CN110568301B - Detection mode prejudging method based on effective detection rate of transformer state quantity - Google Patents
Detection mode prejudging method based on effective detection rate of transformer state quantity Download PDFInfo
- Publication number
- CN110568301B CN110568301B CN201910870511.1A CN201910870511A CN110568301B CN 110568301 B CN110568301 B CN 110568301B CN 201910870511 A CN201910870511 A CN 201910870511A CN 110568301 B CN110568301 B CN 110568301B
- Authority
- CN
- China
- Prior art keywords
- detection
- transformer
- state quantity
- state
- power
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
- 238000001514 detection method Methods 0.000 title claims abstract description 172
- 238000000034 method Methods 0.000 title claims abstract description 53
- 238000004804 winding Methods 0.000 claims abstract description 39
- 230000007547 defect Effects 0.000 claims abstract description 36
- 238000009666 routine test Methods 0.000 claims abstract description 31
- 238000012216 screening Methods 0.000 claims abstract description 4
- 238000012360 testing method Methods 0.000 claims description 51
- 238000009413 insulation Methods 0.000 claims description 47
- 238000007689 inspection Methods 0.000 claims description 45
- 238000012544 monitoring process Methods 0.000 claims description 31
- 238000005516 engineering process Methods 0.000 claims description 27
- XEEYBQQBJWHFJM-UHFFFAOYSA-N Iron Chemical group [Fe] XEEYBQQBJWHFJM-UHFFFAOYSA-N 0.000 claims description 14
- 238000004868 gas analysis Methods 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 claims description 11
- 238000009529 body temperature measurement Methods 0.000 claims description 8
- 238000011156 evaluation Methods 0.000 claims description 7
- 238000010521 absorption reaction Methods 0.000 claims description 6
- 230000010287 polarization Effects 0.000 claims description 6
- 230000009471 action Effects 0.000 claims description 4
- 238000004587 chromatography analysis Methods 0.000 claims description 3
- 238000001931 thermography Methods 0.000 claims description 3
- 230000001502 supplementing effect Effects 0.000 claims 1
- 238000012423 maintenance Methods 0.000 description 17
- 230000002159 abnormal effect Effects 0.000 description 11
- 238000001816 cooling Methods 0.000 description 7
- 238000005457 optimization Methods 0.000 description 7
- 238000011161 development Methods 0.000 description 6
- 230000008859 change Effects 0.000 description 5
- 230000008901 benefit Effects 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 4
- 230000033228 biological regulation Effects 0.000 description 3
- 230000015556 catabolic process Effects 0.000 description 3
- 230000007246 mechanism Effects 0.000 description 3
- 238000013021 overheating Methods 0.000 description 3
- 230000009467 reduction Effects 0.000 description 3
- 238000004364 calculation method Methods 0.000 description 2
- 238000010276 construction Methods 0.000 description 2
- 230000006378 damage Effects 0.000 description 2
- 238000006731 degradation reaction Methods 0.000 description 2
- 230000036541 health Effects 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 239000002184 metal Substances 0.000 description 2
- 229910052751 metal Inorganic materials 0.000 description 2
- 229910052573 porcelain Inorganic materials 0.000 description 2
- 208000027418 Wounds and injury Diseases 0.000 description 1
- 238000002679 ablation Methods 0.000 description 1
- 230000005856 abnormality Effects 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 239000003990 capacitor Substances 0.000 description 1
- 239000012792 core layer Substances 0.000 description 1
- 238000007405 data analysis Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000003745 diagnosis Methods 0.000 description 1
- 238000002405 diagnostic procedure Methods 0.000 description 1
- 230000005684 electric field Effects 0.000 description 1
- 230000002349 favourable effect Effects 0.000 description 1
- 230000017525 heat dissipation Effects 0.000 description 1
- 238000010438 heat treatment Methods 0.000 description 1
- 238000003384 imaging method Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 208000014674 injury Diseases 0.000 description 1
- 239000012212 insulator Substances 0.000 description 1
- 238000009421 internal insulation Methods 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 230000000737 periodic effect Effects 0.000 description 1
- 230000008569 process Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 230000035945 sensitivity Effects 0.000 description 1
- 239000007787 solid Substances 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000010998 test method Methods 0.000 description 1
- 230000007704 transition Effects 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- XLYOFNOQVPJJNP-UHFFFAOYSA-N water Substances O XLYOFNOQVPJJNP-UHFFFAOYSA-N 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01D—MEASURING NOT SPECIALLY ADAPTED FOR A SPECIFIC VARIABLE; ARRANGEMENTS FOR MEASURING TWO OR MORE VARIABLES NOT COVERED IN A SINGLE OTHER SUBCLASS; TARIFF METERING APPARATUS; MEASURING OR TESTING NOT OTHERWISE PROVIDED FOR
- G01D21/00—Measuring or testing not otherwise provided for
- G01D21/02—Measuring two or more variables by means not covered by a single other subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
- G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
- G01R27/025—Measuring very high resistances, e.g. isolation resistances, i.e. megohm-meters
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
- G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
- G01R27/26—Measuring inductance or capacitance; Measuring quality factor, e.g. by using the resonance method; Measuring loss factor; Measuring dielectric constants ; Measuring impedance or related variables
- G01R27/2605—Measuring capacitance
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R27/00—Arrangements for measuring resistance, reactance, impedance, or electric characteristics derived therefrom
- G01R27/02—Measuring real or complex resistance, reactance, impedance, or other two-pole characteristics derived therefrom, e.g. time constant
- G01R27/26—Measuring inductance or capacitance; Measuring quality factor, e.g. by using the resonance method; Measuring loss factor; Measuring dielectric constants ; Measuring impedance or related variables
- G01R27/2688—Measuring quality factor or dielectric loss, e.g. loss angle, or power factor
- G01R27/2694—Measuring dielectric loss, e.g. loss angle, loss factor or power factor
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Housings And Mounting Of Transformers (AREA)
- Testing Relating To Insulation (AREA)
- Testing Electric Properties And Detecting Electric Faults (AREA)
Abstract
The invention discloses a detection mode prejudging method based on the effective detectable rate of transformer state quantity, which comprises the following steps: 1) identifying defects of main equipment on the transformer and state quantities corresponding to the faults, and counting and calculating effective detection efficiency of the defects of the transformer and the state quantities corresponding to the faults within N years; 2) screening the state quantity with the effective detection efficiency value larger than the threshold value X to obtain M key attention state quantities; 3) analyzing M key attention state quantities item by item, judging whether the state quantity obtained by the power failure routine test is one of the key state quantities, if so, selecting a non-power failure detection method to replace detection; 4) if the current is not one of the key state quantities, judging whether the current is the winding direct-current resistance of the gas relay or the transformer main body, if so, maintaining a power failure routine test, and if so, selecting a partial non-power-off detection method for replacement detection. The invention reduces the blind detection rate and solves the problem of overhauled and tried detection.
Description
Technical Field
The invention relates to a detection mode prejudging method based on the effective detection rate of a transformer state quantity, and belongs to the technical field of transformer differential detection control.
Background
With the continuous expansion of the scale of the power grid, the equipment loading amount is increased at a high speed, the state maintenance work based on the routine power failure test is difficult to meet the requirement of the power grid development, and the state maintenance mode of the power grid equipment needs to be changed urgently. Meanwhile, the detection technology of the power equipment has been developed greatly in the last decade, and the detection technology without power outage, such as live detection, on-line monitoring and the like, tends to be mature and is widely used in the power grid. Under the background, the national grid company starts research and exploration based on the state maintenance work of the uninterrupted power detection technology by combining the characteristics of the future intelligent power grid and the intelligent operation and inspection requirements. Therefore, by constructing and continuously perfecting a state maintenance working system based on the uninterrupted power supply detection technology and applying new technologies such as mobile interconnection, artificial intelligence and big data analysis, informatization and intelligentization level improvement of the traditional operation and inspection technology is promoted, equipment defect hidden danger discovery capability and intelligent diagnosis decision level are comprehensively improved, equipment maintenance scientificity, pertinence and effectiveness are improved, power supply outage field operation risk and operation and maintenance cost are reduced, essential safety of equipment and safe and stable operation of a large power grid are guaranteed, and a solid foundation is laid for companies to accelerate creation of world first-class energy Internet enterprises with global competitiveness.
The power transformer (reactor) is exactly the core equipment of the intelligent power grid, and the safe and stable operation of the power transformer is related to the safe and stable operation of the whole intelligent power grid. The power transformer (reactor) has more state parameters representing the quality of the running state, more detection means, different defects and different fault detection rates of various detection modes, and the effectiveness problem needs to be solved urgently. Meanwhile, the optimization work of each state parameter is less researched, so that the problems of overhauling and over-testing are often serious, and on one hand, the method forms a great contradiction with the overhauling capability of the current front-line personnel; on the other hand, a state maintenance system mainly based on a power failure test is not suitable for the requirement of the current equipment development, so that a large amount of equipment fails due to maintenance. Therefore, the proposed state maintenance management system based on the uninterrupted power detection technology is the only way to solve the current problems, and the optimization of the state parameters of the power transformer (reactor) and the alternative method of the power failure test are important.
Disclosure of Invention
The invention aims to provide a detection mode prejudging method based on the effective detection rate of the transformer state quantity.
In order to solve the technical problems, the invention adopts the following technical scheme:
a detection mode prejudging method based on the effective detectable rate of the state quantity of a transformer comprises the following steps:
and 4, if the state quantity acquired through the power failure routine test does not belong to one of the key state quantities, judging whether the state quantity is the winding direct-current resistance of the gas relay or the transformer main body, if the state quantity is the winding direct-current resistance of the gas relay, maintaining the power failure routine test, and if the state quantity is the winding direct-current resistance of the transformer main body, enabling a selected part of the state quantity to be subjected to replacement detection by a non-power-failure detection method.
Further, the key state quantities include winding dielectric loss and capacitance of the transformer body, winding insulation resistance, absorption ratio or polarization index of the transformer body, iron core insulation resistance of the transformer body, bushing dielectric loss and capacitance, bushing insulation resistance, a tap changer limiting device and on-load tap changer operating characteristics.
Further, in step 3, when the key state quantity is the winding dielectric loss and the capacitance of the transformer body, the uninterrupted power supply detection method is to select dissolved gas analysis in the transformer body oil or select deformation live detection of the oil-immersed transformer winding.
Further, in step 3, when the key state quantity is the winding insulation resistance, the absorption ratio or the polarization index of the transformer body, the uninterrupted power supply detection method is to select dissolved gas analysis in the transformer body oil.
Further, in step 3, when the key state quantity is the iron core insulation resistance of the transformer body, the uninterrupted power supply detection method is to select dissolved gas analysis in the transformer body oil or iron core grounding current detection.
Furthermore, in step 3, when the key state quantity is the bushing dielectric loss and capacitance, the uninterrupted power supply detection method is to select to detect the bushing relative dielectric loss and capacitance.
Further, in step 3, when the key state quantity is the insulation resistance of the sleeve, the uninterrupted power supply detection method is to select to perform infrared temperature measurement detection, high-frequency partial discharge detection or sleeve relative dielectric loss and capacitance detection.
Furthermore, the detection of the relative dielectric loss and capacitance of the sleeve firstly needs to technically modify the transformer sleeve, so that the sleeve is led out below a tail screen and has test conditions. A testing device is required to be installed to realize online monitoring or live detection.
Further, in step 3, when the key state quantity is a tap changer limiting device, the uninterrupted power supply detection method is to select to carry out on-load tap changer live detection.
Further, in step 3, when the key state quantity is the on-load tap-changer action characteristic, the uninterrupted power supply detection method is to select to carry out on-load tap-changer live detection.
Further, in step 4, when the state quantity which needs to be obtained through the power outage routine test is the winding direct-current resistance of the transformer main body, part of the non-power-outage detection methods select to perform dissolved gas analysis in the transformer body oil.
The partial uninterrupted power detection method comprises the step that faults such as poor contact of an electric loop, turn-to-turn short circuit, wire short circuit and the like can be found through winding resistance. Poor external contact can be replaced by an infrared temperature measurement technology; local overheating or local discharge can be caused by turn-to-turn short circuit, lead short circuit and the like in the oil-immersed power transformer (reactor) body, and the detection can be realized by utilizing analysis of dissolved gas in oil and live detection of the local discharge. Therefore, part of defects discovered by the test can be replaced by comprehensive analysis results of charged detection technologies such as dissolved gas analysis in oil, infrared thermography detection, partial discharge charged detection and vibration test, but part of slight defects cannot be replaced without causing standard exceeding of oil chromatography or partial discharge.
The invention has the following beneficial effects:
after the implementation of the alternative method, the blind detection rate of the oil-immersed power transformer (reactor) is greatly reduced. After the power failure routine test is cancelled, huge economic benefits can be directly generated every year, a large amount of man-hour workload is saved, and misoperation and personnel injury risks in the power failure test can be reduced. The method integrates the blind detection rate change of the oil immersed power transformer (reactor) and the safety and the economic benefit of the maintenance work of the oil immersed power transformer (reactor), and creates favorable conditions for developing the state maintenance based on the uninterrupted power detection of the subsequent oil immersed power transformer (reactor).
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below, and it is obvious that the drawings in the following description are some embodiments of the present invention, and other drawings can be obtained by those skilled in the art without creative efforts.
Fig. 1 is a comparison table of effective detection efficiency corresponding to each state quantity obtained through inspection or monitoring.
Fig. 2 is a comparison table of effective detection efficiency corresponding to each state quantity obtained by a power-off routine test.
Fig. 3 is a comparison table of effective detection efficiency corresponding to each state quantity obtained by live detection or online monitoring.
Fig. 4 is a comparison table of effective detection efficiencies corresponding to state quantities in which the degree of interest is selected as the main concern according to the effective detection efficiency.
Fig. 5 is a further preferred list of 25 state quantities that have a high impact on the safe operation of the device.
Fig. 6 is a table listing 25 state quantities and their corresponding transformer equipment monitoring methods and alternatives.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention will be described in detail and fully with reference to the accompanying drawings 1-6 and the following detailed description.
As shown in fig. 1 to 6, the present embodiment relates to a detection mode prejudging method based on an effective detection rate of a transformer state quantity, and aims to provide a power transformer (reactor) state parameter optimization and power failure test alternative method for meeting the construction requirements of equipment management and non-power-outage detection technology state maintenance management, so as to implement an alternative scheme of a power failure test of a power transformer (reactor), and meet the requirements of new state maintenance system construction.
The method specifically comprises the following steps:
The transformer equipment monitoring method comprises a method for acquiring state quantity through inspection or monitoring, a method for acquiring state quantity through power failure routine test, and a method for acquiring state quantity through live detection or online monitoring;
the process of obtaining the 21 important attention state quantities is as follows:
when the monitoring method of the transformer equipment is a method for acquiring state quantity through inspection or monitoring, the value of the threshold value X is 1, and the unit is one/ten thousand working hours; for example, as shown in fig. 1, there are 9 effective detection efficiencies around the main state quantities included in the transformer evaluation guide during patrol work, which are more than 1 time/ten thousand hours, and important attention should be paid during patrol, including: the system comprises oil leakage, operating oil temperature, a respirator, a cooling system motor operation and control system, a tap switch operating mechanism and gear indication, a non-electric quantity protection control loop, non-electric quantity protection local indication consistency and the like.
When the monitoring method of the transformer equipment is a method for acquiring state quantity through a power failure routine test, the value of the threshold value X is 0.01, and the unit is one/ten thousand working hours; for example, as shown in fig. 2, the main quantities of state included in the evaluation guidelines surrounding the transformer in the power failure test work have 8 effective detection efficiencies greater than 0.01 times per ten thousand hours, and the tests are focused on the following factors: winding dielectric loss and capacitance, winding insulation resistance, absorption ratio or polarization index, winding direct current resistance, core insulation, bushing dielectric loss and capacitance, bushing insulation resistance, analysis of dissolved gas in bushing oil, and on-load switch operating characteristics.
When the monitoring method of the transformer equipment is a method for acquiring state quantity through live detection or online monitoring, the value of the threshold value X is 0.2, and the unit is one/ten thousand working hours; for example, as shown in fig. 3, the main quantities of state included in the evaluation leads surrounding the oil-immersed power transformer (reactor) in the live detection work have 4 detection efficiencies of more than 0.2 times per ten thousand hours, and the tests are focused on routine detection of insulating oil, analysis of dissolved gas in oil, infrared temperature measurement and detection of core grounding current.
By respectively calculating the inspection efficiency, the inspection efficiency and the live detection efficiency, the inspection efficiency is highest, and the inspection efficiency and the live detection efficiency are lowest. Through the analysis of the overall detection effectiveness of the transformer, according to the state quantity optimization result, the overall state quantity detection rate obtained by analyzing the defect conditions found in inspection, power failure test and live detection in the last 10 years is shown in table 4, and is 21 important state quantities.
The effective defect ratio of the 21 important concerned state quantities in the existing 64 state quantities in the evaluation guide rule of the oil-immersed power transformer (reactor) is 85.48 percent; in addition, 4 state quantities with high influence degree on the safe operation of the equipment are supplemented according to expert experience, the detected defect quantity of the 25 state quantities obtained after further optimization accounts for 93% of all 4681 defects, and the 25 state quantities obtained through further optimization can comprehensively reflect the operation state of the equipment of the oil-immersed power transformer (reactor); as shown in fig. 5, the 25 state quantities include 12 body state quantities, 3 sleeve state quantities, 2 cooling system state quantities, 5 tap changer state quantities, and 3 non-battery protection state quantities;
and 4, if the state quantity acquired through the power failure routine test does not belong to one of the key state quantities, judging whether the state quantity is the winding direct-current resistance of the gas relay or the transformer main body, if the state quantity is the winding direct-current resistance of the gas relay, maintaining the power failure routine test, and if the state quantity is the winding direct-current resistance of the transformer main body, enabling a selected part of the state quantity to be subjected to replacement detection by a non-power-failure detection method.
The method for replacing the power failure routine test project comprises the following steps:
through carrying out item-by-item analysis on 25 state quantity acquisition modes and alternative modes, a corresponding alternative method is provided for a power failure item which can be replaced by the uninterrupted power detection. Table 6 shows 25 state quantity acquisition methods and alternatives of the oil-immersed power transformer (reactor). Of the 25 state quantities, 9 items are acquired through patrol or monitoring, 5 items are acquired through live detection or online monitoring, and 11 items are acquired through a power failure routine test.
In the condition maintenance test procedure, 10 power failure routine test items correspond to the 11 state quantities, wherein 8 test items can be completely replaced by a power failure detection technology, a test item of 1 winding direct current resistance can be partially replaced by the power failure detection technology, and a test item of 1 gas relay inspection cannot be replaced. Partial replacement projects and non-replaceable projects can be combined with power failure maintenance and professional related work protection.
At present, the routine power failure test items of an oil-immersed power transformer (reactor) in the state overhaul test regulations of power grid equipment are 10 items, namely winding resistance, sleeve insulation resistance, sleeve capacitance, dielectric loss factor, iron core insulation resistance, winding insulation dielectric loss factor, on-load tap-changer inspection, temperature measuring devices, gas relay inspection, cooling device inspection, pressure release device inspection and the like. The alternatives of the power failure routine test items are analyzed below.
The state quantities for complete replacement of the routine power failure test are as follows:
(1) bushing insulation resistance
The insulation resistance of the sleeve can find the defects of crack of the sleeve porcelain bushing, serious damp of the sleeve body, insulation degradation of a tail screen and the like. The reduction of the insulation resistance of the sleeve shows that the main insulation inside the sleeve is affected with damp or deteriorated, the main insulation is accompanied with the increase of the dielectric loss factor or local heating, and partial discharge can be possibly caused when the main insulation is serious, so that the sleeve can be replaced by an electrified detection technology such as infrared temperature measurement, relative dielectric loss factor and capacitance detection, high-frequency partial discharge test and the like;
(2) bushing capacitance and dielectric loss factor
The capacitance and dielectric loss factor test of the sleeve can find the faults of damp insulation degradation of the sleeve, local breakdown of a capacitor core layer, end screen disconnection, poor contact and the like. The technology can be replaced by electrified detection technologies such as relative dielectric loss factor and capacitance detection, high-frequency partial discharge test, infrared temperature measurement and the like;
(3) iron core insulation resistor
The iron core insulation resistance test can find faults such as iron core multipoint grounding, iron core insulation piece insulation performance reduction and the like. The iron core insulation defect can cause local overheating inside, so that dissolved gas in oil is increased, and the iron core grounding current can be increased, so that the iron core and clamp grounding current monitoring, dissolved gas analysis in oil and other charged detection technologies are used for replacing the iron core and clamp grounding current monitoring;
(4) winding insulation resistance
The method has the advantages that the insulation resistance, the absorption ratio and the polarization index of the oil immersed power transformer (reactor) are measured, the sensitivity for detecting the overall insulation condition of the oil immersed power transformer (reactor) is high, and the defects of overall insulation damp, component surface damp or dirt and penetrability of the oil immersed power transformer (reactor) can be effectively detected. When the deteriorated insulation penetrates between the two electrodes, the insulation resistance is measured to be obviously reduced, and if the insulation has only local defects and the good insulation is still kept between the two electrodes, the insulation resistance is reduced little or even does not change, so that the local defects of the insulation cannot be checked when the insulation resistance is measured. The test can be replaced by the analysis of dissolved gas in oil and the partial discharge charged detection technology;
(5) dielectric loss factor of winding insulation
The loss factor measurement of the winding insulation medium can find the defects of the insulation whole body of the oil immersed power transformer (reactor), the surface of a component is wetted or polluted, the centralized defects of penetrability and the like, wherein the centralized defects of the penetrability comprise breakage of a porcelain insulator, grounding of a lead-out wire, metal grounding in a transformer body and the like. The increase of the overall dielectric loss of the winding is mainly caused by the deterioration of the internal insulation or the damp, partial discharge can also occur in a severely damped area under the action of an internal strong electric field, and dissolved gas in insulating oil can be increased, so that the partial discharge can be replaced by technologies such as dissolved gas analysis in oil, oil micro-water and oil voltage resistance of an oil immersed power transformer (reactor), oil dielectric loss test, ultrasonic partial discharge detection, high-frequency partial discharge live detection and the like. The increase of winding dielectric loss caused by dirt or moisture on the surface of the component can be replaced by an ultraviolet imaging technology;
(6) on-load tap changer inspection
Routine inspection of the on-load tap-changer mainly comprises inspection of an oil conservator and a respirator, inspection of an electric mechanism box, inspection of an emergency stop function and a limiting device, an action characteristic test, an oil quality test and the like. The on-load tap-changer inspection can find the faults of looseness of the contact of the internal component, deformation of metal parts, breakage or damage of transition resistors, arc ablation on the surface of the switching contact, mechanical faults of a transmission mechanism, faults of a motor and a control circuit, failure of a limiting device and the like. The project can be replaced by the live detection technology of the on-load tap-changer;
(7) inspection of cooling device
The routine inspection of the cooling device mainly comprises the motor operation condition, the power supply operation condition and the presence or absence of abnormality of device components, and the abnormal defect of the cooling device can be found. Defects caused by poor heat dissipation of the cooling device can be discovered by an infrared temperature measurement technology, and other inspections can be discovered by operation inspection;
(8) pressure relief device inspection
The routine inspection of the pressure relief device mainly comprises appearance inspection and opening pressure inspection, and is carried out during disassembly maintenance without periodic requirements, so that the routine inspection can be carried out before the commissioning of new equipment and after the disassembly maintenance.
The state quantities for the partial replacement routine power failure test are as follows:
(1) winding resistor
The winding resistance can find faults such as poor contact of an electric loop, turn-to-turn short circuit, wire short circuit and the like. Poor external contact can be replaced by an infrared temperature measurement technology; local overheating or local discharge can be caused by turn-to-turn short circuit, lead short circuit and the like in the oil-immersed power transformer (reactor) body, and the detection can be realized by utilizing analysis of dissolved gas in oil and live detection of the local discharge. Therefore, part of defects discovered by the test can be replaced by comprehensive analysis results of charged detection technologies such as dissolved gas analysis in oil, infrared thermography detection, partial discharge charged detection and vibration test, but part of slight defects cannot be replaced without causing standard exceeding of oil chromatography or partial discharge.
The state quantities that cannot be substituted for the routine power failure test are as follows:
(1) gas relay inspection
The items related to power failure in routine inspection of the gas relay mainly comprise appearance inspection, setting value verification and secondary circuit insulation resistance measurement, and defects such as oil leakage, incorrect setting value and unqualified secondary circuit insulation resistance can be found. Currently, no uninterruptible detection technology is available to replace, and can be used as a diagnostic test.
The two items of detection of the resistance of the partially replaceable winding and the inspection of the irreplaceable gas relay are statistically shown to be extremely low in defect rate and failure rate and small in safety risk. In order to reduce the security risk brought by executing the detection strategy without power outage, two strategies are adopted:
firstly, a proportional spot check strategy is adopted, the principle of full coverage of manufacturers, equipment types, manufacturing times and manufacturing processes is followed every year, and power failure routine test spot check is carried out on equipment adjacent to or in a normal test period (6 years) according to the proportion of not less than 10%, and the health state and the change trend of the equipment of the same type are judged in an auxiliary mode. When power failure test data are abnormal or the abnormal development trend is obvious in spot check, further improving the spot check proportion until the abnormal reason and the abnormal equipment range of the equipment are confirmed; if the power failure test spot check data is normal and has no abnormal development trend, other similar equipment still executes the uninterrupted power detection strategy.
And secondly, a power failure follow-up inspection strategy is adopted, namely once the accompanying and stopping opportunity is met, the power failure follow-up inspection strategy is combined with power failure to develop an irreplaceable or partially substitutable project.
In conclusion, 25 state quantity acquisition modes are obtained, 9 items are acquired through patrol or monitoring, 5 items are acquired through live detection or online monitoring, and 11 items are acquired through a power failure routine test. The state quantity obtained by the power failure routine test of 11 items relates to 10 power failure test items, 8 items in the 10 power failure tests can be completely replaced by live detection, 1 item can be partially replaced, and 1 item cannot be replaced. For two items of winding resistance detection which can be partially replaced and gas relay inspection which cannot be replaced, the equipment state can be indirectly mastered through means of proportional sampling inspection, round inspection and the like, and the safety risk can be effectively reduced.
The technical innovation of the invention also comprises:
the two items of detection of the resistance of the partially replaceable winding and the inspection of the irreplaceable gas relay are statistically shown to be extremely low in defect rate and failure rate and small in safety risk. In order to reduce the security risk brought by executing the detection strategy without power outage, two strategies are adopted: firstly, a proportional spot check strategy is adopted, the principle of full coverage of manufacturers, equipment types, manufacturing times and manufacturing processes is followed every year, and power failure routine test spot check is carried out on equipment adjacent to or in a normal test period (6 years) according to the proportion of not less than 10%, and the health state and the change trend of the equipment of the same type are judged in an auxiliary mode. When power failure test data are abnormal or the abnormal development trend is obvious in spot check, further improving the spot check proportion until the abnormal reason and the abnormal equipment range of the equipment are confirmed; if the power failure test spot check data is normal and has no abnormal development trend, other similar equipment still executes the uninterrupted power detection strategy. And secondly, a power failure follow-up inspection strategy is adopted, namely once the accompanying and stopping opportunity is met, the power failure follow-up inspection strategy is combined with power failure to develop an irreplaceable or partially substitutable project.
The optimization of the transformer state quantity is also an innovation, and is a result of comprehensive judgment based on data statistics and analysis.
After the uninterrupted power detection technology is used for effectively replacing power failure detection, the running state of the equipment is effectively controlled, the blind detection rate of the equipment is reduced, the over-repair test problem is fundamentally solved, and the effective detectable rate of equipment defects and faults is greatly improved. The method is mainly characterized in that after the power failure test means is effectively replaced by the uninterrupted power supply detection means, almost most of power failure tests can be replaced by the uninterrupted power supply detection technology, the number of blind detection events of a blind detection rate calculation formula is greatly reduced, meanwhile, the number of the blind detection events is increased due to the fact that part of the power failure tests which cannot be replaced can be increased, but the number of the blind detection events is smaller than the number of the blind detection events, so that the number change of the blind detection rate can be influenced on the whole, and the number of the blind detection events is certainly changed towards the reduction direction.
Finally, it should be noted that: the above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (10)
1. A detection mode prejudging method based on the effective detection rate of the state quantity of a transformer is characterized by comprising the following steps:
step 1, identifying defects and state quantities corresponding to faults of main equipment on a transformer by a transformer equipment monitoring method, and counting and calculating effective detection efficiency of the state quantities corresponding to the defects and the faults on the transformer within N years, wherein N is more than or equal to 2; the transformer equipment monitoring method comprises a method for acquiring state quantity through inspection or monitoring, a method for acquiring state quantity through power failure routine test, and a method for acquiring state quantity through live detection or online monitoring;
step 2, screening out the state quantities of which the effective detection efficiency values are larger than a threshold value X according to transformer evaluation guide rules to obtain M key attention state quantities; the threshold value X is different along with different monitoring methods of the transformer equipment;
step 3, analyzing the M key attention state quantities screened in the step 2 item by item according to the state overhaul test rules, and supplementing 4 state quantities with high influence degree on the safe operation of the equipment according to expert experience; judging the state quantity obtained by the power failure routine test, judging whether the state quantity obtained by the power failure routine test is one of the key state quantities, and if the state quantity is one of the key state quantities, enabling the state quantity to select a non-power failure detection method for replacement detection;
step 4, if the state quantity obtained by the power-off routine test does not belong to one of the key state quantities, judging whether the state quantity is the winding direct-current resistance of the gas relay or the transformer main body, if the state quantity is the winding direct-current resistance of the gas relay, maintaining the power-off routine test, if the state quantity is the winding direct-current resistance of the transformer main body, enabling a selected part of the state quantity to carry out replacement detection by a non-power-off detection method,
the partial non-power-off detection method for replacement detection means that partial defects found in the test can be partially replaced by comprehensive analysis results of charged detection technologies such as dissolved gas analysis in oil, infrared thermography detection, partial discharge charged detection and vibration test, but partial slight defects cannot be replaced if oil chromatography exceeds standard or partial discharge is generated.
2. The method for predicting the detection mode based on the effective detection rate of the state quantity of the transformer as claimed in claim 1, wherein in the step 3, when the key state quantity is the winding dielectric loss and the electric capacity of the transformer body, the uninterrupted detection method is to select dissolved gas analysis in oil of the transformer body or select deformation live detection of the winding of the oil-immersed transformer.
3. The method for predicting the detection mode based on the effective detection rate of the transformer state quantity according to claim 1, wherein in the step 3, when the key state quantity is the winding insulation resistance, the absorption ratio or the polarization index of the transformer body, the uninterrupted detection method is to select dissolved gas analysis in the transformer body oil.
4. The method for predicting the detection mode according to claim 1, wherein in step 3, when the key state quantity is the insulation resistance of the iron core of the transformer body, the uninterrupted detection method is to select dissolved gas analysis in the oil of the transformer body or iron core grounding current detection.
5. The method as claimed in claim 1, wherein in step 3, when the critical state quantity is bushing dielectric loss and capacitance, the uninterrupted detection method is to select bushing relative dielectric loss and capacitance detection.
6. The method for predicting the detection mode according to claim 1, wherein in step 3, when the key state quantity is the insulation resistance of the bushing, the uninterrupted detection method is to select infrared temperature measurement detection, high-frequency partial discharge detection or bushing relative dielectric loss and capacitance detection.
7. The method for prejudging the detection mode based on the effective detection rate of the transformer state quantity according to claim 1, wherein in the step 3, when the key state quantity is a tap switch limiting device, the uninterrupted detection method is to select to carry out live detection on the on-load tap switch.
8. The method for predicting the detection mode based on the effective detection rate of the transformer state quantity according to claim 1, wherein in the step 3, when the key state quantity is the action characteristic of the on-load tap-changer, the non-power-off detection method is to select to perform the live detection of the on-load tap-changer.
9. The method for predicting the detection mode based on the effective detection rate of the transformer state quantity according to claim 1, wherein in the step 4, when the state quantity which needs to be obtained through the power-off routine test is the winding direct-current resistance of the transformer main body, part of the non-power-off detection method selects to perform dissolved gas analysis in the transformer body oil.
10. The method according to claim 1, wherein the key state variables include winding medium loss and capacitance of the transformer body, winding insulation resistance, absorption ratio or polarization index of the transformer body, core insulation resistance, bushing medium loss and capacitance of the transformer body, bushing insulation resistance, tap changer limit device, and on-load tap changer operation characteristics.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910870511.1A CN110568301B (en) | 2019-09-16 | 2019-09-16 | Detection mode prejudging method based on effective detection rate of transformer state quantity |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910870511.1A CN110568301B (en) | 2019-09-16 | 2019-09-16 | Detection mode prejudging method based on effective detection rate of transformer state quantity |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110568301A CN110568301A (en) | 2019-12-13 |
| CN110568301B true CN110568301B (en) | 2021-08-17 |
Family
ID=68780352
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910870511.1A Active CN110568301B (en) | 2019-09-16 | 2019-09-16 | Detection mode prejudging method based on effective detection rate of transformer state quantity |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110568301B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113112216A (en) * | 2021-03-03 | 2021-07-13 | 广东电网有限责任公司 | Prejudgment analysis method for equipment defects |
| CN113533879B (en) * | 2021-06-11 | 2023-05-16 | 南方电网科学研究院有限责任公司 | GIS equipment detection rate calculation method based on fault simulation test |
| CN114252807B (en) * | 2021-12-24 | 2023-07-14 | 国网湖北省电力有限公司经济技术研究院 | Transformer life prediction method based on life differentiation phenomenon |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104267270A (en) * | 2014-08-06 | 2015-01-07 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Transformer key parameter extraction method based on vector similarity |
| CN105631578A (en) * | 2015-12-10 | 2016-06-01 | 浙江大学 | Risk assessment-orientated modeling method of power transmission and transformation equipment failure probability model |
| CN107122879A (en) * | 2017-03-03 | 2017-09-01 | 广东南方电力通信有限公司 | A kind of State-Oriented Maintenance in Power Grid method based on big data and equipment state tracking extremely |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN100447575C (en) * | 2002-04-03 | 2008-12-31 | Abb技术公开股份有限公司 | Method for identifying abnormal condition in power transformer |
| CN105867346A (en) * | 2016-03-24 | 2016-08-17 | 国家电网公司 | State evaluation and maintenance decision support method for transformer |
| CN105868912B (en) * | 2016-04-06 | 2021-02-12 | 清华大学 | Power transformer state evaluation method and device based on data fusion |
| CN106124902B (en) * | 2016-07-19 | 2019-08-13 | 广西电网有限责任公司电力科学研究院 | A kind of distribution transformer health state evaluation system |
| CN106841941A (en) * | 2017-01-13 | 2017-06-13 | 国家电网公司 | A kind of oil-filled transformer equipment cancels the condition test method of the customary experiment that has a power failure |
| CN107121612A (en) * | 2017-07-14 | 2017-09-01 | 合肥利元杰信息科技有限公司 | A kind of transformer monitoring systems and monitoring method |
| CN111210097A (en) * | 2018-11-05 | 2020-05-29 | 国家电网有限公司 | State maintenance method for power transmission and transformation equipment |
| CN111210025A (en) * | 2018-11-05 | 2020-05-29 | 国家电网有限公司 | Method for calculating blind detection rate for state maintenance of power transmission and transformation equipment |
| CN109711663B (en) * | 2018-11-15 | 2021-03-02 | 国网山东省电力公司淄博供电公司 | Transformer substation oil-immersed transformer state evaluation and correction method and system based on big data analysis |
| CN109740859A (en) * | 2018-12-11 | 2019-05-10 | 国网山东省电力公司淄博供电公司 | Transformer condition evaluation and system based on Principal Component Analysis and support vector machines |
-
2019
- 2019-09-16 CN CN201910870511.1A patent/CN110568301B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104267270A (en) * | 2014-08-06 | 2015-01-07 | 中国南方电网有限责任公司超高压输电公司检修试验中心 | Transformer key parameter extraction method based on vector similarity |
| CN105631578A (en) * | 2015-12-10 | 2016-06-01 | 浙江大学 | Risk assessment-orientated modeling method of power transmission and transformation equipment failure probability model |
| CN107122879A (en) * | 2017-03-03 | 2017-09-01 | 广东南方电力通信有限公司 | A kind of State-Oriented Maintenance in Power Grid method based on big data and equipment state tracking extremely |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110568301A (en) | 2019-12-13 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Murugan et al. | Understanding the power transformer component failures for health index-based maintenance planning in electric utilities | |
| CN110568301B (en) | Detection mode prejudging method based on effective detection rate of transformer state quantity | |
| Jahromi et al. | An approach to power transformer asset management using health index | |
| Murugan et al. | Failure analysis of power transformer for effective maintenance planning in electric utilities | |
| CN103513139A (en) | Power transformer fault intelligent diagnosis technology, method and device | |
| CN104331843A (en) | Transformer fault risk assessment method based on bowknot model | |
| CN110940374A (en) | Transformer health grade evaluation system and method based on big data fusion | |
| Brandtzæg | Health indexing of Norwegian power transformers | |
| CN103234576A (en) | State monitoring system for power devices in intelligent substations | |
| CN113805107A (en) | Overhauling and decommissioning evaluation method for transformer | |
| CN109615557B (en) | Substation equipment maintenance management system | |
| Guy et al. | Transformer asset life extension–When, why and how to apply continuous condition monitoring systems | |
| CN111856170A (en) | Transformer fault diagnosis system based on harmonic method | |
| CN112686408A (en) | Transformer maintenance decision-making method based on multi-source information fusion and risk assessment | |
| Pengfei et al. | The condition assessment of transformer bushing based on fuzzy logic | |
| Lybeck et al. | Online monitoring technical basis and analysis framework for large power transformers; Interim report for FY 2012 | |
| Kwong et al. | Remarkable life cycle management by effective condition monitoring and assessment system of power transformer in CLP power system | |
| JunPing et al. | Health Status Evaluation of Intelligent Power Distribution Room based on AHP-Entropy method | |
| Nazarychev et al. | The Inspection of the Technical State of Critical Infrastructure Facilities | |
| Yanxue et al. | Transformer Fault Diagnosis System Based on Knowledge Node and FMECA | |
| Mihalcea et al. | An integrated probabilistic approach for power transformers availability | |
| Phadungthin et al. | Risk optimization of power transformer tank and accessories: Practical experiences in Thailand | |
| Guo et al. | Transformer Fault Diagnosis System Based on Knowledge Node and FMECA | |
| CN116993318A (en) | Overhauling method and system for substation equipment | |
| Moldoveanu et al. | THE ROMANIAN EXPERIENCE REGARDING THE RISK OF MANAGEMENT IN THE OPERATION AND MAINTENANCE OF LARGE POWER TRANSFORMERS IN HV SUBSTATIONS |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |