9results about "Active/predictive/anticipative control" patented technology

The present disclosure provides a control method, device, and system for a wind turbine set, and a storage medium. The control method comprises: acquiring a preset value of a control parameter and a plurality of historical measurement signals of a wind turbine set in a historical time period; according to the preset value and the plurality of historical measurement signals, determining an estimated distribution parameter of a control signal at a current moment; and determining the control signal at the current moment according to the estimated distribution parameter of the control signal at the current moment.

The application discloses a kind of gust control method, device, medium and system of wind generating set, method includes the following steps: 1) obtains the state signal of wind generating set, state signal includes wind speed, wind direction, generator speed, generator acceleration, cabin vibration acceleration, variable pitch speed, generator torque change rate, generator power change rate at least two kinds;2) according to at least two kinds of state information to obtain the correlation coefficient between state information;3) correlation coefficient is compared with preset threshold value;When correlation coefficient is not in preset threshold value, then judge wind generating set is operated in gust mode, and carry out variable pitch action.The application is based on correlation coefficient to detect gust in advance, and the action of pitch angle of actuator is executed by early triggering, reduce the extreme blade load and tower cylinder overturning bending moment of wind generating set under the condition of extreme related gust with wind direction change, guarantee the safety and reliability of wind generating set under the condition of extreme gust.

A control method (100) for controlling a wind farm comprising a plurality of wind turbines, based on a plurality of estimated wind velocities and a plurality of estimated wind directions of the wind on the wind farm. The method comprises determining (120), for each wind turbine, a respective rotation command by solving an optimization problem. The optimization problem aims at maximizing an objective function, comprising a first component and a second component. The first component is representative of power generated by the wind farm for said set of successive time instants. The second component is representative of the fatigue of each wind turbine of the wind farm, surrogated over the set of successive time instants. Said second component depends on the fatigue induced by mechanical moments of wind forces on each wind turbine, at each time instant.

This invention discloses a wind speed estimation method for wind turbine generators under limit control. Addressing the difficulty in estimating wind speed under limit control, this method reveals the essential mapping relationship between pitch angle and wind speed. Based on a polynomial fitting function of this mapping relationship, it effectively estimates the real-time wind speed of wind turbine generators under limit control using the pitch angle value, improving the wind speed estimation capability under multiple operating conditions and ensuring the safe and stable operation of wind turbine generators. Compared with existing methods, this method has the following advantages: (1) simple structure, requiring no additional hardware modifications; (2) strong versatility, applicable to different types of variable-speed, variable-pitch wind turbine generators; (3) high accuracy and small error in wind speed estimation. This method has strong practical engineering value.

The present disclosure provides a variable pitch control method, system and wind turbine generator set, the variable pitch control method comprising: determining wind speed data at a preset distance from a wind wheel of a wind turbine generator set on the windward side of the wind wheel in a current control period; determining an estimated pitch angle of the current control period based on the wind speed data of the current control period; comparing the estimated pitch angle of the current control period with a reference pitch angle of the previous control period, and taking the comparison result as the reference pitch angle of the current control period; and controlling the blade pitch of the wind turbine generator set based on the reference pitch angle of the current control period. The variable pitch control method and wind turbine generator set according to the present disclosure solve the problem that the reduction effect of the fatigue load of the whole machine is not good due to the lagging control, and can control the blade pitch in advance, better reducing the ultimate load and fatigue load of the whole machine.

The application provides a variable speed ratio vertical axis wind turbine system, comprising: a vertical axis wind rotor with blades; a brake, a multi-gear transmission, a generator, a power battery, and an electric power distribution unit, a gear hydraulic system and a controller electrically connected with the generator. Through the switching and regulation of gears, the generator is always in the high-efficiency power generation area. At the same time, smooth switching of the gearbox gears can be realized during the working process, the impact is reduced, the service life of the generator is increased, the brake can be used for the vertical axis wind turbine, and in the case of emergency, the accumulator can ensure that the wind turbine still has the brake function in the case of failure of the hydraulic system, so that safe, reliable and efficient power generation is ensured.

The application provides a kind of prediction control method, system, equipment and storage medium of floating wind turbine, wherein based on big data artificial intelligence training technology and digital twin technology, environmental prediction model is obtained in advance by collecting and training historical environmental data, and then corresponding wind turbine state prediction model is obtained by digital twin according to environmental prediction model, and performance and fatigue damage of wind turbine are predicted and control scheme is formulated by wind turbine state prediction model. The control scheme provided in the application ensures the safe operation of the wind turbine while taking into account the power output performance of the wind turbine, has good economic and social benefits, and has promotional value.

WEC controller, method and system, comprising: a controller (10) for a gyroscopic structure (2) associated with a floating float (3) and comprising an electric converter (9) suitable for converting a rotational energy of said floating float (3) into electric energy, the controller (10) receives as input a perturbed output state (x) comprising an operating variable of said gyroscopic structure (2), determines a drive signal (u) for said electric converter (9), and determines a first signal portion (v) determined using a predictive control model of said gyroscopic structure (2) calculated based on said perturbed output state (x) and a second signal portion (v) determined using a tube convergence calculated on a parametric deviation (r) of said operating variable of said perturbed output state (x). * ), and the parametric deviation (r) is determined by the unperturbed output nominal state (z NP ) of the second signal part (v * ) and

A pitch control method based on cooperative optimization for an offshore wind farm, may include: acquiring a power control signal and a load reduction control signal of each wind turbine cluster; and generating, according to the power control signal and the load reduction control signal, a pitch control command based on a preset optimal control objective, and transmitting the pitch control command to a corresponding pitch control action execution mechanism for pitch control; wherein the power control signal is determined by an arithmetic processing unit through processing wind turbine parameters and wind speed data of the offshore wind farm, with a control objective of maximizing output power of the offshore wind farm; and the load reduction control signal is generated by a single-turbine controller for the wind turbine cluster utilizing key features affecting power outputs of wind turbines in combination with a linear time-invariant dynamic model for the wind turbines.