532 results about "Generator control" patented technology

The invention relates to the technical field of generator control, and particularly discloses an SVG static var generator control method and system, and the method comprises the steps: constructing a reactive-voltage sensitivity matrix containing a node sensitivity weight based on the real-time measurement data of a power grid, and obtaining a node sensitivity matrix; a dynamic sorting strategy of device priority grading is generated, a distributed compensation priority queue of all devices is obtained, and the devices comprise an SVG cluster and a photovoltaic inverter cluster; executing reactive power distribution under a capacity constraint condition based on the distributed compensation priority queue, and generating a target reactive power compensation amount with the capacity constraint condition; generating a hierarchical coordination control instruction of the SVG and the inverter according to the target reactive compensation amount, and obtaining a hierarchical control instruction set; executing the distributed cooperative compensation driven by the hierarchical control instruction set, and completing the dynamic regulation of the power grid voltage; the reactive power regulation capability of different devices in a power grid can be fully utilized, the accuracy and response speed of reactive power distribution are improved, and resource waste and excessive compensation are avoided.

The invention discloses a cooperative control method for conversion of torque control and rotating speed control of an engine and a generator and a medium. The method comprises the following steps: calculating available recovery torque of a generator, and requesting an engine to load reserve torque by a vehicle control unit; activating an engine rotation speed control flag bit, an engine control rotation speed mode and a generator control torque mode; determining a target rotating speed and a target torque, further determining a generator torque filtering rate, and respectively controlling and adjusting the rotating speed and the torque; and exiting the engine rotation speed control flag bit, the engine control torque mode and the generator control rotation speed mode. By increasing the reserve torque of the engine, the torque adjusting capacity of the engine is improved, the engine and the generator are cooperatively controlled, and engine speed fluctuation is reduced.

The invention discloses a synchronous generator excitation method based on mathematical modeling and gain scheduling, and relates to the technical field of synchronous generator control, and the method comprises the steps: building a synchronous generator global dynamic mathematical model comprising the electromagnetic dynamic characteristics of a stator winding, a rotor winding and a damping winding through a modeling module; a discretization simulation platform is constructed in a Matlab / Simulink environment by utilizing a simulation module, model parameters are corrected, dynamic adjustment is realized through a gain scheduling excitation controller, an automatic voltage regulator (AVR) adopts PID (Proportion Integration Differentiation) control and comprises a voltage deviation integral separation strategy, and a power system stabilizer (PSS) dynamically adjusts parameters of a lead-lag compensator based on active power. According to the method, the deviation between a model and an actual system can be reduced by more than 30%, the electromechanical oscillation damping ratio within the rated power range of 10%-150% is increased by 25%-40%, the harmonic content of exciting current is reduced to be lower than 5%, the stability of an electric power system and the electric energy quality are remarkably improved, the engineering practicability is high, and the method is easy to transform and upgrade on an existing synchronous generator.

The invention discloses a short-circuit current limiting and short-circuit recovery transient voltage control device and method for an aviation three-stage power generation system, and the device comprises a three-stage power generator, a power generator controller, a current sensor, a voltage and current collection module, and an asymmetric half-bridge excitation control circuit. Collecting the output current iL and voltage UL of the generator through a digital processor of the generator controller; when short circuit occurs, the given voltage USet of the voltage regulating loop is linearly reduced in a piecewise mode according to the relation between the iL and a preset threshold value, so that the generator works in a constant power interval; and when the short circuit is recovered, closing the upper / lower power tubes of the asymmetric half-bridge excitation control circuit according to the relationship between UL and a preset threshold value in a grading manner, and triggering a negative-pressure follow-current mode of a main excitation winding of the generator controller to quickly extinguish the field. The method can adapt to different generators without adjusting hardware circuit parameters, has no motor ablation risk during short circuit, has transient voltage less than 350V after short circuit recovery, has no power supply interruption in the whole process, has response delay less than 1ms, and greatly improves the safety and robustness of an aviation power supply and distribution system.

The invention relates to the technical field of wind driven generator control, in particular to a thermal management system and method for a wind driven generator, and the system comprises a data collection layer, a prediction module, a digital twin model, an intelligent control and diagnosis engine, and a heat dissipation execution mechanism. In the prior art, an open-loop or simple feedback control scheme based on a real-time temperature threshold value is mainly adopted, the problem of response lag exists, and all heat dissipation parts always work independently and lack cooperation, so that the energy efficiency is low; according to the invention, a closed-loop intelligent thermal management scheme based on a digital twin model is adopted, and real-time simulation and future state prediction are carried out by constructing virtual mapping of a generator thermal system, so that a control system can actively and cooperatively manage all heat dissipation resources according to a simulation result; the method has the core advantage of converting passive into active, and can intervene in advance before excessive accumulation of heat, so that collaborative optimal control of all parts of the system is realized, and the accuracy, timeliness and overall energy efficiency of heat management are remarkably improved.

The invention provides a range extender anti-reverse control method, device and system, a medium and a program product, and relates to the technical field of new energy vehicles. The method comprises the steps that a power generation power request sent by a vehicle control unit is received; determining a rotating speed instruction and a torque instruction according to the generated power request; the rotating speed instruction is sent to an engine controller to control the rotating speed of an engine, and the torque in the torque instruction and the smaller value in the external characteristic torque, corresponding to the rotating speed in the rotating speed instruction, of the engine are sent to a generator controller to control the torque of a generator; and according to the load percentage, fed back by the engine controller, of the engine at the current rotating speed, torque amplitude limiting control is conducted on the generator.

The invention provides a digital twin modeling method and device for a wind turbine generator control system, and relates to the technical field of new energy, and the method comprises the steps: constructing a multi-physical field mechanism model of the wind turbine generator control system according to obtained aerodynamic characteristic parameters, mechanical characteristic parameters and electrical characteristic parameters; performing comparative analysis based on the multi-physics field mechanism model and the preprocessed operation data to generate deviation data; if the deviation data is greater than a preset first threshold value, performing deviation prediction through a pre-trained deviation prediction model based on the preprocessed operation data, and generating a deviation correction value; and correcting a simulation result of the multi-physics field mechanism model by using the deviation correction value to form a data-mechanism dual-driven digital twinborn model. According to the digital twinning modeling method and device for the wind turbine generator control system, the output precision and environmental adaptability of the wind turbine generator digital twinning system under various working conditions are effectively improved, and the fitting ability and continuous stability of the model to the actual operation state are enhanced.

The invention discloses a gas generator frequent starting system without a starting motor and an implementation method, and belongs to the technical field of generator control. The gas generator frequent starting system comprises a charging and discharging circuit, a charging control circuit and a discharging control circuit; the storage battery is connected with an inverter and a plurality of super capacitors through a normally open contact of the relay, each super capacitor is connected with a coil of a solid-state relay, the storage battery is further connected with a rectification voltage stabilizer, the inverter and the rectification voltage stabilizer are connected with a coil of a gas generator, the coil of the gas generator is further connected with a coil KMC-0 of an 8 # relay, and the coil KMC-0 of the 8 # relay is connected with the storage battery. A starting mode of directly driving a generator coil is adopted, an external starting motor is not needed, and therefore the problems that a conventional starter slips, cannot be separated and is abraded are solved.

The invention relates to the technical field of process control, in particular to an in-cylinder direct injection methanol generator combustion system control method based on multi-objective optimization, which comprises the following steps: acquiring multi-source sensor data of a methanol generator, performing feature extraction and evaluation on the multi-source sensor data, and generating a control weight distribution matrix; performing weighted fusion by using the control weight distribution matrix to obtain a fusion control vector; the method comprises the following steps: constructing an in-cylinder process control model, adaptively adjusting model parameters in combination with physicochemical characteristics of methanol fuel and in-cylinder combustion characteristics, comprehensively evaluating energy conversion efficiency, emission level and operation stability by adopting a multi-objective optimization algorithm based on the process control model and in combination with real-time working condition data, and carrying out iterative search on a Pareto optimal solution set. Dynamically generating adaptive control parameters; and generating a control instruction according to the self-adaptive control parameters, and adjusting the operation parameters of the methanol generator in real time. Accurate control over the combustion system is achieved by dynamically adjusting the control parameters of the methanol generator.

The invention discloses a dynamic power generation control method and system for a generator, and belongs to the technical field of generator control, and the method comprises the steps: receiving a generator output parameter collected in real time and an operation parameter of first equipment, predicting the load demand of the generator, and obtaining the predicted load power of a period of time in the future; establishing a composite control strategy, taking the predicted load power as the input of feed-forward control, forming a composite control loop with the output power feedback of the generator, and generating an execution instruction; the generator is controlled to operate according to the execution instruction, and self-adaptive fusion execution is carried out; and carrying out statistical analysis on the prediction error sequence and the control response characteristics. In the implementation process of the technical scheme, the prediction load power is obtained, the execution instruction is generated based on the prediction load power, and then adaptive fusion execution is performed in a credibility prediction mode, so that the prediction process participates in the execution process, and the control response speed of the generator is improved.

The invention relates to the technical field of generator control, and discloses an intelligent vehicle-mounted high-power self-generating control method and system. The method comprises the following steps: acquiring operating parameters of a generator set, performing high-precision digital processing, realizing constant-rotating-speed control through cooperation of multiple controllers based on a rotating-speed fluctuation characteristic value, performing power factor correction through coordinate transformation and active rectification to obtain a direct-current bus voltage, performing precise voltage stabilization by adopting a multi-phase interleaving converter, and outputting the direct-current bus voltage. And finally, outputting a high-quality three-phase alternating-current power supply through space vector modulation and closed-loop feedback control. The technical problems in the prior art that the power supply quality control capability is insufficient, the intelligent level is low, the environmental adaptability is poor, the load adaptability is limited, and the maneuverability is limited are solved.

The invention relates to the technical field of generator control, and discloses an emergency control method, device and equipment for a generator set controller and a medium, the same generator set at least comprises two generator controllers, the method is applied to any current generator controller in the generator set, and the method comprises the following steps: determining whether a target generator controller has a fault or not; the target generator controller is another generator controller in the generator set; if the target generator controller breaks down, power supply of the target generator controller is cut off, and input of a first current and voltage signal and output of a control signal based on a target generator are conducted; and accessing the first current and voltage signal, and carrying out parallel operation control on the target generator and the current generator. According to the invention, the generator controlled by the faulty generator controller can be restarted to solve related faults caused by the faulty generator controller, and the normal generator controller automatically carries out parallel operation control on all generators without manpower, so that the operation reliability of the system is improved.

The present invention relates to the technical field of wind turbine control. Disclosed are a state-of-health diagnosis and control method and system for a backup power supply, and a device and a medium. The method comprises the following steps: S1, detecting in real time detection instructions for a backup power supply during the normal operation of a variable-pitch system, wherein the detection instructions comprise an external detection instruction and a self-detection instruction; S2, after the variable-pitch system receives the detection instructions, triggering a blade detection condition, starting to monitor system parameters of the variable-pitch system, and calculating the real-time output of the backup power supply; and S3, on the basis of the system parameters obtained from monitoring, and a calculation result, evaluating the health diagnosis type of the backup power supply and the battery state-of-health of same, and issuing a control instruction for the variable-pitch system. In the present invention, by means of dynamically detecting the operation of a blade, the state of health of a backup power supply for a variable-pitch system is evaluated more directly and effectively, thereby effectively ensuring the safety of a wind turbine in an abnormal power supply situation and thus making detection more accurate and reliable.

The invention discloses a multi-directional deep learning-based network construction type wind turbine generator control method and system. The method comprises the following steps: S1, obtaining parameters of a network construction type wind turbine generator; s2, establishing a linearized state space model of the network construction type wind turbine generator according to the parameters of the network construction type wind turbine generator; s3, constructing a multi-directional gating circulation unit neural network, training the multi-directional gating circulation unit neural network, and outputting a model compensation amount to correct the linearized state space model of the network construction type wind turbine generator; and S4, establishing a quadratic programming cost function by minimizing the output frequency deviation and the reactive power deviation of the network construction type wind turbine generator, and obtaining an optimal control instruction of the network construction type wind turbine generator by solving an optimal solution of a quadratic programming problem and performing rolling optimization based on the corrected linearized state space model of the network construction type wind turbine generator. The method has the advantages of improving control precision and dynamic response speed and the like.

The invention discloses a new energy fracturing truck pump flow control system and method and a fracturing truck, and belongs to the technical field of new energy petroleum equipment.The new energy fracturing truck pump flow control method comprises the steps that pump target flow parameters and an engine mode are received; calculating the target rotating speed of the pump motor, and sending the target rotating speed of the pump motor to a pump main motor controller; the feedback real-time torque value and real-time rotating speed are received and sent to the pump slave motor controller; calculating the total input target power of the pump motor; calculating a generator output target total power based on the pump motor input target total power; determining a generator target speed based on the engine mode and the generator output target total power; based on the generator output target total power, calculating generator input target total power; and calculating a generator target torque based on the generator input target total power and the generator target speed, and sending the generator target torque to a generator controller. According to the invention, pump flow multi-mode control or / and stepless real-time intelligent flow regulation is realized.

The invention provides a wind turbine generator master control system software and hardware security and credibility mutual recognition measurement mechanism and method, and relates to the field of wind turbine generator control, and the method comprises the following steps: carrying out the hierarchical division of a wind turbine generator master control system, and carrying out the behavior measurement of all hierarchies according to the division result; the method comprises the following steps of: performing hierarchical bidirectional authentication on each hierarchy of a main control system of a wind turbine generator by combining a data link layer encryption technology on the basis of a cross-hierarchy credible mutual recognition mechanism; based on a cross-equipment-level credible mutual recognition mechanism, carrying out equipment-level identity bidirectional authentication between a main control system and a peripheral system of the wind turbine generator; and the change conditions of the behavior measurement result, the hierarchical authentication result and the equipment-level authentication result are tracked in real time, the credible state of the main control system of the wind turbine generator is evaluated, and a response strategy is dynamically executed according to the evaluation result. According to the method, the security problems of hardware tampering, software malicious injection, cross-device communication hijacking and the like can be solved, and meanwhile, the industrial control requirements of real-time performance and low resource occupation are met.

The invention discloses a virtual synchronous generator low voltage ride through control method based on adaptive power compensation. The self-adaptive power compensation-based virtual synchronous generator low-voltage ride-through control method comprises the following steps of establishing a virtual generator control equation of an energy storage converter; a self-adaptive power compensation controller is constructed, and a virtual synchronous generator control equation based on self-adaptive power compensation is obtained; a compensation amount calculation equation of self-adaptive active power and self-adaptive reactive power is obtained through calculation of a self-adaptive power compensation controller; and during low voltage ride-through, calculating the compensation amounts of the adaptive active power and the adaptive reactive power, compensating the compensation amounts to the virtual synchronous generator control equation based on adaptive power compensation, and adjusting the energy storage converter to output the active power and the reactive power. The invention provides a virtual synchronous generator low-voltage ride-through control method based on adaptive power compensation. The output overcurrent of a converter can be effectively reduced during low-voltage ride-through.

The invention belongs to the technical field of range extender control, and provides a range extender mode switching control method and system, a range extender and an electric vehicle in order to solve the switching stability problem. The control mode for controlling the engine is converted into a target switching control mode, and the required rotating speed of the engine is the current required value; the generator is controlled to keep the previous control mode, and the generator rotating speed demand value is the current demand value; keeping the engine and generator control mode unchanged, and performing unauthorized control to enable the engine required speed to be higher than the generator required speed; when the actual torque value of the engine is larger than or equal to the set value, the generator is controlled to be in a target switching control mode, and the required torque of the generator is gradually transited to the current power generation required torque value from the actual torque value of the engine; and completing mode switching control. Stable transition of the rotating speed in the switching process can be ensured, the service life of the coupling of the range extender is prolonged, and the driving comfort is improved.

Systems, method, and computer readable medium are provided for a controller for a generator. The system includes a rectifier for converting a first AC signal generated by the generator to a first DC signal; a first DC-DC associated with energy storage and a first mode; a second DC-DC associated with an inverter and a second mode; a switch for alternately toggling between the first DC-DC and the second DC-DC, wherein the first mode prevents output to the electrical grid, and the second mode enables inversion of the second DC signal to a second AC signal via the inverter; and a processor that uses the indicator to operate the switch to operate the generator in the first mode when a connection to the grid does not conform with a parameter, and operate the generator in the second mode when the connection to the grid conforms with the parameter.

The invention belongs to the technical field of new energy wind generating set control, and particularly relates to a shutdown control method for a wind generating set, and the method comprises the steps: obtaining the shutdown information of the wind generating set, and judging whether the shutdown is flexible shutdown or not according to the shutdown information; when the shutdown control mode is flexible control shutdown, a mode of combining rotating speed-variable pitch closed-loop control and converter torque open-loop control is adopted; when the shutdown control mode is emergency control shutdown, a variable pitch-engine torque control mode is adopted; the mode of combining rotating speed-variable pitch closed-loop control and converter torque open-loop control comprises the steps that unnecessary load peak values are experienced in the shutdown process, different shutdown variable pitch and torque control strategies can be selected according to the operation state of the unit, the overspeed problem in the shutdown process is effectively prevented, the safety of the unit is achieved, and the service life of the unit is prolonged. And a stable and soft shutdown process is achieved, the fatigue load of the unit is effectively reduced, and the effect of safe and reliable shutdown of the unit is achieved.

The invention discloses a generator control system operation reliability analysis method based on RCM, and belongs to the technical field of power equipment reliability management, and the method comprises the steps: determining the boundary of a generator control system based on the performance standard of functional elements, and dividing functional subsystems; identifying a failure mode type of each functional subsystem through FMEA, and generating a minimum failure set in combination with a redundancy check strategy; performing risk scoring on the failure mode of each functional subsystem based on multiple influence dimensions by using the minimum failure set, and generating a risk priority matrix in combination with historical shutdown loss data; dividing risk levels according to the risk priority matrix, and matching the risk levels with a repair strategy of a failure mode type; and integrating real-time state data of the equipment, verifying a repair strategy through Monte Carlo simulation, and iteratively correcting a minimum failure set and a risk score.

The invention discloses a generator control method and system based on bionic eddy current regulation and control and magnetic variable pitch. The generator control method based on bionic vortex regulation and control and magnetic variable pitch comprises the steps that the wind speed is obtained, a variable geometric vortex generator is regulated and controlled according to the wind speed, when the wind speed is smaller than a first preset wind speed, the height of a fin of the variable geometric vortex generator is increased, and when the wind speed is larger than a second preset wind speed, the height of the fin is reduced. The first preset wind speed is smaller than the second preset wind speed; pressure distribution on the surface of the blade is obtained, when the pressure distribution on the surface of the blade is abnormal, the deformation area is positioned, and the bionic self-adaptive deformation structure is controlled to conduct self-adaptive deformation in the deformation area so as to guide airflow attachment; according to the wind speed and the pressure distribution on the surfaces of the blades, the magnetostriction variable pitch system is controlled to drive the blades to change the angles and the lengths, and according to the embodiment of the invention, the environmental adaptability, the reliability and the working efficiency of the wind driven generator can be effectively improved.

The embodiment of the invention provides an offshore wind field simulation and wind turbine generator control system and method and a wind turbine generator, and the system comprises a data preprocessing module which is used for carrying out format conversion, projection transformation and quality control on multi-source heterogeneous meteorological data; the data fusion module is used for performing intelligent fusion on the preprocessed multi-source heterogeneous meteorological data to generate three-dimensional fusion field data; the mode adjusting module is used for dynamically optimizing a data fusion strategy based on the sea condition change; the resolution conversion module is used for performing temporal-spatial resolution conversion on the three-dimensional fusion field data to generate refined three-dimensional wind field data; and the zone control module is used for performing zone division on the wind field based on the refined three-dimensional wind field data, generating differential yaw control strategies of the corresponding zones according to related data and zone characteristics of each zone, and driving a unit to execute the yaw control strategies. The wind field simulation precision and the adaptability to complex sea conditions are improved, and wind energy capture and equipment loads are balanced through a differential yaw strategy.

The invention provides a blade root load calibration data monitoring method, system and device and a medium, and belongs to the technical field of wind turbine generator control, and the method comprises the steps: carrying out the iteration of a generator set load according to a wind resource parameter and an IEC load calculation standard, and obtaining a maximum design value of the blade root load of the generator set; carrying out coordinate transformation on the load and carrying out moving mean filtering processing on the load signal; the mean value of the blade root loads of the three blades and the difference between the blade root load of each blade and the mean value of the blade root loads of the three blades are calculated; comparing and judging the difference value with a theoretical maximum value of the blade root flapping direction load, and judging whether the difference value is greater than a load deviation alarm threshold value or not; if yes, a fan fault alarm is given out, and variable pitch optimization action is executed according to the load deviation checking pitch angle limit table. According to the method, the blade root load calibration data can be monitored, the running state of the fan can be continuously optimized, the load deviation is reduced, and the safety and stability of the fan are improved.

The invention belongs to the technical field of new energy power generation, and particularly relates to a new energy synchronous generator control method and device, equipment and a medium. Aiming at the problem of weak dynamic response capability caused by insufficient physical inertia and power coupling of the new energy synchronous generator, the method comprises the following steps of: calculating instantaneous active power, reactive power and power factor angles by collecting grid-connected side voltage and current of an open winding motor; based on inertia enhancement control of rotor speed differential feedback, the active compensation amount is dynamically adjusted, and equivalent inertia amplification is realized; the excitation voltage is adjusted by combining apparent power droop control so as to adaptively adjust the internal potential of the open winding motor, and the fault ride-through capability is improved; through power factor angle droop and reactive PI compound control, decoupling adjustment of the voltage amplitude and phase of the converter is realized, and power coupling oscillation is suppressed. The inertia supporting capacity, the dynamic response speed and the operation range of the new energy synchronous generator can be improved, and the active supporting characteristics of the power grid frequency and voltage are enhanced.

The invention provides a control method and device of a micro-nano bubble generator, and relates to the technical field of bubble generator control, and the main points of the technical scheme are that in the water treatment process of organic pollutants, monitoring data of the turbulence intensity, the bubble interface strength and the oxyradical concentration of the micro-nano bubble generator are obtained; on the basis of the monitoring data, when it is judged that the current system state deviates from a preset target system state, control decision information is generated; and according to the control decision information, controlling the vibration frequency and the gas flow parameter of a micro-nano bubble generator and the injection amount of an interfacial active agent so as to realize the interface stability control of micro-nano bubbles and the stable output of oxyradicals under the flow velocity gradient of 0.5-1.2 m / s. The control method and device of the micro-nano bubble generator have the advantages that the bubble stability can be effectively maintained in a complex water treatment environment, and the pollutant degradation rate is increased.

The invention discloses a motor controller MCU integrated with a vehicle-mounted DCDC control system, which comprises a motor control MCU integrated with a DCDC control module, the DCDC control module shares a power supply, a clock and a reset resource of the motor control MCU, and the motor control MCU and the DCDC control module share a KL15 hard wire wake-up circuit and a CAN communication circuit. The KL15 hard wire wake-up circuit is connected to an I / O interface of the motor control MCU and triggers the motor control MCU and the DCDC control module to wake up or sleep by detecting level change; and the CAN communication circuit is connected to a CAN interface of the motor control MCU and is used for transmitting control instructions and state information to the vehicle control unit and each electronic control unit. Through hardware resource reuse and software architecture optimization, the system cost is effectively reduced, and the dynamic response speed is improved.

There is described a device and a method for mounting or dismounting at least one rotor blade (6) on or from a rotor (4) of a wind turbine (1), the wind turbine (1) comprising: an external power source; a generator (5) of the wind turbine (1), the generator (5) comprising a frequency converter and being mechanically connected to the rotor (4) and electrically connected by the frequency converter to an external power source for supplying power to the generator (5) to rotate the rotor (4); and a control device configured to control the generator (5). The generator (5) is controlled to rotate the rotor (4) to a predetermined position. When the rotor (4) is located at a predetermined position, the blades (6) are attached to or detached from the rotor (4).

The invention provides a wind turbine generator control method based on wind conditions. The wind turbine generator control method comprises the steps that operation data and wind condition data of a wind turbine generator are obtained; preprocessing the operation data and the wind regime data; performing feature extraction on the preprocessed operation data and wind regime data to obtain operation feature data and wind regime feature data; identifying a wind regime type represented by the wind regime feature data; when the wind regime characteristic data represents that the current wind regime is a preset wind regime type, a corresponding unit control rule is selected in combination with the preset wind regime type and the operation characteristic data; the wind turbine generator is controlled based on the generator set control rule, the adaptive capacity of the wind turbine generator under the complex wind condition can be effectively improved, through dynamic feature recognition and self-adaptive control strategy selection, the operation safety of the generator set is guaranteed, the power generation efficiency is maintained, the technical defects of response lag and single strategy are avoided, and the method is suitable for large-scale popularization and application. And intelligentization and refinement of the control strategy of the wind turbine generator are realized.

The invention relates to the technical field of wind turbine generator management, in particular to a wind turbine generator control method and system based on component interaction influence analysis, and the method comprises the steps: collecting the multi-source operation data of a wind turbine generator impeller system and a gear box system and the turbulence intensity of a wind field in real time; based on the multi-source operation data, calculating a dynamic interaction influence index between the impeller and the gearbox; according to the dynamic interaction influence index and the turbulence intensity of the wind field, judging whether the wind turbine is in a low-interaction influence working condition or a high-interaction influence working condition currently; when it is judged that the working condition is the low-interaction-influence working condition, a first control strategy based on historical optimal parameters is adopted to control the wind turbine; when it is judged that the working condition is the high-interaction-influence working condition, a second control strategy based on the prediction model is adopted to control the wind turbine; the dynamic interaction influence of the impeller and the gearbox can be evaluated in real time, and grading self-adaptive control is achieved accordingly.