212 results about "Electrical network frequency" patented technology

The invention relates to the technical field of prediction algorithms, and discloses a high-precision active power filtering and prediction algorithm for a three-phase ammeter, which comprises the following steps: acquiring original signals of three-phase voltage and current for baseline correction, performing time-frequency analysis on non-stationary harmonic waves and noise of the original signals, and dynamically adjusting filtering parameters; voltage and current phase alignment is carried out through FIR phase shift and zero crossing point detection, a phase-locked loop is constructed by using GRU to track the frequency of a power grid, the sampling frequency is dynamically adjusted, and frequency mutation is detected; iapFFT transformation is optimized to suppress spectrum leakage, a phase error is corrected through a deep learning network, and weak harmonic detection is enhanced by using an attention mechanism; classifying harmonic waves, and adaptively calculating total active power; dimensionality reduction is carried out on historical power and environmental parameters through an auto-encoder, and future active power is predicted; low-power-consumption hardware is adapted, and training efficiency and data security are optimized; three-phase signals are processed in parallel, and FPGA storage and FFT / FIR cores are optimized for filtering processing; and dynamically adjusting parameters of the phase-locked loop.

The invention discloses a hierarchical optimization scheduling method for an electric power system containing a large-scale water electrolysis hydrogen production device, and relates to the technical field of hierarchical optimization scheduling of the electric power system.A gradient heterogeneous compensation unit fuses covariance alignment and differential privacy encryption, and on the premise that original data does not need to be shared, the optimal scheduling of the electric power system is achieved. The federal learning convergence speed is improved to a practical level; after each hydrogen production station uploads the encryption gradient, a coordinator corrects and eliminates equipment difference interference through statistical distribution, and generates a global consistent frequency modulation strategy, so that commercial sensitive information is protected, and model oscillation failure is avoided; the knowledge distillation unit further compresses the volume of the model to guarantee the real-time response capability of edge nodes, and when the frequency of the power grid changes suddenly, a quick response protocol automatically triggers a dynamic priority distribution mechanism; the regional aggregation layer directly broadcasts a frequency modulation instruction based on a historical performance label, and skips a federated learning iteration process, so that a hydrogen production cluster forms an adjusting resultant force in a second level.

The invention provides a method for identifying a power grid frequency signal assessment standard, and the method comprises the steps: constructing a system architecture composed of a master station, a substation and a communication network, and achieving the initialization of equipment through a finite-state machine; the method comprises the following steps: collecting power grid frequency, power generation side frequency difference and communication state multi-dimensional data, processing signals by applying median filtering, a sliding window and an EWMA algorithm, introducing fuzzy logic to evaluate a system state, and dynamically adjusting a response strategy; an improved PID algorithm is adopted to track frequency change, feed-forward compensation and PSO parameter optimization are combined, a hidden Markov model is utilized to predict a communication fault, and local mode switching is triggered in advance; main station, mixing and local three-state switching is carried out according to communication states and load changes, and a frequency modulation dead zone is automatically adjusted according to power grid loads through a dynamic threshold value self-adaptive algorithm; the control effect is verified by using a digital twinning technology; and the safety and reliability of the system are guaranteed by optional quantum encryption and active-active redundancy design. The whole scheme effectively reduces the power loss of power generation enterprises, and maintains the safe and stable operation of a power grid.

The invention belongs to the field of power distribution automation, and relates to a power grid equipment frequency adaptive resampling method based on a dynamic scale factor, and the method comprises the steps: carrying out the point compensation through employing a linear interpolation method when a power grid equipment detects that the number of continuous lost points is smaller than or equal to 3; selecting a voltage signal channel or a current signal channel to carry out zero crossing point detection and real-time frequency calculation; when the real-time frequency obtained through calculation deviates from the nominal frequency, the power grid equipment introduces a dynamic scale factor for resampling, sampling points are increased when the real-time frequency is higher than the nominal frequency, and sampling points are reduced when the real-time frequency is lower than the nominal frequency; writing data obtained by resampling into a calculation annular cache region of the power grid equipment; and performing FFT calculation on the data in the calculation annular cache region to obtain power grid parameters. The sampling interval of the data acquisition unit is dynamically adjusted by increasing or reducing the sampling points, so that the sampling time sequence and the actual signal period are synchronized, the sampling frequency and the real-time frequency are adaptively matched, and the sampling distortion problem under the power grid frequency fluctuation is solved.

The invention provides a power grid frequency detection method, system and device and a medium, and the method comprises the steps: carrying out the narrowband signal decomposition of an obtained input voltage signal of a power grid through a null-space tracking algorithm, and obtaining a fundamental main mode component of the input voltage signal; performing low-pass processing on the fundamental wave main mode component to obtain a fundamental wave signal of the fundamental wave main mode component; performing discrete Fourier transform on the fundamental wave signal to obtain phase information of the fundamental wave signal; according to the phase information of the fundamental wave signal, calculating phase deviation information of the fundamental wave signal in pre-selected adjacent cyclic waves to obtain frequency estimation information of the power grid; according to the invention, narrow-band decomposition is carried out on an input voltage signal through a null-space tracking algorithm, so that a fundamental main mode can be accurately extracted; and phase deviation information can be determined based on discrete Fourier transform, so that when the interference frequency of the power grid is close to the fundamental frequency, high separation precision can be kept, and the accuracy of power grid frequency estimation can be improved.

The invention relates to the technical field of wind power generation. The invention provides a network security protection method and system of main control equipment for wind power generation. The method comprises the following steps: receiving a control instruction, performing syntax tree analysis on an industrial control protocol, extracting an operation code and a parameter value, verifying the operation code, and verifying the parameter value; dynamically calculating a threat value based on the control instruction frequency, the cross-protocol request ratio and the deviation between the actual parameter value and the predicted value, and judging an attack risk according to the threat value level; establishing a normal operation baseline of the main control equipment or the remote terminal, and detecting the abnormal probability of the control instruction sequence in real time; calculating the physical rationality probability of the control instruction through a Bayesian network in combination with the environmental parameters of the wind speed, the power grid frequency and the equipment operation state; and according to the threat value level, the abnormal probability and the physical rationality probability, executing a multi-level response action. The problems of protocol protection superficial layer, environment correlation deficiency, emergency mechanism stiffness and the like in existing wind power generation main control equipment network security protection are solved.

The invention discloses a safety control method and system for an emerging control main body, and belongs to the technical field of power system active control, and the method comprises the steps: carrying out the bidirectional data interaction through a master station AGC and a field station AGC, and carrying out the bidirectional data interaction based on a bidirectional data interaction result and a cooperative anti-error parameter; whether the emerging control main body is in a controllable state or not is judged in real time through collaborative security locking logic; if the control main body is in the controllable state, active measurement data of the emerging control main body are obtained, and jump detection and multi-source checking are carried out on the active measurement data; after verification is passed, a pre-control instruction is generated based on the control strategy, and reasonability verification and control effect simulation verification are carried out; and after the control effect simulation verification is passed, the pre-control instruction is taken as a final control instruction to be issued to the emerging control main body for execution. The method can greatly improve the safety control capability of AGC on an emerging control main body, guarantees the frequency operation safety of a power grid, and improves the safe and reliable power supply capability of the power grid.

The invention discloses a frequency response modeling method, system and device based on power grid planning and a storage medium, and relates to the field of power system planning operation, and the method comprises the steps: employing an improved K-means algorithm based on data intensity, and carrying out the clustering of water, fire, wind and light units according to characteristic parameters; predicting a long-sequence meteorological scene based on historical meteorological data by using a three-layer BP neural network and reducing the long-sequence meteorological scene to obtain a typical operation scene; establishing an optimization model to obtain a power supply total output plan by combining unit clustering, a typical scene and a power grid boundary condition; a mixed integer optimization model is constructed to determine a synchronous unit starting scheme, equivalent inertia is calculated, new energy and stored energy equivalent inertia is calculated, and system frequency response model identification parameters are established and simplified; the method can improve the frequency stability of the power grid, reduce the operation risk caused by new energy access, optimize the power supply and net rack configuration in the planning stage, reduce the frequency out-of-limit and load loss during a fault, and enhance the safety and economy of the power grid.

The invention discloses a photovoltaic power generation frequency response control method considering different time scales, and relates to the field of power system automation control, and the method comprises the steps: integrating a frequency deviation feature and an illumination load disturbance feature to obtain a state feature vector, and determining a disturbance type according to the state feature vector; adaptively selecting a frequency response control mode based on the judgment result of the disturbance type, and reasoning and outputting an optimal control parameter combination in the frequency response control mode by using a pre-constructed disturbance-response causal atlas; a four-state progressive switching control strategy is generated in combination with a spectrum analysis technology, and smooth switching between frequency response control modes is realized through the four-state progressive switching control strategy. According to the invention, the response capability and the adjustment precision of the photovoltaic system under the power grid frequency disturbance can be improved, the dynamic coordination of fast frequency response and slow frequency response and parameter self-optimization control are realized, and the whole-process supporting capability of the photovoltaic system to the frequency disturbance is effectively improved.

The invention discloses a power grid frequency balance intelligent control system based on a distributed architecture, relates to the technical field of power grid control, and is used for solving the problems that the existing WLS / UKF and other methods are generally assumed to be good in synchronization, are insensitive to heteroscedasticity time delay and missing measurement, and are difficult to ensure robustness under real communication and equipment conditions. Through a through link, under the real clock misalignment, time delay jitter and packet loss conditions, measurement of a unified time axis and quality quantification are realized, and frequency estimation bias and uncertain transmission are significantly reduced. Reconstruction, filtering and triggering are penetrated with the same confidence degree, and abnormal measurement suppression and effective information utilization are improved; the fusion efficiency and timeliness of asynchronous arrival data are improved by utilizing graph prior and information domain incremental updating; and regional measurement abnormity and real power imbalance are discriminated through double-model causality, and error event reporting is reduced.

The invention relates to the technical field of power system frequency modulation control, in particular to a thermal power generating unit collaborative frequency modulation method and system based on block chain federated learning. According to the method, a decentralized P2P network is constructed through a block chain technology, and model parameters are initialized based on a secret sharing mechanism; carrying out local training by adopting an adaptive federal near-end optimization algorithm, measuring data isomerism through KL divergence and dynamically adjusting a regular coefficient; carrying out noise addition on a sample by adopting differential privacy, and carrying out homomorphic encryption to realize parameter encrypted transmission; selecting representative nodes based on a block chain consensus mechanism to execute parameter aggregation in the encryption domain; and multi-unit collaborative frequency modulation is realized through model prediction control. According to the method, the problems of data privacy protection, heterogeneous data adaptation and decentralized cooperative training are solved, and the stability of power grid frequency regulation and control is improved.

The invention belongs to the technical field of source network load storage monitoring, and particularly provides a source network load storage real-time monitoring cooperation system based on edge calculation, and the system mainly comprises a data collection and standardization module which obtains the collected output power of a photovoltaic inverter, the frequency deviation of a power grid, the switching state of an important load, and the charging and discharging rate data of an energy storage system, performing multi-source data fusion to obtain a system monitoring data set; the dynamic characteristic evaluation module is used for carrying out multi-dimensional characteristic analysis based on the system monitoring data set and obtaining a system adjustment parameter set through dynamic characteristic evaluation; and the coordination control construction module is used for constructing control logic according to the system adjustment parameter set and outputting a coordination control task scheme through a coordination control generation process. According to the method, the multi-source data fusion precision is improved, the dynamic characteristic matching capability of the system is enhanced, the source-network load-storage collaborative response efficiency is improved, the coping capability for power mutation is enhanced, and stable operation of the power grid frequency is effectively guaranteed.

The invention discloses a hydroelectric generating set power active control method, system and device based on frequency prediction and a medium, and belongs to the technical field of power control, and the method comprises the steps: collecting basic operation data of a hydroelectric generating set adjusting system in real time, and carrying out the preprocessing of the basic operation data; time sequence characteristics of the power grid frequency data are extracted, and a neural network is adopted to generate a power grid frequency prediction sequence in a future time window; the power grid frequency prediction sequence is converted into a dynamic power feed-forward compensation amount, feed-forward compensation amount optimization calculation is carried out, the feed-forward compensation amount is superposed to the output end of a feedback controller, and a composite power instruction input value hydroelectric generating set is formed; and updating a neural network input sequence in each control period by adopting a rolling time domain prediction strategy, dynamically correcting a future prediction result, and realizing controlled quantity updating based on actual frequency deviation. According to the method, the compensation weight is dynamically updated by using the online adaptive algorithm, the prediction error and the system performance target are considered, and the compensation amount distribution is optimized.

The invention provides a method for improving source network load storage integrated adjustment capability, and belongs to the technical field of power system automation and energy management. Multi-side data acquisition terminals are deployed to acquire power grid operation parameters in real time and perform adaptive extended Kalman filtering noise elimination; a source-load-storage dynamic coupling matrix is constructed based on historical data, adjustment weight coefficients of all links are calculated, and an adaptive prediction fusion model is used for energy storage state estimation and new energy output prediction. An energy storage power compensation instruction, an adjustable load starting instruction and a source load storage scheduling instruction are generated in a grading manner according to the magnitude of power grid frequency deviation by adopting a hierarchical cooperative regulation and control strategy, and an adjustment weight coefficient and a control instruction are iteratively optimized according to an adjustment effect, so that the technical problem of insufficient source network load storage multi-link cooperative adjustment capability is solved.

The invention discloses a method, device and equipment for determining parameters of a proportional resonance controller and a medium, the proportional resonance controller is applied to a current controller of a three-phase grid-connected inverter, the parameters of the proportional resonance controller comprise a proportionality coefficient, a first damping coefficient and a second damping coefficient, the first damping coefficient is greater than the second damping coefficient, and the second damping coefficient is greater than the first damping coefficient. The three-phase grid-connected inverter further comprises a filter. The proportional resonance controller is low in parameter coupling, can be independently designed, and is simple in engineering implementation; in the target open-loop transfer function, the proportionality coefficient determines the basic proportional gain, the damping coefficient controls the attenuation speed of the corresponding resonance factor, the difference between the first damping coefficient and the second damping coefficient can influence the gain bandwidth, and the larger the difference between the first damping coefficient and the second damping coefficient is, the more significant the attenuation speed difference between the second resonance factor and the first resonance factor is. The wider the high gain interval at the specific frequency of the power grid is, the higher gain is still kept even if the frequency of the power grid fluctuates, and the adaptability and robustness to the frequency deviation of the power grid are improved.

The invention provides an optimal primary frequency control method based on reinforcement learning. The method comprises the following steps: establishing a dynamic model of a power system; designing a frequency control strategy based on a deep reinforcement learning algorithm; the system frequency deviation is used as a reward signal, and a control strategy is trained through interaction with a power system; lyapunov function stability constraints are introduced into the reinforcement learning algorithm; a neural network is adopted to carry out parameterization design on the controller; discretizing the frequency dynamic equation, and proposing a multi-node collaborative optimization target; and deploying the trained control strategy to an actual power system, and adjusting control parameters in real time through an online optimization technology to adapt to the dynamic change of the system operation state. By means of the method, the frequency control accuracy and stability of the power system are improved, and the global optimal performance of frequency control of the whole power grid is achieved in actual deployment.

The invention discloses a primary frequency modulation cooperative control system for a thermal power generating unit, and the system comprises a high-frequency data collection module which synchronously collects the frequency of a power grid, the valve position of a steam turbine and the main steam pressure through an FPGA chip, calculates the frequency change gradient, and activates a rapid frequency modulation mode when the frequency change gradient exceeds a preset range or not; the multi-modal compensation decision module is used for calling a multi-modal dynamic compensation model to predict a power gap in a future time period and distributing a compensation amount; the safety constraint execution module is used for monitoring the main steam pressure deviation and triggering the reinforcement learning agent to update the parameter library when the main steam pressure deviation exceeds the preset load change rate; and the parameter optimization module is used for carrying out reinforcement learning dynamic adjustment on state space and action space parameters, and integrating security constraint indexes in a reward function. Through collaborative design of multi-mode dynamic compensation, intelligent parameter optimization and security constraint protection, the problems of response delay, parameter mismatch and security risk of a traditional frequency modulation technology are solved, and the method has remarkable technical innovation and engineering application value.

The invention discloses a VSG grid-connected system control method based on an improved three-parameter wave trap, and belongs to the technical field of power system control, and the method comprises the steps: firstly building a single-input single-output small signal model based on a VSG grid-connected system containing power coupling, and calculating an active open-loop transfer function; an improved active damping resonance suppression method is introduced, so that the transient stability of the system is improved; the expected system stability margin under the system oscillation frequency is obtained, and the parameter design of the three-parameter wave trap is completed based on the subsynchronous frequency oscillation characteristics; the three-parameter wave trap is remodeled, and active steady-state deviation caused by the virtual damping coefficient under power grid frequency disturbance is eliminated. According to the method, the stability of the system is improved, the system is ensured to have a relatively good stability margin, and active steady-state deviation caused by power grid frequency disturbance of the grid-connected system can be completely eliminated.

The invention provides a performance simulation test method and system for a pumped storage power station. The method comprises the following steps: acquiring characteristic data of the pumped storage unit, and performing characteristic line method analysis and dynamic impedance modeling to obtain a nonlinear hydraulic system mathematical model; constructing a synchronous generator model and an excitation system model, and constructing an AGC control model and a primary frequency modulation control model; generating a simulation system; generating a coordination control strategy by using a variable gain PID control algorithm based on a fuzzy control theory, and a dynamic weight distribution mechanism and a feed-forward compensation mechanism of an AGC instruction and a primary frequency modulation response; and executing a simulation test of a normal operation condition, a large disturbance condition and a condition switching process, and generating a performance test result. Through accurate modeling and coordinated control strategies, the problem of mutual interference between AGC and primary frequency modulation is solved, the stability and response speed of the pumped storage power station in power grid frequency regulation are improved, and the frequency modulation performance of a unit under different working conditions can be comprehensively evaluated.

The invention discloses a network-source collaborative primary frequency modulation optimization method and system based on reinforcement learning, and relates to the technical field of power dispatching and power generation, and the method comprises the steps: constructing a hierarchical reinforcement learning framework, and based on a high-level strategy network, taking system frequency deviation, frequency modulation demand prediction and a unit operation state as input, and outputting a dynamic frequency modulation weight vector; based on an underlying strategy network, taking the dynamic frequency modulation weight vector and the real-time frequency deviation as input, outputting an output adjustment instruction of each frequency modulation unit, and performing real-time verification on the output adjustment instruction; and if the verification is not passed, triggering a strategy re-planning mechanism to iteratively calculate a new instruction. The technical problems that an existing frequency modulation method cannot effectively cope with frequency fluctuation caused by large-scale renewable energy access, the response speed is low, and the frequency modulation precision is low are solved, efficient power grid frequency adjustment under renewable energy access is achieved through hierarchical reinforcement learning optimization, and the frequency modulation efficiency is improved. And the primary frequency modulation efficiency and precision are improved.

The invention discloses a power grid frequency coordinated regulation and control method and device based on coordination of three defense lines, and the method comprises the steps: carrying out the control cost analysis, constructing an interconnected power grid active frequency response model based on the control cost analysis, and building an active frequency response control strategy of coordination of the three defense lines on this basis, wherein the three defensive lines comprise prevention control, emergency control and correction control, and finally, a target function is constructed by taking the minimum total cost of the three stages of prevention control, emergency control and correction control as a target, so that the optimization space for coordinated operation of the three defensive lines for power system frequency stability is improved, and the control target of safety and economy coordination is further realized. The relationship between the control cost and the system frequency safety is coordinated, and the purpose of safe and economic cooperative control of the alternating-current and direct-current hybrid system for the frequency stability problem is achieved.

The invention discloses a frequency-locked loop of a self-adaptive delay signal elimination filter, which comprises a first filter, a second filter, a Park transformation module, a low-pass filter, an amplitude normalization module, an inverse Park transformation module, a frequency estimation module and a low-pass filter, and is characterized in that the first filter is used for eliminating higher harmonics, the second filter is used for eliminating low-order single harmonics, and the amplitude normalization module is used for normalizing the amplitude of the inverse Park transformation module. A signal passing through the filter is converted into a direct current component under a dq coordinate system through the Park conversion module, high-frequency clutter is filtered out through the low-pass filter, then the signal enters the amplitude normalization module, the signal amplitude is standardized to be 1, the signal is recovered into an alternating current signal through the reverse Park conversion module, the alternating current signal is input into the frequency estimation module, and the frequency estimation module estimates the frequency of the signal. And finally, a stable power grid frequency estimation value is obtained after processing by a low-pass filter. The invention aims to eliminate rounding errors and introduce a novel prefilter with relatively small time delay, so that the dynamic and steady-state performance of the first-order frequency-locked loop is improved.

The invention discloses a new energy power grid optimization scheduling method considering AGC frequency base value adjustment, which belongs to the technical field of new energy power grid optimization, realizes source and load collaborative optimization by dynamically adjusting a system frequency base value, and comprises the following steps: establishing a load and frequency dynamic response model; setting a safety boundary of frequency base value adjustment; constructing an optimization model taking a frequency base value as a core; and solving a dynamic optimization result. According to the method, firstly, the incidence relation between the load power and the frequency is quantitatively analyzed, meanwhile, the frequency safety constraint is considered, and a power grid frequency base value active adjustment model is established; and then, establishing a power balance constraint of interaction of thermal power, wind power and load, taking the sum of the thermal power cost and the wind curtailment penalty as a target, providing a power grid optimization scheduling method, reducing the wind curtailment rate, and improving the effectiveness and feasibility in the aspects of operation economy.

The invention belongs to the technical field of power plant equipment safety monitoring, and particularly relates to a modular system for power plant steam turbine risk monitoring and an implementation method, and the system comprises an external impact quantification module which is used for receiving power grid frequency data in real time, and calculating and generating normalized dynamic impact characteristic parameters; the multi-physics field coupling modeling module is used for calculating and outputting a dynamic risk potential; the dynamic risk assessment and prediction module is used for assessing the current risk level and predicting the expected critical time of the key component; and the cooperative control instruction generation module is used for generating an automatic control instruction in response to the risk level and the expected critical time output by the dynamic risk assessment and prediction module. According to the invention, early potential risks can be accurately identified and quantified before fault features are completely displayed; a safety monitoring mode is promoted to a brand new level of beforehand prediction and active avoidance from post-event response, and precious time is won for preventive intervention.

The invention discloses a digital video tampering detection method and system based on power grid frequency, and the method comprises the steps: deleting the visual content in a digital video to obtain the power grid frequency, enabling the power grid frequency to be embedded in a noise component of the digital video in an optical form, and carrying out the average processing in a column direction to obtain a line signal; filling the row signal of each frame in the idle time period to be zero, splicing all frames to construct a one-dimensional time sequence, and tracking a power grid frequency signal estimated value through S transformation; and matching the obtained power grid frequency signal estimation value with a reference frequency, and determining whether the digital video is tampered or not through frequency abrupt change. The invention aims to solve the problems of incomplete and distorted power grid frequency signals caused by time distortion in existing video power grid frequency estimation and the problem that high-precision extraction of the power grid frequency signals is restricted by complex background interference in a video recording process. Power grid frequency signals are accurately extracted, and high-precision detection and stable identification of video tampering behaviors are realized.

The invention discloses a distributed energy power control method and system, and relates to the technical field of power control, and the method comprises the following steps: obtaining first data, constructing a multi-layer frequency deviation index based on the first data, and constructing a frequency response urgency feature; dynamically adjusting charging and discharging parameters based on a reinforcement learning model, and obtaining a power adjustment period according to the frequency response urgency degree characteristic; according to the power adjustment period, combining the residual electric quantity demand of the electric vehicle and the urgency of the charging deadline, quantifying the user demand constraint as a charging priority; a distributed optimization objective function is established according to the power grid frequency stability, the charging priority and the energy cost, and an optimal power distribution scheme is solved through a genetic algorithm; and synchronizing the state of each node based on the optimal power distribution scheme, and distributing the charging and discharging power of each electric vehicle in the region. The charging and discharging power of the electric vehicle can be quickly and reasonably allocated, the frequency deviation is effectively inhibited, and the stability and reliability of a power grid are remarkably improved.

The invention relates to a new energy frequency support remote measurement and control device and method, and the device comprises an acquisition assembly which is used for collecting three-phase voltage and current analog quantity signals, and calculating the real-time active power and power grid frequency; the logic component is used for processing the analog quantity data acquired by the acquisition component and carrying out dynamic performance evaluation calculation of one-time frequency modulation and inertia response; the communication component is used for receiving a test instruction issued by a remote scheduling master station and remote signaling and telemetering data sent by the primary frequency modulation device, forwarding the test instruction and the remote signaling and telemetering data to the logic component, receiving a control instruction of the logic component and sending the control instruction to the frequency generator; the frequency generator is a programmable frequency signal source, and the output end of the frequency generator is connected to a frequency measurement loop of a primary frequency modulation device in the new energy station; the man-machine assembly is used for outputting alarm state data and working state information of each assembly; and the power supply assembly is used for providing a working power supply for each assembly. The method can be widely applied to the technical field of new energy power generation grid-connected control.

The application provides a wind power frequency modulation droop coefficient correction method and system considering the influence of delay characteristics, establishes a system frequency response model considering wind power frequency modulation delay characteristics and speed recovery control, obtains a system transfer function through the system frequency response model, and obtains system frequency key indexes through analytical solution; analyzes the influence mechanism of the delay characteristics on the power grid frequency dynamics, determines the relationship between each key index and the delay; on the basis of the relationship result, the droop control coefficient is corrected, so that the system frequency minimum point meets the preset requirement. The application can effectively improve the system frequency minimum point, so that the system frequency minimum point is consistent with that when the delay characteristics are not considered.

The present invention discloses a method for high-precision and rapid calculation of power grid frequency, which comprises the following steps: a high-speed acquisition card acquires a secondary voltage signal of the power grid; the voltage signal is subjected to high-precision analog-to-digital conversion; the converted signal is subjected to a high sampling rate to acquire a voltage signal; the voltage signal is resampled; the resampled signal is subjected to frequency calculation; the position of the sampling point where the primary threshold is located is obtained by verifying the resampling period using a threshold and a secondary threshold in sequence; the resampled signal is restored to the original signal and high-precision frequency calculation is performed again; and the actual frequency of the power grid is obtained. The present invention greatly reduces the amount of calculation without changing the frequency calculation accuracy, saves calculation time, and ensures the accuracy and real-time performance of the power grid frequency calculation. At the same time, the secondary threshold introduced in the method eliminates the influence of interference signals, avoiding calculation errors caused thereby.

The application discloses a flywheel energy storage-based active quick-response frequency stabilization method and system for an isolated network, and relates to the field of power grid control.The method comprises the following steps: collecting a frequency signal of an isolated power grid in real time, fitting the frequency signal, and obtaining a smooth frequency value and a frequency change rate; when the absolute value of the frequency change rate exceeds a dynamic starting threshold, acquiring frequency deviation time series data of a preset time length to generate a disturbance event analysis window; extracting a frequency deviation signal in the disturbance event analysis window, performing time-frequency conversion on the frequency deviation signal, and generating a time-frequency spectrum diagram; based on the time-frequency spectrum diagram, decomposing the frequency deviation signal into a fundamental component and at least one overtone component, extracting a morphological feature parameter, and generating a disturbance image; setting a target state and a constraint condition of frequency recovery according to the disturbance image, determining a frequency recovery trajectory; and based on the frequency recovery trajectory, cyclically executing a control strategy until the power grid frequency is stabilized in a preset frequency range.