CN116956518A - Wind-induced response influence and safety evaluation method and system for power transmission tower line system - Google Patents
Wind-induced response influence and safety evaluation method and system for power transmission tower line system Download PDFInfo
- Publication number
- CN116956518A CN116956518A CN202310934147.7A CN202310934147A CN116956518A CN 116956518 A CN116956518 A CN 116956518A CN 202310934147 A CN202310934147 A CN 202310934147A CN 116956518 A CN116956518 A CN 116956518A
- Authority
- CN
- China
- Prior art keywords
- power transmission
- transmission tower
- temperature
- line system
- ground wire
- 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
- 230000005540 biological transmission Effects 0.000 title claims abstract description 181
- 230000004044 response Effects 0.000 title claims abstract description 41
- 238000011156 evaluation Methods 0.000 title claims description 12
- 238000009826 distribution Methods 0.000 claims abstract description 109
- 238000000034 method Methods 0.000 claims abstract description 42
- 230000008859 change Effects 0.000 claims abstract description 28
- 230000009471 action Effects 0.000 claims abstract description 5
- 230000006870 function Effects 0.000 claims description 35
- 239000004020 conductor Substances 0.000 claims description 16
- 239000012212 insulator Substances 0.000 claims description 16
- 238000004590 computer program Methods 0.000 claims description 14
- 241000039077 Copula Species 0.000 claims description 12
- 230000007613 environmental effect Effects 0.000 claims description 12
- 230000008569 process Effects 0.000 claims description 12
- 230000003068 static effect Effects 0.000 claims description 12
- 238000004458 analytical method Methods 0.000 claims description 11
- 239000008186 active pharmaceutical agent Substances 0.000 claims description 10
- 238000003860 storage Methods 0.000 claims description 10
- 238000010276 construction Methods 0.000 claims description 3
- 238000004364 calculation method Methods 0.000 abstract description 5
- 230000002265 prevention Effects 0.000 abstract description 2
- 230000009467 reduction Effects 0.000 abstract description 2
- 238000010586 diagram Methods 0.000 description 15
- 230000000694 effects Effects 0.000 description 5
- WABPQHHGFIMREM-UHFFFAOYSA-N lead(0) Chemical compound [Pb] WABPQHHGFIMREM-UHFFFAOYSA-N 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 239000003570 air Substances 0.000 description 4
- 238000006073 displacement reaction Methods 0.000 description 4
- 230000001133 acceleration Effects 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 230000001186 cumulative effect Effects 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000003287 optical effect Effects 0.000 description 2
- 238000004904 shortening Methods 0.000 description 2
- 239000012080 ambient air Substances 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013461 design Methods 0.000 description 1
- 238000005315 distribution function Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003993 interaction Effects 0.000 description 1
- 230000000670 limiting effect Effects 0.000 description 1
- 238000004519 manufacturing process Methods 0.000 description 1
- 238000005259 measurement Methods 0.000 description 1
- 230000036961 partial effect Effects 0.000 description 1
- 230000002829 reductive effect Effects 0.000 description 1
- 238000011160 research Methods 0.000 description 1
- 230000002441 reversible effect Effects 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/18—Network design, e.g. design based on topological or interconnect aspects of utility systems, piping, heating ventilation air conditioning [HVAC] or cabling
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
- G06F30/23—Design optimisation, verification or simulation using finite element methods [FEM] or finite difference methods [FDM]
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
- G06Q10/06393—Score-carding, benchmarking or key performance indicator [KPI] analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
- G06Q50/06—Energy or water supply
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2111/00—Details relating to CAD techniques
- G06F2111/08—Probabilistic or stochastic CAD
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F2119/00—Details relating to the type or aim of the analysis or the optimisation
- G06F2119/08—Thermal analysis or thermal optimisation
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Engineering & Computer Science (AREA)
- Business, Economics & Management (AREA)
- Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Human Resources & Organizations (AREA)
- General Physics & Mathematics (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Geometry (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- General Engineering & Computer Science (AREA)
- Computer Hardware Design (AREA)
- Health & Medical Sciences (AREA)
- Evolutionary Computation (AREA)
- Development Economics (AREA)
- Educational Administration (AREA)
- Marketing (AREA)
- Entrepreneurship & Innovation (AREA)
- Mathematical Optimization (AREA)
- Computational Mathematics (AREA)
- Mathematical Analysis (AREA)
- Operations Research (AREA)
- Quality & Reliability (AREA)
- Computer Networks & Wireless Communication (AREA)
- Game Theory and Decision Science (AREA)
- Pure & Applied Mathematics (AREA)
- Public Health (AREA)
- Water Supply & Treatment (AREA)
- General Health & Medical Sciences (AREA)
- Primary Health Care (AREA)
- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
Abstract
The application relates to the field of disaster assessment of disaster prevention and reduction projects, and provides a method and a system for evaluating wind-induced response influence and safety of a power transmission tower line system. Combining the parameters of the ground wire and establishing a temperature prediction model of the ground wire based on a thermodynamic principle and a related calculation formula; collecting operation data of a power transmission tower line system and meteorological data of a region where the power transmission tower line system is located, and inputting the collected data into a prediction model to form a ground wire temperature database; respectively establishing two models of a ground wire and a power transmission tower wire system, and determining the influence rules of temperature change on the dynamic characteristics, response, ultimate bearing capacity and the like of the ground wire and the power transmission tower wire system; according to the distribution characteristics of wind speed and predicted temperature, respectively establishing edge distribution of the wind speed and the predicted temperature, establishing a combined distribution model considering the correlation of the wind speed and the predicted temperature on the basis, and analyzing the safety of a power transmission tower line system under the action of wind load considering the temperature influence according to the combined distribution probability of the wind speed and the predicted temperature.
Description
Technical Field
The application relates to the field of disaster assessment of disaster prevention and reduction projects, in particular to a method and a system for evaluating wind-induced response influence and safety of a power transmission tower line system.
Background
The statements in this section merely provide background information related to the present disclosure and may not necessarily constitute prior art.
The distribution range of the power transmission line is very wide, the power transmission line is required to pass through a complex meteorological environment area, various disasters are very easy to cause the power transmission line to fail, and the safe and stable operation of a power system is seriously affected. The span of the transmission tower line system is large, and the conductive wire is expanded with heat and contracted with cold along with the change of temperature, so that the conductive wire is continuously tensioned or loosened. When the lead is tensioned, the stress of the lead wire is increased, when wind load acts on the tensioned lead wire, larger stress and structural response are caused, and the failure risk of the power transmission tower wire system under the wind load is increased; when the ground wire is loosened, the safety distance between the ground wire and a ground object is reduced, and potential safety hazards exist.
At present, students evaluate the performance of a power transmission tower line system under wind load at home and abroad, but the temperature state of a ground wire is rarely considered in the researches, and the temperature of the ground wire can obviously influence sag, so that the influence of the temperature is ignored, and the performance evaluation of a structure under the wind load is inaccurate. In addition, the correlation between temperature and wind speed is not considered in the existing studies.
Disclosure of Invention
In order to solve the technical problems in the background art, the application provides a wind-induced response influence and safety evaluation method and system for a power transmission tower line system.
In order to achieve the above purpose, the present application adopts the following technical scheme:
the first aspect of the application provides a wind induced response influence and safety assessment method for a power transmission tower line system.
A wind-induced response influence and safety evaluation method of a power transmission tower line system comprises the following steps:
determining a power transmission tower line system to be evaluated, and acquiring ground wire parameters, power transmission tower line system operation data and environmental meteorological data;
establishing a ground wire temperature prediction model according to the ground wire parameters;
based on the operation data of the power transmission tower line system and the environmental meteorological data, a ground wire temperature prediction model is adopted to obtain the ground wire temperature, so that a database is constructed;
based on a database, analyzing a ground wire-insulator model and a finite element model of a power transmission tower wire system, determining an influence rule of the temperature change of the ground wire on the safety of the power transmission tower wire system under wind load, calculating failure probability of the power transmission tower wire system under different ground wire temperatures and wind speed working conditions, and establishing a vulnerability curve of the power transmission tower wire system under different temperatures; calculating the damage state overrun probability of the power transmission tower line system according to the vulnerability curves of the power transmission tower line system at different temperatures;
and calculating the damage state overrun probability considering the wind speed and the predicted temperature joint distribution probability based on the damage state overrun probability of the power transmission tower line system, and analyzing the safety of the wind-induced power transmission tower line system when the damage state overrun probability of the joint distribution probability reaches a set threshold value.
Further, the temperature prediction model of the ground wire is determined according to a static heat balance equation of the ground wire, and the static heat balance equation of the ground wire is as follows:
q c +q r ＝q s +I 2 R(T avg )
wherein q is c Rate of convective heat loss per unit length, q r Radiant heat loss rate per unit length, q s For solar heat gain, I is conductor current, R (T avg ) Is the alternating current resistance of the conductor at that temperature.
Further, the process of analyzing the earth wire-insulator model and the finite element model of the transmission tower wire system comprises the following steps: determining the sag and stress change rule of the ground lead caused by the temperature change of the ground lead, calculating the modal information of the ground lead-insulator model and the modal information of the finite element model of the power transmission tower line system under different temperatures of the ground lead, comparing and analyzing to obtain the response, ultimate bearing capacity and damage characteristics of the ground lead and the power transmission tower line system under the action of wind load under different temperatures of the ground lead, and determining the influence rule of the temperature change on the safety of the power transmission tower line system under the wind load.
Further, the vulnerability curves of the power transmission tower line systems at different temperatures are as follows:
F R (IM o )＝P(EDP≥DS i |IM＝IM o )
wherein F is R (IM o ) EDP is a structural demand parameter, DS, for the probability that a structural performance state reaches or exceeds a certain threshold i For the ith damage state of the structure, IM is a wind load intensity index.
Further, the process for analyzing the safety of the wind power transmission tower line system comprises the following steps: according to the distribution characteristics of wind speed and ground wire temperature in a database, a wind speed edge distribution probability model and a temperature edge distribution probability model are respectively established, a combined distribution model of the wind speed edge distribution probability model and a combined distribution model of the temperature edge distribution probability model are established, and the combined distribution probability of the wind speed and the ground wire temperature is calculated; and multiplying the joint distribution probability of the wind speed and the temperature of the ground wire by the damage state overrun probability of the vulnerability curve of the corresponding power transmission tower wire system to form a power transmission tower wire system damage probability curved surface under the common influence of the wind speed and the temperature.
Still further, the process of constructing the joint distribution model of the wind speed edge distribution probability model and the joint distribution model of the temperature edge distribution probability model includes: and respectively constructing a joint distribution model of the wind speed edge distribution probability model and a joint distribution model of the temperature edge distribution probability model by adopting a Copula function.
Further, the model considering the probability of the wind speed and the predicted temperature joint distribution is: a Copula function is adopted to establish a joint distribution model between wind speed and ground wire temperature, and the adopted function is as follows:
f(x,y)＝c(u,v)·f(x)·g(y)
in the method, in the process of the application,density function, which is a two-dimensional Copula function, ">And-> Probability density functions for wind speed and ground wire temperature, respectively.
A second aspect of the application provides a transmission tower line system wind induced response impact and safety assessment system.
A transmission tower line system wind induced response impact and security assessment system comprising:
a data acquisition module configured to: determining a power transmission tower line system to be evaluated, and acquiring ground wire parameters, power transmission tower line system operation data and environmental meteorological data;
a model building module configured to: establishing a ground wire temperature prediction model according to the ground wire parameters;
a database construction module configured to: based on the operation data of the power transmission tower line system and the environmental meteorological data, a ground wire temperature prediction model is adopted to obtain the ground wire temperature, so that a database is constructed;
a wind-induced response impact analysis module configured to: based on a database, analyzing a ground wire-insulator model and a finite element model of a power transmission tower wire system, determining an influence rule of the temperature change of the ground wire on the safety of the power transmission tower wire system under wind load, calculating failure probability of the power transmission tower wire system under different ground wire temperatures and wind speed working conditions, and establishing a vulnerability curve of the power transmission tower wire system under different temperatures; calculating the damage state overrun probability of the power transmission tower line system according to the vulnerability curves of the power transmission tower line system at different temperatures;
a security analysis module configured to: and calculating the damage state overrun probability considering the wind speed and the predicted temperature joint distribution probability based on the damage state overrun probability of the power transmission tower line system, and analyzing the safety of the wind-induced power transmission tower line system when the damage state overrun probability of the joint distribution probability reaches a set threshold value.
A third aspect of the present application provides a computer-readable storage medium.
A computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps in a transmission tower system wind induced response impact and security assessment method as described in the first aspect above.
A fourth aspect of the application provides a computer device.
A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the steps in the wind-induced response impact and security assessment method of a power transmission tower line system as described in the first aspect above when the program is executed.
Compared with the prior art, the application has the beneficial effects that:
(1) Compared with the traditional method that the temperature of the ground wire is replaced by the ambient temperature, the temperature prediction model of the ground wire can enable the predicted temperature to be close to the actual running temperature of the ground wire.
(2) According to the application, by establishing a combined distribution model of wind speed and predicted temperature, the correlation of the wind speed and the predicted temperature is considered, and the combined distribution probability of the wind speed and the ground wire temperature is defined.
(3) The method can quickly establish the damage probability curved surface of the power transmission tower line system according to the running state of the power transmission tower line system and the local meteorological data, can fully evaluate the damage probability of the power transmission tower line system under the combined action of temperature and wind load, and provides and rationalizes suggestions for actual engineering.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application.
FIG. 1 is a basic flow chart of a wind induced response impact and safety assessment method for a power transmission tower line system provided by the application;
FIG. 2 (a) is a graph showing the measured daily average air temperature distribution over 50 years in the southern region of the city;
FIG. 2 (b) is a graph showing a measured daily maximum wind speed profile over 50 years in a southern region of the city;
FIG. 3 is a predicted value of wire temperature for a power transmission line in the selected region;
fig. 4 is a schematic diagram of a structure of a power transmission tower according to an embodiment of the present application and a part of the structure;
FIG. 5 (a) is a schematic diagram of a wire-insulator model according to an embodiment of the present application;
fig. 5 (b) is a schematic diagram of a transmission tower line system according to an embodiment of the present application;
FIG. 6 shows the natural frequency of the wire at different temperatures;
FIG. 7 (a) is a graph showing the variation of the support reaction force with temperature and air velocity;
FIG. 7 (b) is a graph showing the variation of peak displacement of the column top with temperature and wind speed;
FIG. 7 (c) is a graph showing the variation of the peak acceleration of the tower top with temperature and wind speed;
FIG. 8 is a graph showing vulnerability of the transmission tower line system under the working conditions of-2 ℃, 18 ℃ and 28 ℃;
FIG. 9 (a) is a graph of the edge profile of the maximum wind speed per day;
FIG. 9 (b) is an edge profile of the daily wire temperature;
FIG. 10 (a) is a cumulative distribution diagram of the daily maximum wind speed and wire temperature;
FIG. 10 (b) is a probability density distribution plot of maximum wind speed per day versus wire temperature;
fig. 11 is an established power transmission tower line system failure risk assessment curved surface.
Detailed Description
The application will be further described with reference to the drawings and examples.
It should be noted that the following detailed description is illustrative and is intended to provide further explanation of the application. Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs.
It is noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of exemplary embodiments according to the present application. As used herein, the singular is also intended to include the plural unless the context clearly indicates otherwise, and furthermore, it is to be understood that the terms "comprises" and/or "comprising" when used in this specification are taken to specify the presence of stated features, steps, operations, devices, components, and/or combinations thereof.
It is noted that the flowcharts and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of methods and systems according to various embodiments of the present disclosure. It should be noted that each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the logical functions specified in the various embodiments. It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations and/or block diagrams, can be implemented by special purpose hardware-based systems which perform the specified functions or operations, or combinations of special purpose hardware and computer instructions.
Example 1
The embodiment provides a wind-induced response influence and safety evaluation method of a power transmission tower line system, which is applied to a server for illustration, and it can be understood that the method can also be applied to a terminal, can also be applied to a system and a terminal, and can be realized through interaction of the terminal and the server. The server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network servers, cloud communication, middleware services, domain name services, security services CDNs, basic cloud computing services such as big data and artificial intelligent platforms and the like. The terminal may be, but is not limited to, a smart phone, a tablet computer, a notebook computer, a desktop computer, a smart speaker, a smart watch, etc. The terminal and the server may be directly or indirectly connected through wired or wireless communication, and the present application is not limited herein. In this embodiment, the method includes the steps of:
determining a power transmission tower line system to be evaluated, and acquiring ground wire parameters, power transmission tower line system operation data and environmental meteorological data;
establishing a ground wire temperature prediction model according to the ground wire parameters;
based on the operation data of the power transmission tower line system and the environmental meteorological data, a ground wire temperature prediction model is adopted to obtain the ground wire temperature, so that a database is constructed;
based on a database, analyzing a ground wire-insulator model and a finite element model of a power transmission tower wire system, determining an influence rule of the temperature change of the ground wire on the safety of the power transmission tower wire system under wind load, calculating failure probability of the power transmission tower wire system under different ground wire temperatures and wind speed working conditions, and establishing a vulnerability curve of the power transmission tower wire system under different temperatures; calculating the damage state overrun probability of the power transmission tower line system according to the vulnerability curves of the power transmission tower line system at different temperatures;
and calculating the damage state overrun probability considering the wind speed and the predicted temperature joint distribution probability based on the damage state overrun probability of the power transmission tower line system, and analyzing the safety of the wind-induced power transmission tower line system when the damage state overrun probability of the joint distribution probability reaches a set threshold value.
As shown in fig. 1, the technical solution of the present embodiment is implemented with reference to the following:
step one: establishing a multivariable ground wire temperature prediction model
(1) Determining a power transmission tower line system to be evaluated, and collecting parameters such as the diameter, emissivity, absorptivity, resistance and the like of a ground wire;
(2) According to a thermodynamic formula and ground wire parameters, a multivariable ground wire temperature prediction model based on a physical model is established, and a static heat balance equation of the ground wire is as follows:
q c +q r ＝q s +I 2 R(T avg )
wherein q is c Rate of convective heat loss per unit length, qr rate of radiative heat loss per unit length, q s For solar heat gain, I is conductor current, R (T avg ) The conductor resistance is considered to be linearly adjusted with the conductor surface temperature, as the conductor alternating current resistance at that temperature.
Rate q of convective heat loss per unit length c Can be calculated by the following formula:
wherein k is f T is the thermal conductivity of air at boundary layer temperature s T is the surface temperature of the conductive wire a At ambient air temperature, N Re For Reynolds number (related to air velocity at ground line), K angle Is the wind direction coefficient.
Radiant heat loss rate q per unit length r Can be calculated by the following formula:
where ε is the emissivity (related to the wire surface state).
Solar heat yield q s Can be calculated by the following formula:
q s ＝αQ se sin(θ)A′
where α is the solar absorptance, θ is the effective incident angle of solar rays, A' is the projected area of the wire, Q se Is the elevation corrected total radiant heat intensity of the sun.
According to the static heat balance principle of the conductive wire, a conductive wire temperature prediction model can be established, and the calculation formula can be used for knowing that when the conductive wire parameters and the current transmission power are determined, the static heat balance equation of the conductive wire is I 2 R(T avg ) Items may be considered constant; q of static heat balance equation of earth conductor after meteorological condition is determined s The term is known, q of the static thermal equilibrium equation for the conductive line c And q s Term, subject to ground wire temperature T only s Influence. Therefore, by continuously adjusting the temperature T of the ground wire s Performing iterative calculation to make the difference between two sides of the equation of static heat balance equation of the earth wire smaller than 0.001 s And the value is the predicted value of the temperature of the ground wire to be solved.
Step two: constructing a temperature distribution database of the ground wire
(3) Collecting operation data of a power transmission tower line system and meteorological data such as temperature, wind speed, wind direction, sunlight and the like of a region where the operation data are located, and processing the data so that the data can be used by the established ground wire temperature prediction model;
(4) And inputting the collected operation data and the collected meteorological data into a ground wire temperature prediction model, outputting the ground wire temperature corresponding to the meteorological conditions, and forming a meteorological condition-ground wire temperature database.
Step three: study on influence of temperature change on response of system of ground wire and power transmission tower wire
(5) Respectively establishing a ground wire-insulator model and a finite element model of a transmission tower wire system according to the selected actual engineering;
(6) Determining sag and stress change rules of the earth conductors caused by temperature change, calculating modal information of the earth conductor-insulator model and the finite element model of the transmission tower line system under different earth conductor temperatures, and comparing and analyzing. Specifically, according to the thermal expansion coefficient of the conductive ground wire and the predicted temperature, calculating the elongation or shortening amount of the conductive ground wire, calculating the sag of the conductive ground wire according to the elongation or shortening amount, comparing the sag of the conductive ground wire at different temperatures, and summarizing the change rule of the sag of the conductive ground wire along with the temperature; the stress of the ground wire can be changed when the ground wire is lengthened or shortened under the influence of temperature, and the change rule of the stress of the ground wire along with the temperature is summarized; the sag and stress change of the ground lead calculated by the finite element model of the power transmission tower line system are compared with the calculated value of 110 kV-750 kV overhead power transmission line design specification, the rationality of the finite element model is determined, the vibration modes, the self-vibration frequency and the like of the power transmission tower line system at different temperatures are calculated according to the finite element model, and the influence rule of the temperature change on the mode of the power transmission tower line system is summarized;
(7) And (3) researching the response, ultimate bearing capacity and damage characteristics of the ground wire and the power transmission tower wire system under the action of wind load at different ground wire temperatures, and determining the influence rule of temperature change on the safety of the power transmission tower wire system under the wind load. Specifically, firstly, calculating the displacement and acceleration of the power transmission tower top at different temperatures according to the established finite element model, and summarizing the influence rule of temperature change on the tower top acceleration and displacement; secondly, continuously increasing the wind speed, and determining the damage level and the corresponding bearing capacity of the power transmission tower; and finally, defining the tower top displacement when the power transmission tower reaches different damage grades by combining the damage characteristics of the power transmission tower.
(8) According to different defined damage grades of the power transmission tower, calculating the probability of reaching different damage grades of the power transmission tower line system under different ground wire temperature and wind speed working conditions, and establishing a vulnerability curve of the power transmission tower line system under different temperatures, wherein the calculation formula is as follows:
F R (IM o )＝P(EDP≥DS i |IM＝IM o )
wherein F is R (IM o ) EDP is a structural demand parameter for the probability that the structural performance state reaches or exceeds a certain critical value; DS (DS) i For the ith damage state of the structure, IM is a wind load intensity index.
It is generally believed that the different performance states of the structure under wind loading obey a log-normal distribution, vulnerability function F R (IM o ) Can be expressed as:
wherein, phi (·) is a standard normal distribution function; EDP is the mean value of the earthquake demand parameters; beta D And beta C The structural seismic demand and the log standard deviation of seismic resistance are respectively.
Step four: developing wind-induced power transmission tower line system safety analysis considering wind speed and temperature correlation
(9) And respectively establishing an edge distribution probability model of the wind speed and the temperature according to the distribution characteristics of the wind speed and the temperature of the ground wire. Since the distribution characteristics of wind speed and ground wire temperature are different, an edge distribution model of the wind speed and the ground wire temperature needs to be established respectively. The application fits the wind speed and the temperature distribution of the earth wire by adopting Weibull distribution, frechet distribution, gumbel distribution, johnsonsb distribution, beta distribution, burr12 distribution and the like, and partial formulas are as follows:
the probability density of the Weibull distribution can be expressed as:
where x is a random variable, λ >0 is a scale parameter (scaleparameter), and k >0 is a shape parameter (shape parameter).
The probability density of the Frechet distribution can be expressed as:
where b is a scale parameter and c is a shape parameter.
The probability density of the gummel distribution can be expressed as:
where a is a position parameter and b is a scale parameter.
(10) The fitting degree of the edge distribution model of the wind speed and the running temperature of the lead and the real data adopts the mean square error (SSE) and AIC (Akaike Information Criterion) criterion as the evaluation index of the edge distribution model, and the smaller the values of the RMSE and the AIC, the better the fitting effect of the distribution model is shown.
AIC＝Nln(RMSE 2 )+2M
Wherein N is the number of samples, M is the number of parameters, and Pe m And P m The empirical probability distribution and the theoretical probability distribution, respectively.
(11) According to the edge distribution model, a joint distribution probability model capable of accurately describing the correlation of wind speed and temperature is established, the wind speed and the temperature of the earth wire belong to different distribution types, and the joint distribution model between the wind speed and the temperature of the earth wire is established by adopting a Copula function, wherein the adopted function is as follows:
f(x,y)＝c(u,v)·f(x)·g(y)
in the method, in the process of the application,density function, which is a two-dimensional Copula function, ">And-> Probability density functions for wind speed and ground wire temperature, respectively.
(12) Evaluating the fitting degree of Copula functions by adopting RMSE and AIC, selecting the Copula function with the best fitting degree, establishing a combined distribution model of wind speed and ground wire temperature, and solving the combined distribution probability of the maximum wind speed and the ground wire temperature;
(13) And multiplying the joint distribution probability of each wind speed and the temperature of the ground wire by the damage state overrun probability of the vulnerability curve of the corresponding power transmission tower wire system to form a power transmission tower wire system damage probability curved surface under the common influence of the wind speed and the temperature.
Example two
The embodiment provides a wind-induced response influence and safety evaluation method for a transmission tower line system, and the embodiment selects an extra-high voltage transmission line in a certain province as a supporting project.
Step one: and establishing a ground wire temperature prediction model based on a physical principle. Firstly, determining a power transmission tower line system to be evaluated, and collecting parameters such as the diameter, the emissivity, the absorptivity, the resistance and the like of a ground wire; then, according to a thermodynamic formula and ground wire parameters, a ground wire temperature prediction model based on a physical model is established, and a static heat balance equation of the ground wire is as follows:
q c +q r ＝q s +I 2 R(T avg )
wherein q is c Rate of convective heat loss per unit length, q r Radiant heat loss rate per unit length, q s For solar heat gain, I is conductor current, R (T avg ) The conductor resistance is considered to be linearly adjusted with the conductor surface temperature, as the conductor alternating current resistance at that temperature.
According to a static heat balance equation of the ground wire, a ground wire temperature prediction model can be established, the running condition of a local power transmission line is investigated, and the transmission power of the power transmission line is determined.
Step two: and constructing a conductive wire temperature distribution database. According to the geographical position of the power transmission tower structure, collecting actual measurement meteorological record data of the area for several years from the China meteorological office (CMA, http:// data, CMA. Cn /), including maximum wind speed, wind direction, temperature and the like, and adopting python language programming to read and process the data so that the data can be used by the established ground wire temperature prediction model; subsequently, the collected operation data and the collected meteorological data are input into a ground wire temperature prediction model, the ground wire temperature corresponding to the meteorological conditions is output, a meteorological condition-ground wire temperature database is formed, and the predicted temperature of the wire is shown in fig. 3.
Step three: and (5) researching the influence of temperature change on the response of the system of the earth conductor and the transmission tower line. According to the selected actual engineering, respectively establishing a ground wire-insulator model and a power transmission tower wire system finite element model, wherein the structure diagram of the power transmission tower is shown in fig. 4, and the ground wire-insulator model and the power transmission tower wire system finite element model are shown in fig. 5 (a) and 5 (b); determining sag and stress change rules of the lead wire caused by temperature change, calculating modal information of the power transmission line-insulator model and the power transmission tower line system finite element model under different temperatures of the lead wire, and comparing and analyzing, wherein the lead wire self-vibration frequencies under different temperatures are shown in fig. 6; then, researching the response, ultimate bearing capacity and damage characteristics of the ground wire and the power transmission tower wire system under the wind load effect at different ground wire temperatures, and determining the influence rule of temperature change on the safety of the power transmission tower wire system under the wind load, wherein the response conditions of the ground wire and the power transmission tower wire system under different temperature working conditions are shown in fig. 7 (a), 7 (b) and 7 (c); then, the failure probability of the structure under different ground wire temperatures and wind speed working conditions is calculated, a power transmission tower wire system vulnerability curve under different temperatures is established, and a calculation formula is as follows:
F R (IM o )＝P(EDP≥DS i |IM＝IM o )
wherein F is R (IM o ) EDP is a structural demand parameter for the probability that the structural performance state reaches or exceeds a certain critical value; DS (DS) i For the ith damage state of the structure, IM is a wind load intensity index. As shown in FIG. 8, the power transmission tower is used at-2deg.C, 18deg.C and 28deg.CAnd the vulnerability curve of the wire system defines the failure risk of the conductive wire at different temperatures.
Step four: and carrying out safety analysis of the wind-driven power transmission tower line system in consideration of the wind speed and temperature correlation. And respectively establishing an edge distribution probability model of the wind speed and the temperature according to the distribution characteristics of the wind speed and the temperature of the ground wire. Since the distribution characteristics of wind speed and ground wire temperature are different, an edge distribution model of the wind speed and the ground wire temperature needs to be established respectively. The application adopts Weibull distribution, frechet distribution, gumbel distribution, johnsonsb distribution, beta distribution, burr12 distribution and the like to fit the wind speed and the temperature distribution of the conductive wire, wherein the probability density of the wind speed and the corresponding fitting function are shown in the graph (a) of FIG. 9, and the probability density of the temperature of the conductive wire and the corresponding fitting function are shown in the graph (b) of FIG. 9. The fitting degree of the edge distribution model of the wind speed and the running temperature of the lead and the real data adopts the mean square error (SSE) and AIC (Akaike Information Criterion) criterion as the evaluation index of the edge distribution model, and the smaller the values of the RMSE and the AIC, the better the fitting effect of the distribution model is shown. Then, a joint distribution probability model capable of accurately describing the correlation of wind speed and temperature is established according to the edge distribution model, the wind speed and the temperature of the ground wire belong to different distribution types, and the joint distribution model between the wind speed and the temperature of the ground wire is established by adopting a Copula function, wherein the following functions are adopted:
f(x,y)＝c(u,v)·f(x)·g(y)
in the method, in the process of the application,density function, which is a two-dimensional Copula function, ">And-> Probability density functions for wind speed and ground wire temperature, respectively. As shown in fig. 10 (a) and 10 (b), respectively, are the established joint scoresDistributing cumulative probability distribution and probability density graphs of the model; and combining the joint distribution probability of each wind speed and the temperature of the ground wire with the damage state overrun probability of the vulnerability curve of the corresponding power transmission tower wire system to form a power transmission tower wire system damage probability curved surface under the common influence of the wind speed and the temperature, as shown in fig. 11.
According to the method, the safety performance analysis under the wind load effect is performed on the selected power transmission line more accurately, the power transmission line expands with heat and contracts with cold along with the change of temperature due to the characteristic of long span of the power transmission line, the stress characteristic of the power transmission tower line system is changed, the safety evaluation precision of the power transmission tower line system is improved by considering the influence of temperature on the structure, meanwhile, the temperature of the power transmission line system is provided more accurately through a power transmission line temperature prediction model, and then the established power transmission tower line system failure probability curved surface can be combined with historical meteorological data of an area where the power transmission line is located, so that the safety performance of the power transmission tower line system under the wind load effect is comprehensively evaluated.
Example III
The embodiment provides a wind-induced response influence and safety evaluation system of a power transmission tower line system.
A transmission tower line system wind induced response impact and security assessment system comprising:
a data acquisition module configured to: determining a power transmission tower line system to be evaluated, and acquiring ground wire parameters, power transmission tower line system operation data and environmental meteorological data;
a model building module configured to: establishing a ground wire temperature prediction model according to the ground wire parameters;
a database construction module configured to: based on the operation data of the power transmission tower line system and the environmental meteorological data, a ground wire temperature prediction model is adopted to obtain the ground wire temperature, so that a database is constructed;
a wind-induced response impact analysis module configured to: based on a database, analyzing a ground wire-insulator model and a finite element model of a power transmission tower wire system, determining an influence rule of the temperature change of the ground wire on the safety of the power transmission tower wire system under wind load, calculating failure probability of the power transmission tower wire system under different ground wire temperatures and wind speed working conditions, and establishing a vulnerability curve of the power transmission tower wire system under different temperatures; calculating the damage state overrun probability of the power transmission tower line system according to the vulnerability curves of the power transmission tower line system at different temperatures;
a security analysis module configured to: and calculating the damage state overrun probability considering the wind speed and the predicted temperature joint distribution probability based on the damage state overrun probability of the power transmission tower line system, and analyzing the safety of the wind-induced power transmission tower line system when the damage state overrun probability of the joint distribution probability reaches a set threshold value.
It should be noted that the data acquisition module, the model building module, the wind response influence analysis module and the security analysis module are the same as the examples and application scenarios implemented by the steps in the first embodiment, but are not limited to the disclosure of the first embodiment. It should be noted that the modules described above may be implemented as part of a system in a computer system, such as a set of computer-executable instructions.
Example IV
The present embodiment provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps in the transmission tower line system wind induced response impact and security assessment method as described in the above embodiment.
Example five
The present embodiment provides a computer device, including a memory, a processor, and a computer program stored in the memory and capable of running on the processor, where the processor implements the steps in the wind-induced response impact and safety assessment method of the power transmission tower line system according to the above embodiment when executing the program.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of a hardware embodiment, a software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, magnetic disk storage, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
Those skilled in the art will appreciate that implementing all or part of the above-described methods in accordance with the embodiments may be accomplished by way of a computer program stored on a computer readable storage medium, which when executed may comprise the steps of the embodiments of the methods described above. The storage medium may be a magnetic disk, an optical disk, a Read-Only Memory (ROM), a Random access Memory (Random AccessMemory, RAM), or the like.
The above description is only of the preferred embodiments of the present application and is not intended to limit the present application, but various modifications and variations can be made to the present application by those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (10)
1. The utility model provides a transmission tower line system wind induced response influence and safety evaluation method which is characterized by comprising the following steps:
determining a power transmission tower line system to be evaluated, and acquiring ground wire parameters, power transmission tower line system operation data and environmental meteorological data;
establishing a ground wire temperature prediction model according to the ground wire parameters;
based on the operation data of the power transmission tower line system and the environmental meteorological data, a ground wire temperature prediction model is adopted to obtain the ground wire temperature, so that a database is constructed;
based on a database, analyzing a ground wire-insulator model and a finite element model of a power transmission tower wire system, determining an influence rule of the temperature change of the ground wire on the safety of the power transmission tower wire system under wind load, calculating failure probability of the power transmission tower wire system under different ground wire temperatures and wind speed working conditions, and establishing a vulnerability curve of the power transmission tower wire system under different temperatures; calculating the damage state overrun probability of the power transmission tower line system according to the vulnerability curves of the power transmission tower line system at different temperatures;
and calculating the damage state overrun probability considering the wind speed and the predicted temperature joint distribution probability based on the damage state overrun probability of the power transmission tower line system, and analyzing the safety of the wind-induced power transmission tower line system when the damage state overrun probability of the joint distribution probability reaches a set threshold value.
2. The method for evaluating wind induced response influence and safety of a power transmission tower line system according to claim 1, wherein the conductive wire temperature prediction model is determined according to a static heat balance equation of a conductive wire, and the static heat balance equation of the conductive wire is:
q c +q r ＝q s +I 2 R(T avg )
wherein q is c Rate of convective heat loss per unit length, q r Radiant heat loss rate per unit length, q s For solar heat gain, I is conductor current, R (T avg ) Is the alternating current resistance of the conductor at that temperature.
3. The method for wind induced response impact and security assessment of a power transmission tower line system according to claim 1, wherein the process of analyzing the earth wire-insulator model and the power transmission tower line system finite element model comprises: determining the sag and stress change rule of the ground lead caused by the temperature change of the ground lead, calculating the modal information of the ground lead-insulator model and the modal information of the finite element model of the power transmission tower line system under different temperatures of the ground lead, comparing and analyzing to obtain the response, ultimate bearing capacity and damage characteristics of the ground lead and the power transmission tower line system under the action of wind load under different temperatures of the ground lead, and determining the influence rule of the temperature change on the safety of the power transmission tower line system under the wind load.
4. The method for evaluating wind induced response influence and safety of a power transmission tower line system according to claim 1, wherein the vulnerability curves of the power transmission tower line system at different temperatures are:
F R (IM o )＝P(EDP≥DS i |IM＝IM o )
wherein F is R (IM o ) EDP is a structural demand parameter, DS, for the probability that a structural performance state reaches or exceeds a certain threshold i For the ith damage state of the structure, IM is a wind load intensity index.
5. The method for evaluating the wind induced response impact and safety of a power transmission tower line system according to claim 1, wherein the process of analyzing the safety of the wind induced power transmission tower line system comprises: according to the distribution characteristics of wind speed and ground wire temperature in a database, a wind speed edge distribution probability model and a temperature edge distribution probability model are respectively established, a combined distribution model of the wind speed edge distribution probability model and a combined distribution model of the temperature edge distribution probability model are established, and the combined distribution probability of the wind speed and the ground wire temperature is calculated; and multiplying the joint distribution probability of the wind speed and the temperature of the ground wire by the damage state overrun probability of the vulnerability curve of the corresponding power transmission tower wire system to form a power transmission tower wire system damage probability curved surface under the common influence of the wind speed and the temperature.
6. The method for evaluating wind induced response influence and safety of a power transmission tower line system according to claim 5, wherein the process of constructing a joint distribution model of a wind speed edge distribution probability model and a joint distribution model of a temperature edge distribution probability model comprises: and constructing a joint distribution model of the wind speed edge distribution probability model and a joint distribution model of the temperature edge distribution probability model by adopting a Copula function.
7. The method for evaluating wind induced response influence and safety of a power transmission tower line system according to claim 1, wherein the model considering the probability of wind speed and predicted temperature joint distribution is: a Copula function is adopted to establish a joint distribution model between wind speed and ground wire temperature, and the adopted function is as follows:
f(x,y)＝c(u,v)·f(x)·g(y)
in the method, in the process of the application,density function, which is a two-dimensional Copula function, ">And-> Probability density functions for wind speed and ground wire temperature, respectively.
8. A transmission tower line system wind induced response impact and security assessment system, comprising:
a data acquisition module configured to: determining a power transmission tower line system to be evaluated, and acquiring ground wire parameters, power transmission tower line system operation data and environmental meteorological data;
a model building module configured to: establishing a ground wire temperature prediction model according to the ground wire parameters;
a database construction module configured to: based on the operation data of the power transmission tower line system and the environmental meteorological data, a ground wire temperature prediction model is adopted to obtain the ground wire temperature, so that a database is constructed;
a wind-induced response impact analysis module configured to: based on a database, analyzing a ground wire-insulator model and a finite element model of a power transmission tower wire system, determining an influence rule of the temperature change of the ground wire on the safety of the power transmission tower wire system under wind load, calculating failure probability of the power transmission tower wire system under different ground wire temperatures and wind speed working conditions, and establishing a vulnerability curve of the power transmission tower wire system under different temperatures; calculating the damage state overrun probability of the power transmission tower line system according to the vulnerability curves of the power transmission tower line system at different temperatures;
a security analysis module configured to: and calculating the damage state overrun probability considering the wind speed and the predicted temperature joint distribution probability based on the damage state overrun probability of the power transmission tower line system, and analyzing the safety of the wind-induced power transmission tower line system when the damage state overrun probability of the joint distribution probability reaches a set threshold value.
9. A computer readable storage medium having stored thereon a computer program, which when executed by a processor performs the steps in the transmission tower system wind induced response impact and safety assessment method according to any of claims 1-7.
10. A computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the steps in the transmission tower system wind induced response impact and security assessment method according to any one of claims 1-7 when the program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310934147.7A CN116956518B (en) | 2023-07-27 | 2023-07-27 | Wind-induced response influence and safety evaluation method and system for power transmission tower line system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310934147.7A CN116956518B (en) | 2023-07-27 | 2023-07-27 | Wind-induced response influence and safety evaluation method and system for power transmission tower line system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN116956518A true CN116956518A (en) | 2023-10-27 |
| CN116956518B CN116956518B (en) | 2024-04-30 |
Family
ID=88460080
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310934147.7A Active CN116956518B (en) | 2023-07-27 | 2023-07-27 | Wind-induced response influence and safety evaluation method and system for power transmission tower line system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116956518B (en) |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070271081A1 (en) * | 2006-05-19 | 2007-11-22 | 3M Innovative Properties Company | Overhead power transmission line conductor selection |
| CN105468876A (en) * | 2015-12-28 | 2016-04-06 | 国网山东省电力公司经济技术研究院 | Real-time online evaluation method and system for safety state of power transmission tower |
| CN106326584A (en) * | 2016-08-29 | 2017-01-11 | 国网江西省电力公司电力科学研究院 | Analysis method of transmission line wind-ice coupling load line breakage effect |
| CN107843285A (en) * | 2017-10-20 | 2018-03-27 | 国网浙江省电力公司经济技术研究院 | A kind of charming appearance and behaviour dynamic effect remote supervision system of Transmission Tower-line and application |
| CN111859767A (en) * | 2020-07-30 | 2020-10-30 | 国网重庆市电力公司电力科学研究院 | Power transmission line icing risk simulation evaluation method and device |
| CN114218835A (en) * | 2021-12-20 | 2022-03-22 | 大连理工大学 | Method for evaluating full-life anti-disaster performance of power transmission tower structure by considering wind-induced fatigue effect |
-
2023
- 2023-07-27 CN CN202310934147.7A patent/CN116956518B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20070271081A1 (en) * | 2006-05-19 | 2007-11-22 | 3M Innovative Properties Company | Overhead power transmission line conductor selection |
| CN105468876A (en) * | 2015-12-28 | 2016-04-06 | 国网山东省电力公司经济技术研究院 | Real-time online evaluation method and system for safety state of power transmission tower |
| CN106326584A (en) * | 2016-08-29 | 2017-01-11 | 国网江西省电力公司电力科学研究院 | Analysis method of transmission line wind-ice coupling load line breakage effect |
| CN107843285A (en) * | 2017-10-20 | 2018-03-27 | 国网浙江省电力公司经济技术研究院 | A kind of charming appearance and behaviour dynamic effect remote supervision system of Transmission Tower-line and application |
| CN111859767A (en) * | 2020-07-30 | 2020-10-30 | 国网重庆市电力公司电力科学研究院 | Power transmission line icing risk simulation evaluation method and device |
| CN114218835A (en) * | 2021-12-20 | 2022-03-22 | 大连理工大学 | Method for evaluating full-life anti-disaster performance of power transmission tower structure by considering wind-induced fatigue effect |
Non-Patent Citations (12)
| Title |
|---|
| BATTISTA C R , RODRIGUES S R , PFEIL S M: "Dynamic behavior and stability of transmission line towers under wind forces", JOURNAL OF WIND ENGINEERING INDUSTRIAL AERODYNAMICS, vol. 91, no. 8, 15 June 2003 (2003-06-15), pages 1051 - 1067 * |
| TIAN L , PAN H , MA R , ET AL: "Seismic failure analysis and safety assessment of an extremely long-span transmission tower-line system", STRUCTURAL ENGINEERING AND MECHANICS, vol. 71, no. 3, 1 January 2019 (2019-01-01), pages 305 - 315 * |
| TIANRU S , DANHUI H , XUEMING Z , ET AL: "Reliability Analysis and Safety Improvement Measures Research of Transmission Line Tower-Line Structure under Ice-Wind Conditions", IOP CONFERENCE SERIES: EARTH AND ENVIRONMENTAL SCIENCE, vol. 455, no. 1, 25 March 2020 (2020-03-25), pages 012033 * |
| 刘晓亮: "基于塔线体系的滑坡区输电铁塔风振响应分析", 《中国优秀硕士学位论文全文数据库 工程科技II辑》, no. 2023, 15 March 2023 (2023-03-15), pages 042 - 1216 * |
| 周洪刚: "导线覆冰大跨越输电塔-线体系动力特性分析", 《防灾减灾工程学报》, vol. 30, no. 02, 15 April 2010 (2010-04-15), pages 185 - 189 * |
| 常昊冉, 李川, 李英娜: "输电塔线体系的安全评估与预测研究", 数据通信, no. 02, 28 April 2022 (2022-04-28), pages 12 - 17 * |
| 徐震;张涛;葛向东;高峰;张来仪;张欣;田利: "风荷载作用下输电塔-线体系不确定性分析", 山东大学学报(工学版), no. 004, 31 December 2021 (2021-12-31), pages 99 - 105 * |
| 易文渊: "特高压输电塔线体系脱冰动力响应数值模拟研究", 《中国优秀硕士学位论文全文数据库 工程科技II辑》, no. 2011, 15 July 2011 (2011-07-15), pages 042 - 253 * |
| 李军辉;贾思棋;杜冬梅;丁亮亮;何青;刘彬;: "考虑径向温差的架空输电导线的动态增容分析", 湖南大学学报(自然科学版), no. 04, 25 April 2020 (2020-04-25), pages 57 - 66 * |
| 李春祥;李锦华;于志强;: "输电塔线体系抗风设计理论与发展", 振动与冲击, no. 10, 25 October 2009 (2009-10-25), pages 15 - 25 * |
| 王领: "覆冰导线舞动及风荷载下输电线路稳定性分析", 《中国优秀硕士学位论文全文数据库 工程科技II辑》, no. 2013, 15 April 2013 (2013-04-15), pages 042 - 261 * |
| 田利, 俞琪琦, 尹东等: "高压输电塔-线体系抗风雨的研究现状", 工业建筑, vol. 44, no. 06, 20 June 2014 (2014-06-20), pages 101 - 107 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN116956518B (en) | 2024-04-30 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Kubik et al. | Exploring the role of reanalysis data in simulating regional wind generation variability over Northern Ireland | |
| CN110321601B (en) | Advanced prediction method and system for dynamic current carrying capacity of overhead line | |
| Piliougine et al. | Modelling photovoltaic modules with neural networks using angle of incidence and clearness index | |
| Awad et al. | Predicting the energy production by solar photovoltaic systems in cold-climate regions | |
| Sidea et al. | Weather-based assessment of the overhead line conductors thermal state | |
| Zhu et al. | Online modelling and calculation for operating temperature of Silicon‐Based PV modules based on BP‐ANN | |
| Abdel-Jaber et al. | Systematic method for the validation of long-term temperature measurements | |
| Li et al. | Multivariable time series prediction for the icing process on overhead power transmission line | |
| Fu et al. | Modelling and prediction techniques for dynamic overhead line rating | |
| Staid et al. | Probabilistic maximum‐value wind prediction for offshore environments | |
| Korab et al. | A dynamic thermal model for a photovoltaic module under varying atmospheric conditions | |
| CN116956518B (en) | Wind-induced response influence and safety evaluation method and system for power transmission tower line system | |
| Bouaanani et al. | Finite difference thermoelastic analysis of suspended cables including extensibility and large sag effects | |
| US20220352714A1 (en) | System for estimating renewable energy generation quantity in real-time | |
| CN107730045B (en) | Baseline load thermal inertia correction method based on discrete inertia dynamics system | |
| Rahim et al. | Thermal rating monitoring of the TNB overhead transmission line using line ground clearance measurement and weather monitoring techniques | |
| Avila et al. | Daily irradiance test signal for photovoltaic systems by selection from long-term data | |
| Jie et al. | Thermal load forecasting based on pso-svr | |
| CN107329022A (en) | A kind of transmission line of electricity loadability analysis method | |
| Zou et al. | Full-scale measurements of wind structure and dynamic behaviour of a transmission tower during a typhoon | |
| Gong et al. | Risk prediction of low temperature in Nanjing city based on grey weighted Markov model | |
| KR20230103984A (en) | Apparatus and method for prediction of photovoltaic power generation applying algorithm based on climate cloud data | |
| Meng et al. | Copula-based wind-induced failure prediction of overhead transmission line considering multiple temperature factors | |
| Balangó et al. | Overview of a new dynamic line rating system, from modelling to measurement | |
| CN115130176A (en) | Bridge temperature gradient representative value estimation method based on long-term historical meteorological data |
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 |