500 results about "Wind power system" patented technology

The invention discloses a stability analysis method of a network tracking / constructing hybrid station based on an impedance model, and relates to a modeling and stability evaluation technology of a wind power plant grid-connected system. The method comprises the following steps: firstly, respectively establishing sequence impedance models of a following network type direct-driven fan and a construction network type direct-driven fan based on a harmonic linearization method, and verifying the accuracy of the established models in different frequency bands by combining an impedance sweep frequency method; secondly, on the basis of considering the influence of line impedance, deducing to form an impedance network structure of a hybrid wind power plant grid-connected system, and constructing a stability judgment condition suitable for system analysis; and finally, based on the established impedance stability criterion, identifying possible oscillation risks of the system in subsynchronous and supersynchronous frequency bands. The method is suitable for wind power system stability analysis in various hybrid access scenes, and provides theoretical basis and technical support for subsequent system parameter setting, control strategy optimization and oscillation suppression measures.

The present disclosure provides a method and device for calculating fault measurement impedance of a hybrid-connected grid-following and grid-forming wind power system. The method includes: obtaining characteristics of the grid-following and grid-forming converters and a corresponding low voltage ride-through control strategy; establishing an equivalent circuit under a corresponding fault state; conducting a simplified analysis on the wind power system to obtain an equivalent network diagram; obtaining a sub-circuit diagram of each power source excitation acting alone; obtaining short-circuit currents on both sides of the corresponding system and a grid connection point voltage; superimposing to obtain total short-circuit current on both sides of the wind power system and total grid connection point voltage; and obtaining a measurement impedance at a protection installation location on the new energy source side. The method can accurately calculate the measurement impedance value at the protection installation location after the wind power system has fault.

The invention relates to the technical field of new energy power generation monitoring, in particular to a new energy wind power system fault detection method, system and device based on multi-parameter fusion and a medium. The method comprises the following steps: acquiring various operating parameters such as wind speed, wind direction, generator speed, temperature, voltage and current of a wind power system in real time, and performing feature extraction on the operating parameters to obtain key features related to a fault; analyzing the key features based on a deep learning algorithm, and judging the fault type of the wind power system; and outputting a fault diagnosis result in a visual mode, and sending the fault diagnosis result to a control center for remote monitoring and fault early warning. The technical problems that fault detection of a traditional wind power system is poor in real-time performance, not high in accuracy, low in intelligent degree and the like are solved, and reliable guarantee is provided for safe and stable operation of the wind power system.

The present disclosure provides a fault measurement impedance calculation method and device for a hybrid grid-following / grid-forming wind power system. The method comprises: acquiring characteristics of a grid-following converter and a grid-forming converter, and corresponding low-voltage ride-through control strategies; establishing an equivalent circuit corresponding to a fault state; performing simplified analysis on a hybrid wind power system to obtain an equivalent network diagram; obtaining a branch circuit diagram under individual action of each power excitation; obtaining short-circuit currents and grid-connected point voltages on two sides of the system corresponding to the individual action of each power excitation; performing superimposition to obtain a total short-circuit current and a total grid-connected point voltage at the two sides of the hybrid wind power system; and obtaining a measurement impedance at a protection installation point on a new energy side. In the method, a measurement impedance value at a protection installation point of a hybrid wind power system after a fault occurs can be accurately calculated, so that the setting calculation of distance protection is ensured, so as to accurately reflect fault characteristic information of a hybrid AC system, thereby providing a basis for the distance protection applicability research of the hybrid wind power system, and thus ensuring the safe and stable operation of new energy systems.

The invention discloses a wind power generation system. The system comprises a ground device; the floating device comprises an adjusting air floating piece and a first annular air floating piece, the adjusting air floating piece is movably connected with the ground device, the first annular air floating piece is connected with the adjusting air floating piece, and a through duct is defined by the inner wall of the first annular air floating piece; the wind power generation device is arranged in the duct; and the position of the gravity center of the adjusting air floating piece in the extending direction of the duct is adjustable. According to the wind power generation system, the influence of airflow disturbance, temperature change and buoyancy lift gas leakage on the floating device can be reduced, the phenomenon that the pitching posture change amplitude is large is reduced, particularly, the included angle between the wind receiving face of the blade of the wind power generation device and the airflow direction is closer to the optimal value, the effective wind energy area flowing through the blade is increased, and the wind power generation efficiency is improved. And the fluctuation of the wind energy yield along with the posture is reduced, so that the wind energy utilization efficiency and the power generation output power are improved.

The invention discloses a wind power system composite oscillation suppression strategy and system based on a static synchronous compensator, and the strategy comprises the steps: firstly constructing a sequence impedance model of a GFM-STATCOM and an equivalent wind turbine generator (EWTG) based on a wind power output system containing the GFM-STATCOM; combining the impedance contribution degree beta, analyzing the interaction between the two, and determining the oscillation risk dominant factor of the sub / super-synchronous frequency band; and finally, performing frequency-band suppression: aiming at the problem of negative damping dominance of the subsynchronous frequency band GFM-STATCOM, adopting a control parameter optimization strategy based on parameter sensitivity, and reducing a reactive loop integral coefficient by increasing virtual resistance so as to reduce a negative damping range. In order to solve the problem of negative damping leading of a super-synchronous frequency band EWTG, a virtual admittance control strategy based on voltage feedforward is adopted to reduce the output impedance amplitude of a GFM-STATCOM, the leading position of positive damping of the GFM-STATCOM is enhanced, and then the negative damping of the system is eliminated. According to the invention, precise suppression of composite oscillation is realized, and the stability of a wind power sending system under a weak power grid is improved.

The invention discloses a wind power inertia analysis method considering fan inertia support, and relates to the technical field of wind power system control, and the method comprises the following steps: collecting dynamic response data of a target generator set under a preset disturbance condition, and building a double-loop dynamic model based on the dynamic response data; performing closed-loop coupling on the double-loop dynamic model and a preset power grid model, and constructing a unit-power grid joint dynamic simulation model; based on the joint dynamic simulation model, acquiring a multi-dimensional inertia response characteristic matrix; based on the inertia response characteristic matrix, obtaining a contribution value of a virtual inertia control layer to power grid frequency support; and dynamically adjusting control parameters of a virtual inertia controller in the target generator set according to the quantized contribution value. According to the method, the response characteristics of the wind turbine generator under different disturbances are simulated through the double-loop dynamic model and unit-power grid joint simulation, the inertia response characteristics are analyzed based on real-time data, the capability of efficiently and accurately adjusting the virtual inertia control layer is achieved, and the stability of the power grid is enhanced.

The invention discloses a wind power generation device and system, and the device comprises a main bag body which extends in the front-back direction, and the peripheral surface of the main bag body is a rotary surface; the annular wing is arranged on the radial outer side of the main bag body in a sleeving mode, the annular wing and the main bag body are spaced, and an airflow channel is formed between the inner wall of the annular wing and the outer wall of the main bag body; the airflow channel is divided into a plurality of air channels through components, the air channels are arranged in the circumferential direction of the main bag body, and fan blades are arranged in at least part of the air channels. By means of the coaxial layout of the main bag body and the annular wing and the combination of division of an airflow channel by a component, efficient capture and energy conversion of wind energy are achieved. Compared with a traditional floating power generation device, the wind sweeping area of the fan blades can be remarkably reduced under the same power generation power, the economical efficiency of the wind power generation device is improved, and the technical feasibility of stepping towards a higher altitude and a higher wind energy density area is achieved.

The invention relates to the field of wind power generation control, and particularly discloses a cooperative control analysis system and method of a distributed wind power generation system. The artificial intelligence technology based on the deep learning field is used for calculating wind intensity values of a plurality of preset time points in a preset time period of the wind power plant, wind frequency values of the plurality of preset time points in the preset time period and wind frequency values of the plurality of preset time points in the preset time period. And performing feature extraction and coding on the wind speed values at the plurality of preset time points in the preset time period and the wind direction values at the plurality of preset time points in the preset time period to obtain a classification result of the type of the wind driven generator which is suitable for running. Therefore, wind energy can be effectively utilized by intelligently selecting the type of the wind driven generator which runs properly, and the stability and reliability of power generation of the wind power plant are improved.

The invention discloses a wind power plant inertia damping adaptive regulation and control method and system fused with a deep Q network, and belongs to the technical field of power systems. The method comprises the following steps: establishing a doubly-fed wind turbine generator, a converter mathematical model and an interaction model of a wind power system connected to a power grid, and analyzing the grid-connected stability of the wind power system; the dynamic response characteristic of providing inertia support by the VSG system under different conditions is researched, and the primary frequency modulation capability is improved; a depth Q network is adopted to select rotational inertia and a damping coefficient, a damping inertia adaptive control strategy is improved, cooperation of inertia support and frequency response capability improvement of a wind turbine generator and continuous and smooth adjustment of active power is realized, the stability of a power grid is improved, and the operation performance of a wind power plant is optimized. According to the method, dynamic optimal matching of inertia response, primary frequency modulation and the running state of a unit is achieved, auxiliary services are provided, meanwhile, the running safety and service life of a draught fan are guaranteed, and smooth and impact-free adjustment of active power 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 field of wind power systems, in particular to an energy efficiency dynamic optimization method and system of a wind power hydrogen production coupling system. The method comprises the following steps: acquiring real-time operation data of a wind power plant, including wind speed, generated power and equipment state information; based on the real-time operation data, a dynamic energy efficiency model of the wind power hydrogen production system is constructed through a data fusion algorithm; predicting energy efficiency performance of the wind power hydrogen production system under different operation conditions according to the dynamic energy efficiency model; based on the prediction result, a multi-objective optimization algorithm is adopted to generate an optimal operation strategy, and the optimal operation strategy comprises start-stop control of hydrogen production equipment, a power distribution proportion and charge-discharge scheduling of an energy storage system; and issuing the optimal operation strategy to a control unit of the wind power hydrogen production system to realize dynamic optimization of energy efficiency. The problems of high data fusion difficulty and insufficient energy efficiency model dynamics in the prior art are solved.

The invention relates to an alternating-current trunk line or an alternating-current power distribution network, in particular to a method for improving the stability of a wind power system through combined control of network construction type energy storage and a nine-switch UPQC. The method comprises the following steps: firstly, proposing an active regulation and inertial support control method based on a virtual synchronous machine mechanism for network construction type energy storage; and secondly, by constructing a coordination control framework, dynamic response complementation of the energy storage system and the UPQC under disturbance is realized, so that the overall frequency stability and voltage supporting capability of the system are improved. And finally, building a system model in Matlab / Simulink, setting three typical working conditions of wind power fluctuation, frequency disturbance and serious voltage drop, and carrying out scheme validity verification. Simulation results show that the method can effectively stabilize the wind power output fluctuation, enhance the frequency and voltage support capability, and significantly improve the stability of a wind power system.

The invention relates to the technical field of relay protection, in particular to a three-phase self-adaptive reclosing method and system for a wind power transmission line. The method comprises the following steps: when a fault is detected, collecting a secondary side voltage signal of a target fault phase of the wind power system; determining a fault phase voltage envelope value according to the peak value of the secondary side voltage signal; calculating energy in a plurality of time windows according to the fault phase voltage envelope value; sequentially calculating the energy ratio between the energy of the jth (j = 2, 3, 4,...) time window and the energy of the first time window; if the value of the energy ratio of at least three continuous time windows in the maximum discrimination time limit is greater than 1, determining a reclosing moment so as to output a circuit breaker closing signal after the reclosing moment is reached; otherwise, judging that the fault type is a permanent fault, and not outputting the circuit breaker closing signal. The objective of the invention is to solve the problem of how to identify the fault type of a wind power system before reclosing of a circuit breaker.

The method aims at solving the problems that in a wind power generation system, due to modeling errors of a prediction model in model prediction independent variable pitch control, the load of a blade root of a fan is too large, and output power is unstable. On the basis of model predictive control (MPC) independent variable pitch control, a model predictive independent variable pitch control method integrating deep deterministic policy gradient algorithm (DDPG) reinforcement learning compensation is provided, so that the modeling error of an MPC predictive model is reduced, the load reduction effect is improved, and the stability of output power is enhanced. And a DDPG compensator is designed, so that an intelligent agent continuously learns through a trial-and-error and feedback mechanism, thereby dynamically compensating a modeling error and improving the load reduction performance of MPC independent variable pitch control. According to the invention, the output power of the fan can be more stable, and the fluctuation of blade root load can be effectively reduced, so that the service life of the fan is prolonged, and the operation reliability of the system is improved.

The invention discloses a power grid parameter self-adaptive detection method suitable for a voltage distortion working condition of a wind power generation system. The method comprises the steps of 1, initializing a voltage estimation value according to priori knowledge of power grid voltage; step 2, sampling through a sensor to obtain a power grid voltage containing harmonic waves and direct current components; 3, calculating an estimation error according to the power grid voltage sampling value; 4, designing a self-adaptive observer, and estimating an intermediate variable; 5, updating the voltage estimation value according to the intermediate variable obtained in the step 4; step 6, estimating the power grid voltage of the harmonic component and the direct current component of the voltage by using the intermediate variable obtained in the step 4; and step 7, repeating the step 2 to the step 6, continuously updating the parameter estimation value, and obtaining the real-time parameter of the power grid voltage. According to the invention, when the voltage of the power grid is distorted, the voltage parameter can still be accurately detected, the harmonic and direct current components are separated and extracted under the condition of no steady-state error, and the safe and stable operation of a power system is ensured.

The invention relates to the technical field of offshore wind turbine generators, in particular to a method and system for providing emergency power supply for a wind power generation system through an ocean energy power generation system, electronic equipment, a storage medium and a monitoring system. The invention discloses an emergency power supply method, a wind power generation system is provided with an energy storage backup power supply module and an electric energy access and switching control module, and communication connection is configured between an ocean energy power generation system and a main control system of the wind power generation system. When the high-voltage side of the wind power generation system is powered off or the power grid is interrupted, the main control system judges whether the energy storage backup power supply needs to supplement electric energy; if yes, the ocean energy power generation system is started to charge the system; if not, the energy storage module supplies power to the control system; when the energy storage module fails, the ocean energy system is controlled to directly supply power to the control system; and energy scheduling, state monitoring and remote control are realized through communication connection, so that the power supply reliability and the operation safety of the system under extreme working conditions are improved.

Multi-source data of a rotor surface temperature value Tzz, a temperature value Dz of a stator coil, a resistance value of the stator coil, a voltage value I of the stator coil, a bearing vibration frequency and a bearing rotation speed of the permanent magnet synchronous motor are acquired, calculation accuracy is improved, a magnetic coefficient Tcd, a thermal short-circuit coefficient Dxs of the stator coil and a bearing wear vibration coefficient Zdxs are calculated respectively, and the stability of the permanent magnet synchronous motor is improved. And the fault of the permanent magnet synchronous motor is diagnosed through evaluation and analysis. A fault diagnosis recognition coefficient Sbx is obtained through comprehensive analysis and calculation, key fault parameters of the permanent magnet synchronous motor are comprehensively analyzed, and the fault diagnosis precision is remarkably improved; the fault diagnosis identification coefficient Sbx is analyzed and evaluated and is finally substituted into the unsupervised learning model; an efficient and reliable solution is provided for deep learning of fault diagnosis, operation monitoring and maintenance of the permanent magnet synchronous motor, and the method has important engineering application value and popularization significance.

The invention belongs to the technical field of wind power prediction, and provides a double-layer cascade wind power prediction method and system based on TransformerEncoder, and the method comprises the steps: a fusion variable selection module comprises a Pearson correlation coefficient and an XGBoost regression model; the data processing module preprocesses the input original data to obtain normalized data; a fusion variable selection module screens normalized data, a Pearson correlation coefficient quantifies a linear relation of the normalized data, an XGBoost regression model captures a nonlinear relation, and a correlation feature sequence is obtained through fusion; and the model construction and prediction module processes the related feature sequence, predicts and optimizes a power value, and outputs an optimized power prediction value. According to the method, efficient screening of key variables is realized, change rules of meteorological data, fan speed data and power data are effectively identified, redundant variables are effectively reduced, the complexity of the model is reduced, dynamic characteristics of a wind power system can be better understood and learned, and higher precision and stability are shown in an actual prediction task.

The invention discloses a wind power generation system model prediction control method and device based on event triggering. The method comprises the following steps: establishing a wind power generation system model; based on the wind power generation system model, whether an event triggering mechanism is activated or not is judged according to the deviation between the current state and the target state of the system and the maximum sampling interval time; designing an LMPC algorithm based on event triggering: if an event triggering mechanism is activated, solving an optimization problem in a finite time domain to obtain an optimal control sequence of the system, and fusing Lyapunov function constraint to ensure the closed-loop stability of the system; wherein the optimization problem takes a minimum weighted sum of a system output tracking error and a control input variable quantity as a target; and deploying the LMPC algorithm based on event triggering into a control device of the wind power generation system so as to realize optimal control of the wind power generation system. The stability and robustness of the wind power generation control system can be effectively improved.

The invention discloses a control method, device, equipment, medium and product of a network-forming type permanent magnet wind power system, and the method comprises the steps: calculating the maximum wind energy tracking power outputted by the network-forming type permanent magnet wind power system under the optimal wind energy tracking based on the maximum wind energy tracking coefficient; calculating a direct-current voltage damping control coefficient of a side damping controller according to the inertia coefficient and the damping coefficient of the direct-current voltage; calculating an electromagnetic power reference value output by the permanent magnet synchronous generator according to the maximum wind energy tracking power and the DC voltage damping control coefficient; and subtracting the electromagnetic power reference value from the electromagnetic power actual value, and inputting the difference value into a machine side active power controller so as to adjust the electromagnetic power output by the permanent magnet synchronous generator. According to the method, on the basis of not adding hardware equipment, the transient stability of the grid-forming type permanent magnet wind power system during the short-circuit fault period of the power grid can be remarkably improved only by changing the control strategy of the machine-side converter of the grid-forming type permanent magnet wind power system.

The invention discloses an open-circuit fault diagnosis method and system based on cooperation of a current residual error and a zero-sequence circulating current, and relates to the technical field of fault diagnosis of a deep-sea wind power system. The method comprises the following steps: establishing a continuous time model based on two parallel two-level wind power converters in a wind power parallel conversion system; performing predictive current control according to the continuous time model, and calculating a current residual error; setting a residual threshold value, starting a window statistical mode based on the converters which trigger residual threshold crossing for the first time, and recording the residual threshold crossing state of each converter by using a plurality of windows; and carrying out open-circuit fault diagnosis and positioning on the wind power parallel conversion system according to the residual threshold crossing state and the zero-sequence circulating current direction information. According to the invention, rapid detection and accurate positioning of the open-circuit fault of the power device in the wind power parallel converter system are realized.

The invention relates to the field of wind power generation system fault diagnosis, in particular to a wind power generation system fault diagnosis method and system based on multi-source data fusion. The method comprises the following steps: acquiring an original vibration signal in a wind power generation transmission system, and preprocessing the original vibration signal to obtain a two-dimensional frequency diagram of an original domain data sample; constructing a residual network based on separation attention mechanism optimization as a classifier, and obtaining a migration diagnosis teacher model for a target domain through a conditional domain adversarial migration method; a mask information entropy knowledge distillation strategy is adopted, an information entropy graph output by the teacher model is calculated and multiplied by a target area mask, and refined knowledge is migrated to a lightweight student model; and inputting the to-be-tested data sample of the target domain into the lightweight student model to obtain a diagnosis result. The invention aims to provide a wind power generation system fault diagnosis method and system based on multi-source data fusion, and solves the problems that fault data of a wind power generation transmission system is scarce and model calculation resources are limited.

The invention discloses a high-altitude wind power generation system which comprises a main air bag extending in the front-back direction, and the peripheral face of the main air bag is a rotary face; the ring wing sleeves the radial outer side of the main air bag and is spaced from the main air bag, and a duct space is formed between the inner wall of the ring wing and the outer wall of the main air bag; the first supporting frame and the second supporting frame are sequentially arranged on the radial outer side of the main air bag in a sleeving mode in the axial direction of the main air bag; the wind power assembly is mounted on the first supporting frame; the first supporting frame comprises a plurality of supporting units, an annular supporting frame with an inner ring and an outer ring is defined by the multiple supporting units, the annular supporting frame comprises ducts formed between the adjacent supporting units, and the wind power assembly is installed in the ducts; the second supporting frame is of an annular grid truss structure and comprises a main body frame and truss rod pieces assembled in the main body frame through truss nodes, and the truss rod pieces and the truss nodes are modularly expanded to form the grid truss structure.

The present invention provides a floating wind power generation, energy storage, and gyroscopic stabilization system and control method. Based on the gyroscopic characteristics, the gyroscopic fixed axis, and the principle of object stability with low potential energy, and taking into account the need for energy storage, the system uses energy storage batteries as counterweights for the gyroscopic stabilization platform. This increases the mass of the gyroscopic stabilization platform, lowers the center of gravity of the floating wind power generation system, and improves the structural damping stability of the floating wind power generation system. The charging and discharging of the energy storage batteries also enhances the stability of the power grid. The relative displacement of the floating and semi-submersible buoys drives the reciprocating motion of the traction cable, driving the gyroscopic stabilization unit to generate rotational inertia. The system utilizes the flywheel principle to rapidly support the power grid, control the 360-degree pan / tilt platform, and three-dimensionally control the electric propeller, generating reverse thrust to suppress excessive water fluctuations.

The invention provides a subsynchronous oscillation monitoring system and method for a wind power generation system, and the system comprises a signal collection module which is used for obtaining an output current parameter and a power grid interface voltage parameter in a target wind power plant region, and generating a current and voltage monitoring value; the feature extraction module is used for extracting oscillation frequency parameters and oscillation feature parameter values based on the current and voltage monitoring values; the dynamic threshold module is used for acquiring a power grid load parameter and a wind speed parameter and generating a dynamic threshold parameter value through weighted calculation; the state judgment module is used for performing state logic judgment based on the oscillation frequency parameter and the dynamic threshold value to obtain an oscillation state judgment value; and the result output module is used for generating a monitoring alarm signal value based on the oscillation state judgment value. According to the method, dynamic environment response and accurate feature extraction can be combined, the monitoring sensitivity and reliability are enhanced, the misjudgment probability caused by external interference is reduced, the protection action accuracy is optimized, and stable operation of a power grid is guaranteed.

The invention provides a risk identification method for a wind power system, and relates to the technical field of electric power safety supervision data processing, and the method comprises the steps: collecting control instruction sending and receiving timestamp data from a wind power system network communication link, recognizing a transmission time consumption value of each control instruction, and building a communication performance data set; based on the communication performance data set, obtaining timestamp records of equipment response and adjustment completion from the execution module, calculating a time difference value between instruction issuing and equipment adjustment completion, and forming a system response efficiency index library; and establishing an attack risk classification model based on the network security abnormal mode library, analyzing the offset of the power set value of the wind turbine generator and the data mode of the change frequency of the control instruction through the attack risk classification model, identifying different types of network security threats, and generating a security risk classification file.

A diversely useful wind power generation system for use with an existing structure such as a building. The system has one or more wind capture funnels located at a first location of the existing structure such as at or adjacent its roof. An air pressure powered rotor mechanically coupled to a generator at a second location of the existing structure, such as inside or at ground level. A conduit fluidly connects the one or more wind capture funnels at the first location to the air pressure powered rotor at the second location of the existing structure.

The invention discloses a multi-frequency subsynchronous oscillation self-adaptive suppression method for a doubly-fed wind power generation system, and belongs to the technical field of power system stability control. The invention aims to solve the problem that an existing method only suppresses single oscillation frequency and cannot guarantee stable operation of a wind turbine generator and a power grid. Comprising the steps that discrete current signals of the double-fed wind power generation system are collected, a sparse Fourier observer is used for sequentially conducting frequency spectrum rearrangement, window function filtering, frequency domain down-sampling and fast Fourier transformation, positioning circulation and valuation circulation on the discrete current signals, and the frequency and amplitude of subsynchronous oscillation components of the double-fed wind power generation system are obtained; a parallel multi-frequency self-adaptive wave trap is connected into a rotor side converter control loop of the doubly-fed wind power generation system, parameters of the wave trap are dynamically adjusted, and a suppression signal opposite to a subsynchronous oscillation component is output to filter out the subsynchronous oscillation component. According to the invention, the subsynchronous oscillation of the power system can be effectively suppressed under the condition of high-proportion new energy access.

The invention discloses a floating wind power generation device and a wind power generation system using an airflow injection effect, the floating wind power generation device comprises a main bag body, the main bag body extends along the front-back direction, the peripheral surface of the main bag body is a rotary surface, and the diameter of the main bag body is gradually increased and then gradually reduced from front to back; the first ring wing sleeves the outer side of the main bag body, and a first channel is formed between the inner wall of the first ring wing and the outer wall of the main bag body; the second ring wing sleeves the outer side of the main bag body, and a second channel is formed between the inner wall of the second ring wing and the outer wall of the main bag body; the fan blade assembly is arranged in the first channel; the second ring wing is located on the rear side of the maximum-diameter position of the main bag body in the front-back direction, the first ring wing is located between the maximum-diameter position of the main bag body and the second ring wing, the rear end of the first ring wing extends into the second ring wing, and the second channel comprises a jet flow channel area located between the outer wall of the first ring wing and the inner wall of the second ring wing; the jet flow channel area is in an inward contraction trend from front to back, and the rear end of the first channel and the inner wall of the second ring wing form an emergent end of the jet flow channel area.