Composite insulator safety risk assessment platform and method based on pollution accumulation degree

Abstract

The invention discloses a composite insulator safety risk assessment platform and method based on pollution accumulation degree, and the method comprises the steps: firstly building a composite insulator surface pollution accumulation safety risk assessment test platform, carrying out the simulation of the surface pollution degree of a composite insulator through the test platform according to the test requirements, and carrying out the safety risk assessment of the composite insulator after the surface pollution accumulation simulation is completed; the actual working voltage and the actual working current of the composite insulator are measured and tested, and the actual working voltage measured by the voltage divider and the actual working current measured by the current mutual inductance tester are collected by the data collector II and are transmitted to the host; the platform controls the surface of the composite insulator to have different pollution accumulation degrees, performs composite insulator safety risk assessment tests under different pollution accumulation degrees, performs assessment through the host to obtain a composite insulator safety risk reference assessment factor, and evaluates the safety risk of the composite insulator. According to the invention, accurate evaluation of the safety risk of the composite insulator is realized.

Description

Technical Field

[0001] The present invention belongs to the field of composite insulator safety risk assessment, and in particular to a composite insulator safety risk assessment platform and method based on pollution accumulation degree. Background Art

[0002] With the continuous construction and development of power grids and people's higher requirements for stable electricity consumption, there are now higher assessments on the safe and stable operation of power grids. As an important part of the power network, the safe operation of transmission lines has also received more and more attention. Composite insulators are important insulating equipment in current transmission lines. During use, they are subjected to the operating voltage of conductors for a long time, and their insulation tolerance characteristics continue to deteriorate. Safety risks are also decreasing. In severe cases, short-circuit accidents may even develop. At the same time, due to the long-term operation of composite insulators in outdoor conditions, the insulator sheds are extremely susceptible to accumulated dirt in the environment. In addition, since composite insulators lack the zero-value self-explosion characteristics of glass insulators, their safety risks cannot be directly expressed. Therefore, the assessment of the safety risks of composite insulators is of great significance.

[0003] There are relatively few assessments of the safety risks of composite insulators at present, and there is no test assessment platform and assessment method based on actual working conditions. When assessing the safety risks of composite insulators, the extraction of assessment parameters is often affected by the contamination on the surface of the composite insulators, but there is currently a lack of consideration for relevant situations. Therefore, in order to accurately assess the safety risk status of composite insulators, a composite insulator safety risk assessment method based on the degree of contamination is urgently needed to accurately assess the safety risks of composite insulators and improve the operating safety of transmission lines. Summary of the invention

[0004] The purpose of the present invention is to provide a composite insulator safety risk assessment platform and method based on the degree of contamination in order to solve the above-mentioned deficiencies.

[0005] The technical solution for achieving the purpose of the present invention is as follows:

[0006] A composite insulator safety risk assessment platform based on pollution degree, comprising a host, a composite insulator, a test switch, a grounding grid, a pollution generation simulation device, a pollution nozzle, a pollution degree tester, a voltage divider, a voltage generation controller, a pollution generation simulation device controller, a grounding electrode 1, a grounding electrode 2, a high-voltage cable 1, a high-voltage cable 2, a data collector 1, a data collector 2, a current mutual inductance tester, a voltage generator, a signal cable 1, and a signal cable 2;

[0007] Wherein: The signal input end of the voltage generator is connected to the voltage generation controller, the voltage generation controller is connected to the host, the output end of the voltage generator is connected to the voltage divider through the first high-voltage cable, the voltage divider is connected to the input end of the test switch through the second high-voltage cable, the output end of the test switch is connected to the upper end of the composite insulator, and the lower end of the composite insulator is connected to the grounding grid;

[0008] The grounding end of the high-voltage generator is connected to the first grounding electrode, the grounding end of the voltage divider is connected to the second grounding electrode, the signal output end of the voltage divider is connected to the second data collector through the second signal cable, the current mutual inductance tester is installed on the connection line between the composite insulator and the grounding grid, the current mutual inductance tester is connected to the second data collector through the first signal cable, and the second data collector is connected to the host;

[0009] The contamination degree tester is placed on the surface of the composite insulator, its output end is connected to the first data collector, and the first data collector is connected to the host;

[0010] The contamination spray head is connected to the contamination generation simulation device, the contamination generation simulation device is connected to the contamination generation simulation device controller, and the contamination generation simulation device controller is connected to the host;

[0011] A safety risk assessment method for composite insulators based on the contamination degree includes the following steps:

[0012] S1: Send a contamination simulation signal from the host to the contamination generation simulation device controller. The contamination generation simulation device controller controls the contamination generation simulation device and the contamination spray head to complete the surface contamination simulation of the composite insulator. Measure the surface contamination degree W of the composite insulator through the contamination degree tester. Adjust the test switch to turn it on. The host controls the voltage generator to output a set voltage with an amplitude of U through the voltage generation controller. Measure the actual working voltage U0 of the composite insulator through the voltage divider and transmit it to the host. Measure the actual working current I0 generated by the composite insulator under the voltage U0 through the current mutual inductance tester and transmit it to the host through the second data collector. Adjust the test switch to turn it off;

[0013] S2: Define the contamination degree range as: 1 g / L < W ≤ 200 g / L, where W is the contamination degree. Starting from W = 1 g / L, take a contamination degree every interval of W0 and repeat step S1. Measure different actual working voltages U0 and actual working currents I0 under each contamination degree through the voltage divider and the current mutual inductance tester, for a total of n groups of test data;

[0014] S3: Based on the measured contamination degree and the basic parameters of the composite insulator, obtain the first safety risk standard assessment factor S1 and the second safety risk standard assessment factor S2 of the composite insulator:

[0015]

[0016]

[0017] In the formula, S 1j is the safety risk standard assessment factor of the jth group of test composite insulators, S 2j W is the safety risk standard assessment factor 2 for the jth group of test composite insulators. j is the pollution degree of the composite insulator measured in the jth group test, U1 is the rated voltage of the composite insulator, h1 is the structural height of the composite insulator, h2 is the minimum nominal creepage distance of the composite insulator, u is the error coefficient 1, i is the error coefficient 2, η is the integral variable, and n is the number of tests;

[0018] S4: Use the optimization algorithm to optimize formula (1) and formula (2) to obtain the u0 and i0 values ​​that minimize the error. The specific steps are:

[0019] 1) Randomly generate initial solutions u and i, and calculate the objective functions f(u) and g(i):

[0020]

[0021]

[0022] In the formula, f(u) represents the objective function 1, g(i) represents the objective function 2, and U 0j is the actual working voltage measured in the jth group of tests, I 0j The actual working current data measured for the jth group of tests;

[0023] 2) Generate a new perturbed solution u', calculate the objective function 1 Δf = f(u) - f(u'), if Δf ≥ 0, accept the new solution, otherwise, obtain the new solution according to the probability acceptance criterion; generate a new perturbed solution i', calculate the objective function 2 Δg = g(i) - g(i'), if Δg ≥ 0, accept the new solution, otherwise, obtain the new solution according to the probability acceptance criterion;

[0024] 3) Determine whether the number of iterations has been reached. If so, go to step 4; otherwise, go to step 2.

[0025] 4) Determine whether the termination conditions are met. If so, the operation ends and the optimal solution is returned. Otherwise, the number of iterations is reset and the second step is performed.

[0026] S5: Substitute the optimal values ​​u0 and i0 obtained by optimization in step S4 into formula (1) and formula (2) respectively to obtain the calculation formulas of the optimized composite insulator safety risk standard assessment factor 1 and safety risk standard assessment factor 2:

[0027]

[0028]

[0029] In the formula, S 3j is the optimized safety risk standard assessment factor of the jth group of test composite insulators, S 4j is the optimized safety risk standard assessment factor 2 for the jth group of test composite insulators, u0 is the optimized error coefficient 1, and i0 is the optimized error coefficient 2;

[0030] S6: Based on the above calculations, the safety risk standard assessment factor S of composite insulators based on the degree of pollution accumulation is obtained:

[0031]

[0032] Where P 1j is the baseline weight factor of the jth group of experiments, P 2j is the baseline weight factor 2 for the jth group of tests;

[0033] S7: Based on the above steps, when S∈(0, 250*10 6 ], it indicates that the composite insulator has a high safety risk and should be replaced as soon as possible; when S∈(250*10 6 , 300*10 6 ), it indicates that the safety risk of the composite insulator is general, and timely maintenance can be arranged; when S∈(250*10 6 , +∞), indicating that there is no safety risk for the composite insulator.

[0034] The beneficial effects of the present invention are that it can simulate the degree of contamination on the surface of composite insulators, and test the actual working voltage and actual working current values ​​of composite insulators under different degrees of contamination, which can effectively simulate the surface contamination of composite insulators under actual working conditions. The controller of the contamination occurrence simulation device can realize the accurate simulation of contamination on the surface of composite insulators, which is beneficial to improve the accuracy of the safety risk assessment test of composite insulators and analyze the correlation between the degree of contamination and the actual working voltage and current of composite insulators. The composite insulator safety risk benchmark assessment factor takes into account the impact of the degree of contamination on the safety risk assessment of composite insulators, further improving the accuracy of the safety risk assessment of composite insulators; the test device is easy to operate, safe and reliable, and the test device can conduct tests under different degrees of contamination, and has universal applicability. BRIEF DESCRIPTION OF THE DRAWINGS

[0035] Figure 1 It is a schematic diagram of the overall structure of the present invention;

[0036] Figure 2 It is a flow chart of the evaluation method in the invention. DETAILED DESCRIPTION

[0037] A composite insulator safety risk assessment platform based on pollution level:

[0038] like Figure 1 The test platform of the present invention comprises: a host 01, a composite insulator 02, a test switch 03, a grounding grid 04, a pollution generation simulation device 05, a pollution nozzle 06, a pollution degree tester 07, a voltage divider 08, a voltage generation controller 09, a pollution generation simulation device controller 10, a grounding electrode 1 11a, a grounding electrode 2 11b, a high-voltage cable 1 12a, a high-voltage cable 2 12b, a data collector 1 13a, a data collector 2 13b, a current mutual inductance tester 14, a voltage generator 15, a signal cable 16a, a signal cable 2 16b;

[0039] Wherein: the signal input end of the voltage generator 15 is connected to the voltage generation controller 09, the voltage generation controller 09 is connected to the host 01, the output end of the voltage generator 15 is connected to the voltage divider 08 through the high-voltage cable 12a, the voltage divider 08 is connected to the input end of the test switch 03 through the high-voltage cable 2 12b, the output end of the test switch 08 is connected to the upper end of the composite insulator 02, and the lower end of the composite insulator 02 is connected to the grounding grid 04;

[0040] The grounding end of the high voltage generator 15 is connected to the grounding electrode 11a, the grounding end of the voltage divider 08 is connected to the grounding electrode 2 11b, the signal output end of the voltage divider 08 is connected to the data acquisition device 2 13b through the signal cable 2 16b, the current mutual inductance tester 14 is installed on the connection line between the composite insulator 02 and the grounding grid 04, the current mutual inductance tester 14 is connected to the data acquisition device 2 13b through the signal cable 16a, and the data acquisition device 2 13b is connected to the host 01;

[0041] The pollution degree tester 07 is placed on the surface of the composite insulator 02, and its output end is connected to a data collector 13a, and the data collector 13a is connected to the host 01;

[0042] The pollution nozzle 06 is connected to the pollution generation simulation device 05, the pollution generation simulation device 05 is connected to the pollution generation simulation device controller 10, and the pollution generation simulation device controller 10 is connected to the host 01;

[0043] A composite insulator safety risk assessment method based on pollution accumulation degree comprises the following steps:

[0044] S1: Send a pollution simulation signal from host 01 to the controller 10 of the pollution occurrence simulation device. The controller 10 of the pollution occurrence simulation device controls the pollution occurrence simulation device 05 and the pollution nozzles 06 to complete the pollution accumulation simulation on the surface of the composite insulator 02. Measure the pollution accumulation degree W on the surface of the composite insulator 02 through the pollution degree tester 07; adjust the test switch 03 to turn it on. The host 01 controls the voltage generator 15 to output a set voltage with an amplitude of U through the voltage generation controller 09, measure the actual working voltage U0 of the composite insulator 02 through the voltage divider 08 and transmit it to the host 01, measure the actual working current I0 generated by the composite insulator 02 under the voltage U0 through the current mutual inductance tester 14, and transmit it to the host 01 through the data collector two 13b. Then adjust the test switch 03 to turn it off;

[0045] S2: Define the pollution accumulation degree range as: 1 g / L < W ≤ 200 g / L, where W is the pollution accumulation degree. Starting from W = 1 g / L, take a pollution degree at every interval of W0, and repeat step S1. Measure different actual working voltages U0 and actual working currents I0 at each pollution accumulation degree through the voltage divider 08 and the current mutual inductance tester 14, for a total of n groups of test data;

[0046] S3: Based on the measured pollution accumulation degree and the basic parameters of the composite insulator, obtain the first safety risk standard evaluation factor S1 and the second safety risk standard evaluation factor S2 of the composite insulator:

[0047]

[0048]

[0049] In the formula, S 1j is the first safety risk standard evaluation factor of the composite insulator for the j - th group of tests, S 2j is the second safety risk standard evaluation factor of the composite insulator for the j - th group of tests, W j is the pollution accumulation degree of the composite insulator measured in the j - th group of tests, U1 is the rated voltage of the composite insulator, h1 is the structural height of the composite insulator, h2 is the minimum nominal creepage distance of the composite insulator, u is the first error coefficient, i is the second error coefficient, η is the integration variable, and n is the number of tests;

[0050] S4: Use an optimization algorithm to optimize and model formulas (1) and (2) to obtain the values of u0 and i0 that minimize the error. The specific steps are as follows:

[0051] 1) Randomly generate the initial solutions u and i, and calculate the objective functions f(u) and g(i):

[0052]

[0053]

[0054] In the formula, f(u) represents the objective function 1, g(i) represents the objective function 2, and U 0j is the actual working voltage measured in the jth group of tests, I 0j The actual working current data measured for the jth group of tests;

[0055] 2) Generate a new perturbed solution u', calculate the objective function 1 Δf = f(u) - f(u'), if Δf ≥ 0, accept the new solution, otherwise, obtain the new solution according to the probability acceptance criterion; generate a new perturbed solution i', calculate the objective function 2 Δg = g(i) - g(i'), if Δg ≥ 0, accept the new solution, otherwise, obtain the new solution according to the probability acceptance criterion;

[0056] 3) Determine whether the number of iterations has been reached. If so, go to step 4; otherwise, go to step 2.

[0057] 4) Determine whether the termination conditions are met. If so, the operation ends and the optimal solution is returned. Otherwise, the number of iterations is reset and the second step is performed.

[0058] S5: Substitute the optimal values ​​u0 and i0 obtained by optimization in step S4 into formula (1) and formula (2) respectively to obtain the calculation formulas of the optimized composite insulator safety risk standard assessment factor 1 and safety risk standard assessment factor 2:

[0059]

[0060]

[0061] In the formula, S 3j is the optimized safety risk standard assessment factor of the jth group of test composite insulators, S 4j is the optimized safety risk standard assessment factor 2 for the jth group of test composite insulators, u0 is the optimized error coefficient 1, and i0 is the optimized error coefficient 2;

[0062] S6: Based on the above calculations, the safety risk standard assessment factor S of composite insulators based on the degree of pollution accumulation is obtained:

[0063]

[0064] Where P 1j is the baseline weight factor of the jth group of experiments, P 2j is the baseline weight factor 2 for the jth group of tests;

[0065] S7: Based on the above steps, when S∈(0, 250*10 6 ], it indicates that the composite insulator has a high safety risk and should be replaced as soon as possible; when S∈(250*106 , 300*10 6 ), it indicates that the safety risk of the composite insulator is general, and timely maintenance can be arranged; when S∈(250*10 6 , +∞), indicating that there is no safety risk for the composite insulator.

Claims

1. A composite insulator safety risk assessment platform based on pollution accumulation, characterized in that: It comprises a host (01), a composite insulator (02), a test switch (03), a grounding grid (04), a pollution generation simulation device (05), a pollution nozzle (06), a pollution degree tester (07), a voltage divider (08), a voltage generation controller (09), a pollution generation simulation device controller (10), a grounding electrode 1 (11a), a grounding electrode 2 (11b), a high-voltage cable 1 (12a), a high-voltage cable 2 (12b), a data acquisition device 1 (13a), a data acquisition device 2 (13b), a current mutual inductance tester (14), a voltage generator (15), a signal cable 1 (16a), and a signal cable 2 (16b); Wherein: the signal input end of the voltage generator (15) is connected to the voltage generation controller (09), the voltage generation controller (09) is connected to the host (01), the output end of the voltage generator (15) is connected to the voltage divider (08) through the high-voltage cable 1 (12a), the voltage divider (08) is connected to the input end of the test switch (03) through the high-voltage cable 2 (12b), the output end of the test switch (08) is connected to the upper end of the composite insulator (02), and the lower end of the composite insulator (02) is connected to the grounding grid (04); The grounding end of the high-voltage generator (15) is connected to the first grounding electrode (11a), the grounding end of the voltage divider (08) is connected to the second grounding electrode (11b), the signal output end of the voltage divider (08) is connected to the second data acquisition device (13b) through the second signal cable (16b), the current mutual inductance tester (14) is installed on the connection line between the composite insulator (02) and the grounding grid (04), the current mutual inductance tester (14) is connected to the second data acquisition device (13b) through the first signal cable (16a), and the second data acquisition device (13b) is connected to the host (01); The pollution degree tester (07) is placed on the surface of the composite insulator (02), and its output end is connected to the data collector 1 (13a), and the data collector 1 (13a) is connected to the host (01); The pollution nozzle (06) is connected to the pollution generation simulation device (05), the pollution generation simulation device (05) is connected to the pollution generation simulation device controller (10), and the pollution generation simulation device controller (10) is connected to the host (01).

2. A composite insulator safety risk assessment method based on contamination degree according to claim 1, comprising the following steps: S1: Send a contamination simulation signal from the host (01) to the contamination occurrence simulation device controller (10). The contamination occurrence simulation device controller (10) controls the contamination occurrence simulation device (05) and the contamination nozzle (06) to complete the surface contamination simulation of the composite insulator (02), and measures the surface contamination degree W of the composite insulator (02) through the contamination degree tester (07); adjust the test switch (03) to turn on the test switch (03). The host (01) controls the voltage generator (15) to output a set voltage with an amplitude of U through the voltage generation controller (09), measures the actual working voltage U0 of the composite insulator (02) through the voltage divider (08) and transmits it to the host (01), measures the actual working current I0 generated by the composite insulator (02) under the voltage U0 through the current mutual inductance tester (14), and transmits it to the host (01) through the data collector two (13b). Then adjust the test switch (03) to turn off the test switch (03); S2: Define the range of contamination degree as: 1 g / L < W ≤ 200 g / L, where W is the contamination degree. Starting from W = 1 g / L, take a contamination degree at every interval of W0, and repeat step S1. Measure different actual working voltages U0 and actual working currents I0 at each contamination degree through the voltage divider (08) and the current mutual inductance tester (14), for a total of n groups of test data; S3: Based on the measured contamination degree and the basic parameters of the composite insulator, obtain the first safety risk standard evaluation factor S1 and the second safety risk standard evaluation factor S2 of the composite insulator: In the formula, S 1j is the safety risk standard assessment factor of the jth group of test composite insulators, S 2j W is the safety risk standard assessment factor 2 for the jth group of test composite insulators. j is the pollution degree of the composite insulator measured in the jth group test, U1 is the rated voltage of the composite insulator, h1 is the structural height of the composite insulator, h2 is the minimum nominal creepage distance of the composite insulator, u is the error coefficient 1, i is the error coefficient 2, η is the integral variable, and n is the number of tests; S4: Use an optimization algorithm to optimize and model formulas (1) and (2) to obtain the values of u0 and i0 that minimize the error. The specific steps are as follows: 1) Randomly generate the initial solutions u and i, and calculate the objective functions f(u) and g(i): In the formula, f(u) represents the objective function 1, g(i) represents the objective function 2, and U 0j is the actual working voltage measured in the jth group of tests, I 0j The actual working current data measured for the jth group of tests; 2) Generate a perturbed new solution u', and calculate the first objective function Δf = f(u) - f(u'). If Δf ≥ 0, accept the new solution; otherwise, obtain the new solution according to the probability acceptance criterion. Generate a perturbed new solution i', and calculate the second objective function Δg = g(i) - g(i'). If Δg ≥ 0, accept the new solution; otherwise, obtain the new solution according to the probability acceptance criterion; 3) Respectively judge whether the iteration times are reached. If so, go to the fourth step; otherwise, go to the second step; 4) Respectively judge whether the termination conditions are met. If so, end the operation and return the optimal solution; otherwise, reset the iteration times and go to the second step; S5: Substitute the optimal values u0 and i0 obtained by optimization in step S4 into formulas (1) and (2) respectively to obtain the calculation formulas for the optimized first safety risk standard evaluation factor and the second safety risk standard evaluation factor of the composite insulator: In the formula, S 3j is the optimized safety risk standard assessment factor of the jth group of test composite insulators, S 4j is the optimized safety risk standard assessment factor 2 for the jth group of test composite insulators, u0 is the optimized error coefficient 1, and i0 is the optimized error coefficient 2; S6: Through the above calculations, obtain the safety risk standard evaluation factor S of the composite insulator based on the contamination degree: Where P 1j is the baseline weight factor of the jth group of experiments, P 2j is the baseline weight factor 2 for the jth group of tests; S7: Based on the above steps, when S∈(0, 250*10 6 ], it indicates that the composite insulator has a high safety risk and should be replaced as soon as possible; when S∈(250*10 6 , 300*10 6 ), it indicates that the safety risk of the composite insulator is general, and timely maintenance can be arranged; when S∈(250*10 6 , +∞), indicating that there is no safety risk for the composite insulator.

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