257 results about "Electrical network frequency" patented technology

The invention provides a power grid frequency modulation power energy coordination control method and system based on a super capacitor, and relates to the technical field of power grid frequency modulation, and the method comprises the steps: carrying out the time-frequency analysis of a collected power grid frequency signal, obtaining a frequency disturbance characteristic value, and determining power control data through combining with an electrical parameter value of a super capacitor group; and performing nonlinear programming calculation based on the power control data to obtain a power distribution sequence, dividing the power distribution sequence into a quick response section, a dynamic transition section and a steady state maintenance section according to a preset threshold value, and solving a control value by adopting an augmented Lagrange equation, recursive least square operation and a Lyapunov function respectively. Obtaining a power control instruction; and inputting a power control instruction into the disturbance observer, calculating a dynamic error value, constructing a nonsingular terminal equation, and outputting a power regulation signal in combination with recursive minimum entropy calculation and a superhelix algorithm.

The invention relates to the technical field of steam turbine testing, in particular to a testing system for mismatch correction of a wide-load-interval thermal power generating unit speed regulation model, which comprises a thermodynamic system component, a speed regulation system device, a dynamic signal acquisition device and a control device, a dynamic signal processing module analyzes the relevance between main steam pressure sudden change and control valve opening oscillation in real time, a dynamic response database including a time sequence is constructed, and a control valve opening feed-forward compensation instruction and a combustor fuel distribution gradient adjustment signal are generated according to correction parameters. Power over-modulation wave crests caused by sudden load change are suppressed, and primary frequency modulation action delay is reduced; and the simulation verification module compares measured data with model output through an error feedback mechanism, dynamically adjusts high-pressure cylinder flow characteristic curve calibration parameters, optimizes a control strategy in combination with a network-related safety margin evaluation result, and realizes improvement of dynamic response precision in a full peak regulation interval and enhancement of power grid frequency stability.

The invention discloses a resource adjustment method and system based on power grid frequency deviation, and relates to the technical field of AGC control, and the method comprises the following steps: obtaining environment state data, and constructing an environment state vector; initializing a control agent according to a preset control mode, taking the environment state vector as input, training the control agent through a reinforcement learning reward function, and outputting a strategy action; dynamically switching the strategy action into a control strategy of the AGC controller based on a soft switching and strategy interpolation mechanism; a model prediction control method is adopted, and the power set value of the AGC control unit is optimized in a rolling mode; according to the method, the trained control agent is integrated into the AGC controller through reinforcement learning, so that the AGC controller can dynamically switch the control strategy of the AGC controller, self-adaptive selection of control actions is realized, and the power grid frequency is controlled to be stable by correcting the set value of the unit in the AGC controller and improving the control precision.

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 belongs to the technical field of power systems, and discloses a quick-response unit compatible frequency modulation method and system, and the method comprises the steps: obtaining the real-time frequency data of a power grid, and calculating the deviation between the frequency of the power grid and the standard frequency; determining a frequency adjustment amplitude by using the fuzzy control rule base, and selecting a corresponding unit response mode according to the real-time frequency change to perform frequency adjustment; on the basis of a particle swarm optimization algorithm, the optimal unit response time and power output are determined by combining the unit response capability, the frequency modulation power range and the start-stop time; and generating a frequency control instruction according to the optimal unit response time and power output, and controlling the frequency modulation unit to perform power adjustment based on the frequency control instruction to realize adjustment of the power grid frequency. According to the method, the optimal unit response time and power output can be accurately determined, the response speed and precision of frequency adjustment are remarkably improved, and the intelligent level and the overall operation efficiency of a power grid frequency modulation system are effectively improved.

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 discloses a power grid frequency prediction method and system based on a time sequence prediction algorithm, and the method mainly comprises the steps: constructing an adjacent matrix of a prediction power grid based on the topological relation between power grid sites; historical data of the power grid are selected and preprocessed, wherein the preprocessing comprises data cleaning, standardization processing and time alignment; constructing a power grid frequency prediction model which comprises an improved dynamic graph learning module, a linear space convolution layer and a time convolution layer; and inputting the adjacency matrix and the preprocessed data into a trained power grid frequency prediction model, so that the power grid frequency change in the future 10 seconds can be predicted with high precision. According to the method, the accuracy of power grid frequency prediction is improved by enhancing the learning ability of the model for dynamic characteristics.

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 relates to the technical field of power system frequency control, in particular to an intelligent control inertia support power grid system and method, and the system comprises an edge calculation unit which is used for carrying out the real-time collection of power grid data, carrying out the processing of the power grid data, obtaining the frequency deviation data, carrying out the characteristic analysis of the power grid data, and obtaining the frequency deviation data; meanwhile, detecting frequency deviation data; when in use, the method is beneficial to accurately identifying and coping with the fluctuation problem of the power grid frequency, rapidly detecting the frequency deviation and harmonic interference, rapidly responding to the frequency fluctuation, effectively reducing the frequency deviation, keeping the power output stable and avoiding overhigh-power impact, and is beneficial to improving the reliability of the system through virtual mechanical inertia support. Effective suppression capability is provided for power grid frequency fluctuation, system stability is improved, self-adaptive adjustment is facilitated, frequency modulation smoothness is guaranteed, real-time response is realized, node power output is dynamically adjusted, impact on a power grid is reduced, a frequency modulation model is continuously optimized, and accuracy and applicability of frequency modulation response are guaranteed.

The invention relates to the field of load control, in particular to a non-fixed load accurate removal method based on load control fairness and effectiveness consideration. Comprising the following steps: acquiring the frequency of a power grid system, calculating the frequency change rate, judging whether to send a'preparation for load shedding 'instruction to all substations by monitoring the frequency of the power grid system and the frequency change rate, entering a load shedding amount calculation stage, and calculating the load amount needing to be cut off in each region through a dynamic weighted load precise cutting algorithm, calculating a total load shedding amount; based on the load capacity needing to be cut off in each area, the substation optimizes the cut-off combination of the load lines in the areas, after optimization is completed, the substation executes cut-off, and the master station monitors the frequency and the frequency change rate of the power grid system after cut-off and judges whether a locking condition is met or not so as to stop further cut-off. The technical problems that power grid frequency monitoring mostly depends on low-sampling-rate equipment, the rapidly-changing frequency dynamic state is difficult to capture, and instability detection lags or misjudgments are caused are solved.

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 self-adaptive intelligent power grid regulation and control method and system, and belongs to the technical field of electric power. The method comprises the steps of firstly collecting historical operation data of a power grid, including power grid frequency fluctuation, a distributed energy output state and external disturbance information, then constructing a fractal chaotic attractor model, and deeply understanding a complex structure of dynamic behaviors of the power grid by calculating fractal dimensions and correlation coefficients of power grid state variables. Based on the model, the system can predict the stability boundary of the power grid, design fractal control signals of a self-similar structure, and inject the fractal control signals into the distributed energy control system to actively control the disturbance of the power grid. The operation state of the power grid and the external environment change are monitored in real time, fractal control parameters are dynamically adjusted through reinforcement learning, it is ensured that the control strategy is always matched with the actual working condition, and therefore the system performance is maximized. The anti-disturbance performance and the self-healing capability of the power grid are remarkably enhanced, and the energy utilization rate and the power supply quality are improved.

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 islanding micro-grid low-frequency load shedding method based on the IBWO-DDPG comprises the steps that the minimum sum of the frequency fluctuation amplitude and the load shedding cost in the islanding micro-grid load shedding process serves as a target function, and an islanding micro-grid load shedding model is constructed; the island microgrid load shedding model is described as a Markov decision process MDP; a Markov decision process MDP is solved based on an IBWO-DDPG algorithm; and performing off-line training on the intelligent agent based on an IBWO-DDPG algorithm, applying the trained intelligent agent to the island micro-grid online, and outputting an optimal load shedding strategy. According to the method, the frequency deviation problem occurring in the island micro-grid can be adjusted in time, the load is cut off with relatively low load shedding cost under the condition of considering the topological importance of the load nodes, and the stability of the frequency of the island micro-grid is guaranteed.

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 belongs to the field of active frequency support of power electronic equipment in a network-construction-type flexible direct-current power transmission system, particularly discloses a control parameter adaptive design method and system of a network-construction-type flexible direct-current converter, and aims to solve the problems of insufficient system inertia support and oscillation caused by fixed parameters in a wide-range disturbance scene. The method comprises the steps that a receiving-end converter extracts the deviation value, the change rate and the acceleration of the frequency of a power grid by monitoring the electrical quantity of a grid-connected point in real time, and the system operation state is divided into three modes of steady-state maintenance, fluctuation early warning and emergency response based on threshold judgment; calculating a virtual inertia coefficient by using a saturated nonlinear function, and cooperatively solving a damping coefficient in combination with small signal stability analysis; and establishing a virtual inertia-damping parameter feasible region and outputting the virtual inertia-damping parameter feasible region to a receiving end converter station controller. The limitation of traditional fixed parameter design under the disturbance working condition is broken through, the frequency supporting capacity of the system can be remarkably improved, and the stability problem caused by frequent parameter change is avoided.

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 an AGC and primary frequency modulation decoupling control method and device, equipment and a storage medium. The method comprises the following steps: when a frequency value of a power grid deviates from a preset rated value, carrying out primary frequency modulation on the basis of not locking an AGC load instruction; adjusting the response amplitude of the primary frequency modulation according to the primary frequency modulation and the frequency modulation direction of the AGC load instruction; and adjusting the frequency value of the power grid by using the primary frequency modulation after the response amplitude is adjusted. According to the technical scheme, the frequency modulation directions of the AGC and the primary frequency modulation are dynamically judged under the condition that the power grid frequency fluctuates frequently, and the response amplitude of the primary frequency modulation is adaptively adjusted on the basis that an AGC load instruction is not locked. The primary frequency modulation performance under the coupling working condition is improved, the overall performance of AGC and primary frequency modulation is synchronously improved, the response capability of the unit to the power grid frequency change is enhanced, and the comprehensive operation efficiency of the unit is remarkably improved.

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.