CN109064056B - Power transmission line lightning protection measure selection method based on grey correlation analysis method - Google Patents
Power transmission line lightning protection measure selection method based on grey correlation analysis method Download PDFInfo
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Abstract
The invention provides a method for selecting lightning protection measures of a power transmission line based on a grey correlation analysis method, which can be used for optimally selecting the lightning protection measures of the power transmission line towers by adopting the grey correlation analysis method based on the specific conditions of each base tower, reliably obtaining the optimal lightning protection measures of the power transmission line and objectively and reliably evaluating the application effect of the lightning protection measures.
Description
Technical Field
The invention relates to the technical field of power transmission line lightning protection, in particular to a power transmission line lightning protection measure selection method based on a grey correlation analysis method.
Background
In recent years, power grid operation faults caused by lightning strike frequently occur, and line power failure caused by lightning strike on an overhead power transmission line is a main accident type of the power transmission line in China. Many transmission lines inevitably pass through areas with much thunder, high soil resistivity and complex terrain, and various lightning protection measures are necessary to improve the lightning resistance level of the transmission lines in order to reduce the lightning trip of the transmission lines in the areas. With the shortage of line corridors, double-circuit or multi-circuit transmission lines on the same tower are increased day by day, and the height of the tower is increased; due to the construction of the highway, data of the tower with large span is increased rapidly, and the probability of lightning strike on the transmission line tower is increased greatly by the factors. Effective measures are taken to improve the lightning protection performance of the line (such as lightning protection measures of reducing tower grounding resistance, strengthening insulation level, erecting coupling ground wires, installing anti-shielding side needles, installing line lightning arresters and the like). The application purpose and the effect after implementation of various lightning protection measures are different, and the cost and the difficulty for implementing different measures in different areas are different.
However, in actual engineering, extensive lightning protection reconstruction management modes are still adopted in many areas, characteristics of power transmission lines and lightning protection measures are not considered, and single lightning protection measures are selected for treatment without difference, so that the treatment effect is not obvious, and the modified tower needs to be subjected to secondary reconstruction, so that manpower and material resources are greatly wasted. The lightning protection measure evaluation model has the defects of large subjective influence of people, incomplete considered influence factors and the like, and cannot objectively and reliably evaluate the application effect of the lightning protection measure.
Therefore, before lightning protection transformation is carried out, comprehensive evaluation is carried out on lightning protection measures, and measures with higher technical economy are selected according to evaluation results, which are key links for improving the lightning protection transformation effect.
Disclosure of Invention
The invention aims to provide a method for selecting a lightning protection measure of a power transmission line based on a grey correlation analysis method, so as to solve the problems in the background technology.
The invention is realized by the following technical scheme: a method for selecting a lightning protection measure of a power transmission line based on a grey correlation analysis method comprises the following steps:
s1: acquiring corresponding data information of the transmission line and the tower in a corresponding area, and calculating the lightning trip-out rate X of each base tower of the transmission line in the area;
s2: determining a control index P of the lightning trip-out rate X of the power transmission line in a corresponding area, dividing the risk grade of the power transmission line according to the relationship between the lightning trip-out rate X of the power transmission line and the control index P, and determining a base tower needing lightning protection reconstruction according to the risk grade;
s3: establishing a comprehensive analysis model for optimizing and selecting lightning protection measures of the base tower, determining an evaluation index of the lightning protection measures of the base tower, grading the evaluation index, and establishing an initial decision matrix based on a grey correlation analysis method;
s4: carrying out normalization processing on the initial decision matrix to obtain a normalized decision matrix R, and solving the optimal value and the virtual ideal solution of each index;
s5: calculating correlation coefficient according to grey correlation analysis method
S6: determining the weight of each index according to an analytic hierarchy process, and further solving the grey correlation degree of each lightning protection measure and an ideal solution;
s7: and taking the grey correlation degree of each lightning protection measure and the ideal solution as a comprehensive evaluation index, and obtaining the optimal sequence of the lightning protection measures according to the magnitude of the comprehensive index.
Preferably, in step S1, the corresponding data information includes a tower number of the transmission line, a tower model, a tower longitude and latitude, a tower pitch, a span, a terrain, a ground resistance, a ground flash density, and a structure diagram of each tower in the transmission line; the method comprises the steps of determining the type of a wire of the power transmission line, the radius of the wire, the direct current resistance of the wire, the split number of the wire and the distance between the wires; the system also comprises the model of the ground wire of the power transmission line, the radius of the ground wire, the direct-current resistance of the ground wire, the model of the insulator string, the length and the dry arc distance information.
Preferably, the root opening data of each tower is obtained according to the structure diagram of each tower; determining a left inclination angle, a right inclination angle, an altitude and soil resistivity of each base tower according to the tower longitude and latitude; and calculating the conductor sag and the ground wire sag of each base tower according to the span between the towers.
Preferably, a lightning trip-out rate model, a lightning current model, a power transmission line model, a tower model, a ground resistance model and an insulator flashover model of the power transmission line tower are established in simulation software, corresponding data information of the power transmission line and the tower is input into the models to obtain the shielding failure trip-out rate and the counterattack trip-out rate of each base tower, and the sum of the shielding failure trip-out rate and the counterattack trip-out rate is the lightning trip-out rate X.
Preferably, in step S2, determining a control index P of a lightning trip-out rate X of each region according to thunderstorm days of each region, and dividing the risk level of the power transmission line into A, B, C, D levels according to the relationship between the lightning trip-out rate X of the power transmission line and the control index P, wherein the level a range is that X is less than 0.5P; the range of the B level is that X is more than or equal to 0.5P and less than P; the range of C grade is that X is not less than P and less than 1.5P; and D-level range is that X is more than or equal to 1.5P, and the risk level that the lightning trip-out rate X is more than or equal to the control index P is judged to be the base tower needing lightning protection reconstruction.
Preferably, in step S3, the evaluation index includes a lightning trip-out rate X reduction effect, engineering cost, a modification difficulty level, a maintenance difficulty level, and an operation life, and the establishing an initial decision matrix includes the following steps:
s31, establishing factor domain U-U according to lightning protection measures1，u2，…，un}；
S32, establishing a comment domain V-V according to the evaluation index1，V2，…，Vm}；
S33, establishing the following initial decision matrix according to the factor discourse domain U and the comment discourse domain V:
wherein i is 1, 2,3, …, m; j is 1, 2,3, …, n.
Preferably, in step S4, the method for normalizing the initial decision matrix includes:
s41, normalizing the characteristic value of the initial decision matrix by adopting the following formula:
s42, obtaining the following normalized decision matrix R according to the characteristic value normalization processing result:
the optimal solution R can be obtained from the normalized decision matrix R*j＝maxrijThe virtual ideal solution R*j＝[r*1,r*2,r*3,…,r*n]Wherein r isijAre the corresponding elements in the normalized decision matrix R.
Preferably, in step S5, the gray correlation coefficient ∈ of the ith evaluation object with the virtual ideal solution on the jth index is calculated as:
according to the formula, a gray correlation coefficient matrix R of the evaluation object and the virtual ideal solution can be obtained+Comprises the following steps:
R+＝[εij]m*n
in the formula, i is 1, 2,3, …, m; j is the resolution factor of 1, 2,3, …, n, rho is [0,1 ].
Preferably, the step of determining the weight of the evaluation index by using an analytic hierarchy process and performing consistency check comprises:
s61, establishing a judgment matrix, comparing every two indexes, judging the relative importance of each index in the same layer, and listing the judgment matrix A as follows:
Vi:Vj＝aij
A＝(aij)n*m
in the formula, ViIs an evaluation index, VjAs another evaluation index, aijFor the scale, the criteria are: when the scale is 1, it indicates that the two indexes have equal importance; when the scale is 3, V is representediRatio VjOf slight importance; when the scale is 5, it represents ViRatio VjIs obviously important; when the scale is 7, it represents ViRatio VjIs of great importance; when the scale is 9, it represents ViRatio VjExtremely important;
s62, calculating the characteristic vector of the maximum characteristic root of the judgment matrix A, wherein the vector is the weight vector wj；
And S63, performing consistency check on the judgment matrix A.
Preferably, in step S6, according to the analytic hierarchy process, the gray correlation between the final i-th evaluation object and the virtual ideal solution is obtained as follows:
wherein, wjIs the weight of the jth index, GiThe overall degree of association of the evaluation object i with the virtual ideal solution can be characterized.
Compared with the prior art, the invention has the following beneficial effects:
according to the method for selecting the lightning protection measures of the power transmission line based on the grey correlation analysis method, the optimal lightning protection measures of the power transmission line can be reliably obtained by adopting the grey correlation analysis method to optimally select the lightning protection measures of the power transmission line based on the specific conditions of each base tower.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only preferred embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to these drawings without inventive exercise.
Fig. 1 is a structural diagram of a method for selecting a lightning protection measure of a power transmission line based on a gray correlation analysis method according to the present invention.
Fig. 2 is an evaluation scale provided by an embodiment of the present invention.
Detailed Description
In order to better understand the technical content of the invention, specific embodiments are provided below, and the invention is further described with reference to the accompanying drawings.
Referring to fig. 1, a method for selecting a lightning protection measure of a power transmission line based on a gray correlation analysis method includes the following steps:
s1: acquiring corresponding data information of the transmission line and the tower in a corresponding area, and calculating the lightning trip-out rate X of each base tower of the transmission line in the area;
s2: determining a control index P of the lightning trip-out rate X of the power transmission line in a corresponding area, dividing the risk grade of the power transmission line according to the relationship between the lightning trip-out rate X of the power transmission line and the control index P, and determining a base tower needing lightning protection reconstruction according to the risk grade;
s3: establishing a comprehensive analysis model for optimizing and selecting lightning protection measures of the base tower, determining an evaluation index of the lightning protection measures of the base tower, grading the evaluation index, and establishing an initial decision matrix based on a grey correlation analysis method;
s4: carrying out normalization processing on the initial decision matrix to obtain a normalized decision matrix R, and solving the optimal value and the virtual ideal solution of each index;
s5: calculating correlation coefficient according to grey correlation analysis method
S6: determining the weight of each index according to an analytic hierarchy process, and further solving the grey correlation degree of each lightning protection measure and an ideal solution;
s7: and taking the grey correlation degree of each lightning protection measure and the ideal solution as a comprehensive evaluation index, and obtaining the optimal sequence of the lightning protection measures according to the magnitude of the comprehensive index.
Specifically, collecting the number of a tower of the power transmission line, the model of the tower, the longitude and latitude of the tower, the call height of the tower, the span, the terrain, the grounding resistance, the ground flash density and the structure diagram of each tower in the power transmission line; collecting the type of a lead, the radius of the lead, the direct current resistance of the lead, the split number of the lead and the distance between the leads of the power transmission line; collecting data of the type of the ground wire, the radius of the ground wire, the direct current resistance of the ground wire, the type and the length of the insulator string and the dry arc distance, and establishing a lightning strike transmission line calculation statistical database according to the data; the root opening of each tower can be obtained according to the tower structure diagram; determining a left inclination angle, a right inclination angle and an altitude height of the tower on a Google map according to the longitude and latitude of the tower, and determining the soil resistivity of the area where the tower is located according to the geographical position of the tower; respectively calculating the conductor sag and the ground wire sag of the towers according to the angle method of the gear ends through the span between the towers;
and establishing a lightning stroke trip rate model of the power transmission line tower in the ATP-EMTP according to the data, wherein the shielding stroke trip rate calculation model adopts an electrical geometric model, the counterattack trip rate calculation model adopts an electromagnetic transient analysis model, the lightning current model adopts a double exponential wave fitting model, the power transmission line model adopts a Jmarti line model, the tower model adopts a multi-wave impedance model, the ground resistance model adopts an impact ground resistance model, the insulator flashover model adopts a pilot method model, and then the shielding stroke trip rate and the counterattack trip rate of each base tower can be calculated after the data in the lightning stroke power transmission line calculation statistical database is input into the model established by the ATP-EMTP.
The example is 110kV red power line in Johai city, Hainan province.
Firstly, collecting data information of 110kV red-riding-line of Johai city, Hainan province to obtain a calculation database of a lightning strike power transmission line, and substituting the data into an established lightning strike trip-out rate calculation model of the power transmission line to obtain the shielding failure and counterattack trip-out rates of all towers of the 110kV red-riding-line.
According to the obtained shielding failure trip rate and counterattack trip rate of the tower and the regulation in the eighty-nine item of 110(66) kV-500 kV overhead transmission line management standard: and after the 40 thunderstorm days are reduced, the lightning trip-out rate of the 110kV power transmission line is not more than 0.525 times/hundred kilometer per year, and the lightning trip-out rate of the 220kV power transmission line is not more than 0.315 times/hundred kilometer per year. Referring to the above standards, each region determines a control index P of a lightning trip-out rate X of each region according to the thunderstorm day of the region, the flashover risk grade of the power transmission line is divided into A, B, C, D grades according to the relation between the line trip-out rate X and the control index P, the level A is that the trip-out rate of a line tower reaches below 0.5 times of the control index, the level B is that the trip-out rate of the line reaches 0.5-1 times of the control index, and the level C is that the trip-out rate of the line reaches 1-1.5 times of the control index; the D level is that the trip rate of the line is more than 1.5 times of the control index. And dividing the flashover risk grade of each tower, and determining the towers with flashover risk grades of the transmission line of C and D as the towers needing lightning protection transformation. The relationship between trip rate and risk level is shown in Table 1
TABLE 1
| Trip rate X | X＜0.5P | 0.5P≤X＜P | P≤X＜1.5P | X≥1.5P |
| Risk rating | A | B | C | D |
And obtaining the lightning trip-out rate index value of 1.385 times/hundred kilometers per year in the John's region according to 110(66) kV-500 kV overhead transmission line management specifications, so that the pole tower to be modified is selected as shown in a table 2, and the total trip-out rate in the table 2 is the sum of the shielding failure trip-out rate and the counterattack trip-out rate.
TABLE 2
The data for lightning strike are obtained from table 2: 2011.6.21, #85- #86 rod lightning strikes; 2011.8.27, #130- #131 pole lightning strikes; 2011.9.18. #86 post AC phase insulator is struck by lightning; 2012.5.30, the #86 pole C-phase insulator has lightning stroke traces; a #32 rod to a #33 rod is struck by lightning 2012.7.31, and a A, C phase composite insulator at a #128 tower is struck by lightning; #144 pole lightning strike; 2013.7.15, the AB phase insulator of #70 tower has lightning flashover discharge trace; 2013.8.20, the AC phase composite insulator at the tower N131 is marked by lightning strike.
Therefore, the towers to be modified include #32, #33, #70, #85, #128, #130 and #131 towers in addition to those shown in table 2.
Further, in step S3, the evaluation indexes include a lightning trip-out rate X reduction effect, engineering cost, a modification difficulty level, a maintenance difficulty level, and an operation life, and the five evaluation indexes are respectively in one-to-one correspondence with the lightning protection measures that can be adopted, and the evaluation indexes are interval indexes. Then, the evaluation grades of the evaluation indexes corresponding to the lightning protection measures are divided into 5 grades, and the evaluation grades respectively correspond to 5 standard values, namely low, medium, high and high, as shown in fig. 2, the establishing of the initial decision matrix comprises the following steps:
s31, establishing factor domain U-U according to lightning protection measures1，u2，…，un}；
S32, establishing a comment domain V-V according to the evaluation index1，V2，…，Vm}；
S33, establishing the following initial decision matrix according to the factor discourse domain U and the comment discourse domain V:
wherein i is 1, 2,3, …, m; j is 1, 2,3, …, n.
Taking #86 tower as an example, the scoring results of each lightning protection measure relative to five evaluation indexes are shown in table 3:
TABLE 3
And establishing an initial decision matrix set as a grey correlation analysis method according to the grading data in the table 3 by the method.
In step S4, the method for normalizing the obtained initial decision matrix includes:
s41, normalizing the characteristic value of the index level matrix by adopting the following formula:
rij＝Xij/maxXij
rij＝maxXij/Xij
s35, obtaining the following normalization matrix R according to the characteristic value normalization processing result:
the optimal solution R can be obtained from the normalized decision matrix R*＝maxrijThe virtual ideal solution R*j＝[r*1,r*2,r*3,…,r*n]Wherein r isijAre the corresponding elements in the normalized decision matrix R.
In step S5, a gray correlation coefficient ∈ between the ith evaluation object and the virtual ideal solution on the jth index is calculated as:
according to the formula, a gray correlation coefficient matrix R of the evaluation object and the virtual ideal solution can be obtained+Comprises the following steps:
R+＝[εij]m*n
specifically, the method comprises the following steps of determining the weight of each index by using an analytic hierarchy process, and carrying out consistency check:
s61, establishing a judgment matrix, comparing every two indexes, judging the relative importance of each index in the same layer, and listing the judgment matrix A as follows:
Vi:Vj＝aij
A＝(aij)n*m
substituting the data can obtain a judgment matrix A:
in the formula, ViIs an evaluation index, VjAs another evaluation index, aijFor the scale, the criteria are: when the scale is 1, it indicates that the two indexes have equal importance; when the scale is 3, V is representediRatio VjOf slight importance; when the scale is 5, it represents ViRatio VjIs obviously important; when the scale is 7, it represents ViRatio VjIs of great importance; when the scale is 9, it represents ViRatio VjOf extreme importance.
S62, calculating the feature vector of the maximum feature root of the judgment matrix A, wherein the vector is the weight vector, and the calculation is carried out to obtain:
wj＝[0.4659 0.2009 0.1555 0.0598 0.1179]T
(3) and carrying out consistency check on the calculation result. The obtained product has CI of 0.0503, CR of 0.0449 and CR of 0.1, so it is satisfactory.
Calculating the gray correlation degree of the ith evaluation object and the ideal solution as follows:
wherein, wjIs the weight of the jth index, GiThe overall degree of association of the evaluation object i with the virtual ideal solution can be characterized.
Obtaining:
and taking the grey correlation degree as a comprehensive index of the lightning protection measures, wherein the greater the grey correlation degree is, the higher the priority of the lightning protection measures is. For a #86 tower, the corresponding lightning protection measures are preferably performed in the following order: 1. the insulation level is strengthened. 2. And installing a lightning arrester. 3. And the grounding resistance of the tower is reduced. 4. And additionally installing a protection gap. 5. And erecting a coupling ground wire. 6. And installing a lightning protection side needle. And analyzing and calculating other towers needing to be modified of the line according to the steps to obtain the lightning protection modification measures of the whole line.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like made within the spirit and principle of the present invention should be included in the scope of the present invention.
Claims (6)
1. A method for selecting a lightning protection measure of a power transmission line based on a grey correlation analysis method is characterized by comprising the following steps:
s1, acquiring corresponding data information of the transmission lines and the towers in the corresponding areas, and calculating the lightning trip-out rate X of each base tower of the transmission lines in the areas;
s2, determining a control index P of the lightning trip-out rate X of the power transmission line in the corresponding area, dividing the risk grade of the power transmission line according to the relationship between the lightning trip-out rate X of the power transmission line and the control index P, and determining a base tower needing lightning protection reconstruction according to the risk grade;
s3, establishing a lightning protection measure optimization selection comprehensive analysis model for the base tower, determining an evaluation index of the lightning protection measure of the base tower, scoring the evaluation index, and establishing an initial decision matrix based on a grey correlation analysis method, wherein the establishment of the initial decision matrix comprises the following steps:
s31, establishing factor domain U-U according to lightning protection measures1，u2，…，un}；
S32, establishing a comment domain V-V according to the evaluation index1，V2，…，Vm}；
S33, establishing the following initial decision matrix according to the factor discourse domain U and the comment discourse domain V:
wherein i is 1, 2,3, …, m; j is 1, 2,3, …, n;
s4, carrying out normalization processing on the initial decision matrix to obtain a normalized decision matrix R, and solving the optimal value and the virtual ideal solution of each index, wherein the method for normalizing the initial decision matrix comprises the following steps:
s41, normalizing the characteristic value of the initial decision matrix by adopting the following formula, wherein the greater and the better type of data are processed by the following method:
rij＝Xij/maxXij
the smaller and more optimal data are processed in the following way:
rij＝maxXij/Xij
s42, obtaining the following normalized decision matrix R according to the characteristic value normalization processing result:
the optimal solution R can be obtained by normalizing the decision matrix R*j＝maxrijThe virtual ideal solution R*j＝[r*1,r*2,r*3,…,r*n]Wherein r isijAs corresponding elements in the normalized decision matrix R;
s5, calculating a correlation coefficient according to a grey correlation analysis method, wherein the specific calculation method of the correlation coefficient epsilon is as follows:
according to the formula, a gray correlation coefficient matrix R of the evaluation object and the virtual ideal solution can be obtained+Comprises the following steps:
R+＝[εij]m*n
in the formula, i is 1, 2,3, …, m; j is the resolution coefficient of 1, 2,3, …, n, rho is [0,1 ];
s6, determining the weight of each index according to an analytic hierarchy process, and further solving the grey correlation degree of each lightning protection measure and an ideal solution, wherein the specific method comprises the following steps:
s61, establishing a judgment matrix, comparing every two indexes, judging the relative importance of each index in the same layer, and listing the judgment matrix A as follows:
Vi:Vj＝aij
A＝(aij)n*m
in the formula, ViIs an evaluation index, VjAs another evaluation index, aijFor the scale, the criteria are: when the scale is 1, it indicates that the two indexes have equal importance; when the scale is 3, V is representediRatio VjOf slight importance; when the scale is 5, it represents ViRatio VjIs obviously important; when the scale is 7, it represents ViRatio VjIs of great importance; when the scale is 9, it represents ViRatio VjIs extremely heavyTo be administered；
S62, calculating the characteristic vector of the maximum characteristic root of the judgment matrix A, wherein the vector is the weight vector wj；
S63, carrying out consistency check on the judgment matrix A;
s64, obtaining the gray correlation degree of the final ith evaluation object and the virtual ideal solution as follows:
wherein, wjIs the weight of the jth index, GiRepresenting the overall association degree epsilon of the evaluation object i and the virtual ideal solutionijA gray correlation coefficient for the ith evaluation object on the jth index with the virtual ideal solution;
and S7, taking the grey correlation degree of each lightning protection measure and the ideal solution as a comprehensive evaluation index, and obtaining the optimal sequence of the lightning protection measures according to the magnitude of the comprehensive index.
2. The method for selecting the lightning protection measure of the power transmission line based on the gray correlation analysis method as claimed in claim 1, wherein in step S1, the corresponding data information includes the number of the tower of the power transmission line, the model of the tower, the longitude and latitude of the tower, the call height of the tower, the span, the terrain, the ground resistance, the ground flash density and the structure diagram of each tower in the power transmission line; the method comprises the steps of determining the type of a wire of the power transmission line, the radius of the wire, the direct current resistance of the wire, the split number of the wire and the distance between the wires; the system also comprises the model of the ground wire of the power transmission line, the radius of the ground wire, the direct-current resistance of the ground wire, the model of the insulator string, the length and the dry arc distance information.
3. The method for selecting the lightning protection measure of the power transmission line based on the gray correlation analysis method as claimed in claim 2, wherein the root data of each tower is obtained according to the structure diagram of each tower; determining a left inclination angle, a right inclination angle, an altitude and soil resistivity of each base tower according to the tower longitude and latitude; and calculating the conductor sag and the ground wire sag of each base tower according to the span between the towers.
4. The method for selecting the lightning protection measures of the power transmission line based on the gray correlation analysis method is characterized in that a lightning trip-out rate model, a lightning current model, a power transmission line model, a pole tower model, a ground resistance model and an insulator flashover model of the power transmission line pole tower are established in simulation software, corresponding data information of the power transmission line and the pole tower is input into the models to obtain a shielding failure trip-out rate and a counterattack trip-out rate of each base pole tower, and the sum of the shielding failure trip-out rate and the counterattack trip-out rate is a lightning trip-out rate X.
5. The method for selecting the lightning protection measure of the power transmission line based on the gray correlation analysis method as claimed in claim 4, wherein in step S2, the lightning trip-out rate X control index P of each region is determined according to the thunderstorm day of each region, and the risk level of the power transmission line is divided into A, B, C, D levels according to the relationship between the lightning trip-out rate X of the power transmission line and the control index P, wherein the A level range is that X is less than 0.5P; the range of the B level is that X is more than or equal to 0.5P and less than P; the range of C grade is that X is not less than P and less than 1.5P; and D-level range is that X is more than or equal to 1.5P, and the risk level that the lightning trip-out rate X is more than or equal to the control index P is judged to be the base tower needing lightning protection reconstruction.
6. The method for selecting the lightning protection measure of the power transmission line based on the gray correlation analysis method as claimed in claim 5, wherein in step S3, the evaluation indexes include the reduction effect of the lightning trip-out rate X, the engineering cost, the reconstruction difficulty, the maintenance difficulty and the operation life.
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| CN111666690B (en) * | 2020-06-11 | 2023-10-20 | 海南电网有限责任公司 | Sag analysis method, device, equipment and medium for transmission line wires |
| CN112131721A (en) * | 2020-09-07 | 2020-12-25 | 中国电力科学研究院有限公司 | Method and system for lightning protection of power transmission line |
| CN112380734A (en) * | 2020-12-10 | 2021-02-19 | 海南电网有限责任公司电力科学研究院 | Transmission line lightning protection measure optimal selection method based on TOPSIS method |
| CN112396253B (en) * | 2020-12-11 | 2022-05-24 | 海南电网有限责任公司电力科学研究院 | Power transmission line lightning protection measure optimal selection method based on CRITIC method |
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