64 results about "Inertial response" patented technology

The invention provides a multi-modal fusion power transmission line operation state monitoring method based on laser point cloud, and relates to the technical field of monitoring and early warning, and the method comprises the steps: employing a laser point cloud radar to extract inertial data, synchronously obtaining spatial point cloud data, and obtaining high-precision processing data through registration fusion, combined filtering and multi-scale error correction; establishing a mapping relation between a point cloud contour and inertial response by combining a tower structure characteristic model, performing cross validation and constraint optimization on a point cloud three-dimensional variable quantity and an attitude variable quantity, and converting the point cloud three-dimensional variable quantity and the attitude variable quantity into an inclination variable quantity relative to a reference coordinate system; and a multi-period state estimation model is further constructed, historical postures and deformation data are fused to identify deformation features, differential thresholds are set for different types of towers, and structural deformation is judged and identified through deviation monitoring and rate overrun and a result is output. According to the invention, the change of the tower can be comprehensively identified, and structural abnormity can be timely found to monitor the running state of the power transmission line.

The invention relates to the technical field of energy collection systems, and discloses a combined low-frequency vibration energy collector which comprises a lower-layer structure and an upper-layer structure which are combined to form an upper-layer and lower-layer coupled structure. The lower layer structure is an arc-shaped flexible beam, and the arc-shaped flexible beam is used for collecting piezoelectric energy generated by bending deformation; the upper layer structure is a T-shaped cantilever beam, the T-shaped cantilever beam is used for responding to bending modes in different directions and realizing multi-point energy collection, and the energy collection efficiency is improved by introducing mass load to regulate and control structural dynamic behaviors; the first end of the arc-shaped flexible beam is used for being fixed to the edge of a base to conduct energy conversion, the second end of the arc-shaped flexible beam supports the upper layer structure through the first mass block and is combined to form an integrally-connected composite vibration system used for transmitting inertial response, and the first mass block is used for adjusting the inherent frequency to be matched with a low-frequency vibration source.

The invention relates to the technical field of power system equipment, in particular to a flywheel energy storage phase modifier system based on a brushless doubly-fed motor, which comprises a large-inertia flywheel, the brushless doubly-fed motor, a switch, a converter, a transformer and a power grid, according to the integrated system, the advantages of the synchronous phase modifier, the brushless doubly-fed motor and the flywheel energy storage technology are combined, the good inertia response capability is achieved, an electric brush and a sliding ring are omitted for the brushless doubly-fed motor, the reliability of high-rotating-speed operation is improved, and the operation and maintenance cost is reduced. Through flexible control of winding alternating current excitation and wide-range rotation speed interval operation, rapid active and reactive power support can be provided for a power grid, and multiple functions of power generation, energy storage, phase adjustment and the like can be realized. According to the method, the inherent inertia level of the power system can be remarkably improved, transient active-frequency support is realized in a strong disturbance scene, meanwhile, the dynamic reactive-voltage compensation capability is realized, and the frequency and voltage stability of the power system can be effectively maintained.

The invention provides a grid-connected frequency modulation control strategy based on photovoltaic power prediction so as to solve the problems of stability and safety of a power system under high-proportion photovoltaic grid connection. According to the strategy, new parameters representing characteristics of a traditional synchronous generator set and a photovoltaic system are introduced, and a control strategy of a power grid side inverter is improved based on actual grid-connected working conditions. Meanwhile, a frequency dynamic response model considering the photovoltaic penetration influence is established, and the inertia response of the synchronous generator set is accurately simulated by introducing the dynamic characteristics of a power grid side direct current capacitor. And by adjusting the virtual inertia and the adjustment factor, the anti-disturbance capability of the photovoltaic system is enhanced. In combination with historical photovoltaic power generation data, the photovoltaic power is predicted by adopting data normalization, feature selection, SOM clustering analysis, singular spectrum analysis and a full-connection network model, and the prediction accuracy is improved. And the control strategy is combined with the power prediction result to realize efficient and stable frequency modulation control of the grid-connected photovoltaic system.

The invention relates to the technical field of wind power equipment, and discloses a floating type wind power device which comprises a wind power unit and a wind power platform. At least three box type connecting structures are uniformly arranged in the circumferential direction of the fan base; the ballast block is coaxial with the fan base; and the damping device is arranged in the box type connecting structure in a sliding mode and comprises a damper, the end, away from the fan base, of the damper is anchored to the seabed through a first mooring system, and the end, facing the fan base, of the damper is connected with the ballast block through a second mooring system. The sliding damping device is arranged in the box-type connecting structure, the environmental load is introduced into the damper through the first mooring system, the inertia response of the ballast block is introduced into the damper through the second mooring system, two paths of input are coupled at the damper, vibration energy is consumed through the hydraulic damping effect, and the damping effect is improved. The stability and safety of the platform under complex sea conditions are remarkably improved, and the surging, swaying, heaving and yawing movement of the platform is effectively restrained.

A device, method, and non-transitory computer readable medium for controlling a power distribution system includes an islanded microgrid and a control system. The islanded microgrid includes battery energy storage systems (BESSs) that operate as a primary energy source, and a decentralized consensus-based virtual synchronous generator (VSG). The control system simultaneously, emulates inertial response of a synchronous generator by the virtual synchronous generator during grid disruptions to regulate and stabilizes frequency of the islanded microgrid, and maintain consensus among the plurality of battery energy storage systems (BESSs).

The invention discloses a system efficiency improvement method for enabling stored energy to participate in multi-link regulation and control of a power grid under a CPS standard, and belongs to the field of electric power. The method comprises the following steps: firstly, constructing a frequency response model of the regional power grid based on a resource cooperation frequency response process by analyzing frequency response characteristics of various adjustment resources in the regional power grid; secondly, providing an inertia demand evaluation method by respectively quantifying the minimum inertia demand under the frequency deviation constraint and the frequency change rate constraint; meanwhile, key indexes such as frequency deviation and regional control errors are collected by using an SCADA system, and CPS indexes are calculated to measure the energy storage frequency regulation and control level in combination with existing CPS assessment rules in a certain province in the north. And finally, by taking cost minimization as a target and taking an inertia demand and a CPS index as constraints, constructing an optimization improvement model of energy storage participating in multi-link regulation and control. The energy storage optimization control strategy provided by the invention aims at reducing the overall cost of energy storage regulation and control on the basis of meeting the multi-link regulation and control requirements of regional power grid inertia response, frequency control and the like, and further effectively improving the overall efficiency level of the system.

The invention provides a high-proportion renewable energy electric energy quality regulation resource cooperation-autonomy method, which belongs to the field of energy, and comprises the following steps: constructing a phase angle feed-forward VSG single-machine active-frequency control model; the method comprises the following steps: constructing an active-frequency response model of a phase angle feed-forward compensation VSG system according to a single-machine active-frequency control model of a phase angle feed-forward VSG (virtual synchronous generator); a phase angle feed-forward parameter optimal configuration method of an active-frequency response model of the phase angle feed-forward compensation VSG system is deduced, autonomous parameter matching and oscillation suppression of the multi-VSG system are realized by constructing a three-layer control architecture of local perception-neighborhood cooperation-global stability, active oscillation after disturbance is eliminated, and the optimal configuration of the phase angle feed-forward parameter of the active-frequency response model of the phase angle feed-forward compensation VSG system is realized. And high-proportion renewable energy source electric energy quality regulation resource collaboration-autonomy is realized. According to the invention, active oscillation cooperative suppression is realized, and the inertia response adjusting capability of the system is completely reserved.

The invention relates to the technical field of power system operation and control, and discloses a pooling station monitoring data-based new energy base rapid frequency supporting capability monitoring method, which comprises the following steps of: firstly, automatically identifying a disturbance moment based on frequency and power change characteristics, and carrying out smoothing and exception suppression processing on disturbance data; then combining frequency response mechanisms of wind power, photovoltaic and energy storage equipment to construct an inertia response characteristic and primary frequency modulation characteristic model of the new energy base, and identifying an equivalent inertia constant and an equivalent droop coefficient of the base by using measurement data during disturbance; solving the external equivalent reactance of the new energy base based on the sensitivity relationship between the complex power and the voltage phasor; and finally, calculating the fast frequency support capacity, sustainable support duration and frequency response index of the new energy base in combination with the parameters, thereby realizing online monitoring and evaluation of the fast frequency support capacity.

The invention relates to the technical field of building energy conservation and electric power systems, in particular to an office park air conditioner energy conservation and aggregation control method and device considering building thermal load inertia response, and the method comprises the steps that an air conditioner regulation and control potential model fused with a second-order equivalent thermal parameter model is constructed, optimizing by combining long and short-term memory network prediction and a non-dominated sorting genetic algorithm; a day-ahead-day-real-time multi-time scale cooperative control strategy is designed; a homogeneity and heterogeneity air conditioner aggregation model and a group control strategy are established, the homogeneity model meets the condition that the thermal resistance similarity is larger than or equal to 0.9, the thermal capacity similarity is larger than or equal to 0.85, and the heterogeneity model meets the condition that the parameter correlation is smaller than or equal to 0.3. The system comprises five core modules, the start and stop amplitude of the air conditioner can be reduced by 60%, the average daily energy saving rate is 8-9.8%, the polymer power fluctuation is smaller than or equal to + / -2.3%, the comfort level standard reaching rate is larger than or equal to 96%, the response power grid emergency load shedding delay is smaller than or equal to 200 ms, the system is suitable for multi-brand and multi-type air conditioners, and construction of a novel electric power system is assisted.

The invention belongs to the technical field of safety and stability of a power system, and particularly relates to a power system inertia estimation method considering an electrical distance and an inertia center, which comprises the following steps: firstly, introducing a correlation matrix to represent the electrical distance between generator buses, defining an inertia center parameter, and collecting frequency data by using the inertia center; and defining and calculating an inertia time constant of the power system through a swing equation in combination with power disturbance generated by the power system, and mastering the inertia level of the power system in real time. Due to the fact that inertia distribution in a power system is not uniform, frequency response differences after disturbance are more obvious, and inertia estimation errors when different frequency collection points are selected have randomness, the invention provides a power system inertia estimation method considering an electrical distance and an inertia center. The sampling of the single bus frequency can most accurately represent the frequency change of the inertial response of the system, so that the error of inertial evaluation is reduced.

The invention discloses a virtual droop control and virtual inertia control switching method based on a logistic function, and relates to the technical field of high-voltage flexible direct-current power transmission. The method comprises the following steps: obtaining the topology of a super-capacitor energy storage type modular multilevel converter and the topology of a double-end bipolar flexible DC system based on the super-capacitor energy storage type modular multilevel converter; the inertia response characteristic and the droop response characteristic of a receiving end power grid in the flexible direct current sending-out system based on the super capacitor energy storage type modular multilevel converter are analyzed; designing a virtual droop control and virtual inertia control switching strategy based on a logistic function; and performing simulation verification on a virtual droop control and virtual inertia control switching strategy. The method is simple and easy to implement, virtual droop control and virtual inertia control can be assisted to be switched in a smoother mode by introducing the logistic function, the impact of switching of a traditional control strategy on the power grid can be effectively avoided, and the transient stability of the power grid is improved.

This application provides a new energy power generation grid connection control method and control device, relating to the field of grid connection control technology. The new energy power generation grid connection control method is applied to a new energy power generation-energy storage transmission system. The control method includes: acquiring grid frequency information; responding to the grid frequency information, obtaining inertial response data and frequency regulation data; responding to the inertial response data and the frequency regulation data, controlling the new energy power generation-energy storage transmission system to provide inertial response and frequency regulation strategies to the grid, and the new energy power generation-energy storage transmission system couples a preset capacity of energy storage to a DC bus through a preset circuit. The control method enables the new energy power generation-energy storage transmission system to autonomously support the grid, providing real-time and reliable active frequency support to the grid.

The application provides a kind of wind storage system inertia demand distribution method and device, method includes: based on frequency variation rate, frequency variation constraint respectively determines the first minimum inertia demand and the second minimum inertia demand of system;Select the larger value as the minimum inertia demand in both;Based on wind turbine speed safety constraint and output power constraint, the upper limit of the output power of energy storage and inertia response time, the maximum virtual inertia that wind turbine and energy storage can provide is evaluated;Based on the maximum virtual inertia that wind turbine can provide and the virtual inertia that energy storage can provide at disturbance, the inertia demand is distributed.The application obtains the minimum inertia demand associated with it by frequency variation rate and frequency variation respectively, considers the two minimum inertia demand values comprehensively, obtains the final inertia required by wind storage system.In this process, the application also considers the virtual inertia demand under the constraints of wind turbine speed and output power variation, completes the inertia demand distribution of wind power and energy storage.

The invention belongs to the field of mechanical vibration reduction and torsional vibration control, and provides a double-inertia-body silicone oil damper and a working method thereof, and the damper can cover two frequencies at the same time through the fact that an inner inertia body and an outer inertia body correspond to different inherent frequencies respectively. The double inertia bodies provide two-stage inertia response and adapt to multi-stage torsional vibration excitation of the engine. According to the technical scheme, the device comprises a shell, a shell cover plate, an outer coasting body cover plate, an outer coasting body and an inner coasting body, and after the shell cover plate and the shell are installed, a cavity for containing the outer coasting body is formed; after the outer coasting body and the outer coasting body cover plate are mounted, a cavity for accommodating the inner coasting body is formed; the outer inertia body is arranged in the shell; the inner inertia body is arranged in the outer inertia body.

The invention discloses an energy storage distributed system grid-connected control method based on a virtual synchronous generator. The method comprises the following steps: collecting an inverter voltage Vinv, an inverter current Iinv and a power grid angular frequency omega of an inverter; constructing inversion voltage and current under an alpha-beta coordinate system; calculating active power and reactive power output by inversion, and extracting direct-current components in the active power and the reactive power; based on the rotor motion equation model, according to the active power target value and the power grid angular frequency, outputting the rotation angular frequency of the simulated synchronous generator; calculating an excitation electromotive force value of the simulated synchronous generator according to the reactive power target value based on the electromagnetic equation model; obtaining a power angle theta of a voltage reference according to the rotation angle frequency integral, and obtaining a voltage amplitude E of the voltage reference based on the excitation electromotive force value; synthesizing an output voltage reference E < theta of the inverter, and enabling the inverter to track the voltage reference through voltage and current double-loop control. Inertia response and frequency modulation functions are provided for the power grid, and the frequency stability risk is reduced.

The invention relates to the technical field of power system automation, in particular to a rapid frequency evaluation method, system and device based on a power grid feature set and a medium, and the method comprises the steps: obtaining power grid historical data including an operation mode, a source-grid-load-storage commissioning capacity proportion and a new energy access proportion, and constructing the power system feature set; analyzing historical data of a power vacancy event in the feature set, and calculating an equivalent inertia time constant of the power grid when power vacancy occurs; when disturbance occurs, acquiring the characteristic data of the power grid at the moment, matching the characteristic data with the data in the characteristic set, and approximately estimating an equivalent inertia time constant during disturbance; and in combination with the real-time data of the power grid and the matched equivalent inertia time constant, evaluating the frequency change rate and the frequency lowest point in the inertia response time period after disturbance. The frequency change trend of the system can be quickly evaluated based on historical data, real-time state and external disturbance factors of the power grid under the condition of not depending on a complex simulation model.

The application belongs to the technical field of power system frequency stability analysis, and provides a frequency response analysis method and system based on a unified equivalent model of heterogeneous devices, provides a correction mechanism for the time sequence coupling effect between devices, considers the difference in dominant dynamic characteristics of different devices at different stages of the frequency response process, divides the frequency response process into an inertia response stage, a primary frequency modulation stage and a frequency recovery stage, and respectively adopts a targeted frequency weighting function for parameter identification of each type of device at each stage, so that the parameters of the unified equivalent electromechanical model focus on the dominant dynamic characteristics of the stage in each stage, and under the premise of keeping the structure of the 2-order unified model unchanged, through independent identification and adaptive switching of each stage, the prediction accuracy of key indicators such as the frequency minimum point, the frequency change rate peak value and the power response is obviously improved compared with the fixed parameter method in the whole period.

The application provides a high-proportion renewable energy power quality regulation resource coordination-autonomy method, and belongs to the field of energy, comprising: constructing a phase angle feedforward VSG single-machine active-frequency control model; constructing a phase angle feedforward compensation VSG system active-frequency response model according to the phase angle feedforward VSG (virtual synchronous generator) single-machine active-frequency control model; deriving a phase angle feedforward parameter optimal configuration method of the phase angle feedforward compensation VSG system active-frequency response model, realizing autonomous parameter matching and oscillation suppression of a multi-VSG system through construction of a three-layer control architecture of "local perception-neighborhood coordination-global stability", eliminating active oscillation after disturbance, and realizing high-proportion renewable energy power quality regulation resource coordination-autonomy. While realizing coordinated suppression of active oscillation, the application completely retains the inertia response regulation capability of the system.

The invention discloses a virtual synchronous machine participated double-layer frequency modulation and voltage regulation control method, which comprises a fast inertia response process and an active frequency modulation recovery process, and is characterized in that when a frequency deviation change rate exceeds a preset threshold value, a VSG generates additional active power which is inversely proportional to the frequency deviation change rate, and the VSG recovers the active frequency modulation; active power is applied to the VSG; the active frequency modulation recovery process comprises the following steps: when the continuous existence time of the frequency deviation exceeds a preset value, the VSG calculates an active power correction amount, generates the active power correction amount through a PI controller of the VSG or generates the active power correction amount through a water turbine governor, and acts on the total active power until the frequency is recovered to a rated value. A whole-process frequency control method is adopted, a'passive + active 'double-layer frequency modulation framework is provided, frequency sudden change is suppressed, steady-state deviation is eliminated, and a'dynamic suppression-steady-state recovery' closed-loop control process of frequency is realized.

This invention relates to the field of renewable energy power plant technology and discloses a method for controlling the inertial response characteristics of renewable energy power plants with coordinated multi-grid-connection modes. The method involves identifying the grid-connected equipment within the renewable energy power plant and obtaining the dynamic operating response of each equipment. All grid-connected equipment is then screened based on dynamic operating behavior and parameters to obtain a sequence of equipment to be analyzed. A sequence of dynamic operating behavior parameters is constructed based on shared dynamic operating behavior, and the sequence parameter coefficients are calculated. Inertial response characteristic coefficients within the renewable energy power plant are calculated based on these coefficients. A corresponding inertial response strategy is selected based on these coefficients to control the grid-connected equipment within the renewable energy power plant, thereby achieving consistent inertial response under dynamic operating conditions, improving the inertial response capability of the renewable energy power plant in the power grid, and enhancing the stability and security of the power grid.

This invention provides a method, system, equipment, and medium for frequency regulation optimization control of a wind-storage combined power station. During primary frequency regulation, the system releases rotor kinetic energy through virtual inertial control of the wind turbine to dampen frequency drops during the inertial response phase. Energy storage compensates for the later-stage power output decline of the wind turbine and avoids secondary frequency drops caused by the wind turbine, effectively improving the frequency response characteristics of the system during primary frequency regulation. During secondary frequency regulation, aiming to minimize the cost of automatic power generation control involving the frequency-regulating power source, reference values ​​for wind turbine power variation and energy storage power variation are determined. Secondary frequency regulation control is then performed based on these reference values, taking into account not only the state of charge of the energy storage power station itself but also coordinating with the wind turbine's operating conditions in real time. This extends the lifespan of the energy storage while improving the dynamic frequency characteristics of the system.

This invention discloses a method and system for short-term heat load prediction of heat exchange stations based on deep learning, comprising the following steps: Step 1: Constructing a heat exchange driving force sequence; Step 2: Performing delayed displacement processing on the heat exchange driving force sequence based on fluid topology tracking to generate a short-time thermal inertial response; Step 3: Calculating the instantaneous heat consumption intensity index on the user side based on the heat exchange driving force sequence and the time period information corresponding to each sampling time; Step 4: Constructing an outdoor ambient temperature change sequence to generate an external disturbance compression quantity; Step 5: Constructing a short-term operating condition state vector sequence; Step 6: Inputting the short-term operating condition state vector sequence into an improved Timer model to generate a short-time state transition vector corresponding to the future target time; Step 7: Reconstructing the future heat exchange driving force; Step 8: Calculating and outputting the short-term heat load prediction value of the heat exchange station. This invention combines fluid topology tracking and an improved Timer model to achieve accurate short-term heat load prediction of heat exchange stations.

The invention discloses a method, a system, equipment and a medium for adaptively improving an inertial response effect and frequency damping based on a phase-locked error, and relates to the technical field of power grid inertial response, and the method comprises the following steps: representing the phase-locked error through a q-axis voltage component obtained through coordinate transformation of a grid-connected point three-phase voltage signal; inputting the q-axis voltage component into an inertia control link to obtain an additional torque or active power instruction value; adaptively adjusting the damping coefficient T based on the absolute value of the q-axis voltage component; superposing the additional torque or active power instruction value with active power or torque instruction values generated in other links to obtain a target instruction value at the next moment; and d-axis and q-axis components of the excitation voltage are calculated through a proportional-integral controller, and a control signal of the rotor-side converter is generated through inverse coordinate transformation. A q-axis component in three-phase voltage of a grid-connected point is extracted to accurately represent a phase locking error, and in combination with adaptive damping adjustment, rapid identification and active response to power grid frequency disturbance are realized.

This invention belongs to the field of power system stability control technology and discloses a method for assessing the frequency support strength of a power grid based on inertial response and primary frequency regulation coordination. It constructs typical operating modes and a set of anticipated faults based on power grid planning data, obtains the frequency response trajectory through time-domain simulation, and extracts frequency change rate, minimum frequency, and steady-state frequency deviation characteristics. Based on power grid safety and stability guidelines, it establishes safety boundary values ​​for the frequency change rate and minimum frequency adapted to the current scenario. It constructs a comprehensive evaluation function including inertia, frequency regulation speed, and capacity strength, and introduces configurable dynamic weighting coefficients to calculate the comprehensive frequency strength evaluation index S. Based on the dual criteria of boundary non-exceeding limits and the comprehensive frequency strength index S≥1, it determines system safety and identifies weak links in scenarios that do not meet the requirements. This invention can effectively quantify the frequency support capability of the power grid under different planning schemes, providing a basis for grid optimization and resource allocation in high-proportion renewable energy power grids.

This invention relates to the fields of motor control and cloud computing technology, specifically to a cloud-based method and system for detecting the inertia response of an asynchronous motor. The method includes: initializing a prior probability distribution based on preset parameters of the motor; generating optimal excitation signal parameters; synthesizing an excitation signal and injecting it into the motor based on the received optimal excitation signal parameters, synchronously collecting raw dynamic response data, generating a feature dataset; uploading the dataset to a cloud-based inertia inference center; calculating the posterior probability distribution; comparing the variance of the posterior probability distribution with a preset convergence accuracy threshold; if the variance is less than the convergence accuracy threshold, updating the controller parameters of the edge-side control execution unit based on the final inertia identification result; if the variance is not less than the convergence accuracy threshold, using the currently calculated posterior probability distribution as the prior probability distribution for the next iteration, and returning to the step of generating the optimal excitation signal parameters. This invention achieves high-precision parameter identification under extremely low disturbance conditions.

A method for calculating the equivalent virtual inertia time constant of an energy storage device defines the energy storage virtual inertia time constant under the energy storage additional differential inertia control, and quantitatively characterizes its value through analysis. Combined with the energy storage inverter control model, the ratio relationship between the rate of change of the energy storage charge state and the change of the system synchronous angular velocity during the inertial response process is explored, and the ratio is substituted into the definition formula of the energy storage virtual inertia time constant to obtain the complex frequency domain expression of the inertia time constant, and then the time domain value is obtained through Laplace inverse transformation. The equivalent virtual inertia time constant of the energy storage device in the present invention has obvious dynamic time-varying characteristics, which is significantly different from the characteristics of the synchronous unit with a constant inertia time constant; it lays an important foundation for further research on the dynamic frequency characteristics of power systems containing energy storage virtual inertia control.

The present application relates to a shared energy storage virtual inertia compensation control method for wind power cluster collection, belonging to the technical field of power system control. In view of the problem of insufficient coordinated control of wind power system and energy storage system in the prior art, the present application establishes a dynamic model by obtaining operating parameters, including a wind turbine active power control model and an energy storage system charging and discharging model; a virtual inertia control strategy is designed, a virtual inertia control is introduced to simulate the inertia response characteristics of a synchronous generator; shared energy storage coordinated control is performed, and a strategy is designed according to the inertia demand and the SOC state by using the MPC method; a frequency dynamic response model is established and the inertia response time is calculated as the start-stop condition of virtual inertia control; and the intelligent algorithm is used to optimize the controller parameters and design the locking logic. The method can improve the system performance and efficiency, enhance the frequency stability, improve the energy utilization efficiency of the energy storage system, optimize the system performance, and improve the system stability and reliability.

The present invention discloses a method and device for obtaining the time-varying inertia of a wind farm station based on a clustering and aggregation method, belonging to the field of wind farm control technology. The method derives the frequency and reactive power of any wind turbine in the current sampling period as the equivalent frequency and equivalent power of the unit to which the wind turbine belongs; then, the equivalent frequency and equivalent power of each unit in the current sampling period and the two previous sampling periods are converted into two linear operators, and the equivalent inertia corresponding to each unit in the current sampling period is calculated using the linear operators corresponding to each unit; finally, the inertia level of the entire wind farm station is determined through weighted calculation. That is, the present invention takes into account the differences among internal units, clusters and aggregates units with similar inertial responses, estimates the inertia of each aggregated unit separately, and then determines the inertia level of the entire wind farm station through weighted calculation; this method has low computational complexity and can accurately reflect the influence of parameter distribution and estimate the time-varying inertia of the wind farm.

A control arrangement of a wind power plant includes a number of wind turbines and a number of storage arrangements, which control arrangement includes a first monitoring module configured to determine a first power quantity stored in the rotating mass of a wind turbine; a computation module configured to predict a power curve progression during injection of the first power quantity into the grid and during a subsequent theoretical recovery phase; a second monitoring module configured to determine a second power quantity available in a storage arrangement; and a response management module configured to identify a time instant at which to commence release of the second power quantity in order to maintain the combined output power of the wind power plant at a pre-defined threshold during inertial response following a grid under-frequency event.