3000results about "Wind motor control" patented technology

A wind energy plant with a nacelle, a rotor, which features at least one rotor blade adjustable in its blade pitch angle, a central control device for controlling the wind energy plant and a control unit disposed in the rotor for controlling the blade pitch angle of the at least one rotor blade, wherein the central control device and the control unit in the rotor can exchange data with each other via a data link, which comprises at least one first sending and receiving device at the nacelle side and at least one second sending and receiving device at the rotor side, wherein a wireless network connection with a safety-oriented communication protocol is provided between the at least one first sending and receiving device and the at least one second sending and receiving device, and that one monitoring- and communication device at a time is associated to the first and / or the second sending and receiving device, which can monitor the function of the sending and receiving device and initiate a predetermined action in the case of an error.

The invention provides a wind power plant unit state monitoring and fault early warning system and method based on deep learning, and belongs to the field of wind power generation and artificial intelligence. According to the system, a cloud edge collaborative architecture is adopted, an edge computing terminal operates a data-driven space-time prediction model and a physical digital twinborn model in parallel, and abnormity is preliminarily screened by calculating a double-track residual error and comparing the double-track residual error with a dynamic early warning threshold value. And when an exception occurs, the cloud platform receives multi-modal data including a sensor, a model state and an operation and maintenance text, performs deep root cause analysis by using a diagnosis model fused with a wind power fault knowledge graph, and generates an interpretable diagnosis report. According to the method, deep fusion of data and a physical model is realized, and the accuracy of fault monitoring, the interpretability of diagnosis and the intelligent level of operation and maintenance decision are remarkably improved through a data-physical double-track driving mode.

The invention discloses a wind power generation abnormal data analysis method and system, and relates to the technical field of data analysis, and the method comprises the following steps: constructing a wind direction change rate enhanced perception model, analyzing the potential omen of wind direction abrupt change based on an ultra-short time scale wind direction change trend curve and a wind speed fluctuation coupling index collected at multiple measurement points, and determining the wind direction abrupt change. Generating a risk early warning label of wind wheel pointing deviation; and based on the risk early warning label, executing a high-frequency yaw disturbance prediction mechanism, and predicting an inflow angle continuous offset window caused by yaw response lag by using a nonlinear time sequence evolution trend and a short-term wind direction reversal probability curve. The wind direction sudden change early warning is realized through multi-measuring-point wind direction enhanced perception and wind speed coupling analysis, the response precision is improved and the energy consumption is reduced in combination with predictive yaw compensation and torque balance, the yaw parameters are dynamically optimized by using adaptive closed loop and reinforcement learning, the inflow angle is kept stable for a long time, and the power generation efficiency and the structural safety are improved.

The invention provides an active-disturbance-rejection full-wind-speed power smoothing method based on kinetic energy of a fan rotor, and belongs to the technical field of wind power control. The technical problem that the output power of a traditional wind turbine generator is unstable due to random fluctuation of the wind speed is solved. According to the technical scheme, the method comprises the following steps that S1, rotor kinetic energy is calculated based on a wind turbine kinetic model, and the effect of the rotor kinetic energy in power fluctuation stabilization is analyzed; s2, designing a first-order linear active disturbance rejection controller for rotating speed loop control; s3, designing a second-order linear active disturbance rejection controller for variable pitch control; and S4, dynamically generating an active power reference value by combining the kinetic energy of the rotor and an active disturbance rejection control technology, and controlling by coordinating a rotating speed ring and a variable pitch. The method has the beneficial effects that power fluctuation can be remarkably reduced under wind speed fluctuation and complex working conditions, the smoothness of power output is improved, meanwhile, the anti-interference capability and the dynamic stability of the system are enhanced, and efficient and stable operation of the wind driven generator system is ensured.

Disclosed is an explainable method for monitoring a state of a generator of a wind turbine generator system on the basis of a spatio-temporal graph. The method includes: S1: acquiring data collected by a supervisory control and data acquisition (SCADA) system; S2: carrying out data understanding on the SCADA data, selecting features associated with the generator, and carrying out data preparation on the selected feature data, and obtaining valid data; S3: embedding the SCADA data, and forming a directed spatio-temporal graph data sequence; and S4: carrying out modeling of a normal behavior model of the generator on the constructed directed spatio-temporal graph data sequence, computing a full-graph-level residual and a node-level residual, computing a residual through an exponentially weighted moving average (EWMA) control chart method, carrying out full-graph-level state monitoring on the generator, forming a fault information transmission chain relation, and enhancing explainability and robustness of a monitoring result.

The invention belongs to the technical field of comprehensive utilization of ocean renewable energy sources, and particularly relates to a pilot frequency coupling-based wind wave energy multi-degree-of-freedom broadband control method, which comprises the following steps of: performing frequency domain identification on wind wave environment characteristics, and constructing a wind wave pilot frequency energy coupling model; based on the motion response characteristics of the multi-degree-of-freedom floating platform, designing a pilot frequency energy regulation and conversion mechanism; a full-working-condition dynamic optimization control strategy is adopted, and cooperative operation and energy flow self-adaptive distribution of the wind energy conversion unit and the wave energy conversion unit are achieved. Aiming at the significant difference and relevance of wind energy and wave energy in frequency characteristics, time scale and spatial distribution, a pilot frequency wind wave coupling dynamic model is established, and broadband capture of low-frequency wind-induced and high-frequency wave-induced coupling energy is realized under complex sea conditions through multi-degree-of-freedom motion decoupling and state observation, so that the wind-induced and high-frequency wave-induced coupling energy is obtained. The energy utilization rate, the attitude stability and the structural safety of the system are effectively improved, and good robustness and engineering adaptability are achieved.

The invention belongs to the technical field of ocean renewable energy power generation, and particularly relates to a floating type storm power generation system control method based on knowledge distillation and a partitioning strategy. Constructing a multi-teacher model system; knowledge distillation and student model training; designing a partition control strategy; designing a target function; designing a weight adaptive mechanism; defining constraint conditions; performing upper layer optimization solution; executing a lower-layer control instruction; and dynamically feeding back a correction mechanism. The method covers all operation and survival working conditions of the combined power generation system, on one hand, the modeling difficulty and complexity of a control model are reduced, the real-time performance and reliability of prediction and control are improved, on the other hand, the zoning control strategy is proposed in combination with the stormy wave condition from the angle of engineering application of the combined system, and the control efficiency is improved. Therefore, the energy utilization efficiency and the operation stability of the floating type wind and wave combined power generation system under complex sea conditions are enhanced.

The invention relates to the technical field of wind driven generator driving control, and discloses a wind driven generator rotor turning-over driving control method based on torque and rotating speed cooperation, which comprises the following steps: before operation, controlling a motor to execute forward and reverse quasi-static micro-motion, and collecting an average electromagnetic torque; pure gravity and friction components are separated by using torque arithmetic sum and difference, gravity model gain is corrected, and friction compensation is configured; a feed-forward torque is calculated in combination with a real-time angle, and friction compensation and speed loop feedback are superposed to generate a current instruction; according to the method, gravity and friction are decoupled through physical symmetry, model parameter errors are eliminated, hidden dangers of integral lag and out-of-control rotating speed when the variable polarity load passes through a dead point are avoided, and stability and safety of the turnover process of the hundred-ton rotor are ensured.

The invention provides an intelligent management method and system for global environmental control heat dissipation of a wind power plant, and is applied to the technical field of data processing. According to the application, wind power plant equipment operation and environment parameters are obtained, a global environment control sensing module is used, a core equipment state is monitored by means of multi-sensor fusion, and an equipment-environment association model is constructed to obtain a preliminary heat dissipation demand; an intelligent heat dissipation regulation and control module optimizes a strategy to generate a precise control instruction; the frequency converter fault-free management module dynamically adjusts parameters to form fault-free management information; coordinating equipment linkage through a joint optimization strategy to generate a global environment control scheme; and finally, the operation efficiency evaluation module outputs evaluation information containing efficiency and a safety coefficient, so that intelligent management of heat dissipation of the wind power plant is realized.

The invention discloses a wind power cluster regulation and control method, system and device based on distributed calculation and a medium, and belongs to the technical field of wind power cluster regulation and control, and the method comprises the steps: obtaining the historical wind speed and wind direction data of each wind driven generator in a wind power cluster; calculating a wind condition correlation coefficient between any two wind driven generators; constructing a graph model of a wind power cluster; based on the clustering number, clustering wind power generators in the wind power cluster to obtain a plurality of wind power groups; on the basis of a wind power set, an optimization objective function is constructed in combination with resource constraint conditions of the distributed computing nodes, and a distribution strategy of the distributed computing nodes is determined through an optimization algorithm; and operation regulation and control of the wind power cluster are realized. According to the method, the wind regime correlation coefficient is introduced to construct the graph model, the wind regime correlation degree between the wind driven generators can be accurately reflected, and the physical reasonability of clustering division is improved. The clustering number is determined through graph feature similarity matching, and the problem that parameter setting depends on experience in a traditional clustering method is avoided.

The invention discloses a fan yaw cooperative control method and system for an offshore floating type wind power plant, and relates to the technical field of offshore wind power, and the method comprises the steps: constructing a digital twinborn body of the offshore floating type wind power plant, and obtaining a twinborn wind power plant; the method comprises the following steps: locally calling historical wind regime data, solving a yaw coordination strategy in a twin wind power plant based on the historical wind regime data, and constructing a reference coordination control library; accessing a far-end weather forecast center, and acquiring predicted wind regime data falling into a prediction time window; traversing the reference cooperative control library based on the predicted wind regime data, and outputting a reference cooperative yaw angle; taking the reference cooperative yaw angle as an initial point, performing yaw cooperative control optimization in the twin wind power plant according to the predicted wind regime data, and outputting a predicted cooperative yaw angle; and in the prediction time window, performing power generation intervention on the offshore floating type wind power plant according to the predicted cooperative yaw angle. Therefore, the technical effects of prospective power generation intervention and improvement of power generation efficiency and stability are achieved.

The invention discloses a blade-free wind power generation device based on vortex-induced vibration and dynamic regulation and control and a regulation and control method. The blade-free wind power generation device comprises an energy capturing mechanism, a support, a dynamic regulation and control system and a power generation mechanism. The energy capturing mechanism, the power generation mechanism and the dynamic regulation and control system are all installed on the support. The energy capturing mechanism is arranged outside the support and is blown by wind to vibrate so that wind energy can be converted into mechanical energy. The power generation mechanism is arranged in the middle of the support and converts mechanical energy into electric energy. And the dynamic regulation and control system is used for regulating and controlling the vibration amplitude of the energy capturing mechanism at different wind speeds, so that the generated power of the energy capturing mechanism is kept stable. Compared with the prior art, the blade-free wind power generation method has the advantages that more stable electric energy output is realized by dynamically regulating and controlling the tightness of the mooring rope, the efficient, stable and environment-friendly blade-free wind power generation device is provided, and the maintenance cost is lower.

The invention discloses a control method and device of a wind driven generator, a terminal and a storage medium, particularly relates to the technical field of operation control of the wind driven generator, and is used for solving the problem that a supporting structure bears violent asymmetric loads due to dynamic response differences of wind and wave load directions in a marine environment in an existing control method. Wind direction and wave direction data are synchronously obtained in real time, the wind direction change rate is calculated, supporting structure vibration signals are analyzed to recognize wave excitation dominant frequency components, and when it is detected that wave excitation energy suddenly changes and the wind direction change rate exceeds the limit, the wind wave direction difference is analyzed; meanwhile, a wave spectrum energy concentration frequency band is determined by analyzing the tower top movement track, the load asymmetry risk level is evaluated by combining the direction difference and the wave energy concentration frequency band, finally, the yaw speed and the variable pitch speed are adjusted in a self-adaptive mode according to the risk level, and accurate recognition and early warning of the wind wave load direction mismatching working condition are achieved. And the operation reliability of the wind driven generator in extreme weather is improved.

The invention discloses a wind power generation device and a wind power generation control method.The wind power generation device comprises a supporting column, a sensor and a wind power generation mechanism, the wind power generation mechanism comprises a generator and a fan blade set, the wind power generation device further comprises a speed reduction mechanism, the speed reduction mechanism is electrically connected with a control system, and the sensor is electrically connected with the control system; when the sensor detects that the external wind speed reaches the first preset value, the control system controls the speed reduction mechanism to blow air to the fan blade set, speed reduction is conducted through blowing, a braking speed reduction structure does not need to be additionally installed between the blades and the generator, and therefore mechanical abrasion and maintenance cost are reduced; a complicated mechanical braking speed reduction structure is not arranged, so that the design of the wind driven generator is simpler, the weight is lighter, and the installation and the maintenance are more convenient; and mechanical parts are reduced, so that the reliability of the whole system is improved, potential fault points are reduced, and the service life of the wind driven generator is prolonged.

The invention discloses a fan variable pitch anti-stall control method, device and system based on temperature scheduling, and the method comprises the steps: calculating a minimum anti-stall pitch angle under different environment temperatures and fan output powers, and taking the minimum anti-stall pitch angle as an optimal pitch angle amplitude limiting value; constructing a corresponding relation among the environment temperature, the fan output power and the optimal pitch angle amplitude limiting value; in the operation process of the controlled fan, the temperature of the environment where the controlled fan is located and the output power of the controlled fan are collected in real time; and according to the environment temperature and the fan output power which are collected in real time and the stored corresponding relation, the real-time optimal pitch angle amplitude limiting value is obtained, so that the real-time pitch angle of the controlled fan is controlled to be lower than the real-time optimal pitch angle amplitude limiting value. According to the method, the operation safety of the unit can be improved, the control stability is improved, and the power loss can be minimized while stall is prevented.

The invention relates to the technical field of wind power generation, and discloses an anti-icing and deicing system and method for a wind turbine generator, electronic equipment and a storage medium, the system comprises a heating module which is laid on the surface of a blade and is divided into a plurality of heating subareas, and the heating subareas are used for independent control to provide local heating; the monitoring module is used for detecting and outputting the icing thickness and environmental parameters of the blade; and the control module is in communication connection with the monitoring module and the heating module, and is used for dynamically adjusting the power of the heating subareas based on the icing thickness and the environmental parameters, and realizing anti-icing control through an icing prediction model. Through the partition design of the heating module, the local icing area of the blade can be accurately heated, and energy waste caused by heating of the whole blade is avoided; the icing thickness and environmental parameters are monitored in real time, so that the control module can dynamically adjust the power, anti-icing operation is triggered in advance in combination with the icing prediction model, the heating energy consumption is remarkably reduced, and the problem of high energy consumption of an anti-icing and deicing system in the related technology is solved.

The invention belongs to the technical field of wind driven generator state monitoring, and discloses a millimeter wave and vision fused fan blade clearance monitoring system, which comprises a central processing unit, a wind driven generator, a millimeter wave radar sensor, a millimeter wave radar sensor and a millimeter wave radar sensor, and is characterized in that the central processing unit establishes a reference time difference according to blade transit timestamps acquired by the vision and millimeter wave radar sensor; during operation, a blade instantaneous angular velocity is determined by using visual data so as to correct a real-time timestamp, a comparison result of a dynamic time difference and a reference is calculated and is used as an initial diagnosis signal, and risk levels are discriminated by analyzing Doppler spectrum width characteristics of radar echoes in case of abnormality. According to the method, the fan master control system has the capability of distinguishing and recognizing the individual state abnormity of the single blade for the first time, the monitoring granularity is lowered to the component level from the complete machine level, and the improvement from passive response type control to predictive adaptability control is achieved.

The invention discloses an operation control method for a wind power generation system, and relates to the technical field of operation control, and the method comprises the steps: obtaining the historical operation data of a wind power generation system in a target sea area, taking an offshore environment factor as an interference factor, and coupling the time-space parameters of ocean turbulence intensity, wave load and salt spray corrosion rate; establishing a fan-marine environment digital twinborn body; operation data is acquired in real time, synchronous mapping and dynamic updating of the digital twin are realized, and a state prediction model is established in combination with historical operation characteristics; taking the maximum power generation efficiency and the minimum mechanical load as a multi-objective optimization function, and introducing a model prediction controller to obtain an optimal control sequence of the wind power generation system in a future time domain of each control period; and selecting a first control instruction in the optimal control sequence, issuing the first control instruction to a physical fan torque controller and a variable pitch system in real time, realizing rolling optimization of the wind power generation system, and obtaining a self-adaptive operation control scheme of the wind power generation system. The power generation benefit of the whole life cycle is improved.

The invention relates to the technical field of wind power generation, and discloses a variable-pitch control method, device, equipment and product for a floating type wind turbine generator. A wind turbine generator model is constructed by comprehensively considering multiple factors such as aerodynamics, hydrodynamics and mooring dynamics, and a gain scheduling control model is introduced into a preset PI control method; the method can adapt to different working conditions, effectively overcomes the limitation of the traditional PID control in the complex dynamic environment of the floating wind turbine generator, reduces the power fluctuation, and reduces the structure resonance risk. A preset platform pitching value is introduced into expert PID control, and Kohmann coordinate transformation is combined, so that the negative damping problem of a unified variable-pitch floating type fan is solved, and accurate distribution of control signals is realized. And finally, through the control combination of unified variable pitch and independent variable pitch, the pitching amplitude is reduced, the blade load is reduced, the stability and safety of the floating type wind turbine generator are remarkably improved, and reliable operation of the generator is guaranteed.

The invention discloses a wind turbine generator self-adaptive control method, medium and system based on environmental turbulence, and the method comprises the steps: S1, collecting the power of a generator and the current pitch angle in the normal operation process of a wind turbine generator; s2, estimating the real-time wind speed based on the power of the generator and the inherent parameters of the unit; s3, calculating real-time environmental turbulence intensity according to the real-time estimated wind speed; s4, inputting the real-time environmental turbulence intensity and the current pitch angle into a fuzzy controller, and calculating a variable pitch control parameter coefficient according to a preset fuzzy rule; and S5, based on the variable-pitch control parameter coefficient, the variable-pitch control parameter is adjusted to carry out variable-pitch control, and self-adaptive stable operation of the unit is achieved. According to the method, no hardware needs to be additionally installed, unit load impact and rotating speed fluctuation caused by large turbulence can be effectively restrained, and on the premise that it is ensured that the limit load of key components does not exceed the limit, the operation stability of the unit is improved, the power generation loss is reduced, and cost reduction, efficiency improvement and safe and stable operation are achieved.

The invention discloses a vibration control method for an offshore wind turbine structure, which comprises the following steps of: a, implementing real-time multi-source data acquisition which is realized by deploying a series of sensors on the offshore wind turbine structure and in the surrounding environment so as to obtain environmental load parameters, structural response parameters and running state parameters of the offshore wind turbine; and b, inputting the acquired data into a composite environment and structure state decoupling and feature extraction module, preprocessing the acquired data by the module, and identifying an environment load spectrum in real time. According to the vibration control method for the offshore wind turbine structure, through multi-source information fusion, online system identification and self-adaptive multi-target control, broadband, multi-mode and self-adaptive suppression of vibration of the offshore wind turbine structure is achieved, and the limitation of a traditional fixed parameter damper in a complex dynamic marine environment is overcome; complex excitation sources such as wind, waves and ocean currents and the coupling effect of the excitation sources are effectively handled.

The invention relates to a wind power plant active wake flow control method and device based on machine-field cooperation. The method is characterized in that a field control layer and a machine control layer are cooperatively operated; calculating the real-time wind speed of each fan in the wind power plant based on a Gaussian rotation-energy conservation wake flow superposition model describing the asymmetric characteristics of the wake flow and the multi-wake flow interactive superposition of the whole wind power plant; in the field control layer control, the optimal yaw angle under different wind condition combinations is obtained by taking the maximization of the total output power of the wind power plant as a target; in the control of the machine control layer, yaw angle tracking errors and the fatigue load of a yaw bearing are considered, model prediction control is applied within a continuous time range, and the yaw angle of each fan is dynamically adjusted according to the optimal yaw angle provided by the field control layer. Compared with the prior art, the method has the advantages that the generating capacity is remarkably improved and the fatigue load is reduced in a randomly fluctuating wind field environment, and the method has remarkable applicability in a large offshore wind plant.

The invention discloses a wind power generation variable pitch load suppression method and system, and relates to the technical field of wind power generation variable pitch load suppression, and the method comprises the steps of basic data acquisition, basic data analysis, power generation rate analysis, load data analysis and load abnormity processing. Whether hydraulic variable pitch operation is carried out or not is judged, then whether the power generation rate of the wind driven generator is qualified or not is judged, the wind load, the inertia load, the gravity load and the hydraulic cylinder load of each blade are combined for analysis, then the load coupling value of each blade is obtained, and the load abnormal condition of the wind driven generator is obtained through analysis; the problem of limitation existing in the current wind power generation variable-pitch load suppression analysis process is solved, comprehensive and objective analysis of wind power generation variable-pitch load suppression analysis is achieved, and reliability and authenticity of a wind power generation variable-pitch load suppression analysis result are guaranteed.

The invention discloses a wind driven generator large-torque transmission chain resistance increasing control method and system, and relates to the technical field of wind driven generator resistance increasing control. The method comprises the steps that operation parameters of a wind driven generator are collected in real time and preprocessed; calculating a rotation fluctuation frequency set and a corresponding amplitude spectrum of the current time window, and tracking and locking the dominant vibration frequency; constructing a fan state space prediction model containing the torsional vibration state of the transmission chain, outputting the predicted variable quantity of the torque of the transmission chain in the next control period, constructing a filter bank based on the dominant vibration frequency, performing filtering compensation on the predicted variable quantity, and generating an electromagnetic torque given value; and performing phase lead compensation on the electromagnetic torque given value, generating a control instruction, sending the control instruction to the wind power converter, and controlling the wind power generator to output the corresponding electromagnetic torque by using the wind power converter. Through systematic multi-link cooperative processing, the vibration suppression effect and the operation stability of the transmission chain can be comprehensively improved.

A digital twin holography monitoring and self-healing system for wind turbines, characterized by the fact that it comprises sequentially connected components: a physical plane, including the body of the wind turbines (1), the multi-source sensor network deployed on it and the execution device; a data acquisition and transmission layer for acquiring and transmitting data from the aforementioned multi-source sensor network; Digital twin model layer for creating and running virtual twins that are synchronized with the physical entity layer, including geometric models, physical models, behavioral models, rule models, and data model fusion modules; Holographic monitoring and diagnostic layers for visualizing plant condition, health assessment, fault prediction, and diagnosis based on the digital twin layer; and A fault self-healing regulation layer serves to independently generate and execute regulation strategies based on diagnostic results, which are returned to the execution organization of the physical entity layer.

The invention belongs to the field of offshore wind power, and discloses a single-pile offshore wind turbine power regulation and load relief method, which comprises the following steps of: constructing a thrust system model of wind to a rotor and a tower; constructing a dual-mass transmission system model of the wind turbine generator; constructing a tower top front-back displacement model and a pile soil front-back displacement model; constructing a rotor speed tracking error model based on an adjustment error method; constructing a tracking error model of the change rate of the front-back displacement of the tower top; constructing an optimal control strategy based on an infinite vision field optimal cost function; and designing an optimal pitch control scheme based on a robust adaptive dynamic programming algorithm. According to the design of the RADP-based propeller pitch controller provided by the invention, the MOWT model does not need to be completely known, so that the calculation cost of the controller is reduced, and the calculation efficiency is improved.

The embodiment of the invention provides a load balancing control method of a variable pitch system, which comprises the following steps of: continuously acquiring blade root bending moment and rotor azimuth angle signals, accurately preprocessing to obtain 1P harmonic information of bending moment in a flapping direction, and updating accumulated wear conditions of each blade under different azimuth angles in real time based on the 1P harmonic information. According to the method, a dynamic abrasion map is established, the active balance variable pitch offset is actively calculated based on the abrasion map, the load is intelligently guided from a heavily-abraded area to a lightly-abraded area, and a refined blade variable pitch angle is finally formed in combination with traditional IPC correction and a collective variable pitch instruction. In this way, key components such as the variable pitch bearing are prevented from bearing overhigh local stress for a long time in a specific azimuth angle, uniform abrasion of rolling bodies or raceways is achieved, and therefore local fatigue damage is remarkably reduced, and the service life of the variable pitch bearing of the wind generating set and the service life of related components are prolonged.

The invention discloses an intelligent variable pitch control method, system and equipment for a wind generating set, and relates to the technical field of wind generating set control, and the method comprises the steps: synchronously collecting multi-source data in real time through a multi-source heterogeneous sensor array, constructing a dynamic load spectrum matrix, and carrying out nonlinear optimization; an optimal pitch angle sequence is generated to drive a variable pitch execution mechanism, meanwhile, the blade stress change rate is monitored in real time, and an aerodynamic load-structure response coupling factor is calculated; when the factor exceeds a safety threshold, the pitch angle command is reconstructed and the pitch angle is forcibly adjusted to a preset safety angle. The technical problems that the power generation efficiency and the structure safety are difficult to consider under the complex turbulence condition and a safety protection mechanism under the over-limit working condition is lacked in the variable pitch control of the existing wind generating set are solved, and the aim that the power generation efficiency and the structure safety are effectively improved through nonlinear optimization control and introduction of an over-limit triggered standby control path is achieved. And the technical effect of dynamic unification of power generation efficiency and structural safety in a complex turbulence environment is achieved.

The invention discloses a cooperative yaw optimization control method and system for a wind power plant group, and relates to the technical field of wind turbine generator control, and the method comprises the steps: obtaining the wind speed, wind direction and turbulence intensity of the wind power plant group and the fan power of each fan, and inputting the wind speed, wind direction, turbulence intensity and fan power of each fan into a target wake flow model, and outputting a wake flow propagation influence relation in the simulated wind power plant, determining a target yaw deviation angle of each fan according to a preset period based on the wake flow propagation influence relation and the position of each fan in the wind power plant group, and adjusting the yaw angle of each fan in the wind power plant group according to the target yaw deviation angle. In this way, the adverse effect of the wake flow of the upstream draught fan on the downstream draught fan can be effectively weakened, and the overall power generation efficiency of the whole wind power plant group is improved.

The invention discloses an operation control method and device for a vertical axis wind turbine generator, and belongs to the technical field of wind power generation. The method comprises the steps that a pitch angle of a lower blade is driven to be gradually increased to a preset angle at a preset angular speed through a variable pitch controller; when the rotating speed of the wind wheel reaches the cut-in rotating speed, the optimal tip speed ratio is tracked until the rotating speed of the wind wheel rises to the rated rotating speed; when the rotating speed of the wind wheel reaches the rated rotating speed, the rotating speed of the wind wheel is stabilized at the rated rotating speed; when the driving torque under the action of the aerodynamic load continuously exceeds the rated torque of the generator and the rotating speed of the generator reaches an early-warning rotating speed threshold value, a shutdown control strategy is triggered; and under the shutdown control strategy, the connection between the generator and the power grid is cut off, and mechanical braking is applied, so that the wind wheel stops rotating. According to the technical scheme, smooth starting of the wind wheel, stable operation at the rated rotating speed and safe shutdown in the fault state are achieved, the starting and stopping capacity and power stability of the unit are effectively improved, the wind speed application range is expanded, and it is guaranteed that the whole-process operation of the unit is safe and reliable.