18 results about "Tower shadow" patented technology

The invention discloses a fan height measuring method and device based on a high-resolution satellite image shadow. The method comprises the following steps: extracting a fan shadow by using a shadow extraction model based on a high-resolution satellite image containing a fan; the method comprises the following steps of: segmenting and removing a shadow mask of a fan blade by combining solar azimuth information with a straight line-by-line scanning method, and retaining a shadow mask of a fan tower; and calculating the shadow length of the fan tower according to the shadow mask of the fan tower, and calculating the fan height according to the shadow length of the fan tower. According to the invention, the fan height information can be rapidly obtained in a large range, the fan height can be accurately measured and calculated, and manpower and cost can be saved.

The application provides a self-standing wind measuring tower capable of automatic installation and free from tower shadow effect, relates to the technical field of wind measuring towers, and comprises a base system, a tower system is arranged on the top surface of the base system, the tower system is connected with the base system through a sliding groove system, and a guide system is arranged in the tower system.In the tower system of the application, the tower is arranged in an isosceles triangular structure, the triangular tip is located on the leeward side of the wind direction, so that the windward area of the tower is relatively small under the action of the main wind direction.In addition, as the distance between the triangular tip and the main shaft of the tower increases, the influence of the triangular tip on the overall stability of the tower is also enhanced, and the wind measuring equipment is installed on the main shaft of the tower and deviated to one side of the second turning barrel, so that the wind measuring equipment is not blocked by the main body of the tower of the wind measuring tower, thereby eliminating the tower shadow effect.

This invention belongs to the field of wind power generation technology and discloses a biomimetic tower for a wind turbine and a wind turbine generator. The biomimetic tower for the wind turbine generator includes a tower body and a biomimetic inner rib structure. The diameter of the tower body gradually decreases from bottom to top. The biomimetic inner rib structure is connected to the inner wall of the tower body. The biomimetic inner rib structure includes multiple circumferential inner ribs, multiple axial inner ribs, and double diagonal stiffening ribs. The multiple circumferential inner ribs and multiple axial inner ribs enclose multiple lattice units. The double diagonal stiffening ribs include multiple first stiffening ribs and multiple second stiffening ribs. The multiple first stiffening ribs and multiple second stiffening ribs are arranged at an angle within the lattice units and are connected to the sides of the lattice units. This biomimetic tower for the wind turbine generator has better overall stability, can control the vibration amplitude at the top of the tower, and can improve buckling resistance, fatigue resistance, and vibration reduction performance without changing the outer surface shape and near-field flow boundary, while avoiding adverse effects on tower shadow effect and wake characteristics.

This application discloses an equivalent wind speed modeling method and related apparatus that considers wind shear and tower shadow effects. The method introduces frequency characteristic correction based on the first equivalent wind speed considering wind shear and the second equivalent wind speed considering tower shadow effects, which effectively improves the strong dependence of the equivalent wind speed model on model parameters. Then, the final equivalent improved wind speed is calculated based on the corrected wind speed and the inflow wind speed, which improves the accuracy of the equivalent wind speed model in characterizing the impact of wind shear and tower shadow effects on unit power under non-precise parameter conditions, and helps to promote wind power technology research oriented towards electrical characteristic analysis and control.

The invention discloses a downwind type small wind driven generator turbine which comprises a rotor blade body axially swept back from a blade root to a blade tip, the front edge of the blade is provided with a bionic nodule structure changing in a sine rule, and the rear edge of the blade is provided with a sawtooth-shaped corrugated structure; the blades and the hub are connected to form a wind turbine rotor, the rotor is located on the downwind side of the tower, wind flow firstly passes through the tower and then acts on the rotor blades, the downwind layout enables the blades to be capable of natural feathering under the action of wind loads, therefore, dynamic load impact on the tower is reduced, and the yaw system structure is simplified. The tower shadow effect can be remarkably relieved through the whole sweepback type blades, and aerodynamic noise is reduced; the front edge nodules of the blades are bionic to fin limbs of the seat head whale, so that the lift-drag ratio can be effectively increased, broadband noise is reduced, and violent fluctuation of power and load is inhibited; sawtooth ripples on the rear edge of the blade imitate a comb-shaped structure on the rear edge of the flying feather of the owl, so that vortex shedding frequency concentration can be inhibited, and high-frequency noise can be remarkably reduced.

The invention discloses an equivalent wind speed modeling method considering wind shear and a tower shadow effect and a related device, and the method introduces frequency characteristic correction on the basis of a first equivalent wind speed considering the wind shear and a second equivalent wind speed considering the tower shadow effect, thereby effectively improving the strong dependence of an equivalent wind speed model on model parameters. And calculating a final equivalent improved wind speed according to the corrected wind speed and the inflow wind speed, thereby improving the description precision of the equivalent wind speed model on the unit power influenced by the wind shear and the tower shadow effect under the condition of non-precise parameters, and facilitating the promotion of wind power technology research oriented to electrical characteristic analysis and control.

The invention relates to the technical field of remote sensing image geometric inversion, in particular to a shadow geometric constraint-based fan three-dimensional information reconstruction method, which comprises the following steps of: firstly, acquiring a remote sensing image containing a target fan, identifying a tower drum shadow and a corresponding fan blade shadow of each fan, and extracting a shadow vector; further establishing a fan coordinate system, constructing a conversion relation between the fan coordinate system and a remote sensing image coordinate system, and constructing a shadow geometric constraint model according to a projection relation of a space vector projected to a ground plane along a sunlight direction under the conditions that three fan blades mutually form an angle of 120 degrees and a solar altitude angle is lacked; on the basis, a nonlinear constraint equation set containing the fan tower height, the fan blade radius, the fan azimuth angle and the sun projection direction parameters is established, the fan tower height and the fan blade radius are obtained through optimization solving, and fan three-dimensional information reconstruction is achieved. According to the method, the solar altitude does not need to be known, fan structure parameter inversion can be completed only by depending on a single remote sensing image, and the method has the advantages of being high in calculation precision and high in applicability.

The present application relates to a kind of tower tilt online monitoring method based on remote sensing satellite optical image, comprising: step 1: obtain remote sensing satellite optical image, and carry out segmentation, obtain the image of tower shadow area;Step 2: with morphological method, the image of tower shadow area is enhanced and segmented, adopt a kind of adaptive variable structure element morphological edge detection operator, by Top-Hat transformation and Bottom-Hat transformation, remote sensing satellite optical image is high processing, then again using Canny operator carries out edge detection;Step 3: using Hough straight line detection algorithm extracts the straight line of tower shadow edge in tower shadow image, calculates the midpoint of the coordinates of contour line, obtains the geometric center line of contour.The step 4: establish the geometric relationship model of tower tilt and tower shadow;Step 5: based on step 4, calculate the inclination angle, according to inclination angle, judge tower tilt situation, and output result.

This application belongs to the field of wind power generation technology, and specifically discloses a method for analyzing the mechanical-electrical coupling characteristics of large wind turbine units. The method includes: constructing a nonlinear time-varying model of the wind turbine unit's machine-side system, which includes mechanical and electrical subsystems, based on the wind turbine unit's mechanical parameters, electrical parameters, control parameters, operating data, and periodic aerodynamic loads caused by wind shear and tower shadow effects; performing time-domain simulation on the nonlinear time-varying model to obtain the periodic steady-state trajectory of the machine-side system under set operating conditions; linearizing the nonlinear time-varying model based on the periodic steady-state trajectory to establish a linear periodic time-varying state-space model, and calculating the state transition matrix within one fundamental period; calculating the Floquet characteristic index of the wind turbine unit using Floquet-Lyapunov theory based on the state transition matrix, and determining the small-disturbance stability of the machine-side system based on the real part of the Floquet characteristic index.

The utility model provides a shallow wind measuring device for avoiding a tower shadow effect, and the device comprises a wind measuring tower, a main wind measuring sensor, an auxiliary wind measuring sensor, and a data collector. The main wind measurement sensor is mounted on a first cross arm on the prevailing wind windward side of the wind measurement tower; the auxiliary wind measurement sensor is installed on a second cross arm, opposite to the prevailing wind, of the wind measurement tower. The data collector is connected with the main wind measurement sensor and the auxiliary wind measurement sensor and used for receiving and processing real-time wind direction and wind speed data from the main wind measurement sensor and the auxiliary wind measurement sensor, selecting data of one sensor according to wind direction information to record, selecting the main wind measurement sensor when the wind is blown from the main wind measurement sensor, and selecting the auxiliary wind measurement sensor when the wind is blown from the auxiliary wind measurement sensor. And when the wind is blown from the auxiliary wind measurement sensor, the auxiliary wind measurement sensor is selected. Through the innovative sensor layout and data processing mechanism, the tower shadow effect is automatically avoided, and the accuracy and reliability of wind speed measurement are remarkably improved.

The invention discloses a whole-process dynamic characteristic simulation method and device of a wind turbine generator, a medium and equipment, and the method comprises the steps: constructing each sub-model needed by a whole-process dynamic characteristic simulation model of the wind turbine generator; comprising a wind field effect model, a tower shadow effect model, a fan aerodynamic model, a mechanical model, a circuit model, a variable pitch control system model, an induction generator model and a converter model. The sub-models are integrated to simulate the dynamic response of the wind turbine generator in actual operation, so that the characteristics of the whole process can be accurately simulated and analyzed.

The present application relates to the technical field of remote sensing image geometric inversion, in particular to a fan three-dimensional information reconstruction method based on shadow geometric constraint, which comprises the following steps: first, obtaining remote sensing images containing target fans, identifying the tower shadow and corresponding blade shadow of each fan and extracting shadow vectors; further, establishing a fan coordinate system and constructing the conversion relationship between the fan coordinate system and the remote sensing image coordinate system; under the condition that three blades are mutually 120 degrees and the solar elevation angle is missing, constructing a shadow geometric constraint model according to the projection relationship of spatial vectors along the sunlight direction to the ground plane; on this basis, establishing a nonlinear constraint equation group containing the fan tower height, blade radius, fan azimuth angle and solar projection direction parameters, obtaining the fan tower height and blade radius through optimization solution, and realizing the three-dimensional information reconstruction of the fan. The present application does not need to know the solar elevation angle, and can complete the fan structure parameter inversion only by relying on a single remote sensing image, and has the characteristics of high calculation precision and strong applicability.

The application discloses a three-dimensional entrainment wake modeling method, device and equipment of a wind turbine and a storage medium, and the method comprises the following steps: obtaining a one-dimensional entrainment wake model of a wind turbine, and performing two-dimensional processing on the one-dimensional entrainment wake model to obtain a two-dimensional entrainment wake model; based on the power influencing factors of the wind turbine in surge motion, an inflow induced wind speed model is constructed; based on wind shear inflow and tower shadow effect, and combined with the inflow induced wind speed model, wind speed superposition is performed to establish an inflow model of the wind turbine; the inflow model and the two-dimensional entrainment wake model are coupled to build a corresponding three-dimensional entrainment wake model of the wind turbine. The application solves the technical problem that the existing three-dimensional analytical model of the wind turbine wake lacks consideration of complex marine environmental factors such as offshore wind shear, wave motion and tower shadow effect, and cannot accurately calculate the offshore wind turbine wake field, thereby reducing the reliability of the operation of the offshore wind turbine.

The present invention discloses a pitch angle dynamic compensation method based on multi-radar spatio-temporal synchronization, which relates to the technical field of wind power generation. Aiming at the problem that the traditional single-point wind speed measurement cannot capture the spatio-temporal characteristics of the three-dimensional wind field, resulting in insufficient pitch angle control accuracy, the present invention synchronously constructs a three-dimensional spatio-temporal velocity field of the wind turbine plane through a horizontal-vertical radar array, combines a flow field-structure coupling model to calculate the aerodynamic load distribution of the blade segments in real time, generates a reference pitch command by mapping the dynamic load deviation through a neural network, and performs pre-compensation by integrating the tower shadow interference eigenvector; adopts a quadratic programming algorithm to counteract saturation optimization, so that the pitch rate strictly follows the dynamic constraint curve of the hydraulic system. The present invention effectively solves the problem of aerodynamic load phase delay, reduces the periodic load fluctuation caused by the tower shadow effect, and provides technical guarantee for the stable operation of large-scale wind turbines under complex wind conditions.

The application belongs to the technical field of wind power generation, and specifically discloses a small disturbance modeling method for large wind turbine units considering aerodynamic characteristics, which comprises the following steps: based on mechanical structure parameters, aerodynamic parameters, rated operating data of a wind turbine unit, and periodic aerodynamic loads caused by wind shear and tower shadow effect, a detailed nonlinear time-varying model of a wind turbine unit body structure dynamic system is constructed, wherein the wind turbine unit body structure dynamic system comprises a wind wheel aerodynamic system and a three-mass block transmission shaft system; time domain simulation is performed on the detailed nonlinear time-varying model to obtain a periodic steady-state trajectory of the dynamic system under a set condition; and based on the periodic steady-state trajectory, an LTP model of the dynamic system is constructed. The method can improve the modeling accuracy of the dynamic system of the large wind turbine unit body structure.

This application discloses a method, apparatus, electronic device, and medium for determining wind speed and direction considering the tower shadow effect of a wind measuring tower. The method may include: identifying two sets of wind measuring devices A and B at the same height and collecting initial data from A and B respectively; dividing the current area into multiple sectors, determining the degree of influence of the tower shadow effect on wind speed in each sector, and then evaluating the accuracy of the wind speed measurements; calculating the median ratio of the wind speeds of A and B to determine the degree of influence of the tower shadow effect on wind speed in each sector, and then determining the wind direction in each sector. This invention provides corresponding wind direction determination strategies for sectors with different wind directions, enabling wind direction determination with a wind measuring tower equipped with dual wind direction sensors, thus providing stable and reliable wind direction data.

A wind farm induced sub-synchronous oscillation and evolution rule analysis method, comprising: according to the topology and physical parameters of the wind turbine, a single-machine multi-physical coupling model containing an aerodynamic system, a mechanical system, an electrical system and a control system is established, the propagation path and frequency coupling characteristics of the equivalent wind speed low-frequency oscillation caused by the wind shear effect and the tower shadow effect to the electric energy oscillation are revealed;According to the physical state and spatial layout among different wind turbines, a wind farm aggregation model is established;The multi-machine disturbance coupling modeling is completed by combining the single-machine model and the aggregation model, and the evolution rule of single-machine sub-synchronous oscillation to wind farm sub-synchronous oscillation and its time domain and frequency domain characteristics are obtained.The present application provides technical support for the identification and prevention and control of new energy grid oscillation type, and can be used to ensure the safe and stable operation of power grid.