A wind farm regional monitoring and early warning method and system based on multi-source information fusion

Abstract

The present invention relates to the field of offshore wind power management, and specifically to a wind farm area monitoring and early warning method and system based on multi-source information fusion, comprising: a submarine cable monitoring module and a power plant monitoring module, wherein the submarine cable monitoring module is used to monitor the state of the submarine cable, delineate the submarine cable protection zone, evaluate the operation risk of the submarine cable, monitor all ship signals passing through the submarine cable protection zone, and establish a diagnosis standard for the overall insulation performance of the submarine cable based on the temperature rise of the optical fiber, and the power plant monitoring module is used to monitor and adjust the power generation state of the wind turbine. The present invention can monitor the thermodynamics and structural dynamics data of the wind power submarine cable, extract the optical fiber characteristic information under the typical fault type and the degree of fault development, and at the same time ensure the safety performance of the generator, optimize the utilization efficiency of wind energy, ensure that the power transmission of the wind farm is not affected by external factors, prevent the damage of the submarine cable by ships and temperature, and complete the long-distance monitoring and identification of the submarine cable monitoring target.

Description

Technical Field

[0001] The present invention relates to the field of wind power management, and in particular to a wind farm area monitoring and early warning method and system based on multi-source information fusion. Background Art

[0002] An offshore wind farm is a wind farm built on the ocean, which uses offshore wind energy to generate electricity. An offshore wind farm usually includes a series of wind turbines installed on brackets or platforms in the ocean, which generate electricity through rotating wind turbines and transmit the electricity to the grid through submarine cables.

[0003] In recent years, with the development of offshore wind power resources and the rapid development of offshore platform power systems, offshore wind power generation has become increasingly important. However, due to the instability of actual wind conditions at sea, the speed of the generator cannot be kept constant, and excessively high speed may even damage the generator.

[0004] In addition, as a key equipment for offshore power transmission, high-voltage submarine cables are extremely susceptible to force majeure factors such as typhoons, heavy rainfall, ocean currents, etc. during operation, which may cause damage to the submarine cables. Therefore, submarine cables have high requirements for the stability of electric power. The current generated by the blades cannot be directly input into the submarine cables. It needs to undergo complex cable status monitoring and evaluation, and then part of the electric energy is stored in the battery, and the energy utilization efficiency is low.

[0005] Existing reactive power regulation technology can generate relatively stable power output by integrating the current of each generator and connecting it to the grid by switching between primary and secondary power sources. This relies on a detailed analysis of regional wind farms. However, offshore wind farms lack fixed equipment available for use and cannot perform wind farm analysis well. Summary of the invention

[0006] The object of the present invention is to provide a wind farm area monitoring and early warning method and system based on multi-source information fusion to solve the problems raised in the above background technology.

[0007] In order to solve the above technical problems, the present invention provides the following technical solutions: a wind farm area monitoring and early warning system based on multi-source information fusion, comprising: a field strength analysis module, an information acquisition module, a disturbance simulation module, a motor adjustment module, a power grid connection module and a cable monitoring module;

[0008] The field strength analysis module is used to obtain the real-time power generation of each generator through the electric energy metering device connected to the wind turbine, adjust the direction of the blade according to the preset rules, calculate the wind strength of the blade according to the power generation parameters before and after the generator is adjusted, and finally obtain the wind strength of all wind turbines in the field area, identify the position, wind strength and direction of each wind turbine in the coordinate space, perform field strength fitting for the identified points, and establish a wind model for the field area;

[0009] The information acquisition module is used to set a communication device in the wind turbine, and the communication device uploads the real-time power generation, blade direction and generator orientation of the wind turbine to the central control computer, and establishes a communication link with the meteorological part in the central control computer to obtain the wind observation data of all meteorological observation points within a preset range outside the wind farm, and mark the wind observation data in the electronic map in the form of vectors;

[0010] The disturbance simulation module is used to calculate the time when the wind power at the meteorological observation point is transferred to the power plant area, select the observation data vector at the corresponding time as the disturbance input field wind model, obtain the wind field disturbance model, and record the wind power size, direction and wind intensity of each generator in the wind disturbance model;

[0011] The motor adjustment module is used to calculate the maximum power generation of each generator in the wind farm under the action of wind disturbance, and repeat the calculation after uniformly adjusting the direction of the generator until the total power generation of all wind turbines reaches the maximum value, and adjust the direction and blade angle of each generator in the wind farm according to the direction corresponding to the maximum value;

[0012] The power grid connection module is used to calculate the expected power generation of each generator, and calculate the probability distribution of the total power generation of the wind farm based on the historical wind observation data, select the maximum power that meets the preset confidence probability in the probability distribution, and input it into the grid as the grid-connected power for power generation, and the remaining power is used as the storage power, which is converted into DC by the rectifier and stored in the battery;

[0013] The cable monitoring module is used to establish a submarine cable channel monitoring area, set an alarm monitoring area for each submarine cable that needs to be protected, determine the scope of the submarine cable protection area through the latitude and longitude coordinate sequence and protection distance of the submarine cable, and obtain submarine cable status information based on the latitude and longitude coordinates of the alarm monitoring area in conjunction with the radar subsystem, the AIS subsystem and the video analysis subsystem, compare all AIS signals near the power plant, and compare the heading, speed and historical track of the AIS signal for consistency. For the only AIS signal that has been successfully compared, the radar data and the AIS signal are fused, and the fused target is scanned by integrated visible light, infrared equipment, high-precision pan / tilt and radar to complete the long-distance monitoring and identification of the submarine cable monitoring target.

[0014] Furthermore, the field strength analysis module includes: a power monitoring unit, a wind strength unit and a field strength simulation unit;

[0015] The power monitoring unit is used to obtain the real-time power generation of each wind turbine in the power plant and upload it to the central control computer;

[0016] The wind intensity unit is used to adjust the blade angle of the wind turbine and calculate the wind intensity of the blade according to the change of the power generation before and after;

[0017] The field intensity simulation unit is used to fit the regional wind field and output the wind force model of the field area by taking the wind intensity at the location of each wind turbine as a reference point.

[0018] Further, the information acquisition module includes: a meteorological communication unit and a geographical identification unit;

[0019] The meteorological communication unit is used to provide a data exchange channel between the central control computer and the meteorological observation point, and obtain wind observation data of each meteorological observation point, wherein the wind observation data includes: wind speed and wind direction;

[0020] The geographic identification unit is used to identify wind observation data in vector form on an electronic map, with the wind speed being the vector modulus and the wind direction being the vector direction.

[0021] Further, the disturbance simulation module includes: a disturbance measurement unit and a wind field fixed point unit;

[0022] The disturbance measurement unit is used to calculate the wind transfer time according to the position of the meteorological observation point and the wind speed, and use the wind observation data before the corresponding time as the disturbance to the current model for simulation;

[0023] The wind field fixed-point unit is used to obtain a wind field disturbance model and predicted power generation of each generator according to the wind disturbance simulation result.

[0024] Further, the motor adjustment module includes: a direction adjustment unit and a fan blade adjustment unit;

[0025] The orientation adjustment unit is used to adjust the uniform orientation of each wind turbine in the power plant so as to maximize the power generation in that orientation;

[0026] The blade adjustment unit is used to adjust the blade angle of the wind turbine generator to control the rotation speed of the generator blade within a preset range.

[0027] Furthermore, the power grid-connected module includes: a wind stabilization unit, a grid-connected power supply unit and a rectifying and storing power unit;

[0028] The wind stabilization unit is used to fit the probability distribution function of the actual power generation according to the historical difference between the wind observation data and the actual wind power;

[0029] The grid-connected power supply unit is used to divert the grid-connected power from the total power generation of the wind farm and directly supply power to the power grid, so that the probability that the actual power generation is lower than the grid-connected power is less than a preset value;

[0030] The rectifying and storing unit is used to store the power generation probability other than the grid connection probability into the storage battery after rectification and combination, and to input the electric energy into the grid with a stable probability through the storage battery.

[0031] Further, the cable monitoring module includes: a temperature monitoring unit and a vibration monitoring unit;

[0032] The temperature monitoring unit is used to monitor the thermodynamic and structural dynamics data of the wind power submarine cable, extract the optical fiber characteristic information under typical fault types and fault development degrees, establish the connection between the submarine cable operation status and the temperature and strain information of the composite optical fiber, and establish the overall insulation performance diagnosis standard of the submarine cable based on the optical fiber temperature rise;

[0033] The vibration monitoring unit is used to monitor the vibration level of the submarine cable by adopting multi-attribute comprehensive evaluation weights and MCMC sampling and evaluation methods, and at the same time compare all AIS signals near the power plant to perform long-distance monitoring and identification of submarine cable monitoring targets.

[0034] A wind farm area monitoring and early warning method based on multi-source information fusion includes the following steps:

[0035] Step S0. Establish a submarine cable channel monitoring area, set an alarm monitoring area for each submarine cable that needs to be protected, determine the scope of the submarine cable protection area by the preset protection distance, monitor all AIS signals passing through the submarine cable protection area, and adopt multi-attribute comprehensive evaluation weights and MCMC sampling methods to monitor the operation risk of the submarine cable;

[0036] Step S1. Obtain the real-time power generation of each generator, adjust the blade angle according to the preset rules, and calculate the wind intensity of the blade according to the power generation parameters before and after the generator adjustment;

[0037] Step S2. The central control computer marks the position and wind intensity of each wind turbine in the coordinate space, performs field strength fitting for the marked points, and establishes a wind model for the field area;

[0038] Step S3. Obtain wind observation data of all meteorological observation points within a preset range outside the wind farm, mark them on the map in vector form, calculate the wind transfer time according to the wind speed, and obtain the current wind disturbance in the field area from the wind observation data before the wind transfer time;

[0039] Step S4. Input the current wind disturbance in the field into the field wind model, simulate the disturbed field wind model according to the flow field simulation method, obtain the wind data at each wind turbine, adjust the wind farm to a unified direction so that the total power generation in the direction is maximized, and adjust the generator blade angle so that the blade speed is lower than the preset threshold;

[0040] Step S5. Calculate the probability distribution of the power generation deviation based on the historical difference between the observed wind data and the actual wind power, divert the grid-connected power from the total power generation to directly supply power to the grid, so that the probability that the actual power generation is lower than the grid-connected power is less than a preset value, and the remaining power is stored in the battery.

[0041] Further, step S0 includes:

[0042] Step S01. Establish a submarine cable protection zone within a preset protection distance centered on the submarine cable, obtain and compare all AIS signals near the power plant, compare the heading, speed and historical track of the AIS signal for consistency, fuse the radar data with the AIS signal for the only AIS signal that has been successfully matched, and perform integrated visible light, infrared equipment, high-precision gimbal and radar scanning on the fused target;

[0043] Step S02. Adopting multi-attribute comprehensive evaluation weights and MCMC sampling and evaluation methods, based on inspection items, the operation risk of the submarine cable is judged according to preset calculation rules. The inspection items include: ship density, ship anchor chain risk, submarine cable temperature and submarine cable vibration.

[0044] This step can ensure that the power transmission of the wind farm is not affected by external factors and prevent damage to the submarine cables by ships and temperature.

[0045] Further, step S1 includes:

[0046] Step S11. Obtain the real-time power generation of each generator through the power metering device connected to the wind turbine, and obtain the blade angle of each generator through sensors or adjustment records;

[0047] Step S12. adjusting the blade angle of each generator according to a preset rule, wherein the preset rule includes clockwise rotation of an angle θ and counterclockwise rotation of an angle θ, where θ is a preset value;

[0048] Step S13. Calculate the wind intensity of the blades according to the power generation parameters before and after the generator is adjusted. The power generation parameters include: power generation power, generator orientation, blade angle, blade width, blade area and rotor conversion efficiency. The wind intensity equation is listed as follows:

[0049] ;

[0050] Among them, P represents the power generated by the generator, r represents the rotor conversion efficiency of the generator, a represents the angle between the wind intensity and the generator direction, b represents the angle of the generator blade, c represents the blade width, and S represents the blade area. represents the wind intensity vector, represents the wind intensity vector;

[0051] Substitute the power generation parameters before and after the generator is adjusted into the wind intensity equation, solve the modulus and angle of the wind intensity, and obtain the wind intensity vector .

[0052] Further, step S2 includes:

[0053] Step S21. A communication device is provided in the wind turbine to upload the real-time power generation, blade direction and generator orientation of the wind turbine to the central control computer, a coordinate space is established in the central control computer for the wind farm area, and the wind intensity vectors of all the generators are marked in the coordinate space;

[0054] Step S22. Using CFD software to fit the global velocity field of the field for the point vector at the generator, the CFD software includes: ANSYS Fluent, COMSOL Multiphysics, OpenFOAM and Optimus, and outputs the fitted field wind model in the form of images or parametric equations.

[0055] Further, step S3 includes:

[0056] Step S31. The central control computer sends an application to the meteorological department to obtain wind observation data of all meteorological observation points within a preset radius with the wind farm as the center. The wind observation data includes: wind speed and wind direction. A wind vector is generated with the wind speed as the vector modulus and the wind direction as the vector direction.

[0057] Step S32. According to the distance between the meteorological observation point and the wind farm and the wind direction, the time for the wind at the meteorological observation point to reach the wind farm is calculated as the wind transfer time, and all wind vectors arriving at the wind farm are obtained at the same time to form a wind disturbance set {E1, E2, …, Ei, …, En}, where n is the number of wind vectors, and Ei represents the i-th wind vector arriving at the wind farm.

[0058] Further, step S4 includes:

[0059] Step S41. Input the vectors in the wind disturbance set into the wind model of the field area, simulate the wind force of the power plant area after the disturbance, and obtain a disturbance model, the differential function of which satisfies:

[0060] ;

[0061] Among them, u(t,x1,x2,…,xm) is the differential function of the disturbance model, t represents time, m represents the model dimension, and xm represents the wind component in the mth dimension. represents the differential function of the wind model of the site, xi represents the mapping of the disturbance vector Ei in the wind model of the site, I represents the disturbance function, I is determined according to the selected fitting model, and e is the base of the natural logarithm;

[0062] Step S42. Obtain the wind speed, wind direction and current wind intensity at each wind turbine in the disturbance model, simulate the orientation of the wind farm, calculate the total power generation in each orientation, and use the orientation with the highest total power generation as the unified orientation of the power farm in the next power generation cycle;

[0063] Step S43. Based on the relationship between the generated power and the rotation speed of the generator blades, monitor whether there are generators in the wind farm whose rotation speed is higher than the threshold. If there are such generators, adjust the blade angle of the generator to reduce the wind intensity of the blades in the wind model of the site.

[0064] Further, step S5 includes:

[0065] Step S51. After the power generation cycle starts, the actual power generation in the wind farm is monitored and compared with the simulated power obtained in the disturbance model. According to the deviation between the actual power generation and the simulated power in each historical cycle, the probability distribution function F(z) of the deviation is obtained, where z represents the deviation;

[0066] Step S52. Calculate the maximum value z0 of z under the condition of F(z)≤f0, where f0 is a preset probability threshold, divert P1 power from the total generated power P0 as grid-connected power and send it to the grid, where P1=P0-Z0, and the remaining power is stored in the battery.

[0067] Compared with the prior art, the present invention has the following beneficial effects:

[0068] The present invention can obtain the output power of each wind turbine, calculate the wind intensity of the blade according to the position of the generator and the power generation parameters, and perform field strength analysis on the wind intensity of all wind turbines in the field area, thereby obtaining a field wind model, which can evaluate and predict the wind resources in the wind farm area and improve the power generation efficiency of the unit. The present invention can identify the wind observation results of the meteorological observation point outside the wind farm, input the observation results as disturbances into the field wind model, calculate the unified orientation of the wind turbine, maximize the total wind intensity in the orientation direction, and adjust the generator blade angle to stabilize the generator speed within a preset range, maximize the power generation efficiency, prevent the fan blade speed from being too high, ensure the safety performance of the generator, and improve the overall design efficiency and production capacity of the wind farm. The present invention can select a fixed size of power as the grid-connected power by calculating the probability distribution of the power generation, input the power grid to generate power after being modulated by the transformer, and store the remaining power in the battery as the storage power, effectively reducing the power system scheduling pressure caused by wind power fluctuations, improving the power supply stability, and optimizing the wind energy utilization efficiency. BRIEF DESCRIPTION OF THE DRAWINGS

[0069] The accompanying drawings are used to provide a further understanding of the present invention and constitute a part of the specification. Together with the embodiments of the present invention, they are used to explain the present invention and do not constitute a limitation of the present invention. In the accompanying drawings:

[0070] Figure 1 It is a structural schematic diagram of a wind farm area monitoring and early warning system based on multi-source information fusion of the present invention;

[0071] Figure 2 It is a schematic diagram of the steps of a wind farm area monitoring and early warning method based on multi-source information fusion of the present invention. DETAILED DESCRIPTION

[0072] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0073] See also Figure 1 ,The present invention provides a technical solution: a wind farm area monitoring and early warning system based on multi-source information fusion, including: a field strength analysis module, an information acquisition module, a disturbance simulation module, a motor adjustment module and a power grid connection module;

[0074] The field strength analysis module is used to obtain the real-time power generation of each generator through the electric energy metering device connected to the wind turbine, adjust the direction of the blade according to the preset rules, calculate the wind strength of the blade according to the power generation parameters before and after the generator is adjusted, and finally obtain the wind strength of all wind turbines in the field area, identify the position, wind strength and direction of each wind turbine in the coordinate space, perform field strength fitting for the identified points, and establish a wind model for the field area;

[0075] The field strength analysis module includes: a power monitoring unit, a wind strength unit and a field strength simulation unit;

[0076] The power monitoring unit is used to obtain the real-time power generation of each wind turbine in the power plant and upload it to the central control computer;

[0077] The wind intensity unit is used to adjust the blade angle of the wind turbine and calculate the wind intensity of the blade according to the change of the power generation before and after;

[0078] The field intensity simulation unit is used to fit the regional wind field and output the wind force model of the field area by taking the wind intensity at the location of each wind turbine as a reference point.

[0079] The information acquisition module is used to set a communication device in the wind turbine, and the communication device uploads the real-time power generation, blade direction and generator orientation of the wind turbine to the central control computer, and establishes a communication link with the meteorological part in the central control computer to obtain the wind observation data of all meteorological observation points within a preset range outside the wind farm, and mark the wind observation data in the electronic map in the form of vectors;

[0080] The information acquisition module includes: a meteorological communication unit and a geographical identification unit;

[0081] The meteorological communication unit is used to provide a data exchange channel between the central control computer and the meteorological observation point, and obtain wind observation data of each meteorological observation point, wherein the wind observation data includes: wind speed and wind direction;

[0082] The geographic identification unit is used to identify wind observation data in vector form on an electronic map, with the wind speed being the vector modulus and the wind direction being the vector direction.

[0083] The disturbance simulation module is used to calculate the time when the wind power at the meteorological observation point is transferred to the power plant area, select the observation data vector at the corresponding time as the disturbance input field wind model, obtain the wind field disturbance model, and record the wind power size, direction and wind intensity of each generator in the wind disturbance model;

[0084] The disturbance simulation module includes: a disturbance measurement unit and a wind field fixed point unit;

[0085] The disturbance measurement unit is used to calculate the wind transfer time according to the position of the meteorological observation point and the wind speed, and use the wind observation data before the corresponding time as the disturbance to the current model for simulation;

[0086] The wind field fixed-point unit is used to obtain a wind field disturbance model and predicted power generation of each generator according to the wind disturbance simulation result.

[0087] The motor adjustment module is used to calculate the maximum power generation of each generator in the wind farm under the action of wind disturbance, and repeat the calculation after uniformly adjusting the direction of the generator until the total power generation of all wind turbines reaches the maximum value, and adjust the direction and blade angle of each generator in the wind farm according to the direction corresponding to the maximum value;

[0088] The motor adjustment module includes: a direction adjustment unit and a fan blade adjustment unit;

[0089] The orientation adjustment unit is used to adjust the uniform orientation of each wind turbine in the power plant so as to maximize the power generation in that orientation;

[0090] The blade adjustment unit is used to adjust the blade angle of the wind turbine generator to control the rotation speed of the generator blade within a preset range.

[0091] The power grid connection module is used to calculate the expected power generation of each generator, and calculate the probability distribution of the total power generation of the wind farm based on historical wind observation data, select the maximum power that meets the preset confidence probability in the probability distribution, and input it into the grid as the grid-connected power for power generation, and the remaining power is used as the storage power, which is converted into DC by the rectifier and stored in the battery.

[0092] The power grid-connected module comprises: a wind stabilization unit, a grid-connected power supply unit and a rectification and storage unit;

[0093] The wind stabilization unit is used to fit the probability distribution function of the actual power generation according to the historical difference between the wind observation data and the actual wind power;

[0094] The grid-connected power supply unit is used to divert the grid-connected power from the total power generation of the wind farm and directly supply power to the power grid, so that the probability that the actual power generation is lower than the grid-connected power is less than a preset value;

[0095] The rectifying and storing unit is used to store the power generation probability other than the grid connection probability into the storage battery after rectification and combination, and to input the electric energy into the grid with a stable probability through the storage battery.

[0096] like Figure 2 As shown, a wind farm area monitoring and early warning method based on multi-source information fusion includes the following steps:

[0097] Step S1. Obtain the real-time power generation of each generator, adjust the blade angle according to the preset rules, and calculate the wind intensity of the blade according to the power generation parameters before and after the generator adjustment;

[0098] Step S1 includes:

[0099] Step S11. Obtain the real-time power generation of each generator through the power metering device connected to the wind turbine, and obtain the blade angle of each generator through sensors or adjustment records;

[0100] Step S12. adjusting the blade angle of each generator according to a preset rule, wherein the preset rule includes clockwise rotation of an angle θ and counterclockwise rotation of an angle θ, where θ is a preset value;

[0101] Step S13. Calculate the wind intensity of the blades according to the power generation parameters before and after the generator is adjusted. The power generation parameters include: power generation power, generator orientation, blade angle, blade width, blade area and rotor conversion efficiency. The wind intensity equation is listed as follows:

[0102] ;

[0103] Among them, P represents the power generated by the generator, r represents the rotor conversion efficiency of the generator, a represents the angle between the wind intensity and the generator direction, b represents the angle of the generator blade, c represents the blade width, and S represents the blade area. represents the wind intensity vector, represents the wind intensity vector;

[0104] Substitute the power generation parameters before and after the generator is adjusted into the wind intensity equation, solve the modulus and angle of the wind intensity, and obtain the wind intensity vector .

[0105] Step S2. The central control computer marks the position and wind intensity of each wind turbine in the coordinate space, performs field strength fitting for the marked points, and establishes a wind model for the field area;

[0106] Step S2 includes:

[0107] Step S21. A communication device is provided in the wind turbine to upload the real-time power generation, blade direction and generator orientation of the wind turbine to the central control computer, a coordinate space is established in the central control computer for the wind farm area, and the wind intensity vectors of all the generators are marked in the coordinate space;

[0108] Step S22. Using CFD software to fit the global velocity field of the field for the point vector at the generator, the CFD software includes: ANSYS Fluent, COMSOL Multiphysics, OpenFOAM and Optimus, and outputs the fitted field wind model in the form of images or parametric equations.

[0109] Step S3. Obtain wind observation data of all meteorological observation points within a preset range outside the wind farm, mark them on the map in vector form, calculate the wind transfer time according to the wind speed, and obtain the current wind disturbance in the field area from the wind observation data before the wind transfer time;

[0110] Step S3 includes:

[0111] Step S31. The central control computer sends an application to the meteorological department to obtain wind observation data of all meteorological observation points within a preset radius with the wind farm as the center. The wind observation data includes: wind speed and wind direction. A wind vector is generated with the wind speed as the vector modulus and the wind direction as the vector direction.

[0112] Step S32. According to the distance between the meteorological observation point and the wind farm and the wind direction, the time for the wind at the meteorological observation point to reach the wind farm is calculated as the wind transfer time, and all wind vectors arriving at the wind farm are obtained at the same time to form a wind disturbance set {E1, E2, …, Ei, …, En}, where n is the number of wind vectors, and Ei represents the i-th wind vector arriving at the wind farm.

[0113] Step S4. Input the current wind disturbance in the field into the field wind model, simulate the disturbed field wind model according to the flow field simulation method, obtain the wind data at each wind turbine, adjust the wind farm to a unified direction so that the total power generation in the direction is maximized, and adjust the generator blade angle so that the blade speed is lower than the preset threshold;

[0114] Step S4 includes:

[0115] Step S41. Input the vectors in the wind disturbance set into the wind model of the field area, simulate the wind force of the power plant area after the disturbance, and obtain a disturbance model, the differential function of which satisfies:

[0116] ;

[0117] Among them, u(t,x1,x2,…,xm) is the differential function of the disturbance model, t represents time, m represents the model dimension, and xm represents the wind component in the mth dimension. represents the differential function of the wind model of the site, xi represents the mapping of the disturbance vector Ei in the wind model of the site, I represents the disturbance function, I is determined according to the selected fitting model, and e is the base of the natural logarithm;

[0118] Step S42. Obtain the wind speed, wind direction and current wind intensity at each wind turbine in the disturbance model, simulate the orientation of the wind farm, calculate the total power generation in each orientation, and use the orientation with the highest total power generation as the unified orientation of the power farm in the next power generation cycle;

[0119] Step S43. Based on the relationship between the generated power and the rotation speed of the generator blades, monitor whether there are generators in the wind farm whose rotation speed is higher than the threshold. If there are such generators, adjust the blade angle of the generator to reduce the wind intensity of the blades in the wind model of the site.

[0120] Step S5. Calculate the probability distribution of the power generation deviation based on the historical difference between the observed wind data and the actual wind power, divert the grid-connected power from the total power generation to directly supply power to the grid, so that the probability that the actual power generation is lower than the grid-connected power is less than a preset value, and the remaining power is stored in the battery.

[0121] Step S5 includes:

[0122] Step S51. After the power generation cycle starts, the actual power generation in the wind farm is monitored and compared with the simulated power obtained in the disturbance model. According to the deviation between the actual power generation and the simulated power in each historical cycle, the probability distribution function F(z) of the deviation is obtained, where z represents the deviation;

[0123] Step S52. Calculate the maximum value z0 of z under the condition of F(z)≤f0, where f0 is a preset probability threshold, divert P1 power from the total generated power P0 as grid-connected power and send it to the grid, where P1=P0-Z0, and the remaining power is stored in the battery.

[0124] Example: There are 10 wind turbines in the wind farm. At a certain moment, the power generation of generator No. 1 is 100KW, and the rotor conversion efficiency is 100W / m 2 ·s, adjust the blade angle backward by 30°, and the real-time power generation becomes 80KW, then the wind intensity of the generator blade is 10m 2 ·s, the wind direction and the generator orientation are at an angle of 11.4°. The wind force model of the power plant is obtained using wind field fitting software. A wind force with a speed of 10m / s is observed at a meteorological observation point 1000m away from the power plant, and its direction is consistent with the generator orientation. A disturbance vector is generated, and the wind force in the field after 100s is predicted to obtain the interference model, from which the power generation of each generator is predicted.

[0125] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device.

[0126] Finally, it should be noted that the above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Although the present invention has been described in detail with reference to the aforementioned embodiments, those skilled in the art can still modify the technical solutions described in the aforementioned embodiments or replace some of the technical features therein by equivalents. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present invention shall be included in the protection scope of the present invention.

Claims

1. A wind farm regional monitoring and early warning method based on multi-source information fusion, characterized in that: The method comprises the following steps: Step S0. Establish a submarine cable channel monitoring area, set an alarm monitoring area for each submarine cable that needs to be protected, determine the scope of the submarine cable protection area by the preset protection distance, monitor all AIS signals passing through the submarine cable protection area, and adopt multi-attribute comprehensive evaluation weights and MCMC sampling methods to monitor the operation risk of the submarine cable; Step S1. Obtain the real-time power generation of each generator, adjust the blade angle according to the preset rules, and calculate the wind intensity of the blade according to the power generation parameters before and after the generator adjustment; Step S2. The central control computer marks the position and wind intensity of each wind turbine in the coordinate space, performs field strength fitting for the marked points, and establishes a wind model for the field area; Step S3. Obtain wind observation data of all meteorological observation points within a preset range outside the wind farm, mark them on the map in vector form, calculate the wind transfer time according to the wind speed, and obtain the current wind disturbance in the field area from the wind observation data before the wind transfer time; Step S4. Input the current wind disturbance in the field into the field wind model, simulate the disturbed field wind model according to the flow field simulation method, obtain the wind data at each wind turbine, adjust the wind farm to a unified direction so that the total power generation in the direction is maximized, and adjust the generator blade angle so that the blade speed is lower than the preset threshold; Step S5. Calculate the probability distribution of the power generation deviation based on the historical difference between the observed wind data and the actual wind power, divert the grid-connected power from the total power generation to directly supply power to the grid, so that the probability that the actual power generation is lower than the grid-connected power is less than a preset value, and the remaining power is stored in the battery.

2. A wind farm regional monitoring and early warning method based on multi-source information fusion according to claim 1, characterized in that: Step S0 includes: Step S01. Establish a submarine cable protection zone within a preset protection distance centered on the submarine cable, obtain and compare all AIS signals near the power plant, compare the heading, speed and historical track of the AIS signal for consistency, fuse the radar data with the AIS signal for the only AIS signal that has been successfully matched, and perform integrated visible light, infrared equipment, high-precision gimbal and radar scanning on the fused target; Step S02. Using multi-attribute comprehensive evaluation weights and MCMC sampling and evaluation methods, based on the inspection items, the operation risk of the submarine cable is judged according to the preset calculation rules. The inspection items include: ship density, ship anchor chain risk, submarine cable temperature and submarine cable vibration; Step S1 includes: Step S11. Obtain the real-time power generation of each generator through the power metering device connected to the wind turbine, and obtain the blade angle of each generator through sensors or adjustment records; Step S12. adjusting the blade angle of each generator according to a preset rule, wherein the preset rule includes clockwise rotation of an angle θ and counterclockwise rotation of an angle θ, where θ is a preset value; Step S13. Calculate the wind intensity of the blades according to the power generation parameters before and after the generator is adjusted. The power generation parameters include: power generation power, generator orientation, blade angle, blade width, blade area and rotor conversion efficiency. The wind intensity equation is listed as follows: ； Among them, P represents the power generated by the generator, r represents the rotor conversion efficiency of the generator, a represents the angle between the wind intensity and the generator direction, b represents the angle of the generator blade, c represents the blade width, and S represents the blade area. represents the wind intensity vector, represents the wind intensity vector; Substitute the power generation parameters before and after the generator is adjusted into the wind intensity equation, solve the modulus and angle of the wind intensity, and obtain the wind intensity vector .

3. A wind farm regional monitoring and early warning method based on multi-source information fusion according to claim 2, characterized in that: Step S2 includes: Step S21. A communication device is provided in the wind turbine to upload the real-time power generation, blade direction and generator orientation of the wind turbine to the central control computer, a coordinate space is established in the central control computer for the wind farm area, and the wind intensity vectors of all the generators are marked in the coordinate space; Step S22. Using CFD software to fit the global velocity field of the field for the point vector at the generator, the CFD software includes: ANSYS Fluent, COMSOL Multiphysics, OpenFOAM and Optimus, and outputting the fitted field wind model in the form of images or parametric equations; Step S3 includes: Step S31. The central control computer sends an application to the meteorological part to obtain wind observation data of all meteorological observation points within a preset radius with the wind farm as the center, wherein the wind observation data includes wind speed and wind direction, and a wind vector is generated with the wind speed as the vector modulus and the wind direction as the vector direction; Step S32. According to the distance between the meteorological observation point and the wind farm and the wind direction, the time for the wind at the meteorological observation point to reach the wind farm is calculated as the wind transfer time, and all wind vectors arriving at the wind farm are obtained at the same time to form a wind disturbance set {E1, E2, …, Ei, …, En}, where n is the number of wind vectors, and Ei represents the i-th wind vector arriving at the wind farm.

4. A wind farm regional monitoring and early warning method based on multi-source information fusion according to claim 3, characterized in that: Step S4 includes: Step S41. Input the vectors in the wind disturbance set into the wind model of the field area, simulate the wind force of the power plant area after the disturbance, and obtain a disturbance model, the differential function of which satisfies: ； Among them, u(t,x1,x2,…,xm) is the differential function of the disturbance model, t represents time, m represents the model dimension, and xm represents the wind component in the mth dimension. represents the differential function of the wind model of the site, xi represents the mapping of the disturbance vector Ei in the wind model of the site, I represents the disturbance function, I is determined according to the selected fitting model, and e is the base of the natural logarithm; Step S42. Obtain the wind speed, wind direction and current wind intensity at each wind turbine in the disturbance model, simulate the orientation of the wind farm, calculate the total power generation in each orientation, and use the orientation with the highest total power generation as the unified orientation of the power farm in the next power generation cycle; Step S43. Based on the relationship between the generated power and the rotation speed of the generator blades, monitor whether there are generators in the wind farm whose rotation speed is higher than the threshold. If there are such generators, adjust the blade angle of the generator to reduce the wind intensity of the blades in the wind model of the site.

5. A wind farm regional monitoring and early warning method based on multi-source information fusion according to claim 4, characterized in that: Step S5 includes: Step S51. After the power generation cycle starts, the actual power generation in the wind farm is monitored and compared with the simulated power obtained in the disturbance model. According to the deviation between the actual power generation and the simulated power in each historical cycle, the probability distribution function F(z) of the deviation is obtained, where z represents the deviation; Step S52. Calculate the maximum value z0 of z under the condition of F(z)≤f0, where f0 is a preset probability threshold, divert P1 power from the total generated power P0 as grid-connected power and send it to the grid, where P1=P0-Z0, and the remaining power is stored in the battery.

6. A wind farm regional monitoring and early warning system based on multi-source information fusion, characterized in that: The system includes the following modules: field strength analysis module, information acquisition module, disturbance simulation module, motor adjustment module, power grid connection module and cable monitoring module; The field strength analysis module is used to obtain the real-time power generation of each generator through the electric energy metering device connected to the wind turbine, adjust the direction of the blade according to the preset rules, calculate the wind strength of the blade according to the power generation parameters before and after the generator is adjusted, and finally obtain the wind strength of all wind turbines in the field area, identify the position, wind strength and direction of each wind turbine in the coordinate space, perform field strength fitting for the identified points, and establish a wind model for the field area; The information acquisition module is used to set a communication device in the wind turbine, and the communication device uploads the real-time power generation, blade direction and generator orientation of the wind turbine to the central control computer, and establishes a communication link with the meteorological part in the central control computer to obtain the wind observation data of all meteorological observation points within a preset range outside the wind farm, and mark the wind observation data in the electronic map in the form of vectors; The disturbance simulation module is used to calculate the time when the wind power at the meteorological observation point is transferred to the power plant area, select the observation data vector at the corresponding time as the disturbance input field wind model, obtain the wind field disturbance model, and record the wind power size, direction and wind intensity of each generator in the wind disturbance model; The motor adjustment module is used to calculate the maximum power generation of each generator in the wind farm under the action of wind disturbance, and repeat the calculation after uniformly adjusting the direction of the generator until the total power generation of all wind turbines reaches the maximum value, and adjust the direction and blade angle of each generator in the wind farm according to the direction corresponding to the maximum value; The power grid connection module is used to calculate the expected power generation of each generator, and calculate the probability distribution of the total power generation of the wind farm based on the historical wind observation data, select the maximum power that meets the preset confidence probability in the probability distribution, and input it into the grid as the grid-connected power for power generation, and the remaining power is used as the storage power, which is converted into DC by the rectifier and stored in the battery; The cable monitoring module is used to establish a submarine cable channel monitoring area, set an alarm monitoring area for each submarine cable that needs to be protected, determine the scope of the submarine cable protection area through the latitude and longitude coordinate sequence and protection distance of the submarine cable, and obtain submarine cable status information based on the latitude and longitude coordinates of the alarm monitoring area in conjunction with the radar subsystem, the AIS subsystem and the video analysis subsystem, compare all AIS signals near the power plant, and compare the heading, speed and historical track of the AIS signal for consistency. For the only AIS signal that has been successfully compared, the radar data and the AIS signal are fused, and the fused target is scanned by integrated visible light, infrared equipment, high-precision pan / tilt and radar to complete the long-distance monitoring and identification of the submarine cable monitoring target.

7. A wind farm area monitoring and early warning system based on multi-source information fusion according to claim 6, characterized in that: The field strength analysis module includes: a power monitoring unit, a wind strength unit and a field strength simulation unit; The power monitoring unit is used to obtain the real-time power generation of each wind turbine in the power plant and upload it to the central control computer; The wind intensity unit is used to adjust the blade angle of the wind turbine and calculate the wind intensity of the blade according to the change of the power generation before and after; The field intensity simulation unit is used to fit the regional wind field and output the wind force model of the field area by taking the wind intensity at the location of each wind turbine as a reference point.

8. A wind farm area monitoring and early warning system based on multi-source information fusion according to claim 7, characterized in that: The information acquisition module includes: a meteorological communication unit and a geographical identification unit; The meteorological communication unit is used to provide a data exchange channel between the central control computer and the meteorological observation point, and obtain wind observation data of each meteorological observation point, wherein the wind observation data includes: wind speed and wind direction; The geographic identification unit is used to identify wind observation data in vector form on an electronic map, with the wind speed being the vector modulus and the wind direction being the vector direction; The disturbance simulation module includes: a disturbance measurement unit and a wind field fixed point unit; The disturbance measurement unit is used to calculate the wind transfer time according to the position of the meteorological observation point and the wind speed, and use the wind observation data before the corresponding time as the disturbance to the current model for simulation; The wind field fixed-point unit is used to obtain a wind field disturbance model and predicted power generation of each generator according to the wind disturbance simulation result.

9. A wind farm area monitoring and early warning system based on multi-source information fusion according to claim 8, characterized in that: The motor adjustment module includes: a direction adjustment unit and a fan blade adjustment unit; The orientation adjustment unit is used to adjust the uniform orientation of each wind turbine in the power plant so as to maximize the power generation in that orientation; The blade adjustment unit is used to adjust the blade angle of the wind turbine generator to control the rotation speed of the generator blade within a preset range.

10. A wind farm area monitoring and early warning system based on multi-source information fusion according to claim 9, characterized in that: The power grid-connected module comprises: a wind stabilization unit, a grid-connected power supply unit and a rectification and storage unit; The wind stabilization unit is used to fit the probability distribution function of the actual power generation according to the historical difference between the wind observation data and the actual wind power; The grid-connected power supply unit is used to divert the grid-connected power from the total power generation of the wind farm and directly supply power to the power grid, so that the probability that the actual power generation is lower than the grid-connected power is less than a preset value; The rectifying and storing unit is used to store the power generation probability other than the grid connection probability into the storage battery after rectification and combination, and to input the electric energy into the grid with a stable probability through the storage battery; The cable monitoring module includes: a temperature monitoring unit and a vibration monitoring unit; The temperature monitoring unit is used to monitor the thermodynamic and structural dynamics data of the wind power submarine cable, extract the optical fiber characteristic information under typical fault types and fault development degrees, establish the connection between the submarine cable operation status and the temperature and strain information of the composite optical fiber, and establish the overall insulation performance diagnosis standard of the submarine cable based on the optical fiber temperature rise; The vibration monitoring unit is used to monitor the vibration level of the submarine cable by adopting multi-attribute comprehensive evaluation weights and MCMC sampling and evaluation methods, and at the same time compare all AIS signals near the power plant to perform long-distance monitoring and identification of submarine cable monitoring targets.

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