613 results about "Power limits" patented technology

The invention discloses a self-generating and self-using distributed photovoltaic power station power anti-countercurrent control method and system, and relates to the technical field of photovoltaic anti-countercurrent control, and the method comprises the steps: obtaining the real-time load power of a grid-connected point of a power grid and the output power of a photovoltaic inverter, and calculating the net load power deviation; when the net load power deviation is smaller than a preset countercurrent risk threshold value, it is judged that a countercurrent risk exists, and an anti-countercurrent adjusting instruction is generated; in response to the anti-countercurrent regulation instruction, dynamically correcting the maximum output power limit value of the photovoltaic inverter, and synchronously activating the charge and discharge compensation mode of the energy storage system; an anti-countercurrent control coefficient is calculated, and the power reduction proportion of the photovoltaic inverter and the compensation power of the energy storage system are synchronously adjusted based on the anti-countercurrent control coefficient, so that the power flow of the grid-connected point of the power grid is kept to be zero or forward flow; according to the method, dynamic and accurate cooperation of photovoltaic reduction and energy storage compensation power in time and magnitude is realized, and the efficiency of a self-generating and self-using distributed photovoltaic power station is improved.

The invention provides a method and system for achieving elevator energy feedback data communication. The method comprises the steps that multi-modal data are collected, and fault features are extracted, encrypted and packaged; and after decryption, phase deviation of elevator operation and power grid voltage is calculated by utilizing an algorithm, a current phase is synchronously fed back, and a feedback instruction is generated. Uploading the harmonic suppression parameter to an energy center, calculating a demand, generating a region-level feedback strategy, dynamically distributing a feedback power upper limit, synchronizing the harmonic suppression parameter, and obtaining region-level feedback data. And aggregating feedback data, and setting a global optimization target, including cost minimization, feedback maximization and carbon emission reduction. And calculating feedback energy and carbon integral according to a target adjustment algorithm, automatically settling to an operator account, and adjusting the target of the next period. Through an algorithm and an optimization mechanism, the problem of energy waste of a brake resistor in a traditional feedback technology is solved, the feedback efficiency is improved, and energy waste is reduced.

The invention relates to a sodium electric energy storage system dynamic partition power control method based on string type cluster level management, which comprises the following steps of: firstly, realizing physical isolation of battery clusters through a string type framework, configuring an independent power conversion module and a cluster level controller for each cluster, acquiring voltage, current, SOC (state of charge) and SOH (state of health) of each cluster in real time, and on the basis of the data, in a discharging or discharging process, determining the state of charge of each cluster; a dynamic partition strategy and automatic adjustment of power distribution are realized according to inter-cluster SOC, SOH, voltage range, temperature range, power limit and other differences, and an energy storage system is dynamically divided into a high-energy high-health area, a high-energy medium-health area, a medium-energy high-health area, a medium-energy medium-health area, a low-energy or sub-health area and a fault early warning area in a discharging and charging mode; and rapid balance of electric quantity among clusters is realized through the converter module, so that power distribution is ensured to meet power grid requirements, overcharge and overdischarge of batteries are avoided, and the service life of a battery system is prolonged.

The invention provides a charging pile dynamic power regulation and control system and method based on multi-parameter coupling. Belongs to the field of charging of charging piles, and comprises the steps that when the total power of a bus reaches a load reduction threshold value, a phase cooperative load reduction strategy is activated, a multi-stage response mechanism is configured through a safety control execution unit, peak clipping and valley filling control is implemented in the time periods t1-t2, and a total load curve is smoothed through time shifting power distribution; and when the power is close to the power limit, the power of the non-emergency charging pile is automatically reduced to a safety threshold, and the equipment utilization rate is intelligently improved in a load sufficient period. And the concurrent access number of the charging piles is maximized on the premise that the bearing limit of the phase lines is not exceeded. The user capacity under the rated load of the charging station is improved, the user charging cost in the time-of-use electricity price period is reduced, the utilization rate of electric power resources is improved, millisecond-level power adjustment response is achieved, the full-time-period compliance of dynamic load limitation on the power grid side is ensured, and the operation benefits, safety and reliability of charging infrastructures are remarkably improved.

Methods and systems for managing power consumption in data processing systems are disclosed. The power consumption in the data processing systems may be managed by obtaining power limits for the data processing systems. The power limits may be determined by computing the power limits from regularly updated parameters of the data processing systems. The data processing systems may include data processing systems that are housed in racks. From the regularly updated parameters, rack power limits may be obtained. Using the regular parameters and the rack power limits, data processing system power limits may be obtained for the data processing systems.

The invention discloses a power grid frequency regulation and control method for a low-inertia power system, and the method comprises the steps: taking the minimum lowest point of the power grid frequency in fluctuation as a first regulation and control target based on frequency response models constructed by frequency modulation resources in the low-inertia power system, taking the lowest total frequency modulation cost of the frequency modulation resources as a second regulation and control target, taking the condition that the lowest point of the fluctuating power grid frequency meets the security constraint as a first constraint condition, and taking the condition that the generated power output by each frequency modulation resource meets the power limit as a second constraint condition; taking a third constraint condition that the total amount of the generated power output by each frequency modulation resource meets the total power requirement of the low-inertia power system, solving to eliminate the frequency deviation and the generated power output by each frequency modulation resource, and the frequency modulation resources comprise a synchronous generator set, a network construction type virtual inertia device and a network following type virtual inertia device. Collaborative optimization of various frequency modulation resources can be realized, and complex dynamic power system requirements can be met.

The invention discloses a control method of a hybrid power system, the hybrid power system and a hybrid excavator. The control method of the hybrid power system comprises the steps that the required power of a hydraulic system, the required power of an electrically-driven rotation system and the current electric quantity of an energy storage module are obtained; the total demand power of the system is calculated according to the demand power of the hydraulic system and the demand power of the electric drive rotation system; determining the working mode of the hybrid power system according to the size relation between the total demand power and a first preset value and the size relation between the current electric quantity of the energy storage module and an electric quantity limit value; when the hybrid power system is in the heavy load mode, the generator motor is controlled to provide power for the hydraulic system; and when the hybrid power system is in the light load mode, the generator motor is controlled to convert part of kinetic energy generated by the engine into electric energy to charge the energy storage module. The system reliability can be enhanced, energy consumption and emission are reduced, and efficient utilization of energy is achieved.

The invention discloses a charging and discharging strategy optimization method for a battery swap station. The method comprises the steps of S1, collecting historical battery swap requirements, battery inventory states and time-of-use electricity price data of the battery swap station; s2, constructing a battery replacement demand prediction model with online parameter updating capability, and outputting a battery replacement demand sequence of a plurality of time steps in the future in a prediction time domain in a rolling manner; s3, calculating the minimum safe inventory required to be maintained for satisfying future service in the prediction time domain, and further determining a dynamic safe operation interval of the battery inventory state; s4, constructing a charging and discharging strategy optimization problem with operation economy as a target, and generating an optimal power decision by combining battery inventory dynamics and power limitation; and S5, solving the charging and discharging strategy optimization model, obtaining a charging and discharging power decision sequence in a prediction time domain, entering a next time step, and repeating the steps S2 to S5. According to the method, the future demand is converted into the inventory hard constraint reflecting the service capability, so that the operation cost is minimized on the premise of ensuring zero interruption of the battery replacement service.

A motor control device is provided in a vehicle equipped with a plurality of motors connected to a battery. The motor control device includes processors corresponding to the motors respectively. Each of the processors derives first power, derives second power, transmits information indicating the second power to another processor, acquires information indicating the second power derived by the another processor, derives third power, acquires fourth power, acquires a power limit value of the battery, derives a control power limit value, distributes the control power limit value to the motor corresponding to the own processor based on an axle torque ratio of the plurality of motors, derives an individual power limit value of the battery for the motor, derives a power correction amount of the first power, corrects the torque instruction value of the motor corresponding to the own processor, and operates the motor according to the corrected torque instruction value.

The invention discloses a charging power dynamic control method and a charging device, and relates to the technical field of charging control, and the method comprises the steps: obtaining a current temperature value and a temperature change rate of a battery in real time, and calculating theoretical required power through combining preset target full charge time and the current temperature value; and the system can more accurately master the real-time state and the charging demand of the battery. Meanwhile, based on a preset temperature safety threshold value, a dynamic power limiting parameter is generated by utilizing the current temperature value and the temperature change rate, the thermal state of the battery is reflected in real time, and the safety of the charging process is ensured. The system adjusts the charging power in real time according to the dynamic power limiting parameters and the theoretical required power, so that the charging efficiency is ensured, and potential safety hazards such as battery overheating are effectively avoided. Besides, when the temperature of the battery is abnormal, the charging power is dynamically adjusted according to the temperature difference value through a sectional type charging power adjusting strategy, so that the battery is protected from being damaged by high temperature, and the charging experience is optimized.

The invention discloses an operation method for improving the utilization rate of a battery discharge power supply for an electro-tricycle, which belongs to the technical field of battery application, and comprises the following steps: S1, electrifying the electro-tricycle, and judging whether a battery type has a communication type through an MCU (Microprogrammed Control Unit), S2, when the battery does not have a communication function, judging whether a current voltage value is greater than a power limit point, and if yes, judging whether the current voltage value is greater than the power limit point; s3, when the battery has a communication function, calculating a battery under-voltage value and a power limiting point according to the number of battery strings, the MCU limits the input power according to the battery voltage provided by the BMS, the SOC and the allowable maximum continuous discharging current, the electric quantity is judged according to the battery voltage, a power reducing point is set, the input power of the MCU is limited, the electric energy utilization rate of the battery discharging tail end is improved, and meanwhile, the battery under-voltage value and the power limiting point are calculated according to the battery string number. In order to realize the soft undervoltage function, the MCU needs to accurately sample the bus voltage, and parameters such as the SOC of the battery and the maximum allowable continuous discharge current are obtained through the communication bus to limit the input power.

According to the doubly-fed wind turbine generator fault ride-through control method and system provided by the invention, a refined interval segmentation mechanism based on a voltage amplitude is introduced, reactive power coefficients under different falling or lifting depths are dynamically adjusted, and reactive power limits of the rotor-side converter and the grid-side converter are combined, so that the fault ride-through control of the doubly-fed wind turbine generator is realized. Reactive power optimal distribution of rotor side priority and network side auxiliary coordination is realized; furthermore, active feed-forward compensation is introduced to the grid side to quickly suppress DC bus voltage fluctuation, and a dynamic amplitude limiting strategy based on a current circle is adopted to the rotor side, so that the risks of rotor overcurrent and DC overvoltage are effectively suppressed while the power grid voltage recovery is supported in a full-force manner, and the reliability of the system is improved. Therefore, the ride-through capability and the operation safety of the doubly-fed wind turbine generator in the power grid fault period are remarkably improved, and reliable technical guarantee is provided for avoiding large-area off-grid of the generator.

The invention provides a fault protection and dynamic limited power control method and system for a 48V electronic water pump. The fault protection and dynamic limited power control method comprises the steps that the preset real-time working current and the real-time pump body temperature of the 48V electronic water pump are obtained; performing weighted fusion calculation on the real-time working current and the real-time pump body temperature to generate a comprehensive state index; comparing the comprehensive state index with a preset water pump reference operation range to judge whether a preset grading response mechanism is triggered or not, and generating a judgment result; when the judgment result is that the grading response mechanism is triggered, calling a power limiting mode corresponding to the comprehensive state index from a preset mode mapping table; and the power limiting mode is applied to adjust the driving power of the preset 48V electronic water pump, and a preset fault protection strategy corresponding to the power limiting mode is executed. According to the invention, refined fault protection and power management of the 48V electronic water pump are realized, the problem of excessive response or insufficient response of a traditional single threshold protection mode is avoided, and the adaptability and reliability of the system under complex working conditions are improved.

A system includes a traction battery and a controller. The traction battery includes first and second arrays of battery cells. The controller is programmed to implement first and second filters, such as first and second bar-delta filters, configured to respectively generate output indicative of a state-of-charge (SOC) of the first and second arrays from models of the first and second arrays. The controller is further programmed to charge and / or discharge the traction battery according to power limits defined by the SOC of the first and second arrays.

The invention relates to a method for preventing thermal runaway of a battery through reinforcement learning. The method comprises the following steps: extracting time series features from collected battery operation states and environment detection information (S1); predicting a thermal runaway risk of the battery based at least on the extracted time series features (S2); the reinforcement learning agent determines, as action, a strategy for intervening in battery thermal runaway based on states including the predicted risk of thermal runaway, a vehicle power limiting state, a battery insulation unit state, a battery cooling system state, and a vehicle operating state (S3). The application also relates to a battery management system, a vehicle and a computer program product. According to the method and the device, the reinforcement learning agent performs dynamic decision optimization on the thermal runaway risk of the battery under various complex working conditions, and the battery safety and the vehicle performance are balanced through a reward mechanism, so that the influence on the vehicle output power and the endurance mileage is reduced as far as possible on the basis of ensuring the battery safety.

The invention relates to the technical field of power distribution control, and discloses a power grid interactive charging pile power intelligent distribution method and system, and the method comprises the following steps: 1, obtaining the power limit of a power grid, the capacity of a transformer, the safety margin and a non-charging load, and calculating the station-level distributable power; 2, collecting user target and vehicle state data, and calculating target reference power; step 3, determining physical upper limits in a classified and segmented manner, comparing and marking limits, and grading to obtain urgency indexes and constraint labels; step 4, performing correlation analysis based on the urgency degree and the constraint, generating a target tracking weight and setting a smoothing coefficient; step 5, under the constraint of distributable power, setting and optimizing a single adjustment parameter to obtain final power; and step 6, applying a climbing speed limit, quantifying and issuing a power instruction, monitoring an equipment state and redistributing the equipment state in an off-line state. According to the invention, the fair, efficient and stable distribution of the multi-session charging demand is realized while the charging pile meets the power grid safety.

The invention relates to the technical field of power equipment inspection data processing methods, in particular to a Grouping-DINO model acceleration method combined with a multi-stage progressive multi-mode distillation mechanism. According to the method, through the whole process of data set construction, lightweight model design, three-stage progressive multi-mode distillation and deployment optimization, the core pain point of electric power inspection is systematically solved. Firstly, a training foundation is built by using an electric power scene adaptive data set, and then a lightweight student model conforming to edge equipment computing power limitation is designed in a targeted manner, so that the problem of computing power mismatching of a general model is avoided; key points are that teacher model capability is migrated by stages by means of a three-stage distillation mechanism, lightweight precision loss is made up in combination with special optimization for an electric power scene, and edge equipment is further adapted through deployment optimization; finally, the technical problem that the routing inspection detection precision is reduced due to the fact that adaptation optimization is not carried out for the layered structure, the shielding characteristic and the terminology instruction of the power equipment is solved.

The invention discloses an in-phase SOC (State of Charge) self-adaptive quick equalization method for an angle-type high-voltage direct-hanging energy storage system considering a power limit and a modulation degree limit, which combines two factors, namely the magnitude of system phase current and the magnitude of SOC equalization voltage. The additional SOC equalization voltage is adjusted by introducing a dynamic equalization coefficient Kp, and the SOC equalization voltage is smoothly reduced at the in-phase SOC equalization end stage. According to the method, the power limit and the modulation degree limit of the sub-modules can be fully considered, it is ensured that the system operates in a safe range, the balancing capacity of the energy storage system can be fully played, the balancing speed is increased as much as possible, and the maximum balancing speed is no longer purely pursued when SOC balancing last-stage adjustment is carried out; and instead, the additional equalization voltage is gradually reduced along with the delta SOCx, so that an additional equalization voltage error caused by an overlarge gain control coefficient is avoided, the equalization capability of the angle type high-voltage direct-hanging energy storage system is fully exerted, and the accuracy of the additional equalization voltage at the final equalization stage is ensured.

The invention belongs to the technical field of inverter transient stability evaluation, and provides a power amplitude limiting setting method and system for improving the transient stability of a network construction device in current limiting. The method comprises the steps of triggering and controlling a grid-forming inverter to enter a current limiting mode when the grid-forming inverter grid-connected system has voltage drop at a power grid side, and limiting the increase of the power difference when the power difference exceeds the maximum value of the set power difference; the switching conditions are analyzed into corresponding power angle switching conditions; according to the power vacancy at the fault moment of the network-building type inverter, calculating the acceleration area of the network-building type inverter under the action of power amplitude limiting; on the basis of the relation between the fault clearing angle and the power angle switching condition of the network building type inverter, the deceleration area of the network building type inverter under the power amplitude limiting effect is obtained; and based on an equal area rule, solving a setting value range of a maximum value of a power difference value of power amplitude limiting under the condition of transient stability of the single-machine grid-connected system of the grid-forming inverter.

The invention discloses an improved control method for low voltage ride through of a distributed direct-driven wind turbine generator, and belongs to the technical field of grid-connected control of wind turbine generators. And when the voltage of the power grid drops, the distributed direct-driven fan enters a low-voltage ride-through state. The method comprises the following steps: firstly, establishing a dq-axis grid-connected system model of the distributed direct-driven fan; and then, by taking'reduction of active loss and improvement of terminal voltage 'as double control objectives, under the constraint of a grid-connected guide rule, a machine-side / grid-side current limit and a power limit, an improved multi-objective particle swarm optimization algorithm is adopted to solve optimal set values of active and reactive current online in real time, and the optimal set values directly act on a grid-side converter. Compared with an existing proportional reactive power injection method, on the premise that the grid-connected guide rule requirement is met during the fault period, the method can simultaneously provide reactive power support and raise the terminal voltage; active loss is reduced, and the power grid frequency is supported; according to the method, the low-voltage ride-through capability and the power generation economy of the wind power plant are remarkably improved.

The invention discloses a network construction type converter control parameter setting method for improving the active supporting capability, and the method comprises the steps: firstly inputting the known output active power limit of a to-be-solved network construction type converter; inputting a step disturbance amplitude, a damping coefficient initial value 0.1, a damping coefficient maximum value, a damping coefficient search number and an inertia time constant set by the to-be-solved grid-constructing converter; secondly, according to a closed-loop transfer function formula of output active power and grid-connected point angular frequency of the network construction type converter, obtaining an active output response function of the network construction type converter; and finally, calculating the damping ratio, response time and adjustment time of the active power output by the grid-forming converter, and obtaining a damping coefficient parameter range by combining the requirement of the national standard GB / T 38983.1-2020 on the active frequency modulation capability of the virtual synchronous machine. The method can be used as a support basis for the control parameter design of the network-constructing converter, the active support capability of the network-constructing converter is improved, and the safe and stable operation of a power system is ensured.

Provided are a power control method and terminal devices. The method comprises: a terminal device determining transmit power of a first sidelink signal in shared spectrum based onfollowing information: first transmit power, determined based on a power limit; second transmit power, determined based on a maximum transmit power of the terminal device; and fourth transmit power, determined based on a downlink path loss or the second transmit power.

The invention relates to the technical field of photovoltaic power station intelligent monitoring, and discloses a distributed photovoltaic power station monitoring management method and system based on a cloud platform, and the method comprises the steps: collecting the operation parameters of a photovoltaic string; applying bounded perturbation in a stable interval of maximum power point tracking to obtain a feature vector; and constructing a topological graph, and reconstructing a virtual current and voltage characteristic curve and key characteristic points. And obtaining a node-level health index on the topological graph, and generating an abnormal score in combination with the reference distribution. And according to the shape deviation of the virtual current and voltage characteristic curve and the distribution of the node-level health indexes, positioning an abnormal string and an affiliation node thereof, solving the optimization problem of power generation income, degradation risk and power fluctuation under the condition of satisfying parameter constraints, and obtaining an active power limit and a power factor control track to be issued to an edge node for execution. According to the invention, the diagnosis precision and the grid-connected stability of the distributed photovoltaic power station in a large-scale scene are improved, and the expandability and the intelligent level are improved.

The invention relates to the technical field of charging piles, in particular to a charging pile control method and system for a large-current new energy heavy truck, and the method comprises the steps: building a demand power fluctuation curve of a plurality of charging piles in a charging station based on the charging power data of the charging station at a plurality of historical time points; determining a power overall limit time period and overall limit power of the overall power limit time period based on the theoretical maximum power and the demand power fluctuation curve; determining individual limited power of each charging pile based on the temperature prediction data of the current day; constructing an optimization model based on the total limited power and the individual limited power, and solving the optimization model to obtain the optimal operation power of the plurality of charging piles in the charging station; and performing power limitation control based on the optimal operation power of the plurality of charging piles in the charging station. The total power of the charging station and the individual power of the charging station can be limited under the condition that charging is not affected, power failure of a trigger protection mechanism is avoided, heating is reduced, electric energy is saved, and heat dissipation pressure is reduced.

The present application belongs to the technical field of power generation project benefit evaluation, and discloses a new energy power generation project benefit evaluation method and system based on multi-dimensional coupling, comprising: performing compliance verification on the pre-acquired attenuation parameters and output data, combining a pre-set environmental operation correction factor to construct a device performance degradation dynamic model, and performing output correction on the verified output data; verifying the pre-acquired power grid power limiting parameters by using normative verification, constructing a power limiting strategy multi-dimensional constraint condition, and performing power limiting constraint on the corrected theoretical output data based on the power limiting strategy multi-dimensional constraint condition; performing physical constraint verification on the pre-acquired energy storage parameters, combining a pre-set safety constraint to construct an energy storage optimization scheduling model, and combining the actual output data to perform charging and discharging strategy optimization, and performing power generation project benefit evaluation according to the charging and discharging strategy optimization result. The present application can solve the economic prediction distortion problem under the power consumption capacity limited scenario.

The invention discloses an offshore wind turbine generator foundation scouring dynamic monitoring and power limit evaluation method, and aims to solve the problems that in the prior art, foundation scouring monitoring and protection measures lack quantitative evaluation, and power limit control is not real-time. Comprising the steps of data acquisition and real-time monitoring, scouring influence evaluation, fan power dynamic limit control, quantitative evaluation of fan protection measures and system integration and intelligent decision support. By monitoring the basic scouring condition, the fan state and environmental data in real time and combining numerical simulation and neural network optimization, the influence of scouring on the stability of the fan is dynamically evaluated, power output is automatically adjusted, safe and stable operation of the fan is ensured, quantitative evaluation and optimization of protective measures are achieved, the management precision and response speed of the wind power plant are improved, and the wind power plant management cost is reduced. The safety and the economical efficiency of the offshore wind turbine generator are improved; intelligent early warning and fault prediction can be integrated, prevention measures are taken before potential risks occur, non-planned downtime is shortened, and a comprehensive intelligent solution is provided for operation of the wind power plant.

The invention discloses a power supply voltage monitoring device system based on edge calculation, and the system comprises a data collection and preprocessing module which is used for collecting and preprocessing voltage data, and generating a voltage time sequence data sample; the edge clustering analysis module is used for carrying out adaptive fuzzy C-means clustering and bald eagle search optimization to obtain a clustering center and a membership matrix; the state classification and abnormity identification module is used for carrying out state classification on the voltage data of each monitoring point and generating an abnormity identification mark; the alarm and linkage control module is used for automatically triggering local alarm, power failure or power limiting measures for abnormal monitoring points; the communication and data uploading module is used for uploading the abnormal data and the alarm information to a remote management platform; and the visualization and operation and maintenance management module is used for visually displaying abnormal information, archiving historical data and assisting operation and maintenance management. Intelligent monitoring, abnormity identification and quick response of the power supply voltage are realized, and the safety and reliability of a power grid are improved.

Devices, systems, methods, and processes for adaptive power mode control in network devices are described herein. The deployment of access points (APs) introduces various challenges due to high-density AP deployments and varying interference levels. An AP executes an adaptive mode control logic to dynamically adjust transmission power and switch between Low Power Indoor (LPI) mode and Standard Power (SP) mode based on real-time assessment of uplink and downlink signal strength parameters of associated user devices. The AP may further assess Radio Frequency proximity with neighboring APs to determine optimal cell size and identify maximum transmission power limits (TMAX) within the LPI and SP modes. To ensure seamless communication, the AP switches to the SP mode if the TMAX in the LPI mode does not provide adequate uplink and downlink coverage to the associated user devices. This dynamic control minimizes interference, improves data rates, and supports seamless network integration.

A method and system for protecting a battery power limit, and a storage medium are disclosed. The method for protecting a battery power limit is applied to a vehicle with a battery management system. The method includes: acquiring temperature data, a state of charge, and a cell voltage extreme value of a battery, periodically; calculating a current maximum available power according to the temperature data and the state of charge; determining a power limit coefficient according to the cell voltage extreme value, and a voltage limited power interval corresponding to the temperature data; and obtaining an actual available power that the battery management system allows the vehicle to use according to the maximum available power and the power limit coefficient. According to the method, different temperature ranges can be adapted according to logic.

The present invention discloses a method for adaptive reactive power limit support for doubly-fed wind turbines based on voltage drop depth, comprising: Step 1: Upon detecting a system short-circuit fault, obtaining the stator voltage drop depth; Step 2: Detecting the wind turbine's operating status after the fault and determining a reactive current proportionality coefficient using wind turbine parameters; Step 3: Determining a reactive power setpoint based on the reactive current proportionality coefficient and the voltage drop depth. This invention proposes an adaptive reactive power support control method that replaces the fixed control coefficients used in grid-connection standards. This method enables doubly-fed units to provide maximum reactive power support based on operating conditions, tapping the wind turbine's reactive power potential and thus broadening the range of fault ride-through capabilities.