temperature threshold change curve in the sub-time period, the oil pressure interference value represents an area surrounded by the line segment of the oil pressure change curve positioned above the preset oil pressure threshold change curve and the preset oil pressure threshold change curve in the sub-time period, further acquiring a difference value between two connected oil quality risk values, and marking the average value of the difference value between the two connected oil quality risk values as oil quality floating multiplying power;
S2: the method comprises the steps of drawing a circle by taking a transformer as a circle center and R1 as a radius, marking a circular area surrounding the transformer as an environment influence area, obtaining environment interference values of the environment influence area where the transformer is located in each sub-period, wherein the environment interference values represent product values obtained by carrying out data normalization processing on parts of the outside temperature values of the transformer exceeding the inside temperature values and ventilation blocking values, the ventilation blocking values represent the ratio of the blocking number of meshes of a ventilation filter screen to the total number of meshes of the ventilation filter screen, further constructing a set A of the environment interference values, obtaining a mean value of the set A, marking the mean value as a blocking risk value, and comparing oil floating multiplying power and the blocking risk value with a preset oil floating multiplying power threshold value and a preset blocking risk value threshold value which are recorded and stored in the oil floating multiplying power and blocking risk value threshold value:
if the oil quality floating rate is smaller than a preset oil quality floating rate threshold value and the ratio between the obstruction risk value and the preset obstruction risk value threshold value is smaller than 1, no signal is generated;
If the oil quality floating multiplying power is larger than or equal to a preset oil quality floating multiplying power threshold or the ratio between the obstruction risk value and the preset obstruction risk value threshold is larger than or equal to 1, generating an early warning signal;
the risk fusion management evaluation analysis process of the fusion risk unit is as follows:
acquiring management risk values of the transformer in a time threshold, wherein the management risk values represent the number of the transformer basic parameters, corresponding to the values, exceeding a preset threshold, the transformer basic parameters comprise the time length for being put into use and the fault frequency, meanwhile, the oil quality floating multiplying power and the obstruction risk values are regulated from an influence monitoring unit, and the management risk values, the oil quality floating multiplying power and the obstruction risk values are respectively marked as GF, YF and ZA;
according to the formula Obtaining a fusion risk assessment coefficient, wherein f1, f2 and f3 are respectively preset weight factor coefficients for managing a risk value, an oil floating multiplying power and a blocking risk value, f1, f2 and f3 are positive numbers larger than zero, f4 is a preset compensation factor coefficient, the value is 1.192, R is the fusion risk assessment coefficient, and the fusion risk assessment coefficient R is compared with a preset fusion risk assessment coefficient threshold value recorded and stored in the fusion risk assessment coefficient R:
If the fusion risk assessment coefficient R is larger than a preset fusion risk assessment coefficient threshold value, a management and control signal is generated, when the management and control signal is generated, a part of the fusion risk assessment coefficient R larger than the preset fusion risk assessment coefficient threshold value is obtained and marked as a fusion management and control value, and the fusion management and control value is compared with the preset fusion management and control value threshold value recorded and stored in the fusion management and control value:
if the fusion control value is greater than or equal to a preset fusion control value threshold, generating an advanced control signal;
If the fusion control value is smaller than a preset fusion control value threshold, generating a low-level control signal;
If the fusion risk assessment coefficient R is smaller than or equal to a preset fusion risk assessment coefficient threshold value, generating a normal instruction, when generating the normal instruction, acquiring a history n times of fusion risk assessment coefficients Rn of a normal transformer, wherein n is a natural number larger than zero, further acquiring a difference value between two continuous fusion risk assessment coefficients, marking the difference value between the two continuous fusion risk assessment coefficients with a safe floating value, further acquiring a mean value of the safe floating value, marking the mean value of the safe floating value as a stable performance risk value, and comparing the stable performance risk value with a preset stable performance risk value threshold value recorded and stored in the stable performance risk value:
if the stability performance risk value is smaller than a preset stability performance risk value threshold, no signal is generated;
and if the stability performance risk value is greater than or equal to a preset stability performance risk value threshold, generating an optimization signal.
2. A method for analyzing an operation state of a transformer, the method being applied to the operation state analysis system for a transformer according to claim 1, comprising the steps of:
Step one: performing operation state supervision feedback analysis on the operation data of the transformer to judge whether the transformer is in overheat operation or not, and if so, entering a step two;
step two: performing processing performance supervision feedback analysis on the cooling data and performing operation influence feedback evaluation operation on the influence data to judge whether the over-temperature operation of the transformer is caused by abnormal cooling of the transformer or abnormal oil quality and environmental factors in the transformer, and if so, performing early warning management;
step three: performing risk fusion management evaluation analysis on the management risk value in an information feedback mode so as to judge whether the over-temperature operation of the transformer is caused by the data linkage interference, if so, performing a fourth step, and if not, performing a fifth step;
Step four: deep analysis is carried out on the fusion risk assessment coefficient R of the transformer so as to reasonably and pertinently manage and control the transformer and improve the running stability and safety of the transformer;
step five: and carrying out change trend analysis on the fusion risk assessment coefficient R of the transformer, and carrying out optimization treatment on the operation supervision decision of the transformer.
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