CN112257028A - Windage yaw flashover fault probability calculation method and device of power transmission line - Google Patents
Windage yaw flashover fault probability calculation method and device of power transmission line Download PDFInfo
- Publication number
- CN112257028A CN112257028A CN202011112332.0A CN202011112332A CN112257028A CN 112257028 A CN112257028 A CN 112257028A CN 202011112332 A CN202011112332 A CN 202011112332A CN 112257028 A CN112257028 A CN 112257028A
- Authority
- CN
- China
- Prior art keywords
- tower
- calculating
- layer
- flashover
- windage yaw
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/16—Matrix or vector computation, e.g. matrix-matrix or matrix-vector multiplication, matrix factorization
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Computational Mathematics (AREA)
- Mathematical Optimization (AREA)
- Theoretical Computer Science (AREA)
- Pure & Applied Mathematics (AREA)
- Mathematical Analysis (AREA)
- Algebra (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- General Engineering & Computer Science (AREA)
- Operations Research (AREA)
- Probability & Statistics with Applications (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Life Sciences & Earth Sciences (AREA)
- Evolutionary Biology (AREA)
- Computing Systems (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Wind Motors (AREA)
Abstract
The embodiment of the invention discloses a method and a device for calculating a windage yaw flashover fault probability of a power transmission line. The fault probability calculation method comprises the following steps: calculating the wind deflection flashover probability corresponding to each tower on the power transmission line; constructing a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, wherein the hierarchical structure model comprises a target layer, a standard layer and a scheme layer, the target layer is tower section windage yaw flashover risk, the standard layer is tower percentages with different risk levels, and the scheme layer is a tower section; calculating a weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model; and determining the wind deflection flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deflection flashover risk. The influence of tower distribution of different risk grades in each tower section on the windage yaw flashover risk evaluation result is fully considered, so that the evaluation result of the windage yaw flashover risk of each section of the power transmission line is more accurate.
Description
Technical Field
The embodiment of the invention relates to the technical field of power grid fault protection, in particular to a method and a device for calculating a windage yaw flashover fault probability of a power transmission line.
Background
A large number of overhead transmission lines and other transmission equipment in a power grid are exposed to the atmospheric environment for a long time, and the operation safety of the transmission equipment is directly related to the operation safety of a power system. Wind deflection discharge of a power transmission line is one of the problems influencing safe operation of the line, once wind deflection tripping occurs, the probability of line shutdown is very high, the power supply reliability is seriously influenced, and great economic loss is caused.
At present, the research on windage yaw flashover at home and abroad is mainly focused on a windage yaw fault analysis and windage yaw angle calculation model, the research on the calculation of the windage yaw flashover fault probability is less, the relation between the windage yaw flashover fault probability and the minimum air gap is obtained by fitting the exponential distribution of the minimum air gap and the actual windage flashover, and the relation between the windage flashover fault probability and the minimum air gap is also obtained by fitting the linear equation of the minimum air gap and the safety distance.
However, the failure probability of windage yaw flashover calculated by the method is not very accurate, and a more accurate method for calculating the failure probability of windage yaw flashover is urgently needed to be researched, so that the problem of calculating the failure probability of windage yaw flashover under a strong wind disaster is solved.
Disclosure of Invention
The invention provides a method and a device for calculating a windage yaw flashover fault probability of a power transmission line, which are used for accurately calculating the windage yaw flashover fault probability and solving the difficult problem of calculating the windage yaw flashover fault probability under a strong wind disaster.
The embodiment of the invention provides a method for calculating the wind deflection flashover fault probability of a power transmission line, which comprises the following steps:
calculating the wind deflection flashover probability corresponding to each tower on the power transmission line;
constructing a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, wherein the hierarchical structure model comprises a target layer, a standard layer and a scheme layer, the target layer is tower section windage yaw flashover risk, the standard layer is tower percentages with different risk levels, and the scheme layer is a tower section;
calculating a weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model;
and determining the wind deflection flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deflection flashover risk.
Optionally, the constructing a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower includes:
dividing towers on the transmission line into different tower sections, and taking the tower sections as the scheme layer;
dividing risk levels according to the windage yaw flashover probability of each tower on the power transmission line;
calculating the percentage of each risk grade tower of each tower section according to the windage yaw flashover probability of each tower in each tower section, and taking the percentage of each risk grade tower as the criterion layer;
and taking the tower section windage yaw flashover risk as the target layer.
Optionally, the calculating a weight vector of each tower section for the windage yaw flashover risk according to the hierarchical structure model includes:
calculating the weight vector of the scheme layer alignment rule layer corresponding to each tower section according to the percentage of each risk grade tower in each tower section, wherein the weight vector of the scheme layer alignment rule layer corresponding to each tower section forms a weight coefficient matrix of the scheme layer to the rule layer;
determining a weight vector of the criterion layer to the target layer according to each risk level;
and calculating the weight vector of each tower section to the windage yaw flashover risk according to the weight coefficient matrix of the scheme layer to the criterion layer and the weight vector of the criterion layer to the target layer.
Optionally, the calculating, according to the percentage of each risk class tower in each tower section, a weight vector of the scheme layer to the criterion layer corresponding to each tower section, and the weight vector of the scheme layer to the criterion layer corresponding to each tower section form a weight coefficient matrix of the scheme layer to the criterion layer, includes:
calculating a comparison matrix by adopting a three-scale method according to the percentage of each risk grade tower aiming at each tower section;
constructing a judgment matrix according to the comparison matrix;
calculating a consistent matrix according to the judgment matrix;
calculating a weight vector of the scheme layer to the criterion layer according to the consistent matrix;
and the weight vectors of the scheme layer to the standard layer corresponding to the tower sections form a weight coefficient matrix of the scheme layer to the standard layer.
Optionally, the determining a weight vector of the criterion layer to the target layer according to each risk level includes:
calculating a comparison matrix by adopting a three-scale method according to each risk grade;
constructing a judgment matrix according to the comparison matrix;
calculating a consistent matrix according to the judgment matrix;
calculating a weight vector of the criterion layer to the target layer according to the consistent matrix;
optionally, the determining, according to the weight vector of each tower section for the windage yaw flashover risk, the windage yaw flashover fault probability of the power transmission line includes:
calculating the wind deflection flashover probability average value of each tower section according to the wind deflection flashover probability of the tower in each tower section;
and determining the wind deflection flashover fault probability of the power transmission line according to the wind deflection flashover probability average value of each tower section and the weight vector of each tower section to the wind deflection flashover risk.
Optionally, the calculating a wind deflection flashover probability corresponding to each tower on the power transmission line includes:
acquiring real-time data of wind speed on a tower, and fitting the real-time data of the wind speed to construct a generalized pareto distribution model of the wind speed;
randomly extracting wind speed data according to the generalized pareto distribution model of the wind speed, and calculating a wind drift angle according to the wind speed data;
calculating the minimum air gap between the wire and the tower according to the wind deflection angle;
and determining the wind deflection flashover probability of the tower according to a plurality of minimum air gaps and safety gaps corresponding to the plurality of wind speed data of the tower.
Optionally, the randomly extracting wind speed data according to the generalized pareto distribution of the wind speed, and calculating a wind drift angle according to the wind speed data includes:
calculating horizontal wind load and insulator string wind load based on the extracted wind speed data;
and calculating the wind drift angle according to the horizontal wind load and the insulator string wind load.
Optionally, the calculating the minimum air gap between the conductor and the tower according to the wind deflection angle includes:
calculating the minimum air gap between the wire and the tangent tower;
calculating the minimum air gap between the lead and the strain tower;
and taking the smaller of the minimum air gap between the lead and the linear tower and the minimum air gap between the lead and the strain tower as the minimum air gap between the lead and the tower.
The embodiment of the invention also provides a device for calculating the wind deflection flashover fault probability of the power transmission line, which comprises the following steps:
the tower windage yaw flashover probability calculation module is used for calculating the windage yaw flashover probability corresponding to each tower on the power transmission line;
the model building module is used for building a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, wherein the hierarchical structure model comprises a target layer, a criterion layer and a scheme layer, the target layer is the windage yaw flashover risk of a tower section, the criterion layer is the percentage of towers with different risk levels, and the scheme layer is the tower section;
the weight vector calculation module is used for calculating the weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model;
and the fault probability calculation module is used for determining the wind deflection flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deflection flashover risk.
The embodiment of the invention provides a method and a device for calculating the windage yaw flashover fault probability of a power transmission line, wherein a hierarchical structure model is constructed according to the windage yaw flashover probability corresponding to each tower on the power transmission line, the constructed hierarchical structure model comprises a target layer, a standard layer and a scheme layer, the target layer is the windage yaw flashover risk of a tower section, the standard layer is the percentage of towers with different risk levels, the scheme layer is a tower section, the weight vector of each tower section to the windage flashover risk is calculated according to the hierarchical structure model, finally, the windage flashover fault probability of the power transmission line is determined, the influence of the distribution of the towers with different risk levels in each tower section to the windage flashover risk evaluation result is fully considered, the evaluation result of the windage yaw flashover risk of each section of the power transmission line is more accurate, and the method for calculating the windage yaw flashover fault probability of the power transmission line is more, the method is convenient to implement, high in real-time performance and accuracy and capable of providing a more accurate fault probability calculation basis for windage yaw flashover of the power transmission line.
Drawings
Fig. 1 is a flowchart of a method for calculating a windage yaw flashover fault probability of a power transmission line according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method for calculating a windage yaw flashover fault probability of a power transmission line according to a second embodiment of the present invention.
Fig. 3 is a schematic diagram of a hierarchical structure model according to a second embodiment of the present invention.
Fig. 4 is a flowchart of a method for calculating a windage yaw flashover fault probability of a power transmission line according to a third embodiment of the present invention.
Fig. 5 is a schematic structural diagram of a windage yaw flashover fault probability calculation device for a power transmission line according to a fourth embodiment of the present invention.
Detailed Description
The present invention will be described in further detail with reference to the accompanying drawings and examples. It is to be understood that the specific embodiments described herein are merely illustrative of the invention and are not limiting of the invention. It should be further noted that, for the convenience of description, only some of the structures related to the present invention are shown in the drawings, not all of the structures.
Example one
Fig. 1 is a flowchart of a method for calculating a windage yaw flashover fault probability of an electric transmission line according to an embodiment of the present invention, where the embodiment is applicable to a case of calculating a windage yaw flashover fault probability under a strong wind disaster, and the method may be executed by a windage yaw flashover fault probability calculating device of an electric transmission line, and with reference to fig. 1, the calculating method specifically includes the following steps:
s100, calculating the wind deflection flashover probability corresponding to each tower on the power transmission line;
the power transmission line comprises a line used for transmitting electric energy in a power grid, and the power transmission line of 110KV-500KV, particularly 220KV and 500KV main lines, and windage yaw flashover accidents occur more frequently, so the power transmission line can mainly refer to the power transmission line of 110KV-500KV, particularly 220KV and 500KV main lines. The method comprises the steps that a plurality of towers are usually arranged on a power transmission line, in the step, the windage yaw flashover probability of each tower is calculated respectively, wherein the windage yaw flashover probability corresponding to the tower is used for measuring the probability of windage yaw flashover of the tower.
S200, constructing a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, wherein the hierarchical structure model comprises a target layer, a standard layer and a scheme layer, the target layer is tower section windage yaw flashover risk, the standard layer is tower percentages with different risk levels, and the scheme layer is a tower section;
when the hierarchical structure model is constructed, the problem is decomposed into different composition factors according to the property of the problem and the total target to be achieved, and the factors are aggregated and combined according to different levels according to the mutual correlation influence and membership relationship among the factors to form a multi-level hierarchical structure model, so that the problem is finally summarized into the determination of the relatively important weight of the lowest layer (scheme layer for decision making) relative to the highest layer (total target) or the scheduling of the relatively good and bad order. In this embodiment, the lowest layer, i.e., the scheme layer, is a tower section, the criterion layer is percentage of towers with different risk levels, and the highest layer, i.e., the target layer, is the tower section windage yaw flashover risk, so that when the windage yaw flashover risk is evaluated, the probability of occurrence of windage yaw flashover fault can be determined according to importance of distribution of towers with different risk levels in each tower section to the windage yaw flashover risk.
S300, calculating a weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model;
when the weight vector of each tower section for the windage yaw flashover risk is calculated, the weight coefficient matrix of the scheme layer aligned to the standard layer and the weight vector of the standard layer to the target layer are calculated, and the weight vector of each tower section for the windage yaw flashover risk is calculated according to the weight coefficient matrix of the scheme layer to the standard layer and the weight vector of the standard layer to the target layer.
S400, determining the wind deflection flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deflection flashover risk.
Optionally, the wind offset flashover fault probability of the power transmission line may be calculated according to the cumulative sum of the average value of the wind offset flashover probabilities of the tower sections and the product of the weight vectors of the tower sections for the wind offset flashover risks.
The method for calculating the windage yaw flashover fault probability of the power transmission line provided by the embodiment of the invention is characterized in that a hierarchical structure model is constructed through the windage yaw flashover probability corresponding to each tower on the power transmission line, the constructed hierarchical structure model comprises a target layer, a standard layer and a scheme layer, wherein the target layer is tower section windage yaw flashover risk, the standard layer is tower percentage with different risk levels, and the scheme layer is a tower section, further, the weight vector of each tower section to the windage yaw flashover risk is calculated according to the hierarchical structure model, finally, the windage yaw flashover fault probability of the power transmission line is determined, the influence of the distribution of the towers with different risk levels in each tower section to the windage flashover risk evaluation result is fully considered, so that the evaluation result of the windage yaw flashover risk of each section of the power transmission line is more accurate, and the method for calculating the windage flashover fault, the method is convenient to implement, high in real-time performance and accuracy and capable of providing a more accurate fault probability calculation basis for windage yaw flashover of the power transmission line.
Example two
On the basis of the first embodiment, the steps of constructing a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, calculating the weight vector of each tower section for the windage yaw flashover risk according to the hierarchical structure model, and determining the windage yaw flashover fault probability of the power transmission line according to the weight vector of each tower section for the windage yaw flashover risk are refined. Fig. 2 is a flowchart of a method for calculating a windage yaw flashover fault probability of a power transmission line according to the second embodiment, and referring to fig. 2, the method for calculating the windage yaw flashover fault probability of the power transmission line specifically includes the following steps:
s500, calculating the wind deflection flashover probability corresponding to each tower on the power transmission line; this step may be the same as the S100 process in the first embodiment;
exemplarily, taking a certain 220KV transmission line of a certain power supply bureau as an example, the line consists of 29 poles and towers, the windage yaw flashover probability of each pole and tower is obtained through calculation, and the calculation result is shown in table 1.
S610, dividing towers on the power transmission line into different tower sections, and taking the tower sections as scheme layers;
when the tower sections are divided, the towers on the power transmission line can be divided in an equal division mode as far as possible, and after the division is completed, the tower sections are the scheme layers of the hierarchical structure model. Illustratively, the 29 towers are divided into four sections, wherein 1# -7# is tower section 1, 8# -14# is tower section 2, 15# -21# is tower section 3, and 22# -29# is tower section 4.
S620, dividing risk levels according to the windage yaw flashover probability of each tower on the power transmission line;
the method comprises the steps that a natural segmentation method is adopted to grade the windage yaw flashover probability of a tower on a line, namely when the windage yaw flashover probability is not less than 0 and p is less than 0.2, the risk grade is I grade, when the windage flashover probability is not less than 0.2 and p is not less than 0.4, the risk grade is II grade, when the windage flashover probability is not less than 0.4 and p is less than 0.6, the risk grade is III grade, when the windage flashover probability is not less than 0.6 and p is less than 0.8, the risk grade is IV grade, when the windage flashover probability is not less than 0.8 and p is not more than 1, the; wherein p represents the windage yaw flashover probability of the tower.
S630, calculating the percentage of each risk grade tower in each tower section according to the windage yaw flashover probability of each tower in each tower section, and taking the percentage of each risk grade tower as a criterion layer;
it is assumed that the wind deflection flashover probability and the risk level grading of the 29 towers are shown in table 1 according to calculation.
TABLE 1 Graded statistical table of windage yaw flashover probability and risk level
And S640, taking the tower section windage yaw flashover risk as a target layer.
The purpose of the technical scheme is to obtain the evaluation result of the windage yaw flashover risk of each tower section of the power transmission line, and judge the possibility of the tower failure according to the windage yaw flashover risk of the tower sections, so that the windage yaw flashover risk of the tower sections is used as a target layer. Fig. 3 is a schematic diagram of a hierarchical structure model provided in this embodiment, and the hierarchical structure model shown in fig. 3 may be constructed in steps S610 to S640.
S710, calculating a weight vector of a scheme layer alignment rule layer corresponding to each tower section according to the percentage of each risk level tower in each tower section, wherein the weight vector of the scheme layer alignment rule layer corresponding to each tower section forms a weight coefficient matrix of the scheme layer to the criterion layer; the method comprises the following specific steps:
s711, calculating a comparison matrix by adopting a three-scale method according to the percentage of each risk level tower for each tower section;
taking tower segment 2 as an example, the percentage of different risk classes obtained from table 1 is: the percentage of the I-grade rod tower is 71.4 percent, the percentage of the II-grade rod tower is 0 percent, the percentage of the III-grade rod tower is 14.3 percent, the percentage of the IV-grade rod tower is 14.3 percent, and the percentage of the V-grade rod tower is 0 percent. And (3) performing importance ranking according to the percentage of each risk level tower, wherein the higher the percentage is, the more important the risk level tower is, so that the importance ranking of the towers with the 5 risk levels is as follows: the second-level tower is the V-level tower and the third-level tower is the IV-level tower and the I-level tower.
And obtaining the importance sequence of each tower section according to the percentage of each risk level tower, and further obtaining a corresponding comparison matrix A:
wherein n is the number of the divided risk levels of the tower,
aijrepresenting the importance of the i-th factor compared with the j-th factor, i is more than or equal to 1 and less than or equal to n, and j is more than or equal to 1 and less than or equal to n.
The comparison table of the importance degrees obtained from the percentage of each stage of tower is shown in table 2:
TABLE 2 comparison table of importance degree of percentage of each stage of tower
As can be seen from Table 2, the comparison matrix
S712, constructing a judgment matrix according to the comparison matrix;
judgment matrix
Wherein the content of the first and second substances,
calculating to obtain a judgment matrix according to the formula
S713, calculating a consistent matrix according to the judgment matrix;
coherent matrix
Wherein, cij＝lgbij。
Obtaining a consistent matrix according to the formula
S714, calculating the weight vector of the scheme layer alignment rule layer according to the consistent matrix;
weight vector of scheme layer alignment layer
Obtaining the weight W of the tower section 2 to the risk grade percentage according to the formula2＝[0.4267 0.0773 0.2094 0.2094 0.0773]Repeating the steps S711-S714, and respectively obtaining the weight W of the tower section 1 to the risk grade percentage1＝[0.1666 0.0740 0.0740 0.0740 0.0740]The weight of the tower section 3 to the risk grade percentage is W3＝[0.3773 0.1194 0.2645 0.1194 0.1194]The weight of the tower section 4 to the risk grade percentage is W4＝[0.3773 0.1194 0.1194 0.2645 0.1194]。
And S715, forming a weight coefficient matrix of the scheme layer to the criterion layer by the weight vectors of the corresponding scheme layer alignment layers of the tower sections.
Weight coefficient matrix W of scheme layer alignment layerL＝[W1,W2,…Wn]Namely:
s720, determining a weight vector of the criterion layer to the target layer according to each risk level;
the method specifically comprises the following steps when determining the weight vector of the criterion layer to the target layer according to each risk level:
s721, calculating a comparison matrix by adopting a three-scale method according to each risk level;
the importance ranking of each risk level according to the risk degree can be obtained as follows: grade I < grade II < grade III < grade IV < grade V, and a comparison table of importance degrees of risk grades was obtained according to the three-scale method, as shown in table 3:
TABLE 3 comparison of importance of Risk classes
| Level I risk | Level II risk | Level III risk | Risk of class IV | Risk of V level | |
| Level I risk | 1 | 0 | 0 | 0 | 0 |
| Level II risk | 2 | 1 | 0 | 0 | 0 |
| Level III risk | 2 | 2 | 1 | 0 | 0 |
| Risk of class IV | 2 | 2 | 2 | 1 | 0 |
| Risk of V level | 2 | 2 | 2 | 2 | 1 |
From this, a comparison matrix is obtained
S722, constructing a judgment matrix according to the comparison matrix;
calculating a judgment matrix D according to the comparison matrix C and the formula (1) in the step S712 to obtain a judgment matrix
S723, calculating a consistent matrix according to the judgment matrix;
calculating a consistent matrix D' according to the judgment matrix D and the formula (2) in the step S713 to obtain a consistent matrix
S724, calculating a weight vector of the criterion layer to the target layer according to the consistent matrix;
calculating the weight vector W of the criterion layer to the target layer according to the consistent matrix D' and the formula (3) in the step S714F，WF＝[0.0329 0.0636 0.1296 0.2638 0.5100]。
Of the above steps, steps S710 to S720 may be included in step S200 of embodiment one.
And S730, calculating the weight vector of each tower section to the windage yaw flashover risk according to the weight coefficient matrix of the scheme layer to the criterion layer and the weight vector of the criterion layer to the target layer.
Weight vector W of each tower section for windage yaw flashover riskE＝WL·(WF)T＝[0.0770 0.1408 0.1467 0.1662]T。
S800, determining the wind deflection flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deflection flashover risk.
Optionally, determining the windage yaw flashover fault probability of the power transmission line according to the weight vector of each tower section to the windage yaw flashover risk includes:
calculating the wind deflection flashover probability average value of each tower section according to the wind deflection flashover probability of the tower in each tower section;
the average value of the windage yaw flashover probability of the tower section 1 can be obtained according to the windage yaw flashover probability of each tower of the tower section 1
The average value of the windage yaw flashover probability of the tower section 2 can be obtained according to the windage yaw flashover probability of each tower of the tower section 2
The average value of the windage yaw flashover probability of the tower section 3 can be obtained according to the windage yaw flashover probability of each tower of the tower section 3
The average value of the windage yaw flashover probability of the tower section 4 can be obtained according to the windage yaw flashover probability of each tower of the tower section 4
And determining the wind deflection flashover fault probability of the power transmission line according to the wind deflection flashover rate average value of each tower section and the weight vector of each tower section to the wind deflection flashover risk.
Windage yaw flashover fault probability of power transmission line
Wherein M is the number of divided tower sections, M is 4 in this embodiment, MiIs WEThe value in row i was calculated to be 7.98%.
In this embodiment, a hierarchical structure model is constructed according to the windage yaw flashover probability corresponding to the tower, the importance order of each tower section is obtained according to the percentage of each risk level tower, and then a corresponding comparison matrix, a judgment matrix and a consistent matrix are obtained, a weight coefficient matrix of a scheme layer aligned to a rule layer is calculated according to the matrix, the comparison matrix, the judgment matrix and the consistent matrix are calculated according to each risk level by adopting a three-scale method, a weight vector of the rule layer to a target layer is calculated according to the matrix, and finally a weight vector of the scheme layer to the target layer, namely each tower section to the windage flashover risk is obtained, the windage flashover fault probability of the power transmission line is further determined according to the weight vector of each tower section to the windage flashover risk, the influence of the distribution of different risk levels towers in each tower section to the windage flashover risk evaluation result is fully considered, so that the evaluation result of the windage flashover risk of each tower section of, the method is reasonable, convenient to implement and high in real-time performance and accuracy, provides a more accurate fault probability calculation basis for windage yaw flashover of the power transmission line under a strong wind disaster, and meanwhile facilitates scheduling operators to acquire the fault level of the line and make a reasonable decision.
EXAMPLE III
The embodiment refines the step of calculating the windage yaw flashover probability corresponding to each tower on the power transmission line on the basis of any embodiment. Fig. 4 is a flowchart of a method for calculating a windage yaw flashover fault probability of a power transmission line provided in the third embodiment, and referring to fig. 4, optionally, calculating a windage yaw flashover probability corresponding to each tower on the power transmission line includes:
s510, acquiring real-time data of wind speed on a tower, and fitting the real-time data of the wind speed to construct a generalized pareto distribution model of the wind speed;
and performing generalized pareto distribution fitting on the real-time data of the wind speed V, wherein the generalized pareto distribution of the constructed wind speed is as follows:
where ξ is the shape parameter, u is the position parameter (threshold), σ is the scale parameter, and 1/ξ is the tail parameter.
And the generalized pareto distribution carries out extreme value distribution fitting on all data reaching or exceeding a given rated larger threshold in observation, and a wind speed distribution rule is depicted.
S520, randomly extracting wind speed data according to the generalized pareto distribution model of the wind speed, and calculating a wind deflection angle according to the wind speed data;
optionally, calculating a wind drift angle according to the wind speed data specifically includes:
calculating horizontal wind load and insulator string wind load based on randomly extracted wind speed data;
the horizontal wind load perpendicular to the direction of the wire is Fd：
Wherein, alpha is the uneven coefficient of wind pressure, KhIs the height coefficient of variation of wind pressure uscIs the topographic coefficient of the wire, r is the wire radius, lhIs horizontal span, theta is the included angle between the wind direction and the wire trend, rho is air density, and the standard value is 1.22555kg/m3And v is randomly extracted wind speed data.
The wind load of the insulator string is Fj：
Fj＝9.80665Av2/16 (6)
Wherein A is the wind area of the insulator string, and each single-skirt insulator is 0.02m2Each piece of the double-skirt insulator is 0.03m2。
And calculating a wind drift angle according to the horizontal wind load and the insulator string wind load.
Wind deflection angle
The calculation formula of (2) is as follows:
wherein G isdFor vertical loading of the wire, GjFor vertical loading of the insulator string, vertical loading of the conductors GdAnd vertical load G of insulator stringjThe method is determined according to the type of the insulator string of the lead, and the vertical load of the insulator string of the lead with the fixed type is inquired according to the design specification of the power transmission line.
S530, calculating the minimum air gap between the conducting wire and the tower according to the wind deflection angle;
optionally, calculating a minimum air gap between the wire and the tower according to the wind deflection angle specifically includes:
calculating the minimum air gap between the wire and the tangent tower;
calculating the minimum air gap d between the wire and the tangent tower1Including calculating the minimum air gap d from the middle phase conductor to the tower body of the tangent tower2Minimum air gap d from side phase conductor to linear tower body3Minimum air gap d from middle phase conductor to tangent tower body2Minimum air gap d from side phase conductor to linear tower body3The smaller of the two is the minimum air gap d between the wire and the tangent tower1。
Minimum air gap d from middle phase conductor to tangent tower body2The calculation formula is as follows:
wherein, c1Horizontal distance, a, from the mid-phase suspension insulator to the main tower body1Is the mid-phase conductor suspension insulator length.
Minimum air gap d from side phase conductor to straight line tower body3The calculation formula is as follows:
wherein, a2For the length of the suspension insulator of the side phase conductor, b1Is the length of the side phase cross arm, phi is the included angle from the main material of the tower body to the side phase cross arm,
the wind deflection angle calculated for equation (7).
Minimum air gap d between wire and tangent tower1：
d1＝min{d2,d3} (10)
Calculating the minimum air gap between the lead and the strain tower;
calculating the minimum air gap d between the wire and the strain tower4Comprises calculating the minimum air gap d from the middle phase jumper to the tower body of the tension tower5Minimum air gap d from side phase jumper to strain tower body6，d5And d6The smaller of the two is the minimum air gap d between the wire and the strain tower4。
Calculating the minimum air gap d from the middle phase jumper to the tower body of the strain tower5Two cases are included:
case 1: when the middle phase jumper discharges to the position near the tension string hanging point, the middle phase jumper reaches the minimum air gap x of the tension tower body1Comprises the following steps:
in formulae (11) and (12), a3For mid-phase jumper suspension insulator length, b2Is the middle phase cross arm length, c2The width of the cross section of the tower body at the hanging point of the middle phase strain insulator string, f is the length of the strain insulator string,
the inclination angle of the strain insulator string is beta, a line corner is beta, l is the length of the section of the tower body at the hanging point of the middle phase conductor, and gamma is an intermediate variable defined without practical meaning.
Case 2: when the middle phase jumper discharges to the vicinity of the cross arm of the tower head of the tower, the middle phase jumper reaches the minimum air gap x of the tower body of the strain tower2Comprises the following steps:
wherein z is the expense length of the middle phase cross arm, and delta is the steel inclination angle of the middle phase cross arm.
Minimum air gap d from middle phase jumper to strain tower body5＝min{x1,x2}(14)。
Minimum air gap d from side phase jumper to tower body of strain tower6：
Wherein, a4Length of the suspension insulator for side phase jumper, b3The length of the side phase cross arm is shown, and phi is the included angle from the main material of the tower body to the side phase cross arm.
Minimum air gap d between wire and strain tower4＝min{d5,d6} (16)。
And taking the smaller of the minimum air gap between the wire and the linear tower and the minimum air gap between the wire and the tension tower as the minimum air gap between the wire and the tower.
Minimum air gap d min { d } between the conducting wire and the pole tower1,d4} (17)。
S540, determining the wind deflection flashover probability of the tower according to the plurality of minimum air gaps and the safety gaps corresponding to the plurality of wind speed data of the tower.
Windage yaw flashover probability of tower
Wherein d isminFor the safety clearance of the live part and the tower elements under windage yaw as specified in the design rules, N1The minimum air gap is smaller than the number of safety gaps, and N is the number of repeated tests.
Illustratively, taking a 220KV transmission line of a certain power supply station in the above embodiments as an example, 500 pieces of real-time wind speed data at the position of a tower are obtained, a generalized pareto distribution function of the real-time wind speed is obtained through generalized pareto distribution fitting, one piece of wind speed data is extracted from the generalized pareto distribution of the wind speed, and a wind drift angle is calculated from the extracted data
And the minimum air gap d from the conductor to the tower, and repeating the process 10000 times, namely N is 10000 times, so as to obtain 10000 minimum air gaps from the conductor to the tower. Counting d of minimum air gap d between the conducting wire and the tower being smaller than safety distanceminNumber N of1And calculating N1The proportion of the minimum air gap 10000 between the wire and the tower is the wind deflection flashover probability.
S200, constructing a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, wherein the hierarchical structure model comprises a target layer, a standard layer and a scheme layer, the target layer is tower section windage yaw flashover risk, the standard layer is tower percentages with different risk levels, and the scheme layer is a tower section;
s300, calculating a weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model;
s400, determining the wind deflection flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deflection flashover risk.
Steps S200, S300, and S400 are the same as steps S200, S300, and S400 in the first embodiment.
The method comprises the steps of carrying out extreme value distribution fitting on a group of data which reach or exceed a given large threshold in observation, wherein the quantity of the data required by the model is small, limited extreme observation data are effectively used, and the generalized pareto distribution can better depict the wind speed distribution rule. And then, the wind deflection flashover probability of each tower in the actual measurement time period is calculated in a mode of randomly extracting data from generalized pareto distribution, so that the problems that the wind deflection flashover probability of the tower at a certain moment is always calculated in the traditional method, the calculated data change is large, and the actual wind deflection flashover condition of the line cannot be well reflected are solved. And finally, carrying out windage yaw flashover risk assessment on each tower section by using the hierarchical structure model, and calculating the windage yaw flashover fault probability of the power transmission line.
Example four
The embodiment of the invention also provides a device for calculating the wind deflection flashover fault probability of the power transmission line, which is used for executing the wind deflection flashover fault probability calculating method of any embodiment. Fig. 5 is a schematic structural diagram of a device for calculating a windage yaw flashover fault probability of a power transmission line according to an embodiment of the present invention. Referring to fig. 5, the windage yaw flashover fault probability calculation device for the power transmission line includes:
the tower windage yaw flashover probability calculation module 10 is used for calculating the windage yaw flashover probability corresponding to each tower on the power transmission line;
the model building module 20 is configured to build a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, where the hierarchical structure model includes a target layer, a criterion layer and a scheme layer, where the target layer is tower section windage yaw flashover risk, the criterion layer is tower percentages of different risk levels, and the scheme layer is a tower section;
the weight vector calculation module 30 is used for calculating the weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model;
and the fault probability calculation module 40 is used for determining the wind deviation flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deviation flashover risk.
In the embodiment, the hierarchical structure model is constructed according to the windage yaw flashover probability corresponding to each tower on the transmission line, the constructed hierarchical structure model comprises a target layer, a criterion layer and a scheme layer, wherein the target layer is the tower section windage yaw flashover risk, the standard layer is the percentage of towers with different risk levels, the scheme layer is the tower section, and then calculating the weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model, finally determining the windage yaw flashover fault probability of the power transmission line, fully considering the influence of the tower distribution of different risk levels in each tower section to the windage yaw flashover risk evaluation result, ensuring that the evaluation result of the windage yaw flashover risk of each section of the power transmission line is more accurate, the method for calculating the windage yaw flashover fault probability of the power transmission line provided by the embodiment of the invention is more reasonable, is convenient to implement, has higher real-time performance and accuracy, and provides a more accurate fault probability calculation basis for the windage yaw flashover of the power transmission line.
It is to be noted that the foregoing is only illustrative of the preferred embodiments of the present invention and the technical principles employed. It will be understood by those skilled in the art that the present invention is not limited to the particular embodiments described herein, but is capable of various obvious changes, rearrangements and substitutions as will now become apparent to those skilled in the art without departing from the scope of the invention. Therefore, although the present invention has been described in greater detail by the above embodiments, the present invention is not limited to the above embodiments, and may include other equivalent embodiments without departing from the spirit of the present invention, and the scope of the present invention is determined by the scope of the appended claims.
Claims (10)
1. A windage yaw flashover fault probability calculation method of a power transmission line is characterized by comprising the following steps:
calculating the wind deflection flashover probability corresponding to each tower on the power transmission line;
constructing a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, wherein the hierarchical structure model comprises a target layer, a standard layer and a scheme layer, the target layer is tower section windage yaw flashover risk, the standard layer is tower percentages with different risk levels, and the scheme layer is a tower section;
calculating a weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model;
and determining the wind deflection flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deflection flashover risk.
2. The method for calculating the windage yaw flashover fault probability of the power transmission line according to claim 1, wherein the step of constructing a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower comprises the following steps:
dividing towers on the transmission line into different tower sections, and taking the tower sections as the scheme layer;
dividing risk levels according to the windage yaw flashover probability of each tower on the power transmission line;
calculating the percentage of each risk grade tower of each tower section according to the windage yaw flashover probability of each tower in each tower section, and taking the percentage of each risk grade tower as the criterion layer;
and taking the tower section windage yaw flashover risk as the target layer.
3. The method for calculating the windage yaw flashover fault probability of the power transmission line according to claim 2, wherein the calculating the weight vector of each tower section for the windage yaw flashover risk according to the hierarchical structure model comprises:
calculating the weight vector of the scheme layer alignment rule layer corresponding to each tower section according to the percentage of each risk grade tower in each tower section, wherein the weight vector of the scheme layer alignment rule layer corresponding to each tower section forms a weight coefficient matrix of the scheme layer to the rule layer;
determining a weight vector of the criterion layer to the target layer according to each risk level;
and calculating the weight vector of each tower section to the windage yaw flashover risk according to the weight coefficient matrix of the scheme layer to the criterion layer and the weight vector of the criterion layer to the target layer.
4. The method according to claim 3, wherein the calculating a weight vector of the scheme layer to the criterion layer corresponding to each tower section according to the percentage of each risk class tower in each tower section, and the weight vector of the scheme layer to the criterion layer corresponding to each tower section form a weight coefficient matrix of the scheme layer to the criterion layer, comprises:
calculating a comparison matrix by adopting a three-scale method according to the percentage of each risk grade tower aiming at each tower section;
constructing a judgment matrix according to the comparison matrix;
calculating a consistent matrix according to the judgment matrix;
calculating a weight vector of the scheme layer to the criterion layer according to the consistent matrix;
and the weight vectors of the scheme layer to the standard layer corresponding to the tower sections form a weight coefficient matrix of the scheme layer to the standard layer.
5. The method for calculating the windage yaw flashover fault probability of the power transmission line according to claim 3, wherein the determining the weight vector of the criterion layer to the target layer according to each risk level comprises:
calculating a comparison matrix by adopting a three-scale method according to each risk grade;
constructing a judgment matrix according to the comparison matrix;
calculating a consistent matrix according to the judgment matrix;
and calculating a weight vector of the criterion layer to the target layer according to the consistent matrix.
6. The method for calculating the windage yaw flashover fault probability of the power transmission line according to claim 1, wherein the determining the windage yaw flashover fault probability of the power transmission line according to the weight vector of each tower section for the windage yaw flashover risk comprises:
calculating the wind deflection flashover probability average value of each tower section according to the wind deflection flashover probability of the tower in each tower section;
and determining the wind deflection flashover fault probability of the power transmission line according to the wind deflection flashover probability average value of each tower section and the weight vector of each tower section to the wind deflection flashover risk.
7. The method for calculating the windage yaw flashover fault probability of the power transmission line according to claim 1, wherein the calculating the windage yaw flashover probability corresponding to each tower on the power transmission line comprises:
acquiring real-time data of wind speed on a tower, and fitting the real-time data of the wind speed to construct a generalized pareto distribution model of the wind speed;
randomly extracting wind speed data according to the generalized pareto distribution model of the wind speed, and calculating a wind drift angle according to the wind speed data;
calculating the minimum air gap between the wire and the tower according to the wind deflection angle;
and determining the wind deflection flashover probability of the tower according to a plurality of minimum air gaps and safety gaps corresponding to the plurality of wind speed data of the tower.
8. The method for calculating the windage yaw flashover fault probability of the power transmission line according to claim 7, wherein the randomly extracting wind speed data according to the generalized pareto distribution of the wind speed and calculating a windage yaw angle according to the wind speed data comprises:
calculating horizontal wind load and insulator string wind load based on the extracted wind speed data;
and calculating the wind drift angle according to the horizontal wind load and the insulator string wind load.
9. The method for calculating the windage yaw flashover fault probability of the power transmission line according to claim 7, wherein the calculating the minimum air gap between the conducting wire and the tower according to the windage yaw angle comprises:
calculating the minimum air gap between the wire and the tangent tower;
calculating the minimum air gap between the lead and the strain tower;
and taking the smaller of the minimum air gap between the lead and the linear tower and the minimum air gap between the lead and the strain tower as the minimum air gap between the lead and the tower.
10. A windage yaw flashover fault probability calculation device of a power transmission line is characterized by comprising:
the tower windage yaw flashover probability calculation module is used for calculating the windage yaw flashover probability corresponding to each tower on the power transmission line;
the model building module is used for building a hierarchical structure model according to the windage yaw flashover probability corresponding to each tower, wherein the hierarchical structure model comprises a target layer, a criterion layer and a scheme layer, the target layer is the windage yaw flashover risk of a tower section, the criterion layer is the percentage of towers with different risk levels, and the scheme layer is the tower section;
the weight vector calculation module is used for calculating the weight vector of each tower section to the windage yaw flashover risk according to the hierarchical structure model;
and the fault probability calculation module is used for determining the wind deflection flashover fault probability of the power transmission line according to the weight vector of each tower section to the wind deflection flashover risk.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011112332.0A CN112257028B (en) | 2020-10-16 | 2020-10-16 | Windage yaw flashover fault probability calculation method and device of power transmission line |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011112332.0A CN112257028B (en) | 2020-10-16 | 2020-10-16 | Windage yaw flashover fault probability calculation method and device of power transmission line |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112257028A true CN112257028A (en) | 2021-01-22 |
| CN112257028B CN112257028B (en) | 2022-11-29 |
Family
ID=74244090
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011112332.0A Active CN112257028B (en) | 2020-10-16 | 2020-10-16 | Windage yaw flashover fault probability calculation method and device of power transmission line |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112257028B (en) |
Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006025870A2 (en) * | 2004-08-26 | 2006-03-09 | Springbok Incorporated | Method of precisely determining the location, and validity of a fault on an electrical transmission system |
| CN102411105A (en) * | 2011-09-01 | 2012-04-11 | 国网电力科学研究院武汉南瑞有限责任公司 | Evaluation method of lightning disturbance risk of power transmission line section |
| CN102930348A (en) * | 2012-10-19 | 2013-02-13 | 广东电网公司电力科学研究院 | Assessment method for rainstorm disaster risks of sectional power transmission line pole-tower foundation slopes |
| CN103777094A (en) * | 2013-12-31 | 2014-05-07 | 国网电力科学研究院武汉南瑞有限责任公司 | High-speed railway traction net lightening disaster risk evaluation method based on hierarchy analysis method |
| CN106597233A (en) * | 2016-12-06 | 2017-04-26 | 武汉大学 | Power transmission line windage yaw discharge early warning method considering dynamic air density |
| CN107292497A (en) * | 2017-06-05 | 2017-10-24 | 国网陕西省电力公司电力科学研究院 | The flashover of power transmission circuit caused by windage yaw methods of risk assessment combined based on step analysis entropy weight |
| CN107316129A (en) * | 2017-06-05 | 2017-11-03 | 国网陕西省电力公司电力科学研究院 | Transmission line of electricity natural calamity flashover risk integrative assessment method |
| CN107578174A (en) * | 2017-09-08 | 2018-01-12 | 贵州电网有限责任公司输电运行检修分公司 | A kind of grid methods of risk assessment based on electric power line pole tower fail-safe analysis |
| CN107784401A (en) * | 2016-08-25 | 2018-03-09 | 广州供电局有限公司 | Transmission line lightning stroke methods of risk assessment based on grid stability |
| CN108961094A (en) * | 2018-02-28 | 2018-12-07 | 武汉大学 | Wind leaning fault method for early warning based on transmission line of electricity minimum air void online measuring |
-
2020
- 2020-10-16 CN CN202011112332.0A patent/CN112257028B/en active Active
Patent Citations (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006025870A2 (en) * | 2004-08-26 | 2006-03-09 | Springbok Incorporated | Method of precisely determining the location, and validity of a fault on an electrical transmission system |
| CN102411105A (en) * | 2011-09-01 | 2012-04-11 | 国网电力科学研究院武汉南瑞有限责任公司 | Evaluation method of lightning disturbance risk of power transmission line section |
| CN102930348A (en) * | 2012-10-19 | 2013-02-13 | 广东电网公司电力科学研究院 | Assessment method for rainstorm disaster risks of sectional power transmission line pole-tower foundation slopes |
| CN103777094A (en) * | 2013-12-31 | 2014-05-07 | 国网电力科学研究院武汉南瑞有限责任公司 | High-speed railway traction net lightening disaster risk evaluation method based on hierarchy analysis method |
| CN107784401A (en) * | 2016-08-25 | 2018-03-09 | 广州供电局有限公司 | Transmission line lightning stroke methods of risk assessment based on grid stability |
| CN106597233A (en) * | 2016-12-06 | 2017-04-26 | 武汉大学 | Power transmission line windage yaw discharge early warning method considering dynamic air density |
| CN107292497A (en) * | 2017-06-05 | 2017-10-24 | 国网陕西省电力公司电力科学研究院 | The flashover of power transmission circuit caused by windage yaw methods of risk assessment combined based on step analysis entropy weight |
| CN107316129A (en) * | 2017-06-05 | 2017-11-03 | 国网陕西省电力公司电力科学研究院 | Transmission line of electricity natural calamity flashover risk integrative assessment method |
| CN107578174A (en) * | 2017-09-08 | 2018-01-12 | 贵州电网有限责任公司输电运行检修分公司 | A kind of grid methods of risk assessment based on electric power line pole tower fail-safe analysis |
| CN108961094A (en) * | 2018-02-28 | 2018-12-07 | 武汉大学 | Wind leaning fault method for early warning based on transmission line of electricity minimum air void online measuring |
Non-Patent Citations (2)
| Title |
|---|
| 朱凌 等: "虑风速风向联合分布的大风灾害下电力断线倒塔概率预测", 《电力系统保护与控制》 * |
| 翁世杰: "架空输电线路大风灾害预警方法研究", 《万方数据》 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112257028B (en) | 2022-11-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN107578169B (en) | Method and device for identifying key line of power grid under typhoon disaster condition | |
| CN107992962B (en) | Power transmission line lightning protection measure optimal selection method based on entropy weight method | |
| CN108520330B (en) | Power distribution network medium-voltage line differentiation planning method considering load prediction error uncertainty | |
| CN106503885A (en) | A kind of method that health state evaluation is carried out to cable run | |
| CN107292478B (en) | Method for acquiring influence situation of disaster on power distribution network | |
| CN109359882B (en) | Method for evaluating tripping risk of power transmission line under typhoon disaster | |
| CN109064056B (en) | Power transmission line lightning protection measure selection method based on grey correlation analysis method | |
| WO2021047060A1 (en) | Power distribution network risk control method in typhoon scenario | |
| CN110378549B (en) | Transmission tower bird damage grade assessment method based on FAHP-entropy weight method | |
| CN110908014A (en) | Galloping refined correction forecasting method and system | |
| CN110309527A (en) | A kind of overhead distribution damage to crops caused by thunder methods of risk assessment based on electric geometry method | |
| CN113435492B (en) | Power system dominant instability mode discrimination method based on active learning | |
| CN112924817A (en) | Power distribution network fault accurate positioning method based on deep neural network | |
| CN115169931A (en) | Transmission line safety state evaluation method based on digital twinning | |
| CN110276536A (en) | The power distribution network shaft tower security assessment method of exponential type de-fuzzy analytic hierarchy process (AHP) | |
| CN111126672A (en) | High-voltage overhead transmission line typhoon disaster prediction method based on classification decision tree | |
| CN112001070B (en) | Modeling method for outage probability of power transmission line affected by external environment | |
| CN111695775A (en) | Power transmission line lightning stroke risk assessment method based on optimal combined weighting of preference ratio-entropy method | |
| CN112668821A (en) | Distribution line risk analysis method based on insulator fault probability of sand blown region | |
| CN108614192A (en) | A kind of power distribution network lightning monitoring device is layouted decision-making technique | |
| CN109740975A (en) | Consider the tidal current energy generating field planing method of Tide resource assessment and flow velocity direction | |
| McLaughlin et al. | Application of dynamic line rating to defer transmission network reinforcement due to wind generation | |
| CN108921452B (en) | Power transmission line risk assessment composite early warning method based on fuzzy algorithm | |
| CN106503881A (en) | The appraisal procedure of DC power transmission line typhoon risk | |
| CN106651646A (en) | Fuzzy comprehensive judgment-based assessment method for icing state of power transmission line |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |