CN112257227A - Dielectric modulus fingerprint database based assessment method for insulation state of sleeve - Google Patents
Dielectric modulus fingerprint database based assessment method for insulation state of sleeve Download PDFInfo
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Abstract
The invention relates to the technical field of electrical equipment fault diagnosis, and particularly discloses an assessment method for the insulation state of a bushing based on a dielectric modulus fingerprint database, which comprises the following steps: deducing the complex phase relative dielectric constant to obtain a calculation formula of the dielectric modulus; preparing insulating paperboard samples in different insulating states; testing an insulating paperboard sample to obtain FDS data of the sample; calculating and processing FDS data to obtain dielectric modulus data of the sample; segmenting the frequency domain, and calculating a dielectric modulus data integral factor to obtain a dielectric modulus fingerprint; extracting the direct current conductivity of the insulating oil as an auxiliary fingerprint; establishing a dielectric modulus fingerprint database; and using the fuzzy pattern recognition for comparing the dielectric modulus fingerprint database with the sample data to be detected to obtain the insulation state of the sample to be detected. The invention considers the synergistic effect of moisture and aging on the insulation of the oil paper of the sleeve, and makes diagnosis more convenient and accurate through a multi-sample and intelligent algorithm, so that the operation of the power system is more reliable, safe and stable.
Description
Technical Field
The invention belongs to the technical field of electrical equipment fault diagnosis, and particularly relates to an evaluation method for the insulation state of a bushing based on a dielectric modulus fingerprint database.
Background
Due to the continuous development of economic society in China, the electricity consumption for production and living in China is rapidly increased, and the electric power level in China is also greatly developed. The power bushing is used as the core of a power network, is widely applied to a power system, and meets the important requirements of the economic society on power energy. Since such large power bushings inevitably have faults due to long-time high-load operation, the normal power supply of a certain area may be affected, the voltage of the area is reduced, and even the power system of the area may be broken down. In recent years, the frequency of failures of power transmission and transformation equipment in China is increased, and particularly, the failure frequency of high-voltage and extra-high-voltage bushings in operation is increased. A large body of research data shows that: the main cause of the failure of the power bushing is the reduction of the insulation state of the oil-paper insulation system inside the power bushing. Therefore, it is very important to evaluate the insulation state of the bushing, wherein aging and moisture have the greatest influence on the insulation state, and finding an insulation state evaluation method capable of comprehensively evaluating the joint influence of moisture and aging is the key to solve the problem at the present stage.
Frequency Domain Spectroscopy (FDS) is a novel insulation detection method, and the method comprises the following steps: applying a variable-frequency alternating voltage signal on the insulating material, testing the change rule of the complex capacitance, the complex relative dielectric constant and the dielectric loss factor of the insulating material along with the change of the frequency, and evaluating the insulation condition of the insulating material by analyzing the change rule of the complex capacitance, the complex relative dielectric constant and the dielectric loss factor. However, the FDS curve hardly reflects the true relaxation characteristics of the dielectric material in a low frequency band. In the low frequency region, a portion of the current provided by the test equipment is used to cancel the reverse current generated by the electrode polarization, leaving the current that completes the conductivity polarization to flow through the solid insulation system. Therefore, in the conventional frequency domain dielectric response, the information extracted by the low frequency region is the conductance polarization rather than the relaxation polarization.
Based on the problems, the dielectric modulus is taken as a tool for evaluating the insulation state, has the characteristics of convenience and rapidness of the FDS technology, can completely reflect relaxation information of the dielectric medium in a low frequency band, and is a potential ideal tool.
Disclosure of Invention
The invention aims to provide an assessment method for the insulation state of a bushing based on a dielectric modulus fingerprint database, which avoids the defect that the relaxation information of the low-frequency part of a complex dielectric constant is covered, so that the diagnosis is more convenient and accurate, and the operation of a power system is more reliable, safer and more stable.
In order to achieve the above object, the present invention provides a method for evaluating the insulation state of a bushing based on a dielectric modulus fingerprint database, comprising the following steps:
(1) deducing the complex phase relative dielectric constant to obtain an expression of the calculated dielectric modulus;
(2) preparing insulating paperboard samples in different insulating states, wherein the insulating paperboard samples comprise insulating paperboard samples with water contents of a%, B%, C% and D% and aging times of A day, B day, C day, D day and E day;
(3) respectively testing each insulating paperboard sample in different insulating states by using dielectric response testing equipment, obtaining FDS data, and drawing an FDS curve graph;
(4) calculating and processing the FDS data obtained in the step (3) to obtain the related dielectric modulus data of the insulating paperboard sample;
(5) dividing the frequency domain of the dielectric modulus spectrum into three sections of high frequency, medium frequency and low frequency, and respectively integrating the three sections to obtain a dielectric modulus fingerprint;
(6) extracting the direct current conductivity of the insulating oil as an auxiliary fingerprint; paperboards with different insulation conditions can have the same dielectric modulus curve, in this case, different insulation states cannot be distinguished only through the dielectric modulus, that is, the dielectric parameters related to the paperboards cannot be extracted continuously, so that another characteristic fingerprint parameter needs to be added, and the direct current conductivity of the insulating oil is used as an auxiliary fingerprint parameter;
(7) establishing a dielectric modulus fingerprint database according to the data obtained in the steps (5) and (6);
(8) and evaluating a new sample to be tested, comparing the dielectric modulus fingerprint of the data to be tested with the established dielectric modulus fingerprint database by adopting a fuzzy pattern recognition algorithm, and evaluating the insulation state of the sample to be tested. The fuzzy pattern recognition has the advantages of accuracy, rapidness, low cost and the like.
Preferably, in the method for evaluating the insulation state of the bushing based on the dielectric modulus fingerprint database, in the step (1), a formula for calculating the dielectric modulus is derived according to the fact that the complex dielectric modulus is the reciprocal of the complex relative dielectric constant as follows:
wherein M denotes a complex dielectric modulus, wherein M 'denotes a real part of the dielectric modulus, M "denotes an imaginary part of the dielectric modulus, and ∈ denotes a complex dielectric constant, wherein ∈' denotes a real part of the dielectric constant, and ∈" denotes an imaginary part of the dielectric constant.
Preferably, in the method for evaluating the insulation state of the bushing based on the dielectric modulus fingerprint database, in the step (2), the specific process for preparing the insulation paperboard samples with different insulation states includes:
1) carrying out vacuum drying treatment on the new insulating paperboard under the environment of constant temperature and pressure;
2) placing the insulating oil and the insulating paper board in an environment with constant temperature and pressure intensity for oil immersion treatment;
3) standing for a period of time to obtain an oil-immersed insulating paperboard in an initial state;
4) carrying out moisture absorption treatment on the insulating paper boards, and controlling the moisture absorption content of the insulating paper boards by adopting a precision electronic balance to obtain the insulating paper boards with different water contents;
5) the insulation board samples with different water contents are aged in groups, the temperature of the aging box is set to be constant, each group of insulation boards is aged for A days, B days, C days, D days and E days respectively, and insulation board samples with different water contents and aging days are obtained, namely the insulation board samples in different insulation states.
Preferably, in the method for evaluating the insulation state of the bushing based on the dielectric modulus fingerprint database, in the step (4), the FDS data is calculated and processed, and the calculation formula is as follows:
wherein M 'represents a real part of the dielectric modulus, M' represents an imaginary part of the dielectric modulus, ε 'represents a real part of the dielectric constant, and ε' represents an imaginary part of the dielectric constant; and obtaining the data of the dielectric modulus, and drawing a logarithmic graph by taking the real part and the imaginary part of the obtained dielectric modulus as a vertical axis and the frequency as a horizontal axis respectively so as to better observe the curve characteristics of the dielectric modulus under different insulation states.
Preferably, in the method for evaluating the insulation state of the bushing based on the dielectric modulus fingerprint database, in the step (5), the dielectric modulus characteristic fingerprint is obtained by integrating the dielectric modulus curve, and the dielectric modulus curve is divided into high frequencies a1Hz～b1Hz, intermediate frequency a2Hz～b2Hz, low frequency a3Hz～b3Hz frequency range, respectively integrating to obtain integral factor S1、S2、S3The calculation formula is as follows:
compared with the prior art, the invention has the following beneficial effects:
according to the method, the insulation state of the oil-immersed bushing insulation is evaluated based on the dielectric modulus fingerprint database, the condition that relaxation information of a complex dielectric constant curve of the FDS technology in a low frequency band is covered is considered, the synergistic effect of moisture and aging is considered, and the dielectric modulus technology-based characteristic fingerprint database is adopted to diagnose the state of the bushing insulation more conveniently and accurately. The dielectric modulus-based fingerprint database is applied to evaluating the insulation state of the bushing insulation system, so that the residual service life of the bushing insulation system is judged, the potential risk of the oil-immersed bushing insulation system is found, and an important reference basis is provided for operation maintenance and overhaul of the bushing, so that the power system is operated more reliably, safely and stably.
Drawings
Fig. 1 is a schematic flow chart of a method for evaluating the insulation state of a casing based on a dielectric modulus fingerprint database according to an embodiment of the present invention.
Fig. 2 is a flow chart of the preparation of insulating paperboard samples in different insulating states in an embodiment of the invention.
Fig. 3 is a graph of FDS for samples of insulating paperboard in various states of insulation in an embodiment of the present invention.
Fig. 4 is a schematic diagram of the principle of fuzzy pattern recognition in an embodiment of the present invention.
Detailed Description
The following detailed description of the present invention is provided in conjunction with the accompanying drawings, but it should be understood that the scope of the present invention is not limited to the specific embodiments.
Examples
A method for evaluating the insulation state of a sleeve based on a dielectric modulus fingerprint database mainly comprises the following steps of:
(1) deriving an expression of the complex dielectric modulus according to the relation that the complex relative dielectric constant and the complex dielectric modulus are reciprocal, and further obtaining an expression of a real part and an imaginary part of the dielectric modulus, wherein the expression of the dielectric modulus is as follows:
wherein M denotes a complex dielectric modulus, M 'denotes a real part of the dielectric modulus, M' denotes an imaginary part of the dielectric modulus, ε denotes a complex dielectric constant, ε 'denotes a real part of the dielectric constant, and ε' denotes an imaginary part of the dielectric constant;
(2) the preparation process of the insulating paperboard samples in different insulating states is shown in figure 2, and comprises the following specific steps:
1) carrying out vacuum drying treatment on the new insulating paperboard in an environment with the temperature of 90 ℃ and the pressure of 50 Pa;
2) placing the insulating oil and the vacuum-dried insulating paperboard in an environment with the temperature of 60 ℃ and the pressure of 50Pa for oil immersion treatment;
3) standing for 24 hours, and balancing to obtain an oil-immersed insulating paperboard in an initial state;
4) carrying out moisture absorption treatment on the insulating paper board, and controlling the moisture absorption content of the paper board by using a precision electronic balance to obtain the insulating paper board with the water content of 1%, 2%, 3% and 4% respectively;
5) aging the insulating paper boards with different water contents in groups, setting the temperature of an aging box to be constant, and aging each group of paper boards for 0 day, 1 day, 3 days, 7 days and 15 days respectively to obtain insulating paper board samples with different water contents and aging days, namely insulating paper board samples in different insulating states;
(3) performing frequency domain dielectric response test on the insulating paperboard samples in different insulating states prepared in the step (2) by using dielectric response test equipment to obtain FDS data, and drawing an FDS curve chart as shown in FIG. 3;
(4) calculating and processing the FDS data obtained in the step (3) by adopting a derivation formula in the step (1) to obtain the related dielectric modulus data of the insulating paperboard sample; the calculation formula is as follows:
wherein M denotes a complex dielectric modulus, wherein M 'denotes a real part of the dielectric modulus, M' denotes an imaginary part of the dielectric modulus, ε denotes a complex dielectric constant, wherein ε 'denotes a real part of the dielectric constant, ε' denotes an imaginary part of the dielectric constant;
(5) extracting fingerprint characteristic quantity from dielectric modulus, selecting integral method, dividing frequency domain of dielectric modulus spectrum into high frequency (10)2Hz～103Hz), medium frequency (10)-1Hz～100Hz, low frequency (10)-3Hz-10-2Hz) three segments, respectively integrating the three segments to obtain an integral factor S1、S2、S3Obtaining a dielectric modulus fingerprint; integral factor S1、S2、S3The calculation formula is as follows:
(6) considering that the moisture content and the aging time have complementary effects on the effects of the paper boards, the paper boards in different insulation states can have the same dielectric modulus curve, and therefore, the direct current conductivity of the insulating oil is introduced to serve as an auxiliary fingerprint of a fingerprint database;
(7) summarizing and sorting dielectric modulus fingerprint data and auxiliary fingerprints in different insulation states, and constructing a dielectric modulus fingerprint database;
(8) when the insulation state of a new sample is evaluated, firstly, dielectric modulus fingerprint extraction is carried out on the sample, and the obtained fingerprint data is compared with the established fingerprint database; and (3) judging the closest degree of the new sample to be tested and the sample in the dielectric modulus fingerprint database by using an artificial intelligence algorithm and fuzzy pattern recognition so as to evaluate the insulation state of the new sample to be tested.
And (3) carrying out error analysis on the evaluation result, comparing the moisture content of the new sample to be tested by using a moisture tester and the polymerization degree of the new sample to be tested by using a viscometer with the evaluation result, and carrying out error analysis, wherein the table 1 shows that the evaluation result obtained according to the steps is compared with the actual test result, and the dielectric modulus fingerprint database can accurately evaluate the insulation state of the new sample to be tested, so that the method can be used for the insulation state evaluation of the oil-immersed casing pipe, and the effectiveness is further verified.
TABLE 1 comparison of evaluation results with actual test results
The foregoing descriptions of specific exemplary embodiments of the present invention have been presented for purposes of illustration and description. It is not intended to limit the invention to the precise form disclosed, and obviously many modifications and variations are possible in light of the above teaching. The exemplary embodiments were chosen and described in order to explain certain principles of the invention and its practical application to enable one skilled in the art to make and use various exemplary embodiments of the invention and various alternatives and modifications as are suited to the particular use contemplated. It is intended that the scope of the invention be defined by the claims and their equivalents.
Claims (5)
1. A dielectric modulus fingerprint database-based assessment method for the insulation state of a sleeve is characterized by comprising the following steps:
(1) deducing the complex phase relative dielectric constant to obtain an expression of the calculated dielectric modulus;
(2) preparing insulating paperboard samples in different insulating states, wherein the insulating paperboard samples comprise insulating paperboard samples with water contents of a%, B%, C% and D% and aging times of A day, B day, C day, D day and E day;
(3) respectively testing each insulating paperboard sample in different insulating states by using dielectric response testing equipment, obtaining FDS data, and drawing an FDS curve graph;
(4) calculating and processing the FDS data obtained in the step (3) to obtain the related dielectric modulus data of the insulating paperboard sample;
(5) dividing the frequency domain of the dielectric modulus spectrum into three sections of high frequency, medium frequency and low frequency, and respectively integrating the three sections to obtain a dielectric modulus fingerprint;
(6) extracting the direct current conductivity of the insulating oil as an auxiliary fingerprint;
(7) establishing a dielectric modulus fingerprint database according to the data obtained in the steps (5) and (6);
(8) and evaluating a new sample to be tested, comparing the dielectric modulus fingerprint of the data to be tested with the established dielectric modulus fingerprint database by adopting a fuzzy pattern recognition algorithm, and evaluating the insulation state of the sample to be tested.
2. The dielectric modulus fingerprint database-based insulation state assessment method for casing pipes according to claim 1, wherein in the step (1), the formula for calculating the dielectric modulus is derived according to the fact that the complex dielectric modulus is the reciprocal of the complex relative dielectric constant as follows:
wherein M denotes a complex dielectric modulus, wherein M 'denotes a real part of the dielectric modulus, M "denotes an imaginary part of the dielectric modulus, and ∈ denotes a complex dielectric constant, wherein ∈' denotes a real part of the dielectric constant, and ∈" denotes an imaginary part of the dielectric constant.
3. The method for evaluating the insulation state of the bushing based on the dielectric modulus fingerprint database of claim 1, wherein in the step (2), the specific process for preparing the insulation paperboard samples with different insulation states is as follows:
1) carrying out vacuum drying treatment on the new insulating paperboard under the environment of constant temperature and pressure;
2) placing the insulating oil and the insulating paper board in an environment with constant temperature and pressure intensity for oil immersion treatment;
3) standing for a period of time to obtain an oil-immersed insulating paperboard in an initial state;
4) carrying out moisture absorption treatment on the insulating paper boards, and controlling the moisture absorption content of the paper boards by adopting a precision electronic balance to obtain the insulating paper boards with different water contents;
5) the method comprises the steps of aging the insulating paper boards with different water contents in groups, setting the temperature of an aging box to be constant, aging each group of paper boards for A days, B days, C days, D days and E days respectively to obtain insulating paper board samples with different water contents and aging days, namely the insulating paper board samples in different insulating states.
4. The dielectric modulus fingerprint database-based insulation state assessment method for casing pipes according to claim 1, wherein in the step (4), FDS data is calculated and processed, and the calculation formula is as follows:
wherein M 'represents a real part of the dielectric modulus, M' represents an imaginary part of the dielectric modulus, ε 'represents a real part of the dielectric constant, and ε' represents an imaginary part of the dielectric constant; data for dielectric modulus were obtained.
5. The method for evaluating the insulation state of the casing based on the dielectric modulus fingerprint database of claim 1, wherein in the step (5), the dielectric modulus characteristic fingerprint is obtained by integrating the dielectric modulus curve, and the dielectric modulus curve is divided into high frequencies a1Hz～b1Hz, intermediate frequency a2Hz～b2Hz, low frequency a3Hz～b3Hz frequency range, respectively integrating to obtain integral factor S1、S2、S3The calculation formula is as follows:
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114236331A (en) * | 2021-12-03 | 2022-03-25 | 广西电网有限责任公司电力科学研究院 | Transformer insulation state identification method and system based on neural network and fingerprint database |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109387704A (en) * | 2018-09-18 | 2019-02-26 | 海南电网有限责任公司电力科学研究院 | A kind of device and measurement method measuring dielectric substance dielectric modulus |
| CN111220885A (en) * | 2020-01-21 | 2020-06-02 | 广西大学 | Method for estimating activation energy of transformer oil paper insulation based on frequency domain dielectric modulus |
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| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109387704A (en) * | 2018-09-18 | 2019-02-26 | 海南电网有限责任公司电力科学研究院 | A kind of device and measurement method measuring dielectric substance dielectric modulus |
| CN111220885A (en) * | 2020-01-21 | 2020-06-02 | 广西大学 | Method for estimating activation energy of transformer oil paper insulation based on frequency domain dielectric modulus |
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| Title |
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| 张镱议 等: "Prediction of Moisture and Aging Conditions of Oil-Immersed Cellulose Insulation Based on Fingerprints Database of Dielectric Modulus", 《POLYMERS》 * |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN114236331A (en) * | 2021-12-03 | 2022-03-25 | 广西电网有限责任公司电力科学研究院 | Transformer insulation state identification method and system based on neural network and fingerprint database |
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