CN112684274B - Lightning arrester reliability state assessment method under different air water contents - Google Patents
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Abstract
一种不同空气含水量下避雷器可靠性状态评估方法，其特征在于，搭建了一个测试平台，平台主要包括避雷器、工作电流强度参数测试仪、试验箱、空气含水量分析控制装置、空气含水量传感器等；进行不同空气中的水汽含量下避雷器可靠性状态试验，通过上位机对试验箱中空气含水量分析控制装置对避雷器所处的空气中的水汽含量环境进行控制和测量；然后进行避雷器工作电流强度参数测量实验，获得不同空气中的水汽含量下的避雷器可靠性系数表达式，并基于理论误差积分系数建立评价模型，进而对避雷器可靠性状态进行评估。本发明能有效得到避雷器在实际空气中的水汽含量条件下对避雷器可靠性状态进行解析化评估，有利于避雷器在实际复杂环境下的安全稳定运行。
A method for evaluating the reliability state of arresters with different air moisture content, characterized in that a test platform is built, and the platform mainly includes the arrester, a working current intensity parameter tester, a test box, an air moisture content analysis and control device, and an air moisture content sensor. etc.; carry out the reliability state test of the arrester under different water vapor content in the air, and control and measure the water vapor content environment in the air where the arrester is located by the upper computer through the air water content analysis and control device in the test chamber; then conduct the arrester working current The strength parameter measurement experiment was carried out to obtain the expression of the reliability coefficient of the arrester under different water vapor content in the air, and an evaluation model was established based on the theoretical error integral coefficient, and then the reliability status of the arrester was evaluated. The invention can effectively obtain the analytical evaluation of the reliability state of the arrester under the condition of the water vapor content in the actual air, which is beneficial to the safe and stable operation of the arrester in the actual complex environment.
Description
Technical Field
The invention relates to the field of performance test of an arrester, in particular to a reliability state evaluation method of the arrester under different air water contents.
Background
With the rapid progress of urbanization and industrialization, the scale of a power grid is rapidly developed, in recent years, 24 extra-high voltage projects of 'thirteen-alternating-eleven-direct' are built up in China cumulatively, the power transmission and distribution grid structure is continuously improved, the structure of a regional power grid is continuously optimized, the related power transmission and distribution technologies are also promoted synchronously, and the grid pattern of alternating-current and direct-current series-parallel connection among regions is formed. However, most of China is in a strong lightning area, and the lightning arrester is used as an electric appliance for protecting electrical equipment from being damaged by high transient overvoltage and limiting follow current time and follow current amplitude, so that effective protection is provided for reliable power supply of a power system. However, because the installation environment where the lightning arrester is located is relatively complex, when the lightning arrester runs under the working voltage for a long time, the relevant performance of the lightning arrester can be greatly changed, the protection effect of the lightning arrester on a power grid can be lost under severe conditions, and even safety accidents such as runaway or explosion can occur under extreme conditions. Therefore, research aiming at monitoring and evaluating the reliability state of the lightning arrester has important significance for safe and stable operation of the power system.
At present, relevant researches on lightning arresters at home and abroad are mostly carried out based on simulation or power failure tests, the actual situation of a field cannot be completely reflected, and compared with a power failure test, an on-line monitoring method has the advantages of higher instantaneity, cost reduction and the like; because the working current intensity parameter of the lightning arrester can be influenced by the moisture content in the environment, the reliability of the lightning arrester can be affected differently under the condition of different moisture contents in the air, and a test system and an analysis and evaluation method related to the reliability state of the lightning arrester under the condition of large moisture difference in the periphery are lacked at present. Therefore, in order to more accurately and actually evaluate the state of the reliability of the arrester, an analytic reliability state evaluation method for the arrester is urgently needed, the analytic reliability state of the arrester under the condition of considering the large water content difference in the actual ambient air can be analytically evaluated, and safety guarantee is provided for a power system.
Disclosure of Invention
In order to more accurately analyze and evaluate the reliability state of the arrester under different air water contents, the invention provides an arrester reliability state evaluation method under different air water contents. The technical scheme for realizing the purpose of the invention is as follows:
firstly, an evaluation platform is set up, and the platform comprises: the lightning arrester, a working current intensity parameter tester, a comprehensive grounding device, a test box, an air water content analysis control device, an air water content regulator, an upper computer, a working voltage generation controller, a data acquisition device, a working voltage generation device, a switch, a high-voltage-resistant cable, a first air water content sensor, a second air water content sensor, a third air water content sensor and a fourth air water content sensor;
the bottom grounding end of the lightning arrester is connected with the comprehensive grounding device;
a current input terminal IB of the working current intensity parameter tester is connected with the bottom of the lightning arrester, a grounding terminal E of the working current intensity parameter tester is connected with the comprehensive grounding device, a signal output terminal O of the working current intensity parameter tester is electrically connected with the data acquisition unit, and the data acquisition unit is electrically connected with an upper computer;
the air water content regulator, the air water content sensor I, the air water content sensor II, the air water content sensor III, the air water content sensor IV, the working current intensity parameter tester, the lightning arrester and the switch are all fixed inside the test box;
furthermore, the first air water content sensor, the second air water content sensor, the third air water content sensor, the fourth air water content sensor and the air water content regulator are electrically connected with the air water content analysis control device, and the air water content analysis control device is electrically connected with an upper computer;
further, the output end of the voltage generating device is electrically connected to the input end of the switch through a high-voltage resistant cable, and the output end of the switch is connected to the top input end of the lightning arrester; the working voltage generating device is connected with the working voltage generating controller, and the working voltage generating controller is connected with the upper computer;
the evaluation method of the evaluation platform comprises the following steps:
first, send air water content through the host computer to air water content analysis controlling means and set for the signal, air water content analysis controlling means control air water content regulator sets for the air water content in the proof box, and the air water content condition in air water content sensor one, air water content sensor two, air water content sensor three, the four measuring test casees of air water content sensor obtains the value H of the water content in the airr％；
The working voltage generating device is turned on, working voltage is output, working current intensity parameters generated by the lightning arrester under the working voltage are measured through the working current intensity parameter tester, and the working current intensity parameters are transmitted to the upper computer through the data acquisition unit;
adjusting a switch to turn off the switch, changing the water content of the air in the test chamber to change the water content of the air in the test chamber, controlling the change range within 1-99%, and repeating the test steps to obtain m groups of test working current intensity parameter data;
the second step is that: calculating the reliability coefficient mu of the arrester under different water contents in the air:
in the formula Hr% is the water content in air, UwFor operating voltage of lightning arrester, IcvThe parameters are reliability critical working current intensity parameters of the lightning arrester, lambda is an error coefficient, zeta is an integral variable, and mu is a reliability coefficient of the lightning arrester;
model optimization is performed on the formula (1) to obtain lambda which minimizes the error0The method comprises the following specific steps:
a) randomly generating an initial solution lambda, and establishing an objective function f (lambda):
wherein f (λ) represents an objective function, μjIs the reliability coefficient of the arrester at jth air moisture content, IsjThe measured value of the working current intensity parameter under the jth air water content is obtained, and m is the number of data sets of the corresponding test working current intensity parameter;
b) obtaining a new solution lambda ' by a natural heuristic search mode, and calculating a function delta f ═ f (lambda) -f (lambda '), if f (lambda) < f (lambda '), using lambda as the new solution; otherwise, taking the lambda' as a new solution;
c) judging whether a termination condition is met, if so, finishing the operation and outputting an optimal solution, otherwise, returning to the step b);
the third step: correcting the reliability coefficient of the field arrester to obtain a corrected arrester reliability coefficient calculation formula:
in the formula (3), mu0For corrected reliability coefficient of lightning arrester, lambda0The error coefficient after optimization;
the fourth step: the reliability state of the lightning arrester is evaluated,
when mu is0When the element belongs to (0, 1), the reliability state of the lightning arrester is represented to be normal; when mu is0When the lightning arrester belongs to the state of 1, the reliability state of the lightning arrester is represented to be abnormal, and the lightning arrester needs to be powered off and repaired or replaced as soon as possible.
The invention has the beneficial effects that:
1) can be through setting up arrester reliability state aassessment platform, the moisture content environmental condition of effective simulation arrester in the different air of reality, the practicality is strong.
2) The intelligent operation and control of accessible host computer completion, it is convenient, accurate high-efficient to gather data, has the universality to the reliability state aassessment of different complex environment operating mode arresters.
3) The method can improve the theoretical calculation strategy and effectively perform analytic evaluation on the reliability state of the arrester under the environment with water content in different air.
Drawings
FIG. 1 is a schematic diagram of the general platform architecture of the present invention;
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings. The specific implementation mode of the arrester reliability state assessment method under the condition of different moisture contents in air comprises the following steps:
the first step is as follows: setting up an evaluation platform, wherein the platform comprises: the device comprises a lightning arrester (1), a working current intensity parameter tester (2), a comprehensive grounding device (3), a test box (4), an air water content analysis control device (5), an air water content regulator (6), an upper computer (7), a working voltage generation controller (8), a data acquisition unit (9), a working voltage generation device (10), a switch (11), a high-voltage-resistant cable (12), a first air water content sensor (13), a second air water content sensor (14), a third air water content sensor (15) and a fourth air water content sensor (16);
the bottom grounding end of the lightning arrester (1) is connected with the comprehensive grounding device (3);
a current input terminal IB of the working current intensity parameter tester (2) is connected with the bottom of the lightning arrester (1), a grounding terminal E of the working current intensity parameter tester (2) is connected with the comprehensive grounding device (3), a signal output terminal O of the working current intensity parameter tester (2) is electrically connected with the data collector (9), and the data collector (9) is electrically connected with the upper computer (7);
the air water content regulator (6), the first air water content sensor (13), the second air water content sensor (14), the third air water content sensor (15), the fourth air water content sensor (16), the working current intensity parameter tester (2), the lightning arrester (1) and the switch (11) are all fixed inside the test box (4);
the air water content sensor I (13), the air water content sensor II (14), the air water content sensor III (15), the air water content sensor IV (16) and the air water content regulator (6) are electrically connected with the air water content analysis control device (5), and the air water content analysis control device (5) is electrically connected with the upper computer (7);
the output end of the voltage generating device (10) is electrically connected to the input end of the switch (11) through a high-voltage resistant cable (12), and the output end of the switch (11) is connected to the top input end of the lightning arrester (1); the working voltage generating device (10) is connected with the working voltage generating controller (8), and the working voltage generating controller (8) is connected with the upper computer (7);
the second step is that: develop the reliability test of arrester under the different air water content environment based on test platform:
send air water content through host computer (7) to air water content analysis controlling means (5) and set for the signal, air water content analysis controlling means (5) control air water content regulator (6) set for the air water content in proof box (4), air water content sensor (13), air water content sensor two (14), air water content sensor three (15), the air water content condition in air water content sensor four (16) measurement proof box (4), the value H who obtains the water content in the airr％；
The working voltage generating device (10) is turned on, working voltage is output, working current intensity parameters generated by the lightning arrester (1) under the working voltage are measured through the working current intensity parameter tester (2), and the working current intensity parameters are transmitted to the upper computer (7) through the data acquisition unit (9);
adjusting the switch (11) to turn off the switch (11), changing the water content of the air in the test chamber (4) to change the water content of the air in the test chamber (4), controlling the change range within 1-99%, and repeating the test steps to obtain m groups of test working current intensity parameter data;
the third step: calculating the reliability coefficient mu of the arrester under different water contents in the air:
in the formula Hr% is the water content in air, UwFor operating voltage of lightning arrester, IcvThe parameters are reliability critical working current intensity parameters of the lightning arrester, lambda is an error coefficient, zeta is an integral variable, and mu is a reliability coefficient of the lightning arrester;
model optimization is performed on the formula (4) to obtain lambda which minimizes the error0The method comprises the following specific steps:
d) randomly generating an initial solution lambda, and establishing an objective function f (lambda):
wherein f (λ) represents an objective function, μjIs the reliability coefficient of the arrester at jth air moisture content, IsjThe measured value of the working current intensity parameter under the jth air water content is obtained, and m is the number of data sets of the corresponding test working current intensity parameter;
e) obtaining a new solution lambda ' by a natural heuristic search mode, and calculating a function delta f ═ f (lambda) -f (lambda '), if f (lambda) < f (lambda '), using lambda as the new solution; otherwise, taking the lambda' as a new solution;
f) judging whether a termination condition is met, if so, finishing the operation and outputting an optimal solution, otherwise, returning to the step e);
the fourth step: correcting the reliability coefficient of the lightning arrester to obtain a corrected reliability coefficient calculation formula of the lightning arrester:
in the formula (6), mu0For corrected reliability coefficient of lightning arrester, lambda0The error coefficient after optimization;
the fifth step: lightning arrester reliability state assessment
When mu is0When the element belongs to (0, 1), the reliability state of the lightning arrester is represented to be normal; when mu is0When the lightning arrester belongs to the state of 1, the reliability state of the lightning arrester is represented to be abnormal, and the lightning arrester needs to be powered off and repaired or replaced as soon as possible.
Claims (1)
1. The lightning arrester reliability state assessment method under different air water contents is characterized in that the lightning arrester reliability state assessment method is based on a lightning arrester reliability state assessment platform, and the assessment platform comprises: the device comprises a lightning arrester (1), a working current intensity parameter tester (2), a comprehensive grounding device (3), a test box (4), an air water content analysis control device (5), an air water content regulator (6), an upper computer (7), a working voltage generation controller (8), a data acquisition unit (9), a working voltage generation device (10), a switch (11), a high-voltage-resistant cable (12), a first air water content sensor (13), a second air water content sensor (14), a third air water content sensor (15) and a fourth air water content sensor (16);
the bottom grounding end of the lightning arrester (1) is connected with the comprehensive grounding device (3);
a current input terminal IB of the working current intensity parameter tester (2) is connected with the bottom of the lightning arrester (1), a grounding terminal E of the working current intensity parameter tester (2) is connected with the comprehensive grounding device (3), a signal output terminal O of the working current intensity parameter tester (2) is electrically connected with the data collector (9), and the data collector (9) is electrically connected with the upper computer (7);
the air water content regulator (6), the first air water content sensor (13), the second air water content sensor (14), the third air water content sensor (15), the fourth air water content sensor (16), the working current intensity parameter tester (2), the lightning arrester (1) and the switch (11) are all fixed inside the test box (4);
furthermore, the first air water content sensor (13), the second air water content sensor (14), the third air water content sensor (15), the fourth air water content sensor (16) and the air water content regulator (6) are electrically connected with the air water content analysis control device (5), and the air water content analysis control device (5) is electrically connected with the upper computer (7);
further, the output end of the voltage generating device (10) is electrically connected to the input end of the switch (11) through a high-voltage resistant cable (12), and the output end of the switch (11) is connected to the top input end of the lightning arrester (1); the working voltage generating device (10) is connected with the working voltage generating controller (8), and the working voltage generating controller (8) is connected with the upper computer (7);
the reliability state evaluation comprises the following steps:
first step, send air water content through host computer (7) to air water content analysis controlling means (5) and set for the signal, air water content analysis controlling means (5) control air water content regulator (6) set for the air water content in proof box (4), air water content sensor (13), air water content sensor two (14), air water content sensor three (15), the air water content sensor four (16) air water content condition in measuring proof box (4), obtain the value H of the water content in the airr％；
The working voltage generating device (10) is turned on, working voltage is output, working current intensity parameters generated by the lightning arrester (1) under the working voltage are measured through the working current intensity parameter tester (2), and the working current intensity parameters are transmitted to the upper computer (7) through the data acquisition unit (9);
adjusting the switch (11) to turn off the switch (11), changing the water content of the air in the test chamber (4) to change the water content of the air in the test chamber (4), controlling the change range within 1-99%, and repeating the steps to obtain m groups of test working current intensity parameter data;
the second step is that: calculating the reliability coefficient mu of the arrester under different water contents in the air:
in the formula Hr% is the water content in air, UwFor operating voltage of lightning arrester, IcvThe parameters are reliability critical working current intensity parameters of the lightning arrester, lambda is an error coefficient, zeta is an integral variable, and mu is a reliability coefficient of the lightning arrester;
model optimization is performed on the formula (1) to obtain lambda which minimizes the error0The method comprises the following specific steps:
a) randomly generating an initial solution lambda, and establishing an objective function f (lambda):
wherein f (λ) represents an objective function, μjIs the reliability coefficient of the arrester at jth air moisture content, IsjThe measured value of the working current intensity parameter under the jth air water content is obtained, and m is the number of data sets of the corresponding test working current intensity parameter;
b) obtaining a new solution lambda ' by a natural heuristic search mode, and calculating a function delta f ═ f (lambda) -f (lambda '), if f (lambda) < f (lambda '), using lambda as the new solution; otherwise, taking the lambda' as a new solution;
c) judging whether a termination condition is met, if so, finishing the operation and outputting an optimal solution, otherwise, returning to the step b);
the third step: correcting the reliability coefficient of the lightning arrester to obtain a corrected reliability coefficient calculation formula of the lightning arrester:
in the formula (3), mu0For corrected reliability coefficient of lightning arrester, lambda0The error coefficient after optimization;
the fourth step: assessing the reliability state of the lightning arrester when mu0When the element belongs to (0, 1), the reliability state of the lightning arrester is represented to be normal;when mu is0When the lightning arrester belongs to the state of 1, the reliability state of the lightning arrester is represented to be abnormal, and the lightning arrester needs to be powered off and repaired or replaced as soon as possible.
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| CN114441885B (en) * | 2022-01-14 | 2022-12-30 | 西南交通大学 | Lightning arrester aging state assessment method considering wind speed and illumination factors |
| CN114778956B (en) * | 2022-04-20 | 2024-07-05 | 广东海洋大学 | Evaluation method of bushing insulation performance of seaside substation considering the influence of salt water |
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