CN117250456A - Transformer insulation state monitoring system - Google Patents
Transformer insulation state monitoring system Download PDFInfo
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- CN117250456A CN117250456A CN202311543077.9A CN202311543077A CN117250456A CN 117250456 A CN117250456 A CN 117250456A CN 202311543077 A CN202311543077 A CN 202311543077A CN 117250456 A CN117250456 A CN 117250456A
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- 238000012544 monitoring process Methods 0.000 title claims abstract description 229
- 238000009413 insulation Methods 0.000 title claims abstract description 158
- 230000032683 aging Effects 0.000 claims abstract description 51
- 238000000034 method Methods 0.000 claims abstract description 30
- 239000012774 insulation material Substances 0.000 claims abstract description 28
- 230000002159 abnormal effect Effects 0.000 claims description 78
- 238000006116 polymerization reaction Methods 0.000 claims description 69
- 239000011810 insulating material Substances 0.000 claims description 65
- 230000005856 abnormality Effects 0.000 claims description 29
- 230000035882 stress Effects 0.000 claims description 17
- 239000002253 acid Substances 0.000 claims description 8
- 238000004643 material aging Methods 0.000 claims description 5
- 238000010586 diagram Methods 0.000 description 8
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000006467 substitution reaction Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000004891 communication Methods 0.000 description 1
- 230000007613 environmental effect Effects 0.000 description 1
- 230000007774 longterm Effects 0.000 description 1
- 230000007257 malfunction Effects 0.000 description 1
- 229920002545 silicone oil Polymers 0.000 description 1
- 230000001052 transient effect Effects 0.000 description 1
Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/1227—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials
- G01R31/1263—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation
- G01R31/1281—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing of components, parts or materials of solid or fluid materials, e.g. insulation films, bulk material; of semiconductors or LV electronic components or parts; of cable, line or wire insulation of liquids or gases
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Abstract
The invention relates to a transformer insulation state monitoring system, in particular to the field of transformer monitoring, which comprises an information acquisition module, an information analysis module, a coil monitoring module, an oil quality monitoring module, an alarm module, a feedback analysis module and a correction module, wherein the information acquisition module is used for acquiring historical information and equipment information of a transformer, the information analysis module is used for analyzing insulation states of transformer oil and insulation paper, setting insulation state prediction functions of all insulation materials according to analysis results, the coil monitoring module is used for analyzing the insulation states of the insulation paper, the oil quality monitoring module is used for analyzing the insulation states of the transformer oil, the alarm module is used for calculating an insulation material ageing index, alarming is carried out on the insulation states of the transformer according to the insulation material ageing index, and the feedback analysis module is used for calculating line resistance of a transformer coil and correcting a calculation process of the insulation material ageing index according to the line resistance. The invention effectively improves the efficiency of monitoring the insulation state of the insulation material.
Description
Technical Field
The invention relates to the technical field of transformer monitoring, in particular to a transformer insulation state monitoring system.
Background
Transformers are important electrical devices in electrical power systems, and their proper operation is critical to the stability and reliability of the electrical power system. However, the insulation state of the transformer may be changed due to long-term use and external environmental factors, thereby causing malfunction of the device and loss of power. Therefore, it is important to monitor and pre-warn the insulation state of the transformer in real time.
Chinese patent publication No.: CN108490322a. The invention discloses a transformer insulation state monitoring system, which comprises a working condition analysis unit, an electric quantity analysis unit and a non-electric quantity analysis unit; the working condition analysis unit is used for analyzing the acquired operating state information and fault state information of the transformer and identifying the operating condition of the transformer and abnormal events of the transformer; the electrical quantity analysis unit is used for analyzing the acquired electrical state quantities of the transformer and judging transient working conditions experienced by the transformer; the non-electrical quantity analysis unit is used for analyzing all the acquired non-electrical state quantities of the transformer and judging whether the transformer is abnormal or not; the working condition analysis unit, the electric quantity analysis unit and the non-electric quantity analysis unit are connected with each other in pairs through a CAN bus and an Ethernet respectively; the working condition analysis unit, the electric quantity analysis unit or the non-electric quantity analysis unit synchronizes the abnormal event of the transformer to the other two analysis units through the CAN bus, so that the high-reliability monitoring of the insulation state of the transformer is realized; therefore, the invention does not monitor and judge specific transformer insulating materials, and has the problem of low monitoring efficiency.
Disclosure of Invention
Therefore, the invention provides a transformer insulation state monitoring system which is used for solving the problem of low efficiency of transformer insulation state monitoring in the prior art.
To achieve the above object, the present invention provides a transformer insulation state monitoring system, comprising,
the information acquisition module is used for acquiring historical information and equipment information of the transformer;
the information analysis module is used for analyzing the insulation states of the transformer oil and the insulation paper according to the service cycle and the safety parameter range of each insulation material of the transformer, and setting an insulation state prediction function of the insulation paper and an insulation state prediction function of the transformer oil according to analysis results;
the coil monitoring module is used for analyzing the insulation state of the insulation paper in the monitoring period according to the insulation state prediction function of the insulation paper and adjusting the analysis process of the insulation state of the insulation paper in the monitoring period according to the average humidity and the voltage stress of the insulation paper in the monitoring period;
the oil quality monitoring module is used for analyzing the insulation state of the transformer oil in the monitoring period according to the transformer oil insulation state prediction function and adjusting the analysis process of the insulation state of the transformer oil in the monitoring period according to the average temperature and the acid value of the transformer oil in the monitoring period;
The alarm module is used for calculating the ageing index of the insulating material according to the insulating states of the insulating paper and the transformer oil in the monitoring period and alarming the insulating state of the transformer according to the ageing index of the insulating material;
the feedback analysis module is used for calculating the line resistance of the transformer coil according to the input power, the output power and the input voltage of the transformer in the monitoring period, and correcting the calculation process of the ageing index of the insulating material in the next monitoring period according to the line resistance.
Further, the information analysis module is provided with a variable calculation unit for calculating a degree of polymerization change rate k1 of the insulating paper according to a use period T1 of the insulating paper and a degree of polymerization safety range (a 1, a 2), wherein a calculation formula of the degree of polymerization change rate k1 of the insulating paper is as follows:
k1=（a1-a2）/T1
the variable calculation unit is used for calculating the oil quality change rate k2 according to the service period T2 of the transformer oil and the oil quality index safety range (b 1, b 2), wherein the oil quality change rate k2 is calculated according to the following formula:
k2=（b1-b2）/T2
wherein a1 is the left value of the safety range of the polymerization degree of the insulating paper, a2 is the right value of the safety range of the polymerization degree of the insulating paper, b1 is the left value of the safety range of the oil quality index, and b2 is the right value of the safety range of the oil quality index;
The information analysis module is further provided with a function prediction unit, and the function prediction unit is used for setting an insulation paper insulation state prediction function f1 (x) according to the insulation paper polymerization degree change rate k1 and the insulation paper replacement time t1, and setting f1 (x) =k1×x+t1;
the function prediction unit is used for setting a transformer oil insulation state prediction function f2 (x) according to the oil quality change rate k2 and the transformer oil replacement time t2, and setting f2 (x) =k2×x+t2;
where x is the time argument.
Further, the coil monitoring module is provided with a first abnormal unit, and the first abnormal unit is used for calculating and obtaining a predicted insulating paper polymerization degree N in the current monitoring period according to the insulating paper insulating state prediction function Pre-preparation Setting N Pre-preparation = f1[（t1+t2）/2]；
Wherein t1 is the time left value of the current monitoring period, and t2 is the time right value of the current monitoring period;
the first abnormal unit calculates the polymerization degree n of the insulating paper in the monitoring period, and the calculation formula of the polymerization degree n of the insulating paper in the monitoring period is as follows:
n= m /(l×b×h)×F/(b×h)
wherein m is the mass of the insulating paper, F is the maximum tensile force born by the insulating paper before fracture, l is the length of the insulating paper, b is the width of the insulating paper, and h is the thickness of the insulating paper;
The first abnormality unit is used for detecting the polymerization degree N of the insulating paper in the monitoring period and predicting the polymerization degree N of the insulating paper Pre-preparation And a polymerization degree threshold value N, wherein:
when N is greater than or equal to N Pre-preparation When N is more than or equal to N, the first abnormal unit judges that the polymerization degree of the insulating paper is normal in the monitoring period;
when N is less than N Pre-preparation And when N is greater than or equal to N, the first abnormality unit judges that the polymerization degree of the insulating paper in the monitoring period is lower than a normal value, sets the abnormal value number alpha 1 of the first insulating paper, and sets alpha 1 = sin [ arctan (N) Pre-preparation -n）]；
When N < N, the first abnormality unit determines that the degree of polymerization of the insulating paper in the monitoring period is lower than the threshold value of the degree of polymerization, and sets a second insulating paper abnormality index α2, setting α2=1.
Further, the coil monitoring module is further provided with a first adjusting unit, the first adjusting unit is used for comparing the average humidity SD of the insulation paper in the monitoring period with each preset humidity, and adjusting the process of calculating the abnormality index of the insulation paper according to the comparison result, wherein:
when SD1 is less than or equal to SD2, the first adjusting unit judges that the average humidity of the insulating paper in the monitoring period is normal, and no adjustment is performed;
when SD < SD1, the first adjusting unit determines that the average humidity of the insulation paper in the monitoring period is low, and predicts the polymerization degree N of the insulation paper Pre-preparation Adjusted to N Pre-preparation ' set N Pre-preparation ’=N Pre-preparation ×ln（SD1-SD）；
When SD > SD2, the first adjusting unit determines that the average humidity of the insulation paper is high in the monitoring period, and predicts the polymerization degree N of the insulation paper Pre-preparation Adjusted to N Pre-preparation ", set N Pre-preparation ”=N Pre-preparation ×ln（SD-SD2）。
Further, the coil monitoring module is further provided with a first optimizing unit, the first optimizing unit is used for comparing the voltage stress V of the insulating paper in the monitoring period with the voltage stress threshold value V, and optimizing the adjusting process of the abnormal index of the insulating paper according to the comparison result, wherein:
when V is smaller than V, the first optimizing unit judges that the voltage stress is normal in the monitoring period;
when V is larger than or equal to V, the first optimizing unit judges that the voltage stress is high in the monitoring period, and sets the second preset humidity as SD2', and sets SD2' =Sd2× (V-V)/V.
Further, the oil quality monitoring module is provided with a second abnormal unit, and the second abnormal unit is used for calculating and obtaining a predicted oil quality index P of the transformer oil in the current monitoring period according to the transformer oil insulation state prediction function Pre-preparation Setting P Pre-preparation = f2[（t1+t2）/2]；
The second abnormality unit is configured to calculate an oil quality index p in a monitoring period, where a calculation formula of the oil quality index p in the monitoring period is as follows:
VI=[Ln(V100/V40)×100]+100
p=(0.016×VI2)+(0.004×VI)+0.053
The second abnormal unit is used for mixing the oil quality index P of the transformer in the monitoring period with the predicted oil quality index P of the transformer Pre-preparation And an oil index threshold P, wherein:
when P is less than or equal to P Pre-preparation And when P is less than or equal to P, the first abnormal unit judges that the oil quality index of the transformer in the monitoring period is normal;
when P > P Pre-preparation And when P is less than or equal to P, the second abnormal unit judges that the oil quality index of the transformer in the monitoring period is high, sets the abnormal index beta 1 of the transformer, and sets beta 1 = sin [ (P-P) Pre-preparation ）/10]；
And when P is more than P, the second abnormal unit judges that the oil quality index of the transformer oil in the monitoring period is higher than the oil quality index threshold, sets the abnormal index beta 2 of the transformer oil, and sets beta 2 = 1.
Further, the oil quality monitoring module is provided with a second adjusting unit, and the second adjusting unit is used for comparing the average temperature q of the monitoring period transformer oil with each preset temperature and adjusting the process of calculating the abnormal index of the transformer oil according to the comparison, wherein:
when Q is smaller than Q1, the second adjusting unit judges that the temperature in the monitoring period is low and sets the oil quality index of the predicted transformer to P Pre-preparation ' setting P Pre-preparation ’=P Pre-preparation ×（1+e q-Q1 ）；
When Q1 is more than or equal to Q and less than or equal to Q2, the second adjusting unit judges that the temperature in the monitoring period is normal;
When Q is more than Q2, the second adjusting unit judges that the temperature is high in the monitoring period, and predicts that the oil quality index of the transformer is set as P Pre-preparation ", set P Pre-preparation ”=P Pre-preparation ×（1-e q-Q1 ）；
Wherein Q1 is a first preset temperature, Q2 is a second preset temperature, and Q1 is less than Q2.
Further, the oil quality monitoring module is provided with a second optimizing unit, and the second optimizing unit is used for carrying out each preset temperature of the transformer oil according to the acid value H in the monitoring periodOptimizing the row, and setting the optimized first preset temperature to be Q1' =Q1× (2-e -H/10 ) Setting the optimized second preset temperature as Q2', and setting Q2' =q2×e -H/10 。
Further, the alarm module calculates an insulation material aging index W according to the insulation paper abnormality index αi and the transformer oil abnormality index βj, and sets i=1, 2, and the calculation formula of the insulation material aging index W with j=1, 2 is as follows:
W=αi×c1+βj×c2
wherein c1 is the weight of insulating paper in insulating state to insulating material, c2 is the weight of transformer oil in insulating state to insulating material, c1 is less than c2 and c1+c2=1;
the alarm module compares the ageing index of the insulating material with a preset ageing index and sets an alarm grade according to the comparison result, wherein:
When the alpha i is not equal to 1, the beta j is not equal to 1 and the W is less than 0.1, the alarm module judges that the insulation state in the monitoring period is normal;
when the alpha i is not equal to 1, the beta j is not equal to 1 and the W is not less than 0.1 and not more than 0.5, the alarm module judges the insulation state in the monitoring period as risk, and carries out alarm prompt to prompt the transformer to operate strictly according to rated power;
when the alpha i is not equal to 1, the beta j is not equal to 1 and the W is not less than 0.5, the alarm module judges the insulation state in the monitoring period to be dangerous, and carries out alarm prompt to prompt the replacement of the insulation material;
when the alpha i=1 or the beta j=1, the alarm module judges that the insulation state is dangerous in the monitoring period, and carries out alarm prompt to prompt the replacement of the insulation material.
Further, the feedback analysis module monitors the input power G of the transformer in a period Into (I) Output power G Out of And input voltage U Into (I) And calculating a line resistance U in the monitoring period, wherein the calculation formula of the line resistance R is as follows:
R=U into (I) 2 /（G Into (I) -G Out of ）
The feedback analysis module adjusts the polymerization degree threshold value N according to the line resistance, and sets the adjusted polymerization degree threshold value as N ', and sets N' =N× (1+2/pi×arctanR);
the feedback analysis module adjusts the oil quality index threshold P according to the line resistance R, and sets the adjusted oil quality index as P ', and sets P' =p× (1+2/pi×arctanr).
Compared with the prior art, the invention has the beneficial effects that the information acquisition module is used for acquiring the information for the system, the integrity and the accuracy of the information acquisition are improved, thereby improving the accuracy of the ageing index of the insulating material of the transformer, and finally improving the monitoring efficiency of the insulating state of the transformer, the information analysis module is used for analyzing the change of the insulating degree of each insulating material in the service period, so as to improve the accuracy of the calculation of the abnormal index of each insulating material, thereby improving the accuracy of the ageing index of the insulating material of the transformer, finally improving the monitoring efficiency of the insulating state of the transformer, monitoring the insulating state of the insulating paper of the insulating material of the transformer coil in the monitoring period through the coil monitoring unit, calculating the abnormal index of the insulating paper, and improving the accuracy of the abnormal index of the insulating paper, thereby improving the accuracy of the ageing index of the insulating material of the transformer, finally improving the monitoring efficiency of the insulating state of the transformer, monitoring the insulating state of the transformer oil in the monitoring period through the oil monitoring module, calculating the abnormal index of the oil to improve the accuracy of the abnormal index of the transformer oil, thereby improving the accuracy of the ageing index of the insulating material of the transformer, finally improving the monitoring efficiency of the insulating state of the transformer, analyzing the insulating state of the insulating material of the transformer through the alarm module, alarming according to the analysis result, improving the accuracy of the ageing index of the insulating material of the transformer, thereby improving the monitoring efficiency of the insulating state of the transformer, analyzing the line resistance of the transformer through the feedback analysis module, adjusting the analysis process of the insulating material in the next monitoring period, improving the accuracy of the ageing index of the insulating material of the transformer, thereby improving the monitoring efficiency of the insulating state of the transformer.
In particular, the function prediction unit integrally controls the change of the two insulating materials through setting the prediction function of each insulating material so as to improve the accuracy of calculation of the abnormal index of each insulating material, thereby improving the accuracy of the ageing index of the insulating material of the transformer, and finally improving the monitoring efficiency of the insulating state of the transformer.
Drawings
Fig. 1 is a schematic structural diagram of a transformer insulation state monitoring system according to the present embodiment;
FIG. 2 is a schematic diagram of the structure of the information analysis module according to the present embodiment;
FIG. 3 is a schematic diagram of a coil monitoring module according to the present embodiment;
fig. 4 is a schematic structural diagram of the oil quality monitoring module according to the present embodiment.
Detailed Description
In order that the objects and advantages of the invention will become more apparent, the invention will be further described with reference to the following examples; it should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Preferred embodiments of the present invention are described below with reference to the accompanying drawings. It should be understood by those skilled in the art that these embodiments are merely for explaining the technical principles of the present invention, and are not intended to limit the scope of the present invention.
It should be noted that, in the description of the present invention, unless explicitly specified and limited otherwise, the terms "mounted," "connected," and "connected" are to be construed broadly, and may be, for example, fixedly connected, detachably connected, or integrally connected; can be mechanically or electrically connected; can be directly connected or indirectly connected through an intermediate medium, and can be communication between two elements. The specific meaning of the above terms in the present invention can be understood by those skilled in the art according to the specific circumstances.
Referring to fig. 1, which is a schematic diagram of a transformer insulation state monitoring system according to the present embodiment, including,
the information acquisition module is used for acquiring historical information and equipment information of the transformer, wherein the historical information comprises a service period, a safety parameter range and replacement time of each insulating material of the transformer, the service period is a service period after each insulating material is replaced once, the insulating material comprises insulating paper and transformer oil of a transformer coil, the safety parameter range comprises a polymerization degree safety range of the insulating paper and an oil quality index safety range of the transformer oil, and the equipment information comprises input power, output power and rated power of the transformer;
the information analysis module is used for analyzing the insulation states of the transformer oil and the insulation paper according to the service cycle and the safety parameter range of each insulation material of the transformer, setting an insulation state prediction function of the insulation paper and an insulation state prediction function of the transformer oil according to analysis results, and connecting the information analysis module with the information acquisition module;
the coil monitoring module is used for analyzing the insulation state of the insulation paper in the monitoring period according to the insulation state prediction function of the insulation paper, adjusting the analysis process of the insulation state of the insulation paper in the monitoring period according to the average humidity and the voltage stress of the insulation paper in the monitoring period, and connecting the coil monitoring module with the information analysis module;
The oil quality monitoring module is used for analyzing the insulation state of the transformer oil in the monitoring period according to the transformer oil insulation state prediction function, adjusting the analysis process of the insulation state of the transformer oil in the monitoring period according to the average temperature and the acid value of the transformer oil in the monitoring period, and connecting the oil quality monitoring module with the information analysis module;
the alarm module is used for calculating the ageing index of the insulating material according to the insulating states of the insulating paper and the transformer oil in the monitoring period, alarming the insulating state of the transformer according to the ageing index of the insulating material, and connecting the coil monitoring module and the oil quality monitoring module;
the feedback analysis module is used for calculating the line resistance of the transformer coil according to the input power, the output power and the input voltage of the transformer in the monitoring period, correcting the calculation process of the ageing index of the insulating material in the next monitoring period according to the line resistance, and is connected with the alarm module.
Fig. 2 is a schematic structural diagram of an information analysis module according to the present embodiment, which includes,
the variable computing unit is used for computing the aging rate of the insulation state of each insulation material according to the service cycle and the safety parameter range of each insulation material;
The function prediction unit is used for analyzing an insulation state prediction function of each insulation material according to the aging rate of each insulation material, and is connected with the calculation unit;
referring to fig. 3, a schematic structural diagram of an insulation paper monitoring module according to the present embodiment includes,
the first abnormality unit is used for calculating an abnormality index of the insulating paper according to the polymerization degree of the insulating paper in the monitoring period and the insulating state prediction function of the insulating paper;
the first adjusting unit is used for adjusting the process of calculating the abnormality index of the insulating paper according to the average humidity of the insulating paper in the monitoring period, and is connected with the first abnormality unit;
the first optimizing unit is used for optimizing the adjusting process of the abnormal index of the insulating paper according to the voltage stress of the insulating paper, and is connected with the first adjusting unit.
Referring to fig. 4, a schematic structural diagram of an oil quality monitoring module according to the present embodiment includes,
the second abnormal unit is used for calculating the abnormal index of the transformer oil according to the oil quality index of the transformer oil in the monitoring period and the transformer oil insulation state prediction function;
the second adjusting unit is used for adjusting the process of calculating the abnormal index of the transformer oil according to the average temperature of the transformer oil in the monitoring period, and is connected with the second abnormal unit;
And the second optimizing unit is used for optimizing the adjustment process of the abnormal index of the transformer oil according to the acid value in the monitoring period and is connected with the second adjusting unit.
Specifically, the system described in this embodiment is applied to monitoring the insulation state of a transformer, and in this embodiment, the aging rate of two kinds of insulation materials of the transformer, namely, transformer oil and insulation paper, in a normal state is analyzed to obtain an aging degree function of the two kinds of insulation materials, and the abnormal condition of the insulation state of the insulation paper and transformer oil in an operation state in a monitoring period is monitored and analyzed to obtain the abnormal condition of the insulation state of the transformer, and further, the analysis process of the insulation state is supplemented by analyzing the resistance of the transformer.
Specifically, the embodiment improves the integrity and accuracy of information acquisition by the information acquisition module for acquiring information of the system, thereby improving the accuracy of the ageing index of the insulating material of the transformer, finally improving the monitoring efficiency of the insulating state of the transformer, analyzing the change of the insulating degree of each insulating material in the using period by the information analysis module to improve the accuracy of calculation of the abnormal index of each insulating material, thereby improving the accuracy of the ageing index of the insulating material of the transformer, finally improving the monitoring efficiency of the insulating state of the transformer, monitoring the insulating state of the insulating material insulating paper of the transformer coil in the monitoring period by the coil monitoring unit, calculating the abnormal index of the insulating paper, improving the accuracy of the abnormal index of the insulating paper, thereby improving the accuracy of the ageing index of the insulating material of the transformer, finally improving the monitoring efficiency of the insulating state of the transformer, monitoring the insulating state of the transformer, calculating the abnormal index of the transformer, improving the accuracy of the ageing index of the insulating material of the transformer, finally improving the ageing index of the insulating material of the transformer, and improving the ageing index of the insulating material of the transformer according to the monitoring period by the monitoring module, analyzing the ageing index of the insulating material of the transformer, thereby improving the monitoring efficiency of the insulating state of the transformer.
Specifically, the variable calculation unit calculates the insulating paper polymerization degree change rate k1 from the use period T1 of the insulating paper and the polymerization degree safety range (a 1, a 2), wherein the calculation formula of the insulating paper polymerization degree change rate k1 is as follows:
k1=（a1-a2）/T1
the variable calculating unit calculates the oil quality change rate k2 according to the service period T2 of the transformer oil and the oil quality index safety range (b 1, b 2), wherein the oil quality change rate k2 has the following calculation formula:
k2=（b1-b2）/T2
wherein a1 is the left value of the safety range of the polymerization degree of the insulating paper, a2 is the right value of the safety range of the polymerization degree of the insulating paper, b1 is the left value of the safety range of the oil quality index, and b2 is the right value of the safety range of the oil quality index.
Specifically, the variable computing unit computes the insulation degree change rate of two insulating materials of the transformer, so that the accuracy of the prediction function of each insulating material is improved, the accuracy of the calculation of the abnormal index of each insulating material is further improved, the accuracy of the ageing index of the insulating material of the transformer is further improved, and finally the monitoring efficiency of the insulating state of the transformer is improved.
Specifically, the function prediction unit sets an insulation paper insulation state prediction function f1 (x) according to the insulation paper polymerization degree change rate k1 and the insulation paper replacement time t1, and sets f1 (x) =k1×x+t1;
The function prediction unit sets a transformer oil insulation state prediction function f2 (x) according to the oil quality change rate k2 and the transformer oil replacement time t2, and sets f2 (x) =k2×x+t2;
where x is the time argument.
Specifically, the function prediction unit integrally controls the change of two insulating materials by setting the prediction function of each insulating material so as to improve the calculation accuracy of the abnormal index of each insulating material, thereby improving the accuracy of the ageing index of the insulating material of the transformer and finally improving the monitoring efficiency of the insulating state of the transformer.
Specifically, the first abnormality unit calculates a predicted insulating paper polymerization degree N in a current monitoring period according to the insulating paper insulating state prediction function Pre-preparation Setting N Pre-preparation = f1[（t1+t2）/2]；
Wherein t1 is the time left value of the current monitoring period, and t2 is the time right value of the current monitoring period;
the first abnormal unit calculates the polymerization degree n of the insulating paper in the monitoring period, and the calculation formula of the polymerization degree n of the insulating paper in the monitoring period is as follows:
n= m /(l×b×h)×F/(b×h)
wherein m is the mass of the insulating paper, F is the maximum tensile force born by the insulating paper before fracture, l is the length of the insulating paper, b is the width of the insulating paper, and h is the thickness of the insulating paper;
The first abnormality unit monitors the degree of polymerization N of the insulating paper in the period and predicts the degree of polymerization N of the insulating paper Pre-preparation And a polymerization degree threshold value N, wherein:
when N is greater than or equal to N Pre-preparation When N is more than or equal to N, the first abnormal unit judges that the polymerization degree of the insulating paper is normal in the monitoring period;
when N is less than N Pre-preparation When N is more than or equal to N, the first abnormal unit judges that the polymerization degree of the insulating paper in the monitoring period is lowThe first insulation paper abnormal value number alpha 1 is set at the normal value, and alpha 1 = sin [ arctan (N) Pre-preparation -n）]；
When N < N, the first abnormality unit determines that the degree of polymerization of the insulating paper in the monitoring period is lower than the threshold value of the degree of polymerization, and sets a second insulating paper abnormality index α2, setting α2=1.
Specifically, the first abnormal unit calculates the polymerization degree in the monitoring period and compares the polymerization degree with the predicted polymerization degree to improve the accuracy of the insulation paper abnormal index, so that the accuracy of the insulation paper aging index of the transformer is improved, the monitoring efficiency of the insulation state of the transformer is finally improved, the abnormal condition of the polymerization degree of the insulation paper is perfected by setting the polymerization degree threshold to improve the accuracy of the insulation paper abnormal index, the accuracy of the insulation paper aging index of the transformer is improved, the monitoring efficiency of the insulation state of the transformer is finally improved, it is understood that the embodiment does not specifically limit the value of the insulation paper polymerization degree threshold N, and a person skilled in the art can freely set the insulation paper aging index, and only needs to meet the requirement of the insulation paper polymerization degree threshold, for example, the optimal value of the insulation paper polymerization degree threshold is 250.
Specifically, the first adjusting unit compares the average humidity SD of the insulating paper in the monitoring period with each preset humidity, and adjusts the process of calculating the abnormality index of the insulating paper according to the comparison result, wherein:
when SD1 is less than or equal to SD2, the first adjusting unit judges that the average humidity of the insulating paper in the monitoring period is normal, and no adjustment is performed;
when SD < SD1, the first adjusting unit determines that the average humidity of the insulation paper in the monitoring period is low, and predicts the polymerization degree N of the insulation paper Pre-preparation Adjusted to N Pre-preparation ' set N Pre-preparation ’=N Pre-preparation ×ln（SD1-SD）；
When SD > SD2, the first adjusting unit determines that the average humidity of the insulation paper is high in the monitoring period, and predicts the polymerization degree N of the insulation paper Pre-preparation Adjusted to N Pre-preparation ", set N Pre-preparation ”=N Pre-preparation ×ln（SD-SD2）；
Wherein SD1 is a first preset humidity, SD2 is a second preset humidity, and SD1 is less than SD2.
Specifically, the first adjusting unit analyzes the humidity of the insulating paper in the monitoring period to adjust the process of calculating the abnormal index of the insulating paper, so that the accuracy of the abnormal index of the insulating paper is improved, the accuracy of the ageing index of the insulating material of the transformer is improved, and finally the monitoring efficiency of the insulating state of the transformer is improved.
Specifically, the first optimizing unit compares the voltage stress V of the insulating paper in the monitoring period with the voltage stress threshold V, and optimizes the adjusting process of the abnormality index of the insulating paper according to the comparison result, wherein:
when V is smaller than V, the first optimizing unit judges that the voltage stress is normal in the monitoring period;
when V is more than or equal to V, the first optimizing unit judges that the voltage stress is high in the monitoring period, and sets the second preset humidity as SD2', and sets SD2' =Sd2× (V-V)/V;
specifically, the first optimizing unit analyzes the voltage stress of the insulating paper to optimize the adjusting process of the abnormal index of the insulating paper, so that the accuracy of the abnormal index of the insulating paper is improved, the accuracy of the ageing index of the insulating material of the transformer is improved, and finally the monitoring efficiency of the insulating state of the transformer is improved.
Specifically, the second abnormal unit calculates and obtains a predicted transformer oil quality index P in the current monitoring period according to the transformer oil insulation state prediction function Pre-preparation Setting P Pre-preparation = f2[（t1+t2）/2]；
The second abnormal unit calculates an oil quality index p in a monitoring period, and the calculation formula of the oil quality index p in the monitoring period is as follows:
VI=[Ln(V100/V40)×100]+100
p=(0.016×VI 2 )+(0.004×VI)+0.053
wherein VI is the kinematic viscosity index of the transformer, V40 is the value of the kinematic viscosity measured in a transformer oil sample at 40 ℃, V100 is the value of the kinematic viscosity measured in a transformer oil sample at 100 ℃;
the second abnormal unit monitors the oil quality index P of the transformer in the period and predicts the oil quality index P of the transformer Pre-preparation And an oil index threshold P, wherein:
when P is less than or equal to P Pre-preparation And when P is less than or equal to P, the first abnormal unit judges that the oil quality index of the transformer in the monitoring period is normal;
when P > P Pre-preparation And when P is less than or equal to P, the second abnormal unit judges that the oil quality index of the transformer in the monitoring period is high, sets the abnormal index beta 1 of the transformer, and sets beta 1 = sin [ (P-P) Pre-preparation ）/10]；
And when P is more than P, the second abnormal unit judges that the oil quality index of the transformer oil in the monitoring period is higher than the oil quality index threshold, sets the abnormal index beta 2 of the transformer oil, and sets beta 2 = 1.
Specifically, the second abnormal unit calculates the oil quality index in the monitoring period and compares the oil quality index with the predicted oil quality index to improve the accuracy of the oil quality index of the transformer, so that the accuracy of the ageing index of the insulating material of the transformer is improved, the monitoring efficiency of the insulating state of the transformer is finally improved, the accuracy of the abnormal index of the insulating paper is improved by setting the oil quality index threshold value, the accuracy of the ageing index of the insulating material of the transformer is improved, and the monitoring efficiency of the insulating state of the transformer is finally improved.
Specifically, the second adjustment unit compares the average temperature q of the transformer oil in the monitoring period with each preset temperature, and adjusts the process of calculating the abnormal index of the transformer oil according to the comparison, wherein:
when Q is smaller than Q1, the second adjusting unit judges that the temperature in the monitoring period is low and sets the oil quality index of the predicted transformer to P Pre-preparation ' setting P Pre-preparation ’=P Pre-preparation ×（1+e q-Q1 ）；
When Q1 is more than or equal to Q and less than or equal to Q2, the second adjusting unit judges that the temperature in the monitoring period is normal;
when Q is more than Q2, the second adjusting unit judges that the temperature is high in the monitoring period, and predicts that the oil quality index of the transformer is set as P Pre-preparation ", set P Pre-preparation ”=P Pre-preparation ×（1-e q-Q1 ）；
Wherein Q1 is a first preset temperature, Q2 is a second preset temperature, and Q1 is less than Q2.
Specifically, the second adjusting unit analyzes the temperature of the transformer oil in the monitoring period to adjust the process of calculating the abnormal index of the transformer oil, thereby improving the accuracy of the abnormal index of the transformer oil, improving the accuracy of the ageing index of the insulating material of the transformer, and finally improving the monitoring efficiency of the insulating state of the transformer, and it can be understood that the embodiment does not limit the values of the first preset temperature Q1 and the second preset temperature Q2, and the skilled person can freely set the values, only needs to meet the requirements of the first preset temperature Q1 and the second preset temperature Q2, if the type of the transformer oil is petroleum-type transformer oil, the optimal value of Q1 is 20 ℃, the optimal value of Q2 is 90 ℃, and if the type of the transformer oil is silicone oil, the optimal value of Q1 is-40 ℃, and the optimal value of Q2 is 200 ℃.
Specifically, the second optimizing unit optimizes each preset temperature of the transformer oil according to the acid value H in the monitoring period, and sets the optimized first preset temperature as Q1', and sets Q1' =q1× (2-e) -H/10 ) Setting the optimized second preset temperature as Q2', and setting Q2' =q2×e -H/10 。
Specifically, the second optimizing unit optimizes the adjustment process of the abnormal index of the transformer oil by analyzing the acid value of the transformer in the monitoring period, so that the accuracy of the abnormal index of the transformer oil is improved, the accuracy of the ageing index of the insulating material of the transformer is improved, and finally the monitoring efficiency of the insulating state of the transformer is improved.
Specifically, the alarm module calculates an insulation material aging index W according to the insulation paper abnormality index αi and the transformer oil abnormality index βj, sets i=1, 2, and sets j=1, 2, wherein the calculation formula of the insulation material aging index W is as follows:
W=αi×c1+βj×c2
wherein c1 is the weight of insulating paper in insulating state to insulating material, c2 is the weight of transformer oil in insulating state to insulating material, c1 is less than c2 and c1+c2=1;
the alarm module compares the ageing index of the insulating material with a preset ageing index and sets an alarm grade according to the comparison result, wherein:
When the alpha i is not equal to 1, the beta j is not equal to 1 and the W is less than 0.1, the alarm module judges that the insulation state in the monitoring period is normal;
when the alpha i is not equal to 1, the beta j is not equal to 1 and the W is not less than 0.1 and not more than 0.5, the alarm module judges the insulation state in the monitoring period as risk, and carries out alarm prompt to prompt the transformer to operate strictly according to rated power;
when the alpha i is not equal to 1, the beta j is not equal to 1 and the W is not less than 0.5, the alarm module judges the insulation state in the monitoring period to be dangerous, and carries out alarm prompt to prompt the replacement of the insulation material;
when the alpha i=1 or the beta j=1, the alarm module judges that the insulation state is dangerous in the monitoring period, and carries out alarm prompt to prompt the replacement of the insulation material.
Specifically, the alarm module calculates the ageing index of the insulating material, alarms the insulating state of the insulating material according to the ageing index of the insulating material, and improves the accuracy of the ageing index of the insulating material of the transformer, so that the monitoring efficiency of the insulating state of the transformer is improved.
Specifically, the feedback analysis module monitors the transformer output in a periodPower of G Into (I) Output power G Out of And input voltage U Into (I) And calculating a line resistance U in the monitoring period, wherein the calculation formula of the line resistance R is as follows:
R=U Into (I) 2 /（G Into (I) -G Out of ）
The feedback analysis module adjusts the polymerization degree threshold value N according to the line resistance, and sets the adjusted polymerization degree threshold value as N ', and sets N' =N× (1+2/pi×arctanR);
the feedback analysis module adjusts the oil quality index threshold P according to the line resistance R, and sets the adjusted oil quality index as P ', and sets P' =p× (1+2/pi×arctanr).
Specifically, the feedback analysis module monitors the resistance change of the current monitoring period to adjust the abnormal index calculation process in the next monitoring period, so that the problem of coil load increase caused by coil resistance change is solved, the insulation material is monitored more safely and efficiently by adjusting the threshold value of each insulation material, the accuracy of the aging index of the insulation material of the transformer is improved, and the monitoring efficiency of the insulation state of the transformer is improved.
Thus far, the technical solution of the present invention has been described in connection with the preferred embodiments shown in the drawings, but it is easily understood by those skilled in the art that the scope of protection of the present invention is not limited to these specific embodiments. Equivalent modifications and substitutions for related technical features may be made by those skilled in the art without departing from the principles of the present invention, and such modifications and substitutions will be within the scope of the present invention.
Claims (10)
1. A transformer insulation state monitoring system is characterized by comprising,
the information acquisition module is used for acquiring historical information and equipment information of the transformer;
the information analysis module is used for analyzing the insulation states of the transformer oil and the insulation paper according to the service cycle and the safety parameter range of each insulation material of the transformer, and setting an insulation state prediction function of the insulation paper and an insulation state prediction function of the transformer oil according to analysis results;
the coil monitoring module is used for analyzing the insulation state of the insulation paper in the monitoring period according to the insulation state prediction function of the insulation paper and adjusting the analysis process of the insulation state of the insulation paper in the monitoring period according to the average humidity and the voltage stress of the insulation paper in the monitoring period;
the oil quality monitoring module is used for analyzing the insulation state of the transformer oil in the monitoring period according to the transformer oil insulation state prediction function and adjusting the analysis process of the insulation state of the transformer oil in the monitoring period according to the average temperature and the acid value of the transformer oil in the monitoring period;
the alarm module is used for calculating the ageing index of the insulating material according to the insulating states of the insulating paper and the transformer oil in the monitoring period and alarming the insulating state of the transformer according to the ageing index of the insulating material;
The feedback analysis module is used for calculating the line resistance of the transformer coil according to the input power, the output power and the input voltage of the transformer in the monitoring period, and correcting the calculation process of the ageing index of the insulating material in the next monitoring period according to the line resistance.
2. The transformer insulation state monitoring system according to claim 1, wherein the information analysis module is provided with a variable calculation unit for calculating an insulation paper polymerization degree change rate k1 from a use period T1 of the insulation paper and a polymerization degree safety range (a 1, a 2), wherein a calculation formula of the insulation paper polymerization degree change rate k1 is as follows:
k1=（a1-a2）/T1
the variable calculation unit is used for calculating the oil quality change rate k2 according to the service period T2 of the transformer oil and the oil quality index safety range (b 1, b 2), wherein the oil quality change rate k2 is calculated according to the following formula:
k2=（b1-b2）/T2
wherein a1 is the left value of the safety range of the polymerization degree of the insulating paper, a2 is the right value of the safety range of the polymerization degree of the insulating paper, b1 is the left value of the safety range of the oil quality index, and b2 is the right value of the safety range of the oil quality index;
the information analysis module is further provided with a function prediction unit, and the function prediction unit is used for setting an insulation paper insulation state prediction function f1 (x) according to the insulation paper polymerization degree change rate k1 and the insulation paper replacement time t1, and setting f1 (x) =k1×x+t1;
The function prediction unit is used for setting a transformer oil insulation state prediction function f2 (x) according to the oil quality change rate k2 and the transformer oil replacement time t2, and setting f2 (x) =k2×x+t2;
where x is the time argument.
3. The transformer insulation state monitoring system according to claim 1, wherein the coil monitoring module is provided with a first abnormality unit for calculating a predicted insulation paper polymerization degree N in a current monitoring period according to the insulation paper insulation state prediction function Pre-preparation Setting N Pre-preparation = f1[（t1+t2）/2]；
Wherein t1 is the time left value of the current monitoring period, and t2 is the time right value of the current monitoring period;
the first abnormal unit calculates the polymerization degree n of the insulating paper in the monitoring period, and the calculation formula of the polymerization degree n of the insulating paper in the monitoring period is as follows:
n= m /(l×b×h)×F/(b×h)
wherein m is the mass of the insulating paper, F is the maximum tensile force born by the insulating paper before fracture, l is the length of the insulating paper, b is the width of the insulating paper, and h is the thickness of the insulating paper;
the first abnormality unit is used for detecting the polymerization degree N of the insulating paper in the monitoring period and predicting the polymerization degree N of the insulating paper Pre-preparation And a polymerization degree threshold value N, wherein:
When N is greater than or equal to N Pre-preparation When N is more than or equal to N, the first abnormal unit judges that the polymerization degree of the insulating paper is normal in the monitoring period;
when N is less than N Pre-preparation When N is more than or equal to N, the first abnormal unit judges that the insulating paper gathers in the monitoring periodThe degree of coincidence is lower than the normal value, the first insulation paper abnormal value number alpha 1 is set, and alpha 1 = sin [ arctan (N) Pre-preparation -n）]；
When N < N, the first abnormality unit determines that the degree of polymerization of the insulating paper in the monitoring period is lower than the threshold value of the degree of polymerization, and sets a second insulating paper abnormality index α2, setting α2=1.
4. The transformer insulation state monitoring system according to claim 3, wherein the coil monitoring module is further provided with a first adjusting unit, the first adjusting unit is configured to compare an average humidity SD of the insulation paper in the monitoring period with each preset humidity, and adjust a process of calculating an insulation paper abnormality index according to a comparison result, wherein:
when SD1 is less than or equal to SD2, the first adjusting unit judges that the average humidity of the insulating paper in the monitoring period is normal, and no adjustment is performed;
when SD < SD1, the first adjusting unit determines that the average humidity of the insulation paper in the monitoring period is low, and predicts the polymerization degree N of the insulation paper Pre-preparation Adjusted to N Pre-preparation ' set N Pre-preparation ’=N Pre-preparation ×ln（SD1-SD）；
When SD > SD2, the first adjusting unit determines that the average humidity of the insulation paper is high in the monitoring period, and predicts the polymerization degree N of the insulation paper Pre-preparation Adjusted to N Pre-preparation ", set N Pre-preparation ”=N Pre-preparation ×ln（SD-SD2）。
5. The transformer insulation state monitoring system according to claim 4, wherein the coil monitoring module is further provided with a first optimizing unit, the first optimizing unit is configured to compare the insulation paper voltage stress V with a voltage stress threshold V in a monitoring period, and optimize an adjustment process of an insulation paper abnormality index according to a comparison result, wherein:
when V is smaller than V, the first optimizing unit judges that the voltage stress is normal in the monitoring period;
when V is larger than or equal to V, the first optimizing unit judges that the voltage stress is high in the monitoring period, and sets the second preset humidity as SD2', and sets SD2' =Sd2× (V-V)/V.
6. The transformer insulation state monitoring system according to claim 1, wherein the oil quality monitoring module is provided with a second abnormal unit for calculating a predicted transformer oil quality index P in a current monitoring period according to the transformer oil insulation state prediction function Pre-preparation Setting P Pre-preparation = f2[（t1+t2）/2]；
The second abnormality unit is configured to calculate an oil quality index p in a monitoring period, where a calculation formula of the oil quality index p in the monitoring period is as follows:
VI=[Ln(V100/V40)×100]+100
p=(0.016×VI2)+(0.004×VI)+0.053
the second abnormal unit is used for mixing the oil quality index P of the transformer in the monitoring period with the predicted oil quality index P of the transformer Pre-preparation And an oil index threshold P, wherein:
when P is less than or equal to P Pre-preparation And when P is less than or equal to P, the first abnormal unit judges that the oil quality index of the transformer in the monitoring period is normal;
when P > P Pre-preparation And when P is less than or equal to P, the second abnormal unit judges that the oil quality index of the transformer in the monitoring period is high, sets the abnormal index beta 1 of the transformer, and sets beta 1 = sin [ (P-P) Pre-preparation ）/10]；
And when P is more than P, the second abnormal unit judges that the oil quality index of the transformer oil in the monitoring period is higher than the oil quality index threshold, sets the abnormal index beta 2 of the transformer oil, and sets beta 2 = 1.
7. The transformer insulation state monitoring system according to claim 6, wherein the oil quality monitoring module is provided with a second adjusting unit, the second adjusting unit is configured to compare an average temperature q of the transformer oil in the monitoring period with each preset temperature, and adjust a process of calculating an abnormal index of the transformer oil according to the comparison, wherein:
When Q is smaller than Q1, the second adjusting unit determines that the temperature is low in the monitoring period and predicts the changeThe oil quality index of the presser is set to be P Pre-preparation ' setting P Pre-preparation ’=P Pre-preparation ×（1+e q-Q1 ）；
When Q1 is more than or equal to Q and less than or equal to Q2, the second adjusting unit judges that the temperature in the monitoring period is normal;
when Q is more than Q2, the second adjusting unit judges that the temperature is high in the monitoring period, and predicts that the oil quality index of the transformer is set as P Pre-preparation ", set P Pre-preparation ”=P Pre-preparation ×（1-e q-Q1 ）；
Wherein Q1 is a first preset temperature, Q2 is a second preset temperature, and Q1 is less than Q2.
8. The transformer insulation state monitoring system according to claim 7, wherein the oil quality monitoring module is provided with a second optimizing unit for optimizing each preset temperature of the transformer oil according to the acid value H in the monitoring period, and setting the optimized first preset temperature to be Q1' =q1× (2-e) -H/10 ) Setting the optimized second preset temperature as Q2', and setting Q2' =q2×e -H/10 。
9. The transformer insulation state monitoring system according to claim 1, wherein the alarm module calculates an insulation material aging index W from the insulation paper abnormality index αi and the transformer oil abnormality index βj, sets i=1, 2, and sets j=1, 2 as follows:
W=αi×c1+βj×c2
Wherein c1 is the weight of insulating paper in insulating state to insulating material, c2 is the weight of transformer oil in insulating state to insulating material, c1 is less than c2 and c1+c2=1;
the alarm module compares the ageing index of the insulating material with a preset ageing index and sets an alarm grade according to the comparison result, wherein:
when the alpha i is not equal to 1, the beta j is not equal to 1 and the W is less than 0.1, the alarm module judges that the insulation state in the monitoring period is normal;
when the alpha i is not equal to 1, the beta j is not equal to 1 and the W is not less than 0.1 and not more than 0.5, the alarm module judges the insulation state in the monitoring period as risk, and carries out alarm prompt to prompt the transformer to operate strictly according to rated power;
when the alpha i is not equal to 1, the beta j is not equal to 1 and the W is not less than 0.5, the alarm module judges the insulation state in the monitoring period to be dangerous, and carries out alarm prompt to prompt the replacement of the insulation material;
when the alpha i=1 or the beta j=1, the alarm module judges that the insulation state is dangerous in the monitoring period, and carries out alarm prompt to prompt the replacement of the insulation material.
10. The transformer insulation state monitoring system according to claim 1, wherein the feedback analysis module is configured to monitor the transformer input power G during a period Into (I) Output power G Out of And input voltage U Into (I) And calculating a line resistance U in the monitoring period, wherein the calculation formula of the line resistance R is as follows:
R=U into (I) 2 /（G Into (I) -G Out of ）
The feedback analysis module adjusts the polymerization degree threshold value N according to the line resistance, and sets the adjusted polymerization degree threshold value as N ', and sets N' =N× (1+2/pi×arctanR);
the feedback analysis module adjusts the oil quality index threshold P according to the line resistance R, and sets the adjusted oil quality index as P ', and sets P' =p× (1+2/pi×arctanr).
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