10 results about "Power capture" patented technology

The invention relates to an optimal power capturing method for a wave energy power generation device of a mixed-flow type air turbine, and belongs to the field of wave energy power generation. The optimal power capturing method comprises the steps that the change condition of the average output power of the turbine under different sea conditions along with the rotating speed is tested, and the maximum average output power point of the turbine under each sea condition is obtained; fitting the maximum average output power point under each sea condition to obtain a control law of the electromagnetic power of the motor; the quadrature-axis current reference value of the stator is made to be equal to zero, and the direct-axis current reference value of the stator is calculated; calculating a stator quadrature-direct axis current error term, and establishing a positive definite Lyapunov function; deriving the Lyapunov function, substituting the Lyapunov function into a stator quadrature-direct axis current state equation, and then performing transformation according to a first stability theorem to obtain a stator quadrature-direct axis voltage control law; and generating a corresponding SVPWM (Space Vector Pulse Width Modulation) switching signal according to a stator quadrature-axis voltage control law so as to control a motor-side converter and realize control on a turbine. The wave energy capturing efficiency can be improved.

The application relates to the field of wind power generation technology and discloses a bladeless wind driven generator capable of improving wind power generation efficiency, which comprises an energy storage base mechanism and a power capturing mechanism, the energy storage base mechanism comprises an electric energy storage system, a regulation and control transmission system, a protection optimization system and a light energy application system, and the power capturing mechanism comprises a power capturing and conducting system, a power capturing optimization system, a regulation and control optimization system and a support protection system; the bladeless wind driven generator capable of improving wind power generation efficiency has the power capturing optimization system and the regulation and control transmission system, the lifting regulation and control mechanism and the pneumatic conducting mechanism arranged in the regulation and control transmission system are started through the transmission control air pump, the lifting air cylinder piston rod is pushed out, the lifting butt joint seat and the lifting fixed seat are far away from each other, the upper end of the function mounting seat is lifted, the power capturing and conducting system is lifted, the power capturing column body is lifted, and the high-altitude airflow kinetic energy with a faster flow speed can be more favorably captured.

A variable speed wind turbine maximum power capture method, system and application thereof, the method is based on active disturbance rejection control, RBF neural network and variable speed wind turbine maximum power capture method, including the following steps: establishing the equivalent model of variable speed wind turbine; using the second order linear active disturbance rejection control (LADRC) algorithm to construct the generator torque controller; using the gravity search algorithm to optimize the generator torque controller parameters and obtain the optimal parameter data set; based on the optimal parameter data set, the radial basis function neural network is trained, and the trained radial basis function neural output is suitable for the generator torque controller parameters under the current wind speed condition. Using the gravity search algorithm to optimize the generator torque controller parameters and obtain the optimal parameter data set; based on the optimal parameter data set, the radial basis function neural network is trained, and the trained radial basis function neural output is suitable for the generator torque controller parameters under the current wind speed condition.

The application provides a wind energy driven self-powered system and belongs to the technical field of new energy, which comprises a power capturing structure module, an interface circuit module, a check valve circuit module and an electric energy storage module; the power capturing structure module is used for capturing wind energy in the environment and converting the wind energy into electric energy; the interface circuit module is used for transforming the converted electric energy into electric energy with a preset voltage; the check valve circuit module is used for preventing the electric energy in the electric energy storage module from flowing back to the interface circuit module; the electric energy storage module is used for supplying power to a sensor by using the energy storage element when the converted electric energy is lower than the required electric energy for normal operation of the sensor, and supplying power to the sensor by using the electric energy with the preset voltage in the interface circuit module and charging the energy storage element when the converted electric energy is higher than the required electric energy for normal operation of the sensor. The electromagnetic wind power generation structure is combined with the wind-induced vibration piezoelectric power capturing structure, so that the wind energy in the environment can be better absorbed and converted into electric energy through the power capturing structure module, and the wind energy in the environment can be maximally utilized.

A method of monitoring one or more blades of a rotor of a wind turbine, the method comprising: obtaining bending information indicating bending of one or more of the blades; obtaining pitch information indicating a pitch angle of one or more of the blades; when wind speed is below a rated wind speed: operating the wind turbine in a partial load mode in which pitch angles of the blades are controlled to maximise power captured by the rotor; operating a first detection mode in which the bending information is analysed to determine whether a blade anomaly exists and generate a corresponding output, wherein the first detection mode coincides with the partial load mode over a first range of wind speeds; when wind speed is above the rated wind speed: operating the wind turbine in a full load mode in which the pitch angles of the blades are varied to capture a maximum allowed power with the rotor; and operating a second detection mode in which the pitch information is analysed to determine whether a blade anomaly exists and generate a corresponding output, wherein the second detection mode coincides with the full load mode over a second range of wind speeds.

The invention discloses a direct-drive wave power generation dry-type simulation device, and belongs to the technical field of wave power generation. Comprising a base, an electric cylinder, a linear generator and a flexible coupling connection module. The flexible coupling connection module is connected between the power output end of the electric cylinder and the linear generator rotor and comprises at least one set of springs. According to the invention, power output with adjustable amplitude and frequency is provided through the electric cylinder, and a dynamic model of the platform is equivalent to a dynamic model of a floater in real waves by adjusting system parameters, so that the running state of a direct-driven wave energy power generation device under an ocean wave condition can be accurately simulated, and a power capture optimization control algorithm is effectively verified. The problems that a traditional test platform is insufficient in motion simulation precision, control algorithm verification fails, and the wave condition simulation range is limited are solved.

The invention relates to the technical field of wind power plants, and discloses a wind turbine generator field-level power collaborative optimization control strategy considering a wake effect, so as to reduce the weakening effect of the wake effect on the generated power of the wind power plant, realize the optimization of the power capture performance of the wind power plant and improve the economic benefit of the wind power plant. According to the method, a distributed model prediction control framework is utilized, and firstly, a numerical model is established according to mechanical characteristics of a fan actuator, a transmission system and the like; secondly, establishing a wake flow model according to radial distribution characteristics of fan wake flow; then, linearization is carried out on the established model; and finally, establishing a wind field control framework and a cluster decision cost function by using a model prediction control framework, and controlling fan actuators in the field to perform cooperative work.

The invention relates to the field of wind power generation, in particular to a dual-mode wind generating set device which comprises a power generation assembly. The swing arm assembly is arranged at the rotating end of the power generation assembly; the short circuit assembly is located on one side of the swing arm assembly and driven by the swing assembly to move in the first direction. The power generation assembly drives the swing arm assembly to rotate, so that the swing arm assembly is in a first state or a second state, when the swing arm assembly is in the first state, the short circuit assembly is pushed to move in the first direction, and when the swing arm assembly is in the second state, force is not applied to the short circuit assembly. The method has the beneficial effects that when the rotating speed of the power generation assembly reaches a threshold value due to high wind speed, the generator is switched to a double-fed mode to adapt to a high-speed working condition, and power capture and power grid adaptability are optimized; when the wind speed is low and the rotating speed does not reach the threshold value, the generator is switched to the squirrel cage mode, the lower limit of the rotating speed is broken through, and efficient energy capture at the low wind speed is achieved.

The invention discloses a single-rope reciprocating transmission type manpower power generation device and a control method thereof. According to the device, through a winding mode of double transmission wheels, a same-direction one-way transmission piece, a reversing pulley and a pull rope with opposite spiral directions, a return stroke dead zone of a traditional pull rope generator is thoroughly eliminated, and one-way continuous rotation and uninterrupted energy capture under single-rope reciprocating pulling are achieved. Through a sectional type transmission shaft and a third one-way transmission piece, a user operation end and a core inertia wheel power generation module are subjected to dynamic decoupling, and it is ensured that inertia kinetic energy stored by an inertia wheel can be used for continuous power generation to the maximum degree without loss. According to the method, a power generation load is dynamically adjusted by sensing the angular acceleration of an inertia wheel in real time, and efficient self-adaptive power capture is achieved; meanwhile, touch and visual dual feedback is provided based on the load and the energy storage state. The method is labor-saving in operation, high in energy conversion efficiency and high in system robustness.

The invention provides an active frequency control method and device for a wind power grid-connected system. The method comprises the steps that power grid parameters, frequency parameters, fan parameters and wind speed parameters in the wind power grid-connected system are collected; constructing a system frequency response equation set in combination with the collected parameters; determining the maximum releasable energy and the energy frequency modulation support constraint by combining the fan parameters, the frequency parameters, the rotor kinetic energy release power of the fan and the captured wind energy loss; controlling the kinetic energy release of the rotor based on the maximum releasable energy and the energy frequency modulation support constraint; responding to the condition that the power grid frequency and the frequency change rate meet preset requirements, controlling the rotor to stop energy release, and switching to a kinetic energy recovery mode; and evaluating the active frequency control effect of the wind power integration system based on the kinetic energy utilization rate of the rotor and a preset frequency support index.