CN112464440B - Dry-type transformer health condition evaluation method based on three-level evaluation model - Google Patents

Dry-type transformer health condition evaluation method based on three-level evaluation model Download PDF

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CN112464440B
CN112464440B CN202011210080.5A CN202011210080A CN112464440B CN 112464440 B CN112464440 B CN 112464440B CN 202011210080 A CN202011210080 A CN 202011210080A CN 112464440 B CN112464440 B CN 112464440B
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雷成
王永强
杨磊
杜宗阳
周哲俊
章勇
李洪伟
杨晓斌
赵宇晗
李亮
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Baoding Tonghe Electric Power Technology Co ltd
Jiangsu Nuclear Power Corp
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Abstract

The invention belongs to the technical field of state evaluation of electrical equipment, and particularly discloses a dry-type transformer health condition evaluation method based on a three-level evaluation model, which comprises the following steps: collecting key parameter data, insulation state quantity data and reliability parameter data in the operation condition of the dry-type transformer; respectively calculating the health index HI of the first-level evaluation model according to the acquired key parameter data, insulation state quantity data and reliability parameter data1Second-order evaluation model health index HI2And the correction coefficient F of the third-level evaluation model3(ii) a According to HI1、HI2And F3And calculating the health index HI of the dry-type transformer. The method provided by the invention can be used for evaluating the health condition of the dry-type transformer, effectively searching the potential fault of the dry-type transformer, and arranging the overhaul time and project in a targeted manner, thereby having indispensable effects on reducing the workload of overhaul of the dry-type transformer and improving the safe and stable operation level and the power supply reliability of the power system.

Description

Dry-type transformer health condition evaluation method based on three-level evaluation model
Technical Field
The invention belongs to the technical field of state evaluation of electrical equipment, and particularly relates to a dry-type transformer health condition evaluation method based on a three-level evaluation model.
Background
The power transformer is one of the most important devices in the operation of the power system, plays an important role in the safe and stable operation of a power grid and a load by taking the functions of electric energy conversion and voltage conversion, and directly influences the reliable operation of the power system by the condition of the power transformer. The dry-type transformer develops rapidly in nearly two-thirty years, the proportion of the dry-type transformer in a low-voltage distribution system is increased continuously, and once the dry-type transformer fails in operation, a power grid is broken down, so that great economic loss is caused.
Therefore, it is highly desirable to develop a method for evaluating the health condition of a dry-type transformer, which can determine the fault location, the fault degree and the development trend, and improve the accuracy of the health condition evaluation and the state maintenance guidance.
Disclosure of Invention
The invention aims to provide a dry-type transformer health condition evaluation method based on a three-level evaluation model, which can evaluate the health condition of a dry-type transformer, can effectively search potential faults of the dry-type transformer and arrange overhaul time and items in a targeted manner, and has indispensable effects on reducing the fault overhaul workload of the dry-type transformer and improving the safe and stable operation level and the power supply reliability of a power system.
The technical scheme for realizing the purpose of the invention is as follows: a health condition assessment method of a dry type transformer based on a three-level evaluation model, the method comprises the following steps:
step 1, collecting key parameter data, insulation state quantity data and reliability parameter data of a dry type transformer in the operation condition of the dry type transformer;
step 2, collecting key parameters in the operation condition of the dry type transformer according to the step 1Data, calculating health index HI of the first-level evaluation model1；
Step 3, calculating the health index HI of the second-level evaluation model according to the insulation state quantity data of the dry-type transformer collected in the step 12；
Step 4, calculating a correction coefficient F of a third-level evaluation model according to the reliability parameter data of the dry-type transformer acquired in the step 13；
Step 5, calculating the health index HI of the first-level evaluation model according to the step 2-41Second-order evaluation model health index HI2And the correction coefficient F of the third-level evaluation model3And calculating the health index HI of the dry-type transformer.
The step 2 comprises the following steps:
step 2.1, determining an environmental coefficient correction factor f of the dry type transformere；
Step 2.2, determining a load level correction factor f of the dry type transformerl；
Step 2.3, calculating the insulation life loss T of the dry-type transformerins；
Step 2.4, calculating the actual service life T 'of the dry type transformer'end；
Step 2.5, calculating the initial aging coefficient B of the dry type transformera0；
Step 2.6, calculating the health index HI of the first-stage evaluation model of the dry-type transformer1。
Actual service life T 'in step 2.4'endThe calculation formula of (2) is as follows:
Figure GDA0002910654510000021
in the formula TendThe service life of the dry-type transformer is designed for delivery.
Initial aging factor B in step 2.5a0The calculation formula of (2) is as follows:
Figure GDA0002910654510000022
the first-stage evaluation model of the dry-type transformer in the step 2.6 is as follows:
Figure GDA0002910654510000031
HI in the formula1Is the health index, T, of the first-order evaluation model0For the year of operation of the dry-type transformer, T1For the current operating year, HI, of the dry-type transformer0Is T0And (4) the health index of the dry-type transformer corresponding to the year.
The step 3 comprises the following steps:
step 3.1, calculating hot spot temperature health index HI of dry type transformer21；
Step 3.2, calculating the electric index health index HI of the dry-type transformer22；
Step 3.3, calculating the health index HI of the second-stage evaluation model of the dry-type transformer2。
The second-stage evaluation model of the dry-type transformer in the step 3.3 is as follows:
HI2＝w1HI21+w2HI22，
HI in the formula21Is hot spot temperature health index, HI, of dry-type transformer22Is an electrical index health index, w, of the dry-type transformer1、w2The weights of the hot spot temperature state quantity and the electric index state quantity are respectively 0.4 and 0.6.
The step 4 comprises the following steps:
step 4.1, calculating group component state correction coefficient F31；
Step 4.2, calculating the family defect correction coefficient F32；
Step 4.3, calculating the correction coefficient F of the bad working condition33；
Step 4.4, calculating a correction coefficient F of the third-level evaluation model of the dry-type transformer3。
Step 4.4 third-level evaluation of Dry TransformerCorrection factor F of the valence model3The calculation formula of (2) is as follows:
F3＝F31×F32×F33。
the calculation formula of the health index HI of the dry-type transformer in the step 5 is as follows:
HI＝F3×(ω1HI1+ω2HI2)，
in the formula of omega1Corresponding weight, omega, for the first-stage evaluation model health index of the dry-type transformer2And evaluating the corresponding weight of the model health index for the second stage of the dry-type transformer.
The invention has the beneficial technical effects that:
(1) according to the dry-type transformer health condition evaluation method based on the three-level evaluation model, the characteristics of different characteristic state quantity information of the dry-type transformer are fully utilized, the three-level evaluation model is adopted to evaluate the health condition of the dry-type transformer in a complementary manner, and therefore the health index of the dry-type transformer is obtained;
(2) according to the dry-type transformer health condition evaluation method based on the three-level evaluation model, disclosed by the invention, a plurality of characteristic state quantities of the dry-type transformer can be effectively utilized, the health index of the dry-type transformer can be accurately obtained, theoretical guidance is provided for the customization of an equipment maintenance plan, and the labor cost and the time cost of manual troubleshooting are reduced;
(3) the health condition evaluation method of the dry-type transformer based on the three-level evaluation model improves the overhaul efficiency, reduces the maintenance cost, reduces the occurrence of power accidents, improves the continuity and the high efficiency of power transmission of a power system, and improves the safe and stable operation level and the power supply reliability of the power system;
(4) the method for evaluating the health condition of the dry-type transformer based on the three-level evaluation model is not limited to the dry-type transformer, and can be applied to other electric power equipment by modifying the characteristic state quantity of the equipment and the upper and lower limit thresholds of the equipment.
Drawings
Fig. 1 is a schematic flow chart of a dry-type transformer health condition evaluation method based on a three-level evaluation model according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples.
As shown in fig. 1, the method for evaluating the health condition of a dry-type transformer based on a three-level evaluation model provided by the invention comprises the following steps:
the method comprises the following steps of 1, collecting key parameter data, insulation state quantity data of the dry-type transformer and reliability parameter data of the dry-type transformer in the operation condition of the dry-type transformer, wherein the key parameters comprise factory design service life, operation environment conditions and operation load level, the insulation state quantity comprises hot spot temperature and electrical indexes of a winding, the electrical indexes comprise absorption ratio, iron core grounding current, insulation medium loss and direct resistance unbalance coefficient, and the reliability parameters comprise component state, family defects and bad conditions.
Step 2, calculating the health index HI of the first-level evaluation model according to the key parameter data in the operation condition of the dry-type transformer collected in the step 11
Health index HI of first-order evaluation model1The influence of the operation condition on the health condition of the dry-type transformer is reflected based on the operation condition of the dry-type transformer, wherein the key parameters selected from the operation condition are the factory design service life, the operation environment condition and the operation load level of the dry-type transformer. The method comprises the following specific steps:
step 2.1, determining an environmental coefficient correction factor f of the dry type transformere
feDetermining an environmental coefficient correction factor f according to the data in Table 1 according to the environmental condition and environmental grade of the dry type transformere；
TABLE 1 environmental coefficient correction factor
Figure GDA0002910654510000051
Step 2.2, determining a load level correction factor f of the dry type transformerl
flThe load factor correction factor of the dry-type transformer is related to the load rate of the dry-type transformer, and the average running power S of the dry-type transformer from the time of commissioning is obtained according to the historical running data of the dry-type transformeraveAverage running power SaveWith rated operating power SForehead (forehead)Dividing to obtain dry type transformer load rate, and determining load level correction factor f according to data in Table 2l；
TABLE 2 load level correction factor
Figure GDA0002910654510000061
Step 2.3, calculating the insulation life loss T of the dry-type transformerins
TinsThe method for calculating the insulation life loss determined according to the service life of the dry-type transformer comprises the following steps:
Figure GDA0002910654510000062
wherein FinsAging factor of insulation life per hour, constant b and rated hot spot temperature theta of windingHS,rDepending on the heat resistance rating of the dry-type transformer, this can be determined by consulting the guideline GBT 1094.2013, section 5.2hOperating hot spot temperatures for the dry-type transformer;
thus, corresponding insulation life loss TinsComprises the following steps:
Figure GDA0002910654510000063
in the formula,. DELTA.tiIs a time interval; fins,iIs a time interval Δ tiThe corresponding aging factor of insulation life per hour.
Figure GDA0002910654510000064
The service life of the cable is corresponding to the number of hours;
according to the operation hot spot temperature theta of the dry-type transformerhAnd the service life delta t of the dry-type transformeriCalculating to obtain the insulation life loss Tins；
Step 2.4, calculating the actual service life T 'of the dry type transformer'end
T′endFor the actual service life determined by the dry-type transformer according to its actual operating conditions, the calculation method is as follows:
Figure GDA0002910654510000071
in the formula TendThe service life of the dry-type transformer is designed for factory production,
the environmental coefficient correction factor f obtained according to the steps 2.1-2.3eLoad level correction factor flAnd insulation life loss TinsAnd factory design life TendCalculating to obtain actual service life T'end；
Step 2.5, calculating the initial aging coefficient B of the dry type transformera0
The health index can reflect the change of the health state of the dry-type transformer along with time, and the basic calculation formula is as follows:
Figure GDA0002910654510000072
HI is health index of current operation year of dry-type transformer0The initial health index corresponding to the dry type transformer is generally 95 minutes, T1For the current operating year, T, of the dry-type transformer0For the year of operation of the dry-type transformer, BaIs the aging factor;
the initial aging factor B is derived from equation (4)a0The expression is as follows:
Figure GDA0002910654510000073
let Tend＝T1-T0Designing the service life for the dry transformer leaving factory, assuming transformer commissioning TendThen, the risk of failure is very high, and the equipment needs to be replaced near the end of the service life, and the health index at this time is 60, and meanwhile, the health index HI is assumed to be when the dry-type transformer starts to be put into operation0When 95, then there are
Figure GDA0002910654510000074
When a manufacturer designs a dry-type transformer, the factory design service life T of the dry-type transformer is determinedendGenerally, the service life of the dry-type transformer is 20-30 years, and the service life of the factory design depends on the service life of the insulating material in the standard operation state of the dry-type transformer. However, the dry-type transformer operates in different environments, the actual service life of the dry-type transformer is determined by the load level and the operating environment of the dry-type transformer, and particularly under the conditions of proper maintenance and overhaul and good operating environment of the dry-type transformer, the actual service life of the dry-type transformer may exceed the factory design service life, namely the actual insulation life of the dry-type transformer exceeds the factory design service life. Therefore, the service life T of the factory design can be designed in advance according to the actual situationendAdjusted to actual service life T'end；
At this time, the formula (6) is changed to
Figure GDA0002910654510000081
Actual service life T 'calculated according to step 2.4'endCalculating to obtain an initial aging coefficient Ba0；
Step 2.6, calculating the health index HI of the first-stage evaluation model of the dry-type transformer1
Obtaining the health index HI of the first-level evaluation model according to the first-level evaluation model1The first-level evaluation model is as follows:
Figure GDA0002910654510000082
in the formula T1For the current operating year, T, of the dry-type transformer0For the year of operation of the dry-type transformer, HI0Is T0And (4) the health index of the dry-type transformer corresponding to the year, namely the initial health index corresponding to the dry-type transformer when the dry-type transformer starts to be put into operation.
Initial aging factor B calculated according to step 2.5a0And the year T of dry-type transformer operation0，T0Annual corresponding health index HI of dry-type transformer0And the current operation year T of the dry-type transformer1Calculating to obtain the health index HI of the first-level evaluation model1。
Step 3, calculating the health index HI of the second-level evaluation model according to the insulation state quantity data of the dry-type transformer collected in the step 12
Health index HI of second-order evaluation model2The method is based on the insulation state of the dry-type transformer, and reflects the influence of the insulation state on the health condition of the dry-type transformer, wherein the insulation related state quantity of the dry-type transformer is the hot point temperature of a winding and related electrical indexes, and the related electrical indexes comprise an absorption ratio, iron core grounding current, insulation dielectric loss and a direct resistance unbalance coefficient. The method comprises the following specific steps:
step 3.1, calculating hot spot temperature health index HI of dry type transformer21
According to the insulation life aging factor F in step 2.3insThe constants b and theta are determined according to the heat resistance level of the dry type transformerHS,rCounting the hot spot temperature of the dry type transformer and the corresponding time interval thereof, and calculating the hot spot temperature theta of the windinghInsulation aging factor F per hourins，
Dry-type transformer
Figure GDA0002910654510000091
Inner equivalent unit hour insulation aging factor FEQAComprises the following steps:
Figure GDA0002910654510000092
in the formula,. DELTA.tnIs a time interval, FinsAt Δ tnThe internal insulation aging factor of the insulation board,
therefore, the loss of life per day, i.e., 24h, L% is:
L％＝FEQA×24×100 (10)
thus, for one run N ═ T1-T0For a dry-type transformer, the insulation life loss factor health index, namely the health index HI reflected by the hot-spot temperature21Comprises the following steps:
Figure GDA0002910654510000093
equation (11) can be applied to the case where all the operation data are complete since the dry-type transformer is put into operation,
if the operation data of the dry-type transformer is not complete, the following formula can be used for calculation:
Figure GDA0002910654510000101
in the formula
Figure GDA0002910654510000102
The average loss factor is accumulated for N years of years, and k is an expert experience coefficient.
According to the hot spot temperature theta of the dry-type transformerhAnd its corresponding time interval Δ tnCalculating to obtain the hot spot temperature health index HI of the dry-type transformer21；
Step 3.2, calculating the electric index health index HI of the dry-type transformer22
According to experimental data measured by a dry-type transformer preventive test, four test state quantities of absorption ratio, iron core grounding current, insulation dielectric loss and direct resistance unbalance coefficient are selected as electric index state quantities to be graded, the grading standard is shown in a table 3,
TABLE 3 grading Standard of Electrical indexes of Transformer
Figure GDA0002910654510000103
Determining the weight of each state quantity of the electrical index by considering the importance of each test state quantity factor to the electrical index, and calculating to obtain the health index HI of the electrical index of the dry-type transformer according to the health index calculation model of the electrical index of the dry-type transformer22The health index calculation model of the electrical index of the dry-type transformer is as follows:
Figure GDA0002910654510000104
in the formula, HI22Is an electrical index health index, w, of the dry-type transformeri，FiRespectively, the weight and the score value corresponding to each state quantity of the electrical index.
Step 3.3, calculating the health index HI of the second-stage evaluation model of the dry-type transformer2
The second-stage evaluation model of the dry-type transformer is as follows:
HI2＝w1HI21+w2HI22 (14)
HI in the formula21Is hot spot temperature health index, HI, of dry-type transformer22Is an electrical index health index, w, of the dry-type transformer1、w2The weights of the hot spot temperature state quantity and the electric index state quantity are respectively 0.4 and 0.6.
According to hot spot temperature health index HI of dry-type transformer21And electrical index health index HI of dry type transformer22And the weight w occupied by the temperature state quantity and the electric index state quantity1、w2And calculating to obtain the health index HI of the second-stage evaluation model of the dry-type transformer2。
Step 4, calculating a correction coefficient F of a third-level evaluation model according to the reliability parameter data of the dry-type transformer acquired in the step 13
Health index HI of third-level evaluation model3The health indexes obtained by a first-stage evaluation model and a second-stage evaluation model are corrected based on reliability parameters of the dry-type transformer, the influence of various defects and faults occurring in the operation process on the health condition of the dry-type transformer is evaluated, and the reliability parameters comprise the component state, family defects, poor working conditions and the like of the dry-type transformer. The method comprises the following specific steps:
step 4.1, calculating group component state correction coefficient F31
The component states of the dry-type transformer comprise a sleeve state and an on-load tap-changer state, and the mechanical energy conversion correction coefficient F of the on-load tap-changer is determined according to the mechanical property of the on-load tap-changer of the dry-type transformer on site311The specific grading is shown in table 4; measuring the dielectric loss factor of the casing, comparing with the values of the years, referring to the table 4, determining the quantitative correction coefficient F of the casing312；
TABLE 4 on-load tap-changer mechanicalness energetics correction coefficient
Figure GDA0002910654510000111
Figure GDA0002910654510000121
TABLE 5 casing quantization correction coefficients
Figure GDA0002910654510000122
For a three-phase transformer, consider that the high, medium and low side bushings have different reliability levels, at which time max (F)312h,F312m,F312l) If > 1, then F312＝F312h*F312m*F312lIf max (F)312h,F312m,F312l) If the ratio is less than or equal to 1, F312＝min(F312h,F312m,F312l)；
Wherein, F312hQuantizing the correction coefficient for the high-pressure side sleeve; f312mQuantizing the correction coefficient for the medium-pressure side sleeve; f312lQuantizing the correction coefficient for the low-pressure side sleeve;
component state correction factor F31Calculated according to the following formula:
F31＝F311×F312 (15)
step 4.2, calculating the family defect correction coefficient F32
The family defect coefficient is used to describe the damage degree caused to the dry-type transformer insulation by the family defect. Querying historical operation data of the dry-type transformer, counting family defects caused by self quality in the past operation process, and dividing the family defects caused by self quality in the past operation process of the dry-type transformer into the following three types: general defects, severe defects, and urgent defects, the defect bases of which are 1, 3, and 5, respectively, as shown in table 6:
TABLE 6 Defect basis number table
Figure GDA0002910654510000123
The family defect grade coefficient calculation method comprises the following steps: the defect grade coefficient is the number of general defects times, the general defect base number + the number of serious defects times, the serious defect base number + the emergency defect number times and the emergency defect base number. The relationship between the family defect level coefficient and the correction coefficient is shown in table 7:
TABLE 7 Defect correction factor
Figure GDA0002910654510000131
Determining a family defect correction coefficient F32 according to the family defect grade coefficient obtained by calculation and the data in the table 7;
step 4.3, calculating the correction coefficient F of the bad working condition33
The adverse working conditions mainly refer to the phenomena of short circuit, overvoltage, overload and the like in the near region possibly occurring in the operation process of the dry-type transformer. Coefficient of adverse conditions F33Reflecting the damage degree of insulation caused by faults of weak insulation links of the transformer due to the phenomena of short circuit, overvoltage, overload and the like in the near region of the dry-type transformer in the operation process;
step 4.3.1, determining the overvoltage correction factor F331
When overvoltage occurs, the weak link of the transformer insulation may have faults, such as winding interphase short circuit fault caused by winding insulation breakdown. Using the overvoltage coefficient F331The damage degree of the dry-type transformer to the insulation thereof when overvoltage occurs is described;
inquiring historical operation data of the dry-type transformer, counting the overvoltage and the overvoltage times in the past operation process, and determining an overvoltage correction coefficient F according to the data in the table 8331Wherein, U is the maximum value of the current overvoltage of the dry-type transformer, UNRated voltage of the operation grade of the dry-type transformer;
TABLE 8 overvoltage correction factor
Figure GDA0002910654510000132
Figure GDA0002910654510000141
Step 4.3.2, determining the correction factor F for overload332
When the dry-type transformer is overloaded for a long time, the aging process of insulation can be accelerated, even breakdown accidents are caused, and the service life and the reliability of the transformer are seriously influenced. Using an overload factor F332The damage degree of the dry-type transformer to the insulation thereof when the dry-type transformer generates the overload phenomenon is described;
counting the degree and times of overload in the past operation process, and determining an overload correction coefficient F according to the data in the table 9332Wherein K is a load factor;
TABLE 9 correction factor for overload
Figure GDA0002910654510000142
Step 4.3.3, determining a near zone short circuit correction coefficient F333
Counting the short circuit in near zone in past operation process, and determining the correction coefficient F of short circuit in near zone according to the data in Table 10333；
TABLE 10 correction factor for short-circuit in near zone F333
Figure GDA0002910654510000143
Step 4.3.4, calculating the bad condition correction factor F33
Bad working condition correction coefficient F of dry type transformer33And F331、F332、F333Are closely related, so the bad condition correction coefficient F33Calculated according to the following formula:
F33＝F331×F332×F333 (16)
step 4.4, calculating a correction coefficient F of the third-level evaluation model of the dry-type transformer3
Correction coefficient F of third-stage evaluation model of dry-type transformer3Calculated according to the following formula:
F3＝F31×F32×F33 (17)
step 5, calculating the health index HI of the first-level evaluation model according to the step 2-41Second-order evaluation model health index HI2And the correction coefficient F of the third-level evaluation model3Calculating a health index HI of the dry-type transformer;
calculating the health index HI of the dry-type transformer according to the following formula
HI＝F3×(ω1HI1+ω2HI2) (18)
In the formula of omega1Corresponding weight, omega, for the first-stage evaluation model health index of the dry-type transformer2Corresponding weight, omega, for the second-stage evaluation model health index of the dry-type transformer1，ω2The values of (A) are respectively 0.4 and 0.6. The setting of the coefficients is set according to expert experience, and corresponding correction can be carried out according to the actual operation condition of the transformer.
The present invention has been described in detail with reference to the drawings and examples, but the present invention is not limited to the examples, and various changes can be made within the knowledge of those skilled in the art without departing from the spirit of the present invention. The prior art can be adopted in the content which is not described in detail in the invention.

Claims (1)

1. A health condition evaluation method of a dry type transformer based on a three-level evaluation model is characterized by comprising the following steps: the method comprises the following steps:
step 1, collecting key parameter data, insulation state quantity data and reliability parameter data of a dry type transformer in the operation condition of the dry type transformer;
step 2, calculating the health index HI of the first-level evaluation model according to the key parameter data in the operation condition of the dry-type transformer collected in the step 11；
Step 3, calculating the health index HI of the second-level evaluation model according to the insulation state quantity data of the dry-type transformer collected in the step 12；
Step 4, calculating a correction coefficient F of a third-level evaluation model according to the reliability parameter data of the dry-type transformer acquired in the step 13；
Step 5, calculating the health index HI of the first-level evaluation model according to the step 2-41Second-order evaluation model health index HI2And the correction coefficient F of the third-level evaluation model3Dry type of calculationThe health index HI of the transformer;
the step 2 comprises the following steps:
step 2.1, determining an environmental coefficient correction factor f of the dry type transformere；
Step 2.2, determining a load level correction factor f of the dry type transformerl；
Step 2.3, calculating the insulation life loss T of the dry-type transformerins；
Step 2.4, calculating the actual service life T 'of the dry type transformer'end；
Step 2.5, calculating the initial aging coefficient B of the dry type transformera0；
Step 2.6, calculating the health index HI of the first-stage evaluation model of the dry-type transformer1；
Actual service life T 'in step 2.4'endThe calculation formula of (2) is as follows:
Figure FDA0003474411560000011
in the formula TendDesigning the service life of the dry-type transformer for delivery;
initial aging factor B in step 2.5a0The calculation formula of (2) is as follows:
Figure FDA0003474411560000021
the step 3 comprises the following steps:
step 3.1, calculating hot spot temperature health index HI of dry type transformer21；
Step 3.2, calculating the electric index health index HI of the dry-type transformer22；
Step 3.3, calculating the health index HI of the second-stage evaluation model of the dry-type transformer2；
The hotspot temperature health index HI in said step 3.121The calculation formula of (a) is as follows:
Figure FDA0003474411560000022
L％＝FEQA×24×100
Figure FDA0003474411560000023
in the formula,. DELTA.tnIs a time interval, FinsAt Δ tnInternal insulation aging factor, FEQAIs a dry type transformer
Figure FDA0003474411560000024
The equivalent unit hour insulation aging factor;
l% is the number of days, namely the life loss rate within 24 h;
N＝T1-T0，T1for the current operating year, T, of the dry-type transformer0The year of operation of the dry-type transformer;
the step 4 comprises the following steps:
step 4.1, calculating group component state correction coefficient F31；
Step 4.2, calculating the family defect correction coefficient F32；
Step 4.3, calculating the correction coefficient F of the bad working condition33；
Step 4.4, calculating a correction coefficient F of the third-level evaluation model of the dry-type transformer3；
The first-stage evaluation model of the dry-type transformer in the step 2.6 is as follows:
Figure FDA0003474411560000031
HI in the formula1Is the health index, T, of the first-order evaluation model0For the year of operation of the dry-type transformer, T1For the current operating year, HI, of the dry-type transformer0Is T0A year-corresponding dry-type transformer health index;
the second-stage evaluation model of the dry-type transformer in the step 3.3 is as follows:
HI2＝w1HI21+w2HI22，
HI in the formula21Is hot spot temperature health index, HI, of dry-type transformer22Is an electrical index health index, w, of the dry-type transformer1、w2Respectively taking 0.4 and 0.6 corresponding to the weight occupied by the hot spot temperature state quantity and the electric index state quantity;
the correction coefficient F of the third-level evaluation model of the dry type transformer in the step 4.43The calculation formula of (2) is as follows:
F3＝F31×F32×F33；
the calculation formula of the health index HI of the dry-type transformer in the step 5 is as follows:
HI＝F3×(ω1HI1+ω2HI2)，
in the formula of omega1Corresponding weight, omega, for the first-stage evaluation model health index of the dry-type transformer2And evaluating the corresponding weight of the model health index for the second stage of the dry-type transformer.
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