CN-122021399-A - Method, system, equipment and medium for nonlinear simulation and prediction of transmission line galloping based on micro-topography multi-source data driving

Abstract

The invention discloses a transmission line galloping nonlinear simulation and prediction method, a system, equipment and a medium based on micro-topography multi-source data driving, which comprise the steps of analyzing a transmission line GIM model and geographic elevation data to construct a three-dimensional digital twin model; the method comprises the steps of obtaining a macroscopic meteorological wind speed, obtaining a wire local flow field by introducing a micro-topography correction factor to conduct scale-down correction on the macroscopic meteorological wind speed, then establishing a 3-DOF coupling dynamics equation comprising vertical, horizontal and torsion degrees of freedom based on nonlinear aerodynamic characteristics of the icing wire, finally solving a wire galloping track and amplitude through a time integration algorithm, and issuing risk early warning based on a phase-to-phase distance threshold. The method can truly reflect the coupling mechanism of the micro-topography wind field effect and the multiple degrees of freedom, remarkably improves the prediction accuracy of the galloping disasters of the power transmission line, and provides scientific basis for disaster prevention of the power grid.

Inventors

• Nie Xianglun
• HU HONGMING
• LI YUHANG
• CHEN SHIHAI
• LI SHILIN
• SONG RUN
• Zou Jiangyun
• MA XUDONG
• KANG YIWEI
• LI BO
• HUANG JIE
• WU YU
• WU BO
• LI YUNJI
• HU MENGJIN
• CAO WENQIANG
• QI YANBO
• LIU ZHANJUN
• LI YI
• NIE JING
• ZHANG YAO
• CAI DENGSHENG
• LIU FENGHAI
• ZHENG JIAQI
• DAI XINGDOU

Assignees

• 贵州电网有限责任公司

Dates

Publication Date

20260512

Application Date

20251226

Claims (10)

1. 1. The method for non-linear simulation and prediction of the galloping of the transmission line based on the micro-topography multi-source data driving is characterized by comprising the following steps: constructing a three-dimensional digital twin model of the power transmission line according to the acquired multi-source monitoring data of the power transmission line; identifying micro-topography features of the power transmission line, and correcting macroscopic wind speeds in the multi-source monitoring data of the power transmission line by utilizing micro-topography correction factors to obtain local corrected wind speed vectors; Constructing an aerodynamic coefficient model aiming at the section characteristics of the ice-covered wire; Establishing a multi-span wire-insulator string coupling dynamics equation considering geometric nonlinearity and torsional rigidity by utilizing a Hamiltonian principle; And carrying the local corrected wind speed vector into the multi-span wire-insulator string coupling dynamics equation, carrying out time domain solving by combining the aerodynamic coefficient model, obtaining a wire galloping track and amplitude, and carrying out risk assessment according to a preset safety threshold.
2. 2. The method for nonlinear simulation and prediction of transmission line galloping based on micro-topography multi-source data driving as recited in claim 1, wherein the constructing a three-dimensional digital twin model of the transmission line comprises: acquiring multisource monitoring data of a power transmission line, wherein the multisource monitoring data comprise power transmission line power grid information model data, high-precision digital elevation model data of a power transmission channel and meteorological monitoring data; Extracting line space geometric parameters and physical attributes from the power transmission line power grid information model data, and correcting the physical attributes by combining the meteorological monitoring data, wherein the correction at least comprises the step of calculating the total mass, the total moment of inertia and the ice-covering centroid eccentricity of the ice-covering wire in unit length according to the ice-covering thickness and the ice-covering density; and constructing a power transmission line structured finite element model in a three-dimensional space according to the geometric parameters and the corrected physical attributes, and performing terrain adaptation on the elevation of a suspension point of the model based on the high-precision digital elevation model data to form a power transmission line three-dimensional digital twin model reflecting the real space morphology and the mechanical attributes.
3. 3. The method for non-linear simulation and prediction of transmission line galloping based on micro-topography multi-source data driving as recited in claim 2, wherein the correcting the macroscopic wind speed in the transmission line multi-source monitoring data using the micro-topography correction factor comprises: Determining a terrain acceleration factor corresponding to the micro-terrain category according to the micro-terrain features; Acquiring a monitored macroscopic reference wind speed, and carrying out joint correction on the macroscopic wind speed in the multi-source monitoring data of the power transmission line by combining a wind profile height correction coefficient and the terrain acceleration factor; And calculating a local corrected wind speed vector acting on the wire based on the combined correction result.
4. 4. The method for nonlinear simulation and prediction of transmission line galloping based on micro-topography multi-source data driving as recited in claim 3, wherein the constructing the aerodynamic coefficient model comprises: Determining an initial wind attack angle of the section of the ice-coated wire; Calculating an instantaneous wind attack angle based on the initial wind attack angle and the motion state of the wire; and establishing a aerodynamic coefficient model through a nonlinear function fitting mode according to the instantaneous wind attack angle, wherein the aerodynamic coefficient comprises a lift coefficient, a resistance coefficient and a torque coefficient.
5. 5. The method for simulating and predicting the galloping nonlinearity of a transmission line based on micro-topography multi-source data driving as recited in claim 4, wherein the establishing a multi-span wire-insulator string coupling dynamics equation taking into account geometrical nonlinearity and torsional stiffness by using hamilton principle comprises: dispersing a power transmission wire into a plurality of space beam units, and deducing a mass matrix, a damping matrix and a rigidity matrix of each space beam unit; based on the mass matrix, the damping matrix and the rigidity matrix, a multi-span wire-insulator string coupling dynamics equation comprising vertical displacement, horizontal displacement and torsion angle is established according to the Hamiltonian principle.
6. 6. The method for non-linear simulation and prediction of transmission line galloping based on micro-topography multi-source data driving of claim 5, wherein performing a time domain solution comprises: updating the instantaneous wind attack angle and aerodynamic load vector according to the current wire motion state in each time step; Adopting a time integration algorithm in an increment form to iteratively solve a kinetic equation to obtain the displacement, the speed and the acceleration of the wire at each moment; and extracting a galloping track in a steady-state stage, and calculating the maximum vertical galloping amplitude and the horizontal galloping amplitude.
7. 7. The micro-topography multi-source data driven transmission line galloping nonlinear simulation and prediction method according to claim 6, further comprising: Setting a safety threshold based on the conductor galloping track and the amplitude and combining the phase-to-phase distance of the power transmission line; judging whether the maximum vertical galloping amplitude exceeds the safety threshold, and if so, generating a risk early warning signal; and outputting a visual result of the wire galloping track and a corresponding risk assessment conclusion.
8. 8. The transmission line galloping nonlinear simulation and prediction system based on micro-topography multi-source data driving is applied to the transmission line galloping nonlinear simulation and prediction method based on micro-topography multi-source data driving as set forth in any one of claims 1 to 7, and is characterized by comprising the following steps: the digital model construction module is used for constructing a three-dimensional digital twin model of the power transmission line according to the acquired multi-source monitoring data of the power transmission line; the micro-terrain wind field correction module is used for identifying micro-terrain features of the power transmission line, correcting macroscopic wind speeds in the multi-source monitoring data of the power transmission line by utilizing micro-terrain correction factors, and obtaining local corrected wind speed vectors; the aerodynamic coefficient construction module is used for constructing an aerodynamic coefficient model aiming at the section characteristics of the ice-covered wire; The dynamics equation construction module is used for establishing a multi-span wire-insulator string coupling dynamics equation considering geometric nonlinearity and torsional rigidity by utilizing the Hamiltonian principle; And the galloping prediction module is used for bringing the locally corrected wind speed vector into the multi-span wire-insulator string coupling dynamics equation, carrying out time domain solving by combining the aerodynamic coefficient model, obtaining wire galloping tracks and amplitudes, and carrying out risk assessment according to a preset safety threshold.
9. 9. An electronic device comprising a memory and a processor, wherein the memory is configured to store computer executable instructions, and the processor implements the steps of the method for simulating and predicting the galloping of a transmission line based on micro-topography multi-source data driving according to any one of claims 1 to 7 when executing the computer executable instructions.
10. 10. A computer readable storage medium having stored thereon computer executable instructions, wherein the computer executable instructions when executed by a processor implement the steps of the micro-topography based multi-source data driven transmission line galloping nonlinear simulation and prediction method of any one of claims 1 to 7.

Description

Method, system, equipment and medium for nonlinear simulation and prediction of transmission line galloping based on micro-topography multi-source data driving Technical Field The invention relates to the technical field of simulation and prediction of a power transmission line, in particular to a method, a system, equipment and a medium for nonlinear simulation and prediction of the galloping of the power transmission line based on micro-topography multi-source data driving. Background The reliability research of energy supply has a direct relation with the safe and stable operation of overhead transmission lines. However, in severe weather, the ice-covered power transmission line is very easy to dance under the action of wind excitation, and once the dance continuously occurs, serious accidents are necessarily caused. Particularly in high-altitude mountain areas in China, the topography and the topography are quite different, moreover, the wind field has obvious narrow pipe effect and non-stationary characteristics, after the transmission line is affected by local micro-topography, the transmission line can be caused to swing frequently, the swing form is more complex, and the traditional swing prevention treatment measures are often difficult to work. The existing research on the galloping of the power transmission line at home and abroad mainly depends on wind tunnel tests and numerical simulation technologies, but the existing technologies still have obvious defects in practical engineering application. For example, the existing engineering calculation method mostly adopts a single-degree-of-freedom model, and often ignores the strong coupling effect between the torsional movement and the vertical and horizontal movements of the lead. In practical applications, for asymmetric icing wires, neglecting torsional coupling can result in serious distortion of the predicted results. For another example, existing simulations are typically based on quasi-stationary assumptions and use fixed aerodynamic coefficients. However, in a micro-terrain complex wind field, the instantaneous attack angle is greatly changed due to the large-amplitude motion of the power transmission wire, and obvious nonlinear aerodynamic characteristics and wake interference effects exist. Conventional linear pneumatic models do not accurately describe this process. Therefore, development of a transmission line galloping nonlinear simulation and prediction method based on micro-topography multi-source data driving is urgently needed to improve active defense capability of disaster prevention and reduction of a power grid in a complex environment. Disclosure of Invention The present invention has been made in view of the above-described problems occurring in the prior art. Therefore, the invention provides a method, a system, equipment and a medium for nonlinear simulation and prediction of the galloping of a power transmission line based on micro-topography multi-source data driving, which solve the problems that in the prior art, the galloping simulation model of the power transmission line does not fully consider the correction of a micro-topography wind field, the nonlinear coupling effect of multiple degrees of freedom is insufficient, the degree of fusion with a power grid information model is low, and the galloping prediction precision is low in a complex mountain area environment. In order to solve the technical problems, the invention provides the following technical scheme: In a first aspect, the invention provides a transmission line galloping nonlinear simulation and prediction method based on micro-topography multi-source data driving, which comprises the following steps: constructing a three-dimensional digital twin model of the power transmission line according to the acquired multi-source monitoring data of the power transmission line; identifying micro-topography features of the power transmission line, and correcting macroscopic wind speeds in the multi-source monitoring data of the power transmission line by utilizing micro-topography correction factors to obtain local corrected wind speed vectors; Constructing an aerodynamic coefficient model aiming at the section characteristics of the ice-covered wire; Establishing a multi-span wire-insulator string coupling dynamics equation considering geometric nonlinearity and torsional rigidity by utilizing a Hamiltonian principle; And carrying the local corrected wind speed vector into the multi-span wire-insulator string coupling dynamics equation, carrying out time domain solving by combining the aerodynamic coefficient model, obtaining a wire galloping track and amplitude, and carrying out risk assessment according to a preset safety threshold. As a preferable scheme of the transmission line galloping nonlinear simulation and prediction method based on micro-topography multi-source data driving, the method for constructing the three-dimensional digital twin model of the trans