Analysis method and system for preventing high-voltage falling

Abstract

The invention relates to the technical field of electric power, in particular to an analysis method and system for preventing high-voltage falling. The method comprises the steps that information of the environment where a draught fan is located and inherent characteristic information of the draught fan are obtained, the information of the environment where the draught fan is located is analyzed based on the inherent characteristic information of the draught fan, and power generation state fluctuation information of the draught fan is determined; acquiring high-voltage power transmission line information, analyzing power transmission line dynamic fluctuation caused by the fan power generation state fluctuation information based on the high-voltage power transmission line information, and determining line dynamic vibration information; the vibration inherent frequency characteristics of the line background information are obtained, the line dynamic vibration information and the vibration inherent frequency characteristics are compared and analyzed, the line resonance risk caused by dynamic vibration is evaluated, and real-time line resonance risk information is output. Terrible accidents such as wire breakage and tower overturning possibly caused by resonance are effectively prevented, and the safety and stability of a high-voltage power transmission system are remarkably improved.

Description

Technical Field

[0001] The present application relates to the field of electric power technology, and in particular to an analysis method and system for preventing high voltage electricity from falling. Background Art

[0002] During the operation of offshore wind turbines, the safety status of the wind turbines and associated high-voltage power lines has a vital impact on the stable power supply of the power system and the safe operation of equipment. The external forces such as sea breeze and waves in the offshore environment will directly act on the wind turbines, which can easily cause resonance. When the vibration frequency of the wind turbine approaches the natural frequency, the vibration amplitude increases sharply. This resonance will be transmitted to the associated high-voltage electrical components through the wind turbine foundation, transmission line connection structure, etc., affecting their structural stability, and thus related to whether the high-voltage electricity will fall.

[0003] Existing analysis methods for preventing high-voltage power lines from falling usually use fixed-period manual inspections or unified threshold monitoring methods to evaluate the overall safety status of high-voltage power lines. However, the resonance state of offshore wind turbines will change in real time with the sea breeze intensity, wave impact force, etc., resulting in dynamic fluctuations in the risk of high-voltage power falling in different parts, and there are differences in the tolerance of various components to resonance transmission. Periodic static detection methods are difficult to meet the precise protection needs of high-voltage power lines under the dynamic influence of wind turbine resonance, resulting in untimely identification of potential falling risks and missed judgment of structural damage caused by resonance, which may cause high-voltage power falling accidents, resulting in power outages, equipment damage and even casualties, bringing serious economic losses. Summary of the Invention

[0004] The present application provides an analysis method and system for preventing high voltage electricity from falling, in order to solve the above technical problems.

[0005] In a first aspect, the present application provides an analysis method for preventing high voltage electricity from falling, the method comprising: Obtaining environmental information of the wind turbine and inherent characteristic information of the wind turbine, and analyzing the environmental information of the wind turbine based on the inherent characteristic information of the wind turbine to determine fluctuation information of the power generation state of the wind turbine; Acquiring high-voltage power transmission line information, analyzing the dynamic fluctuation of the power transmission line caused by the wind turbine power generation state fluctuation information based on the high-voltage power transmission line information, and determining the line dynamic vibration information; Obtain the vibration natural frequency characteristics of the line background information, compare and analyze the line dynamic vibration information with the vibration natural frequency characteristics, evaluate the line resonance risk caused by dynamic vibration, and output real-time line resonance risk information.

[0006] This solution enables precise analysis and risk control throughout the entire supply chain, bringing significant benefits in multiple dimensions. First, by acquiring information about the wind turbine's environment and inherent characteristics and analyzing and determining power generation state fluctuations, the root cause of the wind turbine's unstable power generation is accurately captured, providing reliable "fluctuation source" data for subsequent analysis. This avoids inaccurate subsequent assessments due to cognitive bias in fluctuations, and ensures the scientific nature of the entire analysis process from the source. Second, based on high-voltage transmission line information, the dynamic vibration of the line caused by power generation state fluctuations is analyzed, converting abstract power fluctuations into specific vibration information that fits the actual physical characteristics of the line. This ensures that the analysis of the line's dynamic response is highly consistent with the line's actual state, avoids misjudgment of vibration characteristics caused by simplified analysis, and lays a precise foundation for risk assessment. Finally, by comparing the line's dynamic vibration with its inherent frequency characteristics, the resonance risk is assessed and real-time information is output, achieving an effective transformation from "vibration phenomenon" to "risk warning," effectively preventing serious accidents such as conductor breakage and tower overturning that may be caused by resonance, and significantly improving the safety and stability of the high-voltage transmission system.

[0007] Optionally, the environmental information of the wind turbine includes sea breeze intensity, sea breeze action time characteristics, and sea breeze action direction; The inherent characteristic information of the wind turbine includes inherent parameters of the wind turbine structure, the windward area of ​​the blades and the inherent response characteristics of the power generation system; Based on the inherent characteristic information of the fan, analyzing the influence of the environmental information of the fan on the fan, and obtaining the operating state change data of the fan caused by the environmental effect; Based on the operating state change data, wind turbine power generation fluctuation information, wind turbine current fluctuation information, and wind turbine voltage fluctuation information are derived and determined.

[0008] Optionally, by establishing a dynamic correlation between the sea breeze intensity and the inherent parameters of the wind turbine structure, the periodic variation law and random disturbance characteristics in the time characteristics of the sea breeze action are analyzed to separate the periodic sea breeze intensity and the non-periodic sea breeze intensity; Based on the periodic sea breeze intensity and in combination with the inherent parameters of the wind turbine structure, a structural response matching analysis is performed on the periodic sea breeze intensity to obtain wind turbine vibration frequency data under the periodic wind load; Based on the non-periodic sea breeze intensity and the inherent response characteristics of the power generation system, the dynamic response of the wind turbine under the non-periodic wind load is tracked to obtain the instantaneous speed fluctuation of the wind turbine caused by turbulent impact; The fan vibration frequency data and the instantaneous speed fluctuation of the fan are integrated to construct a dynamic correlation map of the fan operation state, and obtain the operation state change data of the fan caused by the environment.

[0009] Optionally, based on the windward area of ​​the blades, combined with the fan vibration frequency data and the instantaneous speed fluctuation of the fan, periodic mechanical power input and non-periodic mechanical power input analysis are performed on the fan blades to obtain fan mechanical input change data corresponding to different power input types; Based on the wind turbine mechanical input change data and in combination with the direction of the sea breeze, determining the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency; Derivation of wind turbine power generation fluctuation information based on the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency; Based on the wind turbine power generation fluctuation information and combined with the inherent response characteristics of the power generation system, the distribution relationship between current and voltage in the transmission line is analyzed to obtain the wind turbine current fluctuation information and the wind turbine voltage fluctuation information.

[0010] Optionally, based on the wind turbine mechanical input change data and in combination with the difference in the angle of force exerted by the sea breeze on the wind turbine blades, power fluctuation characteristic input type analysis is performed separately: For the periodic mechanical power input, combined with the direction of the sea breeze, the thrust difference generated by the sea breeze in different directions on the blades under the periodic action is analyzed to determine the periodic fluctuation amplitude of the wind turbine mechanical power input; Based on the periodic sea breeze intensity, analyzing the period of change of the periodic mechanical power input over time, and determining the periodic mechanical power input frequency of the wind turbine; For the non-periodic mechanical power input, combined with the instantaneous speed fluctuation of the wind turbine, the difference in the instantaneous force generated when the non-periodic sea breeze strikes the blades in different directions is analyzed to obtain the instantaneous disturbance amplitude range of the non-periodic mechanical power input and determine the fluctuation amplitude of the non-periodic mechanical power input of the wind turbine; Based on the non-periodic fluctuation amplitude of the wind turbine mechanical power input, the time interval and intensity change rate of the non-periodic sea breeze intensity are tracked to determine the instantaneous frequency characteristics of the non-periodic mechanical power input; Integrating the periodic fluctuation amplitude of the wind turbine mechanical power input and the non-periodic fluctuation amplitude of the wind turbine mechanical power input to obtain the wind turbine mechanical power input fluctuation amplitude; The wind turbine mechanical power input frequency is obtained by integrating the periodic wind turbine mechanical power input frequency and the non-periodic mechanical power input instantaneous frequency characteristics.

[0011] Optionally, the high-voltage power transmission line information includes line structural parameters, line and wind turbine connection structural characteristics, and line inherent vibration parameters; Based on the high-voltage power transmission line information, analyzing the dynamic process of the wind turbine power fluctuation information being transmitted to the line through the transmission link, and determining the fluctuation transmission path and fluctuation vibration characteristics; Based on the wave transmission path and the wave vibration characteristics, the dynamic vibration information of the line under the influence of the wave vibration characteristics is derived and determined to obtain the dynamic vibration information of the line.

[0012] Optionally, based on the line structure parameters and the structural characteristics of the connection between the line and the wind turbine, the connection position between the wind turbine and the line and the line segment connection points are analyzed to determine the key transmission nodes of the transmission line; Based on the wind turbine power generation fluctuation information and in combination with the transmission key nodes of the transmission line, the transmission order and energy loss law of the wind turbine power generation between different transmission key nodes of the transmission line are analyzed to obtain the fluctuation transmission path; Based on the fluctuation transmission path and combined with the wind turbine mechanical power input frequency, the vibration frequency offset and amplitude attenuation caused by the differences in the line structure parameters during the transmission of the wind turbine power generation are analyzed, the vibration frequency change characteristics and vibration amplitude distribution characteristics of the fluctuations under different paths are determined, and the fluctuation vibration characteristics are obtained.

[0013] Optionally, based on several key transmission nodes of the transmission line and in combination with the fluctuation vibration characteristics, instantaneous vibration information generated by the power generation fluctuation on the line when it is transmitted between the nodes is analyzed to obtain inter-node vibration state information; Based on the inherent vibration parameters of the line and combined with the vibration status information between the nodes, the vibration status information of each segment and the inherent vibration parameters of the line are compared and analyzed to determine the vibration state and trend changes of each segment, form a vibration change trajectory covering the entire line, and obtain the dynamic vibration information of the line.

[0014] Optionally, based on the line background information and in combination with the line structural parameters, the natural frequency range of the line when there is no significant external disturbance is analyzed to determine the vibration natural frequency characteristics of the line; Comparing the line dynamic vibration information with the vibration natural frequency characteristics, analyzing the frequency proximity between the high voltage dynamic vibration frequency and the natural frequency, and obtaining frequency proximity information; Based on the frequency proximity information, analyzing the growth trend and duration of the vibration amplitude when the line dynamic vibration information is within the natural frequency range, and determining the resonance superposition of the dynamic information and the line natural vibration; Based on the frequency proximity information and in combination with the resonance superposition situation, the resonance risk of each section of the line is evaluated, and real-time line resonance risk information is output.

[0015] In a second aspect, the present application provides an analysis system for preventing high voltage electricity from falling, the system comprising: The wind turbine analysis module is used to obtain the environmental information and inherent characteristic information of the wind turbine, analyze the environmental information of the wind turbine based on the inherent characteristic information of the wind turbine, and determine the fluctuation information of the wind turbine's power generation state; the line analysis module is used to obtain high-voltage power transmission line information, analyze the dynamic fluctuation of the transmission line caused by the wind turbine's power generation state fluctuation information based on the high-voltage power transmission line information, and determine the dynamic vibration information of the line; the resonance evaluation module is used to obtain the vibration natural frequency characteristics of the line background information, compare and analyze the line dynamic vibration information with the vibration natural frequency characteristics, evaluate the line resonance risk caused by dynamic vibration, and output real-time line resonance risk information. BRIEF DESCRIPTION OF THE DRAWINGS

[0016] In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, a brief introduction will be given below to the drawings required for use in the embodiments or the description of the prior art. Obviously, the drawings described below are some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative labor.

[0017] Figure 1 A schematic diagram of an application scenario provided in one embodiment of the present application; Figure 2 A flowchart of an analysis method for preventing high voltage electricity from falling provided in one embodiment of the present application; Figure 3 A schematic structural diagram of an analysis system for preventing high voltage electricity from falling is provided in one embodiment of the present application. DETAILED DESCRIPTION

[0018] To make the purpose, technical solutions, and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without making creative efforts are within the scope of protection of this application.

[0019] In this document, the term "and / or" simply describes a relationship between related objects, indicating that three possible relationships exist. For example, "A and / or B" can represent: A exists alone, A and B exist simultaneously, or B exists alone. Furthermore, the character " / " in this document, unless otherwise specified, generally indicates an "or" relationship between the related objects.

[0020] The embodiments of the present application are described in further detail below with reference to the accompanying drawings.

[0021] During the operation of offshore wind turbines, the safety status of the wind turbines and associated high-voltage power lines has a vital impact on the stable power supply of the power system and the safe operation of equipment. The external forces such as sea breeze and waves in the offshore environment will directly act on the wind turbines, which can easily cause resonance. When the vibration frequency of the wind turbine approaches the natural frequency, the vibration amplitude increases sharply. This resonance will be transmitted to the associated high-voltage electrical components through the wind turbine foundation, transmission line connection structure, etc., affecting their structural stability, and thus related to whether the high-voltage electricity will fall.

[0022] Based on this, the present application provides an analysis method and system for preventing high-voltage electricity from falling. The precise analysis and risk control of the entire chain, by obtaining the environmental information and inherent characteristic information of the wind turbine and analyzing and determining the power generation state fluctuation information, accurately captures the root cause of the wind turbine's unstable power generation, and provides real and reliable "fluctuation source" data for analysis, avoiding the subsequent inaccurate evaluation caused by the cognitive bias of the fluctuation, and ensuring the scientific nature of the analysis process. Based on the information of the high-voltage power transmission line, the dynamic vibration of the line caused by the power generation state fluctuation is analyzed, and the abstract power fluctuation is converted into specific vibration information that fits the actual physical characteristics of the line, ensuring that the analysis of the dynamic response of the line is highly consistent with the actual state of the line, avoiding the misjudgment of vibration characteristics caused by simplified analysis, and laying a precise object foundation for risk assessment. By comparing the dynamic vibration of the line with the inherent frequency characteristics to evaluate the resonance risk and output real-time information, it realizes the effective transformation from "vibration phenomenon" to "risk warning", effectively preventing the possible serious accidents such as conductor breakage and tower overturning caused by resonance, and significantly improving the safety and stability of the high-voltage transmission system.

[0023] Figure 1 This is a schematic diagram of an application scenario provided by this application. During the operation of offshore wind turbines, the method provided by this application effectively prevents potential accidents such as conductor breakage and tower overturning caused by resonance, significantly improving the safety and stability of the high-voltage transmission system.

[0024] Specifically, the method of the present application is applied to any server, which uses wind turbine manufacturers, wind farm operation and maintenance companies, power grid operating companies and power planning and design units as data analysis sources. Through the server, the inherent characteristic information of the wind turbine provided by the wind turbine manufacturer, the environmental information of the wind turbine provided by the wind farm operation and maintenance company, the high-voltage power transmission line information provided by the power grid operating company and the line background information provided by the power planning and design unit are obtained. By obtaining the environmental information and inherent characteristic information of the wind turbine and analyzing and determining the power generation state fluctuation information, the root cause of the unstable power generation of the wind turbine is accurately captured, and the abstract power fluctuation is converted into specific vibration information that fits the actual physical characteristics of the line, ensuring that the analysis of the dynamic response of the line is highly consistent with the actual state of the line, avoiding the misjudgment of vibration characteristics caused by simplified analysis, comparing the dynamic vibration of the line with the inherent frequency characteristics to evaluate the line resonance risk and output real-time line resonance risk information, effectively preventing the possible serious accidents such as conductor breakage and tower overturning caused by resonance, and significantly improving the safety and stability of the high-voltage transmission system. The specific implementation method can refer to the following embodiments.

[0025] Figure 2 This is a flow chart of an analysis method for preventing high voltage electricity from falling provided in one embodiment of the present application. The method of this embodiment can be applied to the server in the above scenario. Figure 2 As shown, the method includes: S201 , obtaining information about the environment in which the wind turbine is located and inherent characteristic information of the wind turbine, analyzing the information about the environment in which the wind turbine is located based on the inherent characteristic information of the wind turbine, and determining information about fluctuations in power generation status of the wind turbine.

[0026] The environmental information of the wind turbine may be a set of external environmental parameters that affect the power generation performance of the wind turbine, and the information may be provided by the wind farm operation and maintenance company.

[0027] The inherent characteristic information of the wind turbine may be a collection of inherent parameters of the wind turbine structure, the windward area of ​​the blades, and inherent response characteristics of the power generation system. This information may be provided by the wind turbine manufacturer.

[0028] The wind turbine power generation state fluctuation information may be information about an unstable state of the wind turbine output power changing over time.

[0029] Specifically, during the operation of offshore wind turbines, wind turbines, as core power generation equipment, form a close energy transmission link with transmission lines. The stability of the power generation state is directly related to the dynamic operation performance of the transmission line. The power generation performance of wind turbines is highly dependent on external environmental conditions, especially the dynamic changes in wind speed. If the wind speed is too low, the blades cannot be driven to rotate. If the wind speed is too high, the protection mechanism must be triggered to shut down. Fluctuations in wind speed within the effective range will also directly lead to unstable output power. At the same time, the inherent characteristics of wind turbines will further amplify or suppress such fluctuations. For example, small-sized blades are more sensitive to wind speed changes and power fluctuations are more severe. Wind turbines with advanced maximum power tracking strategies can smooth fluctuations to a certain extent. If the environmental information and inherent characteristics of the wind turbine cannot be accurately obtained, or if the power generation state fluctuation information is not determined based on the analysis of the two, the dynamic impact analysis of the transmission line will lose a reliable basis.

[0030] S202: Acquire high-voltage power transmission line information, analyze the dynamic fluctuation of the power transmission line caused by the wind turbine power generation state fluctuation information based on the high-voltage power transmission line information, and determine the line dynamic vibration information.

[0031] The high-voltage power transmission line information may be a collection of information on the physical properties, structural characteristics, and operating parameters of the high-voltage transmission line, and the information may be provided by a power grid operating company.

[0032] The line dynamic vibration information may be the vibration state information generated by the transmission line under external excitation.

[0033] Specifically, during the operation of offshore wind turbines, high-voltage power transmission lines are the key channels connecting wind turbines and power grids. Their stable operation is directly related to the safety and reliability of power transmission. Fluctuations in the power generation state of wind turbines will cause dynamic changes in the current of the input transmission lines, and current changes will produce periodic excitations on the lines through electromagnetic forces or thermal effects. This excitation, together with the physical properties of the lines themselves, will cause dynamic vibrations in the lines. If the power generation fluctuation information is directly compared with the natural frequency of the lines, the key link of "how fluctuations are converted into vibrations" will be ignored: different line materials, spacings and tensions will cause the same power generation fluctuations to produce completely different vibration effects.

[0034] S203 , obtaining vibration natural frequency characteristics of the line background information, comparing and analyzing the line dynamic vibration information with the vibration natural frequency characteristics, evaluating the line resonance risk caused by the dynamic vibration, and outputting real-time line resonance risk information.

[0035] The vibration natural frequency characteristics of the line background information may be the natural vibration frequency range of the high-voltage transmission line determined by its own structure when there is no external excitation. This is an inherent property of the line, and this information may be provided by the power planning and design unit.

[0036] Real-time line resonance risk information can be information that evaluates the possibility of line resonance and potential impact based on the comparison results of dynamic vibration and natural frequency.

[0037] Specifically, during the operation of offshore wind turbines, line resonance is one of the most dangerous phenomena in physical systems. When the external excitation frequency is close to or consistent with the system's natural frequency, the system's vibration amplitude will be sharply amplified. For high-voltage transmission lines, resonance may cause excessive stretching of conductors, fatigue fracture, and even cause tower capsizing, resulting in large-scale power outages and equipment damage, seriously threatening the safety of the power system. Line dynamic vibration information can only reflect the current vibration state and cannot directly determine whether there is a risk. Therefore, it is necessary to obtain the line's natural frequency characteristics and compare the dynamic vibration frequency with it to accurately assess the resonance risk. Through scientific comparative analysis, abstract vibration data can be converted into actionable risk information, generating and outputting real-time line resonance risk information, providing timely and accurate decision-making basis, and avoiding serious accidents caused by resonance.

[0038] This solution enables precise analysis and risk control of the entire chain of resonance risks in wind turbine high-voltage transmission lines, bringing significant benefits in multiple dimensions. First, by obtaining environmental information and inherent characteristics of the wind turbine and analyzing and determining the fluctuation information of the power generation state, the root cause of the unstable power generation of the wind turbine is accurately captured, providing real and reliable "fluctuation source" data for analysis, avoiding inaccurate assessments caused by cognitive bias in fluctuations, and ensuring the scientific nature of the analysis process. Second, based on the information of the high-voltage power transmission line, the dynamic vibration of the line caused by the power generation state fluctuation is analyzed, and the abstract power fluctuation is converted into specific vibration information that fits the actual physical characteristics of the line. This ensures that the analysis of the dynamic response of the line is highly consistent with the actual state of the line, avoids the misjudgment of vibration characteristics caused by simplified analysis, and lays a precise object foundation for risk assessment. Finally, by comparing the dynamic vibration of the line with the inherent frequency characteristics to assess the resonance risk and output real-time information, an effective transformation from "vibration phenomenon" to "risk warning" is achieved, effectively preventing serious accidents such as conductor breakage and tower overturning that may be caused by resonance, and significantly improving the safety and stability of the high-voltage transmission system.

[0039] In some embodiments, the environmental information of the wind turbine includes the sea breeze intensity, the time characteristics of the sea breeze, and the direction of the sea breeze; the inherent characteristic information of the wind turbine includes the inherent parameters of the wind turbine structure, the windward area of ​​the blades, and the inherent response characteristics of the power generation system; based on the inherent characteristic information of the wind turbine, the impact of the environmental information of the wind turbine on the wind turbine is analyzed to obtain the operating status change data of the wind turbine caused by the environmental effects; based on the operating status change data, the wind turbine power generation fluctuation information, the wind turbine current fluctuation information, and the wind turbine voltage fluctuation information are derived and determined.

[0040] The sea breeze strength can be the measured sea surface wind speed at the location of the wind turbine.

[0041] The temporal characteristics of the sea breeze action can be the temporal pattern of the continuous action of the sea breeze.

[0042] The direction of the sea breeze may be the incident angle of the sea breeze relative to the wind turbine blades.

[0043] The windward area of ​​the blade can be the effective wind-receiving area when the blade rotates.

[0044] The operation status change data may be quantitative data of dynamic changes in the mechanical operation, energy conversion, and other states of the wind turbine under the influence of environmental information.

[0045] The inherent response characteristics of the power generation system can be the generator electromagnetic response time constant and the converter switching delay.

[0046] The wind turbine power generation fluctuation information may be data on the dynamic change of the electric power output by the wind turbine over time.

[0047] The wind turbine current fluctuation information may be instantaneous change data of the current output by the wind turbine to the transmission line.

[0048] The wind turbine voltage fluctuation information may be instantaneous change data of the wind turbine output terminal voltage.

[0049] Specifically, during the operation of offshore wind turbines, accurately obtaining the fluctuations in wind turbine power generation status is the core prerequisite for preventing high-voltage electricity from falling. This needs to be based on environmental and inherent characteristic information. Operational status data is the bridge between the environment and power generation fluctuations. Power generation power, current, and voltage fluctuations are the driving sources of transmission line vibration. Missing any fluctuation information will lead to the failure of resonance risk assessment. This step is divided into three stages: information collection, environmental impact analysis, and power generation fluctuation derivation. In the information collection stage, environmental data such as sea breeze intensity, time characteristics, and direction are obtained through meteorological equipment around the wind turbine. At the same time, inherent information such as wind turbine structural inherent parameters, blade windward area, and power generation system response characteristics are retrieved. In the environmental impact analysis stage, the blade thrust and tower vibration amplitude are calculated based on inherent parameters and combined with the sea breeze intensity. The stability and impact effects are judged through the time characteristics of the sea breeze, and the blade windward efficiency is corrected according to the wind direction, and finally the operating state change data such as vibration frequency and speed fluctuation are obtained; in the power generation fluctuation derivation stage, the mechanical parameters of the operating state are used, combined with the generator efficiency curve, to calculate the conversion of mechanical power to electrical power, and the power generation power fluctuation is deduced from the speed fluctuation. Then, based on circuit theory and transmission line characteristics, the current and voltage fluctuations are deduced from the power fluctuation, and finally the fluctuation information of the wind turbine power generation, current and voltage is formed, which fully presents the whole process from environmental effects to power generation fluctuations.

[0050] Through this solution, the definition and correlation logic of wind turbine environmental information and inherent characteristic information are clarified, and a complete analysis chain of "environmental impact-mechanical response-electrical fluctuation" is constructed. The inherent characteristics of wind turbines are distinguished to avoid general analysis, thereby improving the accuracy of operating status and power generation fluctuation data; using operating status data as a bridge, the impact path of the environment on the electrical system is clearly displayed, and the logical rigor is strengthened; accurate power, current and other fluctuation information provide reliable support for transmission line vibration analysis and resonance risk assessment; standardized processes enhance the universality of the method for wind turbines of different models and environments.

[0051] In some embodiments, by establishing a dynamic correlation between sea breeze intensity and inherent parameters of the wind turbine structure, the periodic change law and random disturbance characteristics in the time characteristics of the sea breeze are analyzed to separate the periodic sea breeze intensity and the non-periodic sea breeze intensity; based on the periodic sea breeze intensity, combined with the inherent parameters of the wind turbine structure, the structural response matching analysis of the periodic sea breeze intensity is performed to obtain the vibration frequency data of the wind turbine under periodic wind load; based on the non-periodic sea breeze intensity, combined with the inherent response characteristics of the power generation system, the dynamic response tracking of the wind turbine under non-periodic wind load is performed to obtain the instantaneous speed fluctuation of the wind turbine caused by turbulent impact; the wind turbine vibration frequency data and the instantaneous speed fluctuation of the wind turbine are integrated to construct a dynamic correlation map of the wind turbine operating status, and the operating status change data of the wind turbine caused by environmental effects are obtained.

[0052] Dynamic effect analysis can be a comprehensive consideration of the dynamic impact of environmental factors on the fan over time.

[0053] The periodic sea breeze intensity may be a sea breeze intensity with a stable periodic variation pattern.

[0054] Non-periodic sea breeze intensity can be a sea breeze intensity that has no fixed period and changes randomly.

[0055] Structural response matching analysis can be a method to analyze the matching relationship between the periodic sea breeze intensity and the wind turbine structure vibration based on the inherent parameters of the wind turbine structure to determine the vibration characteristics of the wind turbine under periodic loads.

[0056] Dynamic response tracking can be an analysis method that targets non-periodic wind loads, combines the inherent response characteristics of the power generation system, and tracks the changes in the operating status of the wind turbine in real time to capture instantaneous speed fluctuations.

[0057] The dynamic correlation map can be a map that integrates the vibration frequency data and instantaneous speed fluctuations of the fan to graphically display the dynamic correlation between the operating status of the fan and environmental factors.

[0058] Specifically, during wind power generation, the operating state of wind turbines is easily affected by environmental factors such as sea breezes. Sea breezes have complex temporal characteristics, with both periodic stable changes and non-periodic random disturbances. If the different effects of these two types of sea breeze intensities on wind turbines cannot be accurately distinguished, using only a single analysis method will lead to deviations in the judgment of changes in the operating state of wind turbines. This step establishes a dynamic correlation between sea breeze intensity and the inherent parameters of the wind turbine structure, analyzes the temporal characteristics of the sea breeze effect, and extracts the periodic change patterns (such as the sea breeze cycle caused by daily tides) and random disturbance characteristics (such as sudden turbulence), thereby separating the sea breeze intensity into periodic sea breeze intensity and non-periodic sea breeze intensity. For the periodic sea breeze intensity, it is necessary to carry out structural response matching analysis in combination with the inherent parameters of the wind turbine structure (such as tower stiffness, blade modal frequency, and damping ratio). The implementation methods are as follows: Use finite element analysis software (such as ANSYS) to build a refined numerical model of the wind turbine structure, enter the geometric parameters and material properties of the wind turbine tower, blades, and hub into the model, and set wind load time history curves of different periods (such as 12-hour tidal cycle, 24-hour sea and land breeze cycle) in the model based on the separated periodic sea breeze intensity data. The load action process is simulated through the transient dynamic analysis module, and virtual sensors are set at key positions of the model (such as the top of the tower and the root of the blade) to collect vibration displacement, velocity, and acceleration data. The time domain signal is converted into a frequency domain signal using the Fourier transform algorithm, and the main frequency and harmonic components of the vibration are extracted to obtain the periodic wind load action. The vibration frequency data of the wind turbine under periodic wind loads is used to obtain the vibration frequency data of the wind turbine under periodic wind loads; for non-periodic sea breeze intensity, it is necessary to combine the inherent response characteristics of the power generation system (such as the inertia parameters of the power generation system and the feedback adjustment speed) to track the dynamic response of the wind turbine under non-periodic wind loads in real time. The specific implementation method is: install high-precision speed sensors (sampling frequency is not less than 1kHz) on the main shaft and gearbox output end of the wind turbine, deploy a three-dimensional ultrasonic anemometer at the cabin position to collect real-time wind speed turbulence data, and construct a dynamic response transfer function model based on parameters such as the power generation system moment of inertia and the variable pitch system response time. The Kalman filter algorithm is used to reduce the noise of the original speed signal collected by the sensor, and the instantaneous mutation component in the signal is decomposed by wavelet transform to accurately identify the speed fluctuation peak and duration caused by turbulent impact. Combined with the converter power regulation data uploaded in real time by the SCADA system, a non-periodic load-speed fluctuation correlation database is established to record the instantaneous speed fluctuation data of the wind turbine and obtain the instantaneous speed fluctuation data of the wind turbine. Finally, the above-mentioned wind turbine vibration frequency data and instantaneous speed fluctuation data are integrated, and a dynamic correlation map is constructed to intuitively display the correspondence between different sea breeze intensity types and wind turbine operating status parameters, thereby forming the operating status change data of the wind turbine caused by environmental effects.

[0059] Through this solution, the different effects of periodic and non-periodic sea breeze intensities on wind turbines can be accurately distinguished, and the corresponding wind turbine vibration frequency data and instantaneous speed fluctuations can be obtained respectively, thereby improving the accuracy of the analysis of wind turbine operating status changes; the constructed dynamic correlation map can comprehensively display the correlation between the wind turbine operating status and environmental factors, providing a reliable data basis for analyzing the fluctuation information of wind turbine power generation status, and helping to more accurately evaluate the dynamic fluctuation and resonance risks of transmission lines; at the same time, this step fully considers the interaction between the inherent characteristics of the wind turbine and environmental information, making the analysis process more in line with actual operating conditions, and providing scientific and effective data support for the overall analysis of preventing high-voltage electricity from falling, which helps to improve the safety and stability of wind power generation systems.

[0060] In some embodiments, based on the windward area of ​​the blades, combined with the fan vibration frequency data and the instantaneous speed fluctuation of the fan, the wind turbine blades are analyzed for periodic mechanical power input and non-periodic mechanical power input, respectively, to obtain wind turbine mechanical input change data corresponding to different power input types; based on the wind turbine mechanical input change data, combined with the direction of sea breeze, the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency are determined; based on the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency, the wind turbine power generation fluctuation information is derived; based on the wind turbine power generation fluctuation information, combined with the inherent response characteristics of the power generation system, the distribution relationship between current and voltage in the transmission line is analyzed to obtain wind turbine current fluctuation information and wind turbine voltage fluctuation information.

[0061] The wind turbine vibration frequency data may be the mechanical vibration frequency generated by the wind turbine structure under the action of periodic sea breeze.

[0062] The instantaneous speed fluctuation of the wind turbine can be the instantaneous change in the generator rotor speed caused by turbulence impact.

[0063] The periodic mechanical power input may be a steady mechanical power input generated by regular sea breeze.

[0064] Non-periodic mechanical power input can be transient mechanical power input caused by random turbulence or sudden wind shear.

[0065] The inherent response characteristics of the power generation system may be the electrical response delay and filtering characteristics of the generator set to mechanical power fluctuations.

[0066] Specifically, during the wind power generation process, the mechanical power input of the wind turbine is affected by the sea breeze and presents complex characteristics, including both periodic components (such as regular sea breeze changes) and non-periodic components (such as turbulent impact). If these two components are not distinguished and analyzed, it will lead to inaccurate description of the fluctuation of the wind turbine mechanical power input, thereby affecting the reliability of the analysis of power generation, current and voltage fluctuations. This step is based on the windward area of ​​the blades, combined with the wind turbine vibration frequency data (reflecting periodic wind loads) and instantaneous speed fluctuations (reflecting non-periodic wind loads), and respectively calculates the periodic mechanical power input (calculating the energy input change per unit time based on the periodic characteristics of the vibration frequency) and the non-periodic mechanical power input (calculating the energy input change per unit time based on the instantaneous speed fluctuations) received by the blades. The random fluctuation of speed at different times is used to capture the sudden change of instantaneous energy input) for analysis; combined with the direction of sea breeze, the fluctuation amplitude of periodic mechanical power input is determined by comparing the difference of blade thrust under the periodic action of sea breeze in different directions, and the frequency is determined according to the period of periodic sea breeze intensity change. For non-periodic mechanical power input, the fluctuation amplitude (instantaneous disturbance amplitude range) is obtained by combining the instantaneous speed fluctuation analysis with the instantaneous force difference of non-periodic sea breeze impact in different directions. Specifically, a high-precision speed sensor is installed on the main shaft of the wind turbine to collect instantaneous speed data, and after using the wavelet denoising algorithm to remove the measurement noise, a mapping model of speed fluctuation and aerodynamic load is established based on the momentum-blade element theory to calculate the difference of instantaneous thrust coefficient under different wind direction angles. , determine the instantaneous disturbance amplitude range by statistical criteria, determine the instantaneous frequency characteristics by tracking the time interval and change rate of non-periodic sea breeze intensity, use ultrasonic anemometer to synchronously collect three-dimensional wind speed data, use autocorrelation analysis method to calculate the time interval distribution of turbulent gusts, combine curve fitting method to obtain wind speed change rate curve, convert time domain signal to frequency domain by Fourier transform, extract the main frequency component in the low frequency band as instantaneous frequency characteristics, and then integrate the fluctuation amplitude and frequency of the two to obtain the total wind turbine mechanical power input fluctuation amplitude and frequency; on this basis, combine the wind turbine energy conversion efficiency to deduce the power generation power fluctuation information (reflecting the change of output electric power over time), and set torque sensor and electric power sensor Mechanical input power and output electrical power are collected in real time, the instantaneous conversion efficiency is calculated, and the efficiency-power characteristic curve is established. The function of efficiency changing with input power is obtained based on the curve fitting method. Combined with the inherent response characteristics of the power generation system (such as generator voltage regulation and current output characteristics), a dynamic equivalent circuit model including the generator synchronous reactance and the excitation winding time constant is established. The transmission line simulation module is built using simulation tools, and the line resistance and inductance parameters are introduced to simulate the transmission loss. The coupling relationship between voltage, current and power is established according to the power balance equation. The equation is solved by the power flow calculation method, and the current and voltage fluctuation information under different working conditions is calculated, finally completing the analysis of the entire process from mechanical input to electrical parameter fluctuations.

[0067] This solution accurately distinguishes between the periodic and non-periodic mechanical power inputs of wind turbine blades. Combined with the impact of the sea breeze's direction on power input, it accurately calculates the amplitude and frequency of fluctuations in the wind turbine's mechanical power input, providing a reliable basis for deriving power generation fluctuation information. Furthermore, the current and voltage fluctuation information obtained by combining the inherent response characteristics of the power generation system can truly reflect the impact of the wind turbine's operating status on the transmission line, providing high-quality data support for analyzing the dynamic vibration and resonance risks of transmission lines. This improves the accuracy and refinement of wind turbine electrical parameter fluctuation analysis, helps identify potential line safety hazards caused by power fluctuations in advance, and provides scientific guidance for taking targeted protective measures, thereby improving the operational safety of high-voltage transmission lines and reducing the probability of high-voltage electrical fall accidents.

[0068] In some embodiments, based on the wind turbine mechanical input change data, combined with the difference in the angle of the force on the wind turbine blades caused by the direction of the sea breeze, the power fluctuation characteristic input type analysis is performed separately: for periodic mechanical power input, combined with the direction of the sea breeze, the thrust difference generated by the sea breeze in different directions on the blades under the periodic action is analyzed to determine the periodic wind turbine mechanical power input fluctuation amplitude; based on the periodic sea breeze intensity, the period of change of the periodic mechanical power input over time is analyzed to determine the periodic wind turbine mechanical power input frequency; for non-periodic mechanical power input, combined with the instantaneous speed fluctuation of the wind turbine, the impact of the non-periodic sea breeze intensity in different directions is analyzed. The instantaneous disturbance amplitude range of the non-periodic mechanical power input is obtained by measuring the strength difference of the instantaneous force generated when the blades are moving, and the fluctuation amplitude of the non-periodic wind turbine mechanical power input is determined; based on the fluctuation amplitude of the non-periodic wind turbine mechanical power input, the time interval and intensity change rate of the non-periodic sea breeze intensity are tracked to determine the instantaneous frequency characteristics of the non-periodic mechanical power input; the fluctuation amplitude of the periodic wind turbine mechanical power input and the fluctuation amplitude of the non-periodic wind turbine mechanical power input are integrated to obtain the fluctuation amplitude of the wind turbine mechanical power input; the periodic wind turbine mechanical power input frequency and the instantaneous frequency characteristics of the non-periodic mechanical power input are integrated to obtain the wind turbine mechanical power input frequency.

[0069] The fluctuation amplitude of the wind turbine mechanical power input can be the maximum difference between the wind turbine mechanical power input and the average level during the fluctuation process, and is an important indicator for measuring the stability of power input.

[0070] The fan mechanical power input frequency may be the number of fluctuations of the fan mechanical power input per unit time, reflecting the intensity of power input fluctuations.

[0071] The thrust difference may be the difference in magnitude of the thrust exerted on the blades when periodic sea breezes from different directions act on the blades of the wind turbine.

[0072] The instantaneous disturbance amplitude range may be a range of changes in magnitude of the instantaneous force generated when the non-periodic sea breeze intensity impacts the blade.

[0073] The instantaneous frequency characteristics can be the changing characteristics of the instantaneous frequency during the non-periodic mechanical power input fluctuation process.

[0074] Specifically, in the process of wind power generation, the sea breeze, as the core power source of wind turbine power generation, does not have a single and stable effect, but rather exhibits complex directionality and volatility - there are both periodic regular changes (such as the periodic increase or decrease of the sea breeze caused by the alternation of day and night), and non-periodic random disturbances (such as turbulence, sudden gusts of wind, etc.). This complexity causes the forces acting on the wind turbine blades to exhibit diverse characteristics, and the wind turbine mechanical power input is the direct conversion result of the blade force, and the fluctuation amplitude and frequency are inevitably significantly affected by the sea breeze direction and fluctuation type. This step analyzes the mechanical power input of the wind turbine, studies the periodic and non-periodic parts respectively, and integrates the results. For the periodic mechanical power input analysis, based on the periodic part of the wind turbine mechanical input change data and combined with the direction of the sea breeze, the difference in thrust of the blades caused by periodic sea breezes in different directions is analyzed. For example, the thrust is maximum when the sea breeze blows vertically from the front of the blade, and the thrust decreases when it blows obliquely from the side, thereby determining the fluctuation amplitude of the periodic mechanical power input; at the same time, based on the action cycle of the periodic sea breeze intensity, such as the periodic change of sea breeze intensity at a specific time period every day, by collecting high-sampling frequency power input time series data for multiple consecutive time periods, a sliding time window is used to perform segmented autocorrelation analysis on the data to identify recurring periodic peaks, and the time domain periodic signal is converted to the frequency domain by combining Fourier transform. The periodic parameters corresponding to the main frequency peak are extracted through the power spectrum density diagram, and then the identified day and night cycle is converted into the basic frequency based on the conversion relationship between frequency and period. If there is a semi-diurnal cycle The period superposition corresponds to the secondary frequency component, which clarifies the quantitative derivation process of the periodic mechanical power input frequency and further determines the periodic mechanical power input frequency. For the analysis of non-periodic mechanical power input, we focus on the non-periodic part of the data, combine the instantaneous speed fluctuations of the wind turbine caused by the non-periodic sea breeze intensity, and analyze the instantaneous force differences when the non-periodic sea breeze hits the blade in different directions based on the blade aerodynamic characteristic model (including the lift coefficient and drag coefficient curves at different attack angles): when the sudden turbulence hits the blade from the chord length direction (front) at a small attack angle, the airflow adhesion is optimal, the lift coefficient reaches a peak, and the instantaneous thrust shows a significant increase trend, resulting in a sudden increase in power input; when the turbulence hits the blade from the side at a larger angle of attack, the airflow undergoes boundary layer separation, the drag coefficient dominates the force, and the thrust is significantly reduced compared to the front impact; when the turbulence hits the back of the blade in the reverse direction, the airflow forms a strong vortex area, the lift coefficient suddenly becomes negative, the instantaneous thrust drops significantly compared to the steady-state value, causing a sudden drop in power input. By comparing the force coefficient change curves under impacts in different directions with the measured power fluctuation data, the instantaneous disturbance amplitude range of the non-periodic mechanical power input is obtained and its fluctuation amplitude is determined; at the same time, the time interval of the non-periodic sea breeze intensity (such as the time difference between two turbulent impacts) and the intensity change rate (such as the rate of increase and decrease of sea breeze intensity in a short period of time) are tracked to determine the instantaneous frequency characteristics of the non-periodic mechanical power input, such as the frequency mutation point, duration, etc.Finally, the analysis results are integrated to integrate the fluctuation amplitudes of the periodic and non-periodic mechanical power inputs to obtain the total wind turbine mechanical power input fluctuation amplitude; the periodic mechanical power input frequency and the instantaneous frequency characteristics of the non-periodic mechanical power input are integrated to obtain the total wind turbine mechanical power input frequency.

[0075] This solution accurately distinguishes the fluctuation characteristics of periodic and non-periodic mechanical power inputs, and fully considers the impact of the sea breeze direction on the blade force, thereby improving the calculation accuracy of the fluctuation amplitude and frequency of the wind turbine's mechanical power input. This precise analysis result provides reliable basic data for deducing the fluctuation of wind turbine power generation, current fluctuation and voltage fluctuation, thereby making the assessment of dynamic vibration and resonance risks of transmission lines more accurate. Ultimately, by accurately identifying potential line resonance risks, it is helpful to take protective measures in advance, reduce the risk of high-voltage transmission lines falling due to excessive vibration, and ensure the safe and stable operation of high-voltage transmission systems.

[0076] In some embodiments, the high-voltage power transmission line information includes line structural parameters, line and wind turbine connection structural characteristics, and line inherent vibration parameters; based on the high-voltage power transmission line information, the dynamic action process of the wind turbine power generation fluctuation information being transmitted to the line through the transmission link is analyzed, and the fluctuation transmission path and fluctuation vibration characteristics are determined; based on the fluctuation transmission path and fluctuation vibration characteristics, the dynamic vibration information of the line under the influence of the fluctuation vibration characteristics is derived and determined, and the dynamic vibration information of the line is obtained.

[0077] The line dynamic vibration information may be a collection of information on the vibration state of the high-voltage power transmission line during the dynamic fluctuation process.

[0078] Line structure parameters may be parameters that describe the physical structure of the high voltage power transmission line itself.

[0079] The structural characteristics of the connection between the line and the wind turbine may be structural characteristic parameters reflecting the connection portion between the wind turbine and the high voltage power transmission line.

[0080] The line natural vibration parameters may be the inherent vibration-related parameters of the high-voltage power transmission line itself when no external dynamic load is applied.

[0081] The fluctuation transmission path may be a path through which the dynamic load generated by the fluctuation of the power generation state of the wind turbine is transmitted from the wind turbine to the high-voltage power transmission line.

[0082] The wave vibration characteristics may be vibration properties exhibited when dynamic waves are transmitted in the transmission line.

[0083] Specifically, during wind power generation, high-voltage transmission lines are the core hub connecting wind turbine systems to the power grid. Their safe and stable operation is directly related to the reliability of power transmission. Fluctuations in wind turbine power generation (such as power, current, and voltage) can create dynamic loads on the transmission lines through the transmission links, causing them to vibrate. If the vibrations are persistent or excessive, they can cause fatigue damage to the lines, loosen connections, and even lead to serious accidents such as line failure. Therefore, accurately analyzing the dynamic fluctuations of transmission lines and determining the dynamic vibration information of lines are key links in assessing line resonance risks and preventing high-voltage electricity from falling. In the analysis of dynamic vibrations of high-voltage transmission lines, first, by integrating the transmission line design documents, operation and maintenance records and online monitoring data, the line structure parameters, the line and wind turbine connection structure characteristics and the line inherent vibration parameters (such as inherent vibration frequency, vibration mode) are extracted to form a complete high-voltage transmission line information set; on this basis, based on the line and wind turbine connection structure characteristics, and combined with the line structure parameters (such as conductor material, cross-sectional dimensions, tower support stiffness), by establishing a wave transmission theory model (such as a line transmission model based on distributed parameters), the attenuation law and phase change characteristics of the fluctuations in different line sections (such as wind turbine outlet section and span section) are clarified, and then the transmission path of the fluctuations from the wind turbine to each section of the line is determined, thereby completing the analysis of the dynamic effect of the wind turbine power generation state fluctuations on the transmission line; then, according to the wave transmission path, the dynamic The propagation of fluctuations in transmission lines involves analyzing the vibration responses at different locations. For periodic wind turbine fluctuations (such as power fluctuations caused by periodic sea breezes), the inherent vibration parameters of the line are combined and simulated by establishing a line vibration dynamics equation (introducing damping coefficients and stiffness parameters). The online monitored vibration frequency data is compared with the theoretical inherent frequency to analyze whether the vibration frequency of the line under periodic loads is offset (such as frequency attenuation and resonant frequency shift) due to line damping and conductor elastic deformation. For non-periodic wind turbine fluctuations (such as instantaneous power fluctuations caused by turbulence), the instantaneous changes in the line vibration amplitude are analyzed (such as the vibration peak under impact loads). These changes are then integrated to obtain the fluctuation vibration characteristics, including the vibration frequency change characteristics and the vibration amplitude distribution characteristics. Finally, based on this fluctuation vibration characteristic, key parameters such as the vibration frequency, vibration amplitude, vibration duration, and vibration propagation speed of each section of the line are extracted to form complete line dynamic vibration information, providing data support for the assessment of resonance risks.

[0084] Through this solution, the high-voltage power transmission line information and the wind turbine power generation status fluctuation information are integrated, which not only establishes a clear connection between "wind turbine fluctuation-line vibration", but also clearly reveals the process of wind turbine fluctuation being transmitted to the line and causing vibration, providing a logically complete technical chain for analysis; it also analyzes dynamic fluctuations based on the structure and connection characteristics of specific lines, avoiding the distortion of vibration information caused by ignoring individual differences in lines, effectively improving the accuracy and pertinence of line dynamic vibration information, and ensuring the reliability of input data for resonance risk assessment; on this basis, by outputting line dynamic vibration information, a solid data foundation is provided for assessing resonance risks and formulating operation and maintenance strategies, which not only provides key technical support for preventing high-voltage power falls, but also helps to promptly detect high-risk states of line fatigue damage and reduce the probability of line breakage and falls due to resonance; it can also take targeted measures based on accurate information, while ensuring line safety, avoiding the waste of resources caused by excessive operation and maintenance, thereby improving the safety and economy of transmission line operation and achieving a balance between safety and efficiency.

[0085] In some embodiments, based on the line structure parameters and the characteristics of the line-to-wind turbine connection structure, the connection points between the wind turbine and the line and the line segment connection points are analyzed to determine the key transmission nodes of the transmission line; based on the wind turbine power generation fluctuation information and combined with the key transmission nodes of the transmission line, the transmission order and energy loss law of the wind turbine power generation between different transmission key nodes of the transmission line are analyzed to obtain the fluctuation transmission path; based on the fluctuation transmission path and combined with the wind turbine mechanical power input frequency, the vibration frequency offset and amplitude attenuation caused by the difference in line structure parameters during the transmission of the wind turbine power generation are analyzed, the vibration frequency change characteristics and vibration amplitude distribution characteristics of the fluctuation under different paths are determined, and the fluctuation vibration characteristics are obtained.

[0086] The transmission link may be the complete path between the wind turbine and the high voltage electric transmission line for the transmission of electric energy.

[0087] The dynamic action process can be the mechanical interaction and energy transfer process between the wind turbine power generation fluctuation and the line structure, connection nodes, etc. when the wind turbine power generation fluctuation is transmitted through the transmission link.

[0088] The key nodes of transmission lines can be the connection points or segmentation points in the transmission link that have a decisive influence on the transmission of power fluctuations.

[0089] The fluctuation transmission path may be a specific propagation path of the wind turbine power generation fluctuation in the transmission link.

[0090] Vibration frequency deviation can be a phenomenon in which the vibration frequency deviates from the initial frequency due to differences in line structural parameters (such as conductor material and tower spacing) during the transmission of wind turbine power fluctuations.

[0091] The amplitude attenuation can be the degree to which the vibration amplitude is weakened during the transmission of the fluctuating energy due to factors such as line resistance and connection node loss.

[0092] The wave vibration characteristics can be the comprehensive characteristics of the line vibration during the wave transmission process.

[0093] Specifically, during wind power generation, wind turbine power fluctuations are transmitted through transmission links, causing line vibrations. This correlation requires analysis of the transmission path and vibration characteristics as a key bridge. Skipping this analysis will lead to distorted cause judgments, as the same fluctuation may be buffered or amplified along different paths. This analysis is also a prerequisite for accurately identifying risk areas. It can locate energy-concentrated segments and clarify the vibration differences between each segment, avoiding risk assessments that remain at the overall level. At the same time, it can clearly identify vibration frequency offsets and amplitude attenuation, ensuring accurate resonance risk judgments and preventing misjudgments. This step solves the above problem through the following method: First, based on the line structure parameters and line-to-wind turbine connection structure characteristics in the high-voltage power transmission line information, the transmission link is segmented and analyzed to identify key locations: the connection points between the wind turbine and the transmission line (such as the tower top flange connection), the line segment connection points (such as the suspension points of the tension tower insulator strings), and the nodes at line bends or crossings (such as the corner tower or the conductor suspension points of the long-span section). These nodes, as key locations for energy conversion or loss during wave transmission, are marked as key transmission nodes of the transmission line. Next, combined with the identified key nodes, the wind turbine power generation fluctuation information (including fluctuation amplitude, frequency, and duration) is introduced. By tracking the transmission order of the fluctuation energy between the key nodes and recording the loss data in the energy transfer process (such as power attenuation caused by wire resistance and energy dissipation caused by loose connection nodes), the complete transmission trajectory of the fluctuation from the wind turbine to the transmission line trunk, that is, the fluctuation transmission path, is constructed; finally, the key nodes (such as the pole tower connection and the middle section of the wire) are located according to the fluctuation transmission path, and high-frequency vibration sensors are arranged in the line sections between the nodes to synchronously collect vibration signals. At the same time, the wind turbine control system data is connected to extract the periodic frequency of the mechanical power input (such as the 50Hz base frequency during stable operation) and the non-periodic instantaneous frequency (such as the fluctuation frequency during start-up and shutdown, and load mutation) . The two types of frequency data are aligned with the vibration signal in time and space using data synchronization technology. The vibration spectrum of each line section is analyzed using spectrum analysis tools (such as Fourier transform), and the structural parameter records of different line sections are compared. The conductor material (copper core and aluminum core) and cross-sectional area are analyzed in detail. Under the difference, the offset of the main vibration frequency and harmonics is established, and a "structural parameter-frequency offset" correlation model is established to quantify the influence of material hardness and cross-sectional inertia moment on the vibration frequency change. For example, high-frequency fluctuations may appear to have a lower frequency in thin wire segments, and low-frequency fluctuations may appear to have an increase in frequency in long-distance segments. At the same time, the weakening of the vibration amplitude due to line loss of the fluctuation energy (i.e., amplitude attenuation) is recorded, and the vibration frequency offset and amplitude attenuation data are integrated to form the vibration frequency change characteristics (such as offset range, frequency stability) and vibration amplitude distribution characteristics (such as amplitude peak position, attenuation rate) of each line segment, which together constitute the fluctuation vibration characteristics.

[0094] Through this solution, the fluctuation transmission path and vibration characteristics are clarified, the ambiguous association between wind turbine power fluctuation and line vibration is broken, and the analysis process is upgraded from "overall attribution" to "precise positioning", which provides a clear basis for evaluating the resonance risk of each line segment and lays the foundation for resonance risk assessment; on this basis, based on the frequency and amplitude differences of different line segments in the fluctuation vibration characteristics, targeted prevention and control measures can be formulated, such as strengthening the buffer design of high-frequency sensitive line segments and strengthening inspections of line segments with slow amplitude attenuation, avoiding the waste of resources of "one-size-fits-all" prevention and control, and enhancing the targeted nature of resonance risk prevention and control; at the same time, by accurately identifying the fluctuation transmission rules and line vibration characteristics, this embodiment can provide early warning of potential resonance hazards, effectively reduce the risk of accidents such as high-voltage line breakage and falling due to resonance, and effectively ensure the safety of high-voltage power transmission.

[0095] In some embodiments, based on several key transmission nodes of the transmission line and combined with the characteristics of fluctuation vibration, the instantaneous vibration information generated by the power generation fluctuation on the line when it is transmitted between the nodes is analyzed to obtain the vibration status information between the nodes; based on the inherent vibration parameters of the line and combined with the vibration status information between the nodes, the vibration status information of each section and the inherent vibration parameters of the line are compared and analyzed to determine the vibration status and trend changes of each section of vibration, form a vibration change trajectory covering the entire line, and obtain the dynamic vibration information of the line.

[0096] The key transmission nodes of the transmission line can be the connection points, structural turning points or load concentration points that play a decisive role in the transmission of vibration signals in the high-voltage transmission line.

[0097] The fluctuating vibration characteristics may be the inherent properties of the vibration in terms of frequency, amplitude, propagation speed, etc., caused by the power fluctuation of the wind turbine being transmitted to the line through the transmission link.

[0098] Instantaneous vibration information can be the real-time status data such as the instantaneous vibration amplitude, vibration direction, and vibration frequency generated by the line at a certain moment when the power generation fluctuation is transmitted between key nodes of the transmission line.

[0099] The inter-node vibration state information may be the overall state data of the line section between two adjacent transmission line key nodes during the vibration process.

[0100] The line natural vibration parameters may be the natural vibration properties of the transmission line determined by its own structure when there is no external disturbance.

[0101] The vibration state information of each segment can be the vibration state data of each segment after the transmission line is divided into several segments according to the key transmission nodes, which is a detailed expression of the vibration state information between nodes.

[0102] The vibration state and trend change can be the vibration state of each line section at the current moment and the change direction within a period of time in the future.

[0103] The vibration change trajectory can be formed by integrating the vibration status and trend changes of each section of the line in spatial order to form a dynamic vibration change path covering the entire transmission line, reflecting the vibration transmission process and overall law from one end to the other end of the line.

[0104] Dynamic vibration information can be comprehensive information that can fully reflect the real-time vibration status and overall change trend of the transmission line under the influence of power generation fluctuations.

[0105] Specifically, in the process of wind power generation, the high-voltage power transmission line is an integral structure composed of multiple line segments, and its vibration does not exist in isolation - the vibration of a certain node will be transmitted to the adjacent node through the line, thereby affecting the stability of the entire line. If there is no analysis of the vibration state between the nodes and the construction of the overall vibration trajectory of the line, it is impossible to fully grasp the vibration situation of the line from the local to the overall; this step solves the above problem through the following steps: First, mark and monitor each key node: when the power generation fluctuation is transmitted through the transmission link, the vibration signal at each key node is collected in real time, including the vibration amplitude, frequency and duration, and the vibration transmission process between adjacent nodes is analyzed (for example, the amplitude attenuation and frequency change when the vibration is transmitted from node A to node B), and then the instantaneous vibration information between the nodes is extracted; then, the instantaneous vibration information between the adjacent nodes is integrated and the interference data is removed to obtain the overall vibration of the line segment between the two key nodes. The system then retrieves the inter-node vibration status information of the transmission line (such as the natural frequency of each line segment and the maximum vibration amplitude), compares the inter-node vibration status information with the natural vibration parameters of the corresponding line segment, and determines the current vibration status of the line segment (such as stable, slightly fluctuating, or violent vibration) and future trend changes (such as the vibration amplitude will increase by 10% within 5 minutes) by analyzing whether the actual vibration frequency is close to the natural frequency and whether the vibration amplitude exceeds the safety threshold. Finally, the vibration status and trend changes of each line segment are connected in series according to the spatial distribution order of the transmission line to form a vibration change trajectory covering the entire line. For example, from the starting point to the end point of the line, the vibration of each line segment shows a process of "slight vibration → gradual increase → violent vibration → decay". This trajectory can fully obtain dynamic vibration information that comprehensively reflects the real-time vibration status of the line under the influence of power generation fluctuations.

[0106] Through this solution, dynamic vibration information covering the entire line is constructed, which achieves a comprehensive grasp of the vibration status of the high-voltage power transmission line, avoids risk omissions caused by local analysis, and provides complete and accurate data support for resonance risk assessment; by comparing the vibration status of each section of the line with the natural vibration parameters, it is possible to accurately identify line segments with abnormal vibration, providing a clear direction for targeted risk prevention and control - for example, reinforcement measures can be taken preferentially for line segments with vibration frequencies close to the natural frequency, thereby improving the effectiveness of prevention and control measures; it helps to predict potential vibration superposition risks in advance, so as to take intervention measures before high-voltage power falling accidents occur, significantly improving the operational safety of high-voltage power transmission lines; the entire process realizes the connection from local vibration monitoring to overall vibration analysis, ensures the logic and systematicness of the analysis method, and provides scientific and reliable technical support for preventing high-voltage power falling.

[0107] In some embodiments, based on the line background information and combined with the line structural parameters, the natural frequency range of the line is analyzed when there is no significant external disturbance, and the vibration natural frequency characteristics of the line are determined; the dynamic vibration information of the line is compared with the vibration natural frequency characteristics, and the frequency proximity between the high-voltage dynamic vibration frequency and the natural frequency is analyzed to obtain frequency proximity information; based on the frequency proximity information, the growth trend and duration of the vibration amplitude when the line dynamic vibration information is within the natural frequency range are analyzed to determine the resonance superposition of the dynamic information and the line natural vibration; based on the frequency proximity information and combined with the resonance superposition, the resonance risk of each section of the line is evaluated, and real-time line resonance risk information is output.

[0108] The natural vibration frequency characteristic can be the natural vibration frequency range determined by the line's own structural characteristics when there is no significant external disturbance, and is an inherent physical property of the line structure itself.

[0109] The line dynamic vibration information may be real-time vibration data generated by the transmission line under the influence of fluctuations in the power generation state of the wind turbine.

[0110] The frequency proximity information may be an indicator for quantifying the degree of proximity between the dynamic vibration frequency of the circuit and the natural vibration frequency characteristics.

[0111] The resonance superposition situation can be the cumulative growth trend and duration of the vibration amplitude over time when the dynamic vibration frequency of the line falls within the natural frequency range.

[0112] Real-time line resonance risk information can be a quantitative assessment result of the possibility of resonance occurring in each section of the line and the potential degree of harm based on the resonance superposition and frequency proximity information.

[0113] Specifically, high-voltage power transmission lines are a key component of the power system, and their structural stability is directly related to the safety and reliability of power transmission. During the operation of the lines, dynamic vibration caused by fluctuations in the power generation status of wind turbines (such as power, current, and voltage fluctuations) is one of the common external disturbances. When the dynamic vibration frequency is close to or coincides with the natural frequency of the line, it is very easy to cause resonance - resonance will cause the vibration amplitude to be sharply amplified. Under long-term action, it may cause fatigue damage to the line, loosening of connecting components, and even cause serious accidents such as line breakage and tower toppling, that is, "high-voltage power falling", which not only causes large-scale power outages, but also may endanger the safety of surrounding personnel and equipment. In the analysis method for preventing high-voltage electricity from falling: linking the previous analysis with risk output, converting the line dynamic vibration information obtained in the previous step into a quantifiable risk assessment by comparing the natural frequency characteristics, building a key bridge from "phenomenon analysis" to "risk warning"; it can also make up for the hidden dangers of ignoring the natural frequency, and identify the implicit resonance risk of "low amplitude but close to the natural frequency" in advance through frequency proximity analysis, to avoid structural failure caused by long-term resonance cumulative damage; it can also achieve refined risk assessment, and compare the different natural frequency characteristics formed by different sections due to differences in structural parameters in different sections, accurately locate high-risk sections, and provide targeted basis for operation and maintenance; it can better support real-time decision-making and preventive measures. The output real-time line resonance risk information can grasp the dynamics in time, and take measures such as adjusting the operation of wind turbines and strengthening the line tightening in advance to reduce the probability of accidents from the source. The corresponding implementation process is: first collect background information such as line material, cross-sectional size, span length, tower type and historical vibration data, and combine it with elastic modulus, density and other structures. The natural vibration frequency range of the line without significant external disturbances is calculated using finite element simulation and structural dynamics analysis methods to determine the natural frequency characteristics of the vibration. The obtained dynamic vibration information of the line, such as the vibration frequency and amplitude in each time period, is then compared with the natural frequency characteristics section by section, and the overlap between the dynamic vibration frequency and the natural frequency range of each section is calculated to obtain frequency proximity information. For sections where the frequency proximity exceeds a preset threshold, the temporal trend of the dynamic vibration amplitude is tracked. If the dynamic vibration frequency is within the natural frequency range, the vibration amplitude is analyzed to determine whether it increases over time (i.e., the resonance effect accumulates), and the duration of this state is recorded to determine the intensity and impact range of the resonance superposition. Finally, based on the frequency proximity information and resonance superposition, the resonance risk level of each section of the line is comprehensively assessed (e.g., "high risk" corresponds to sections with high frequency proximity and obvious resonance superposition, and "low risk" corresponds to sections where the frequency deviates from the natural range). Information such as the risk level, affected sections, and risk duration is integrated into real-time line resonance risk information.

[0114] Through this solution, technical means have produced significant beneficial effects in many aspects: at the risk assessment level, the relationship between natural frequency and dynamic vibration is analyzed in sections, avoiding the limitations of overall assessment, optimizing the accuracy of risk assessment, and making the investment of operation and maintenance resources more efficient; in terms of response mechanism, the real-time output of resonance risk information can be linked with the wind turbine control and line operation and maintenance systems to achieve closed-loop management of "risk monitoring-decision adjustment-preventive measures", enhancing real-time response capabilities and improving the dynamic stability of the power system; in terms of safety assurance, by accurately identifying resonance risks, early warning of potential structural damage hazards, providing clear intervention targets, effectively improving the safety of line operation, and reducing the probability of high-voltage power falling accidents; and in terms of long-term benefits, with the help of early intervention in resonance risks, fatigue damage to the line caused by long-term resonance is reduced, thereby extending the effective use time of the line.

[0115] Figure 3 A schematic diagram of the structure of an analysis system for preventing high voltage electricity from falling is provided in one embodiment of the present application. Figure 3 As shown, an analysis system 300 for preventing high-voltage power drop in this embodiment includes: a fan analysis module 301 , a line analysis module 302 and a resonance analysis module 303 .

[0116] The wind turbine analysis module 301 is used to obtain the environmental information of the wind turbine and the inherent characteristic information of the wind turbine, analyze the environmental information of the wind turbine based on the inherent characteristic information of the wind turbine, and determine the fluctuation information of the wind turbine's power generation state; the line analysis module 302 is used to obtain the high-voltage power transmission line information, analyze the dynamic fluctuation of the transmission line caused by the wind turbine's power generation state fluctuation information based on the high-voltage power transmission line information, and determine the dynamic vibration information of the line; the resonance evaluation module 303 is used to obtain the vibration natural frequency characteristics of the line background information, compare and analyze the line dynamic vibration information with the vibration natural frequency characteristics, evaluate the line resonance risk caused by dynamic vibration, and output real-time line resonance risk information.

[0117] Optionally, in the wind turbine analysis module 301, the environmental information of the wind turbine includes sea breeze intensity, sea breeze action time characteristics, and sea breeze action direction; the inherent characteristic information of the wind turbine includes inherent parameters of the wind turbine structure, blade frontal area, and inherent response characteristics of the power generation system; based on the inherent characteristic information of the wind turbine, the impact of the environmental information of the wind turbine on the wind turbine is analyzed to obtain the operating status change data of the wind turbine caused by the environmental effect; based on the operating status change data, the wind turbine power generation fluctuation information, wind turbine current fluctuation information, and wind turbine voltage fluctuation information are derived and determined.

[0118] Optionally, in the wind turbine analysis module 301, a dynamic correlation relationship between the sea breeze intensity and the inherent parameters of the wind turbine structure is established to analyze the periodic change law and random disturbance characteristics in the time characteristics of the sea breeze action, and separate the periodic sea breeze intensity and the non-periodic sea breeze intensity; based on the periodic sea breeze intensity, combined with the inherent parameters of the wind turbine structure, a structural response matching analysis is performed on the periodic sea breeze intensity to obtain the wind turbine vibration frequency data under periodic wind loads; based on the non-periodic sea breeze intensity, combined with the inherent response characteristics of the power generation system, the wind turbine under non-periodic wind loads is dynamically tracked to obtain the instantaneous speed fluctuations of the wind turbine caused by turbulent impact; the wind turbine vibration frequency data and the instantaneous speed fluctuations of the wind turbine are integrated to construct a dynamic correlation map of the wind turbine operating status to obtain the operating status change data of the wind turbine caused by environmental effects.

[0119] Optionally, in the line analysis module 302, based on the windward area of ​​the blades, combined with the wind turbine vibration frequency data and the instantaneous speed fluctuation of the wind turbine, the wind turbine blades are analyzed for periodic mechanical power input and non-periodic mechanical power input, respectively, to obtain wind turbine mechanical input change data corresponding to different power input types; based on the wind turbine mechanical input change data, combined with the direction of the sea breeze, the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency are determined; based on the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency, the wind turbine power generation fluctuation information is derived; based on the wind turbine power generation fluctuation information, combined with the inherent response characteristics of the power generation system, the distribution relationship between current and voltage in the transmission line is analyzed to obtain the wind turbine current fluctuation information and the wind turbine voltage fluctuation information.

[0120] Optionally, in the circuit analysis module 302, based on the wind turbine mechanical input change data, combined with the difference in the angle of the force of the wind turbine blades due to the direction of the sea breeze, the power fluctuation characteristic input type analysis is performed respectively: for the periodic mechanical power input, combined with the direction of the sea breeze, the thrust difference generated by the sea breeze in different directions on the blades under the periodic action is analyzed to determine the periodic fluctuation amplitude of the wind turbine mechanical power input; based on the periodic sea breeze intensity, the change period of the periodic mechanical power input over time is analyzed to determine the periodic mechanical power input frequency of the wind turbine; for the non-periodic mechanical power input, combined with the instantaneous speed fluctuation of the wind turbine, the non-periodic sea breeze intensity is analyzed The instantaneous disturbance amplitude range of the non-periodic mechanical power input is obtained by taking into account the difference in the strength of the instantaneous force generated when the wind speed impacts the blades in different directions, and the non-periodic mechanical power input fluctuation amplitude is determined; based on the non-periodic mechanical power input fluctuation amplitude of the wind turbine, the time interval and intensity change rate of the non-periodic sea breeze intensity are tracked to determine the instantaneous frequency characteristics of the non-periodic mechanical power input; the periodic mechanical power input fluctuation amplitude of the wind turbine and the non-periodic mechanical power input fluctuation amplitude of the wind turbine are integrated to obtain the mechanical power input fluctuation amplitude of the wind turbine; the periodic mechanical power input frequency of the wind turbine and the instantaneous frequency characteristics of the non-periodic mechanical power input are integrated to obtain the mechanical power input frequency of the wind turbine.

[0121] Optionally, in the resonance analysis module 303, the high-voltage power transmission line information includes line structural parameters, line and wind turbine connection structural characteristics, and line inherent vibration parameters; based on the high-voltage power transmission line information, the dynamic action process of the wind turbine power generation fluctuation information being transmitted to the line through the transmission link is analyzed, and the fluctuation transmission path and the fluctuation vibration characteristics are determined; based on the fluctuation transmission path and the fluctuation vibration characteristics, the dynamic vibration information of the line under the influence of the fluctuation vibration characteristics is derived and determined, and the dynamic vibration information of the line is obtained. Optionally, in the resonance evaluation module, based on the line structural parameters and the structural characteristics of the connection between the line and the wind turbine, the connection parts between the wind turbine and the line and the line segment connection points are analyzed to determine the key transmission nodes of the transmission line; based on the wind turbine power generation fluctuation information and combined with the key transmission nodes of the transmission line, the transmission order and energy loss law of the wind turbine power generation between different key transmission nodes of the transmission line are analyzed to obtain the fluctuation transmission path; based on the fluctuation transmission path and combined with the wind turbine mechanical power input frequency, the vibration frequency offset and amplitude attenuation caused by the difference in the line structural parameters during the transmission process of the wind turbine power generation are analyzed to determine the vibration frequency change characteristics and vibration amplitude distribution characteristics of the fluctuations under different paths to obtain the fluctuation vibration characteristics.

[0122] Optionally, in the resonance evaluation module 303, based on the line background information and combined with the line structural parameters, the natural frequency range of the line when there is no significant external disturbance is analyzed to determine the vibration natural frequency characteristics of the line; the dynamic vibration information of the line is compared with the vibration natural frequency characteristics, and the proximity between the high-voltage dynamic vibration frequency and the natural frequency is analyzed to obtain frequency proximity information; based on the frequency proximity information, the growth trend and duration of the vibration amplitude when the dynamic vibration information of the line is within the natural frequency range are analyzed to determine the resonance superposition of the dynamic information and the line natural vibration; based on the frequency proximity information and the resonance superposition, the resonance risk of each section of the line is evaluated, and real-time line resonance risk information is output.

[0123] The system of this embodiment can be used to execute the method of any of the above embodiments. Its implementation principles and technical effects are similar and will not be described in detail here.

Claims

1. An analytical method for preventing high voltage electricity from falling, characterized in that: include: Obtaining environmental information of the wind turbine and inherent characteristic information of the wind turbine, and analyzing the environmental information of the wind turbine based on the inherent characteristic information of the wind turbine to determine fluctuation information of the power generation state of the wind turbine; Acquiring high-voltage power transmission line information, analyzing the dynamic fluctuation of the power transmission line caused by the wind turbine power generation state fluctuation information based on the high-voltage power transmission line information, and determining the line dynamic vibration information; Obtain the vibration natural frequency characteristics of the line background information, compare and analyze the line dynamic vibration information with the vibration natural frequency characteristics, evaluate the line resonance risk caused by dynamic vibration, and output real-time line resonance risk information.

2. The method according to claim 1, characterized in that The obtaining of the wind turbine environment information and the wind turbine inherent characteristic information, and analyzing the wind turbine environment information based on the wind turbine inherent characteristic information to determine the wind turbine power generation state fluctuation information includes: The environmental information of the wind turbine includes sea breeze intensity, sea breeze action time characteristics, and sea breeze action direction; The inherent characteristic information of the wind turbine includes inherent parameters of the wind turbine structure, the windward area of ​​the blades and the inherent response characteristics of the power generation system; Based on the inherent characteristic information of the fan, analyzing the influence of the environmental information of the fan on the fan, and obtaining the operating state change data of the fan caused by the environmental effect; Based on the operating state change data, wind turbine power generation fluctuation information, wind turbine current fluctuation information, and wind turbine voltage fluctuation information are derived and determined.

3. The method according to claim 2, characterized in that The method of performing a dynamic analysis of the environment information of the fan based on the inherent characteristic information of the fan to obtain the operating state change data of the fan caused by the environment includes: By establishing a dynamic correlation between the sea breeze intensity and the inherent parameters of the wind turbine structure, the periodic variation law and random disturbance characteristics in the time characteristics of the sea breeze action are analyzed, and the periodic sea breeze intensity and the non-periodic sea breeze intensity are separated; Based on the periodic sea breeze intensity and in combination with the inherent parameters of the wind turbine structure, a structural response matching analysis is performed on the periodic sea breeze intensity to obtain wind turbine vibration frequency data under the periodic wind load; Based on the non-periodic sea breeze intensity and the inherent response characteristics of the power generation system, the dynamic response of the wind turbine under the non-periodic wind load is tracked to obtain the instantaneous speed fluctuation of the wind turbine caused by turbulent impact; The fan vibration frequency data and the instantaneous speed fluctuation of the fan are integrated to construct a dynamic correlation map of the fan operation state, and obtain the operation state change data of the fan caused by the environment.

4. The method according to claim 3, characterized in that The derivation and determination of wind turbine power generation fluctuation information, wind turbine current fluctuation information, and wind turbine voltage fluctuation information based on the operating state change data includes: Based on the windward area of ​​the blades, combined with the fan vibration frequency data and the instantaneous speed fluctuation of the fan, the fan blades are analyzed for periodic mechanical power input and non-periodic mechanical power input, and the fan mechanical input change data corresponding to different power input types are obtained respectively; Based on the wind turbine mechanical input change data and in combination with the direction of the sea breeze, determining the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency; Derivation of wind turbine power generation fluctuation information based on the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency; Based on the wind turbine power generation fluctuation information and combined with the inherent response characteristics of the power generation system, the distribution relationship between current and voltage in the transmission line is analyzed to obtain the wind turbine current fluctuation information and the wind turbine voltage fluctuation information.

5. The method according to claim 4, characterized in that The determining of the wind turbine mechanical power input fluctuation amplitude and the wind turbine mechanical power input frequency based on the wind turbine mechanical input change data and in combination with the sea breeze action direction includes: Based on the wind turbine mechanical input change data and the difference in the angle of the sea breeze acting on the wind turbine blades, the power fluctuation characteristic input type analysis is performed respectively: For the periodic mechanical power input, combined with the direction of the sea breeze, the thrust difference generated by the sea breeze in different directions on the blades under the periodic action is analyzed to determine the periodic fluctuation amplitude of the wind turbine mechanical power input; Based on the periodic sea breeze intensity, analyzing the period of change of the periodic mechanical power input over time, and determining the periodic mechanical power input frequency of the wind turbine; For the non-periodic mechanical power input, combined with the instantaneous speed fluctuation of the wind turbine, the difference in the instantaneous force generated when the non-periodic sea breeze strikes the blades in different directions is analyzed to obtain the instantaneous disturbance amplitude range of the non-periodic mechanical power input and determine the fluctuation amplitude of the non-periodic mechanical power input of the wind turbine; Based on the non-periodic fluctuation amplitude of the wind turbine mechanical power input, the time interval and intensity change rate of the non-periodic sea breeze intensity are tracked to determine the instantaneous frequency characteristics of the non-periodic mechanical power input; Integrating the periodic fluctuation amplitude of the wind turbine mechanical power input and the non-periodic fluctuation amplitude of the wind turbine mechanical power input to obtain the wind turbine mechanical power input fluctuation amplitude; The wind turbine mechanical power input frequency is obtained by integrating the periodic wind turbine mechanical power input frequency and the non-periodic mechanical power input instantaneous frequency characteristics.

6. The method according to claim 5, characterized in that The obtaining of high-voltage power transmission line information, analyzing the dynamic fluctuation of the power transmission line caused by the wind turbine power generation state fluctuation information based on the high-voltage power transmission line information, and determining the line dynamic vibration information includes: The high-voltage power transmission line information includes line structural parameters, line and wind turbine connection structural characteristics and line inherent vibration parameters; Based on the high-voltage power transmission line information, analyzing the dynamic process of the wind turbine power fluctuation information being transmitted to the line through the transmission link, and determining the fluctuation transmission path and fluctuation vibration characteristics; Based on the wave transmission path and the wave vibration characteristics, the dynamic vibration information of the line under the influence of the wave vibration characteristics is derived and determined to obtain the dynamic vibration information of the line.

7. The method according to claim 6, characterized in that The step of analyzing the dynamic process of transmitting the wind turbine power fluctuation information to the line through the transmission link based on the high-voltage power transmission line information, and determining the fluctuation transmission path and the fluctuation vibration characteristics, includes: Based on the line structure parameters and the characteristics of the connection structure between the line and the wind turbine, the connection parts between the wind turbine and the line and the line segment connection points are analyzed to determine the key transmission nodes of the transmission line; Based on the wind turbine power generation fluctuation information and in combination with the transmission key nodes of the transmission line, the transmission order and energy loss law of the wind turbine power generation between different transmission key nodes of the transmission line are analyzed to obtain the fluctuation transmission path; Based on the fluctuation transmission path and combined with the wind turbine mechanical power input frequency, the vibration frequency offset and amplitude attenuation caused by the differences in the line structure parameters during the transmission of the wind turbine power generation are analyzed, the vibration frequency change characteristics and vibration amplitude distribution characteristics of the fluctuations under different paths are determined, and the fluctuation vibration characteristics are obtained.

8. The method according to claim 7, characterized in that The derivation and determination of the dynamic vibration information of the line under the influence of the wave vibration characteristics based on the wave transmission path and the wave vibration characteristics to obtain the dynamic vibration information of the line includes: Based on several of the key transmission nodes of the transmission line and in combination with the fluctuation vibration characteristics, the instantaneous vibration information generated by the power generation fluctuation on the line when it is transmitted between the nodes is analyzed to obtain the vibration state information between the nodes; Based on the inherent vibration parameters of the line and combined with the vibration status information between the nodes, the vibration status information of each segment and the inherent vibration parameters of the line are compared and analyzed to determine the vibration state and trend changes of each segment, form a vibration change trajectory covering the entire line, and obtain the dynamic vibration information of the line.

9. The method according to claim 7, characterized in that The acquisition of the vibration natural frequency characteristics of the line background information, the comparison and analysis of the line dynamic vibration information and the vibration natural frequency characteristics, the assessment of the line resonance risk caused by the dynamic vibration, and the output of real-time line resonance risk information include: Based on the line background information and in combination with the line structural parameters, the natural frequency range of the line is analyzed when there is no significant external disturbance, and the vibration natural frequency characteristics of the line are determined; Comparing the line dynamic vibration information with the vibration natural frequency characteristics, analyzing the frequency proximity between the high voltage dynamic vibration frequency and the natural frequency, and obtaining frequency proximity information; Based on the frequency proximity information, analyzing the growth trend and duration of the vibration amplitude when the line dynamic vibration information is within the natural frequency range, and determining the resonance superposition of the dynamic information and the line natural vibration; Based on the frequency proximity information and in combination with the resonance superposition situation, the resonance risk of each section of the line is evaluated, and real-time line resonance risk information is output.

10. An analysis system for preventing high voltage electricity from falling, characterized in that: include: A wind turbine analysis module is used to obtain information about the environment in which the wind turbine is located and information about the inherent characteristics of the wind turbine, analyze the information about the environment in which the wind turbine is located based on the inherent characteristics of the wind turbine, and determine information about fluctuations in the power generation state of the wind turbine; a line analysis module for acquiring high-voltage power transmission line information, analyzing the dynamic fluctuations of the power transmission line caused by the wind turbine power generation state fluctuation information based on the high-voltage power transmission line information, and determining the line dynamic vibration information; The resonance analysis module is used to obtain the vibration natural frequency characteristics of the line background information, compare and analyze the line dynamic vibration information with the vibration natural frequency characteristics, evaluate the line resonance risk caused by dynamic vibration, and output real-time line resonance risk information.

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