59 results about "Automatic Generation Control" patented technology

The invention discloses a rapid communication and redundancy control method for an AGC substation of a distributed photovoltaic power station, and the method comprises the following steps: S1, receiving an automatic power generation control instruction from a power grid dispatching system in parallel and uploading real-time operation data of the photovoltaic power station through two independent communication links; according to the invention, the reliability and robustness of the system are fundamentally improved; by constructing a physical basis of parallel work of two paths of independent communication links and combining real-time state monitoring and a millisecond-level rapid switching mechanism, the method thoroughly changes the fragile situation that the whole substation is disconnected and the function is paralyzed due to a single communication channel or a power supply fault of a traditional system; when the main optical fiber link is interrupted due to construction damage or equipment failure, the system can automatically and seamlessly switch all communication services to the standby Ethernet or wireless link without depending on manual intervention, and it is ensured that the transmission path of the scheduling control instruction is always smooth.

The invention relates to the technical field of power dispatching, in particular to a new energy active automatic power generation control parameter setting method and system, and the method comprises the steps: synchronizing the external conditions of a power grid, and completing AGC modeling and power grid modeling; setting a control parameter range, a setting step length and test verification time which need to be set to form a control parameter combination to be set, and starting a control closed-loop simulation test from the first group of control parameter combination; acquiring initial power flow and frequency, calculating regional control deviation, and decomposing the regional control deviation to form a control strategy; executing the control strategy, calculating the power flow and frequency of the power grid at the next moment when the strategy is executed, and carrying out alternate iteration until the test verification time is reached; calculating a control performance index in the verification time, and recording the performance of the current control parameter combination; selecting a next group of control parameter combinations, and repeating the closed-loop simulation test process until all the control parameter combinations are traversed; and selecting a control parameter combination meeting a set condition to generate a recommendation report.

The invention belongs to the technical field of automatic power generation control, and particularly relates to an automatic power generation control method, device and system based on an energy management system. The method comprises the following steps: S1, acquiring real-time operation data of a power grid; s2, according to the real-time operation data of the power grid, through a pre-trained load prediction model and a pre-trained generating capacity prediction model, obtaining a predicted load and a predicted generating capacity in a period of time in the future; s3, according to the predicted load, the predicted generating capacity, the power grid real-time operation data and preset strategy generation parameters, a control strategy is generated through a strategy generation model, and the control strategy comprises output of each power generation device and / or energy storage device; and S4, executing the control strategy, and correcting strategy generation parameters in the strategy generation model through an optimization algorithm according to an execution result of the control strategy. The technical problem that the stability of a power system is affected due to the lack of feedback of a control strategy execution result in the prior art is solved.

The application discloses a kind of offshore wind farm automatic power generation control flow field dynamic modeling methods, comprising the following steps: data sampling is carried out using CFD simulation, obtains data set;Data is collected and arranged;Eigen-orthogonal decomposition is used for order reduction processing;Offshore wind farm automatic power generation control flow field dynamic model based on yaw, variable pitch, speed regulation process and its disturbance process is constructed.The application can effectively overcome the shortcomings that the data set obtained by high-precision wind farm flow field dynamic simulation is large in structure and difficult to apply directly, and the dynamic reduced-order model of the wind farm flow field obtained can greatly compress the data structure, retain the main characteristics of the flow field, and has high wake prediction accuracy.

The application discloses a wind-solar-thermal-storage automatic power generation control method based on closed-loop rolling optimization and belongs to the technical field of new energy grid connection and automatic power generation control. The method collects system frequency deviation, tie-line exchange power deviation and wind power, photovoltaic and thermal power station operation states in real time, establishes a wind-solar-thermal-storage coupling state space prediction model, takes the system frequency deviation and power increment of each power generation unit as a prediction output, takes a control increment as a decision variable, constructs a model prediction control objective function, and solves the control sequence under the constraints of active power balance, output boundary and thermal power unit climbing to realize closed-loop AGC control, improve the collaborative frequency modulation capability and operation stability of the multi-energy complementary system.

The invention discloses a wind storage automatic power generation control optimization method, and relates to the technical field of power system stability control, and the method comprises the steps: constructing an automatic power generation control model containing a wind turbine generator and an energy storage system, introducing a per-unit coefficient by the wind turbine generator through droop adjustment and a virtual inertia response strategy, and building an open-loop transfer function, the energy storage system adopts a first-order inertial model; constructing an improved MPC control model fused with the PIDN, connecting a feedforward control component of the MPC with a feedback control component of the PIDN in parallel, and generating a unified control signal to drive a wind turbine generator and an energy storage system to perform power adjustment; and carrying out global optimization on model predictive control MPC parameters by adopting an STOA algorithm and taking ITAE indexes of frequency deviation and tie line power deviation as optimization targets. According to the method, the system frequency stability and the power regulation precision are effectively improved, and the dynamic performance and the robustness of wind and storage combined participation in automatic power generation control are enhanced.

The invention relates to the technical field of automatic power generation control and frequency stabilization of a power system, in particular to a system economic frequency control method, system and equipment considering vibration area constraint, and the method comprises the steps: constructing a power dynamic model containing a variable speed pumped storage group VSPS; the method comprises the following steps: establishing an economic optimization model of vibration avoidance, taking minimization of the total adjustment cost of a system as a target, adopting quadratic form adjustment cost representation, introducing VSPS unit vibration area inequality constraints and an auxiliary variable gamma for relaxation power balance constraints, constructing a Lagrange function and designing a distributed primitive-dual solution algorithm for the economic optimization model, and solving the VSPS unit vibration area inequality constraints. According to the algorithm, non-negativity of dual variables is ensured by adopting adjustable positive step length parameters and utilizing a forward projection operator, and original variables and the dual variables are iteratively solved; by matching the power dynamic model with the steady-state condition of the algorithm, the anti-vibration economic AGC which can be directly embedded into the existing AGC structure is exported and realized, and the anti-vibration economic AGC is applied.

The invention discloses a power load prediction method and system based on a twin network, and belongs to the technical field of power system operation and control. The method comprises the following steps: collecting a dispatching side automatic power generation control instruction sequence, a unit side distributed control system output sequence and a cross-domain gateway timestamp, calculating a physical communication time delay sequence, constructing a physical constraint mask, and generating a training sample set according with a causal law; constructing a twin neural network containing physical constraints, and extracting an instruction expectation feature vector and a unit response feature vector; time delay fluctuation characteristic indexes are generated through time domain fluctuation analysis, dynamic alignment constraint topology is constructed, and sequence alignment is executed; and generating a global power prediction sequence based on physical residual compensation, and outputting a predicted value through consistency measurement and gating verification. The method solves the prediction problem of communication delay jitter and unit thermal inertia coupling, improves the prediction precision and the power grid stability, and is suitable for power load prediction in a complex network environment.

The invention discloses a hybrid energy storage configuration optimization method and device based on clustering analysis, equipment and a storage medium, and relates to the technical field of power systems, and the method comprises the steps: carrying out the feature extraction of a target automatic power generation control instruction, obtaining a target multi-dimensional feature vector, carrying out the standardization processing of the target multi-dimensional feature vector, and obtaining a target multi-dimensional feature vector; obtaining a standardized target multi-dimensional feature vector; determining an instruction mode type corresponding to the standardized target multi-dimensional feature vector based on the standardized target multi-dimensional feature vector and the obtained mapping relation; based on the instruction mode type, determining an initial hybrid energy storage configuration scheme; and based on the initial hybrid energy storage configuration scheme, the output of the thermal power generating unit and the target function, optimizing the initial hybrid energy storage configuration scheme to obtain a final hybrid energy storage configuration scheme. According to the method, feature extraction is performed on the target automatic power generation control instruction, so that the instruction mode type can be accurately determined, and the adjustment precision of the hybrid energy storage system is improved.

The application discloses a two-stage automatic power generation control active power distribution method and system, and belongs to the technical field of automatic control of power systems, and comprises the following steps: collecting current active power output, minimum active power output, maximum active power output of each generator set participating in automatic power generation control and active power interval endpoints representing vibration zones of each generator set, and constructing vibration zone sets and non-vibration operation sets of the generator sets; the sum of current active power outputs of all participating generator sets is calculated, a total active power deviation is calculated according to a total active power set value, and the total active power deviation is compared with a preset small load threshold value. The application introduces vibration zone intervals and vibration distance functions through mathematics, explicitly incorporates the vibration risk of the generator set into an AGC active power distribution optimization model, mathematically restricts the operation point of the generator set from the vibration zone, and improves mechanical safety and stability of operation of the generator set.

This invention proposes an adaptive speed-SOC limiting control method for magnetic levitation flywheels oriented towards AGC (Automatic Generation Control). The method includes: acquiring real-time speed and real-time SOC of the flywheel energy storage system; setting speed and SOC thresholds; and classifying the flywheel operating state into three categories based on the real-time speed and SOC, combined with the speed and SOC thresholds, and executing corresponding cooperative limiting control strategies. This invention implements differentiated cooperative limiting control strategies for different states: in normal conditions, it fully responds to AGC commands; when SOC exceeds the limit, it limits the maximum charging and discharging power in the corresponding direction; when both limits are exceeded, charging and discharging in the dangerous direction is prohibited, and only adjustment in the safe direction is allowed. This mechanism solves the problems of speed and SOC control being disconnected in existing technologies, and rigid cutoff upon reaching the threshold. It achieves cooperative judgment and intervention of speed and SOC, maximizing the continuity and response accuracy of AGC frequency regulation while ensuring the mechanical safety of the equipment, and avoiding unnecessary shutdowns or power surges caused by exceeding the limit of a single parameter.

The invention belongs to the technical field of source network coordination control, and particularly relates to a hydroelectric generating set source network coordination control parameter dynamic optimization method fusing historical context and an improved multi-target whale algorithm, a related system, equipment and a storage medium. Aiming at the problems of poor adaptability of control parameters, conflict of multi-target optimization, lack of historical working condition reference and the like in the process that a hydroelectric generating set participates in primary frequency modulation of a power grid and AGC (Automatic Gain Control), the method comprises the following steps: acquiring and preprocessing multi-source heterogeneous data, mining context information of historical working conditions to generate initial optimization parameters, and extracting real-time working condition characteristics and constraint conditions; and constructing a multi-objective optimization model fusing assessment of two detailed rules and unit performance, solving optimal control parameters by adopting an improved multi-objective whale algorithm, executing the optimal control parameters, and dynamically adjusting the parameters in combination with an online rolling optimization mechanism. According to the method, the source-network coordination response speed, the control precision and the operation economy of the hydroelectric generating set are effectively improved, the power grid assessment risk is reduced, and the method is adaptive to a novel power system under high-proportion new energy permeation.

The invention provides a flywheel energy storage power grid frequency modulation method and system based on adaptive state management. The method comprises the following steps: acquiring a frequency deviation and an automatic power generation control instruction of a power grid in real time, and calculating an original frequency modulation power demand based on the frequency deviation and the automatic power generation control instruction; acquiring the flywheel rotating speed in real time, and calculating the charge state of a flywheel energy storage unit based on the flywheel rotating speed; calculating a capability weight coefficient according to the state of charge and the direction of the original frequency modulation power demand, the direction of the original frequency modulation power demand comprising a charging instruction and a discharging instruction; calculating to obtain a final power instruction based on the capability weight coefficient and the original frequency modulation power demand; and sending the final power instruction to a flywheel energy storage unit to enable the flywheel energy storage unit to execute corresponding charging and discharging operations. According to the invention, the frequency modulation strategy can be dynamically adjusted by combining the real-time demand of the power grid and the flywheel charge state, and continuous, stable and safe frequency modulation control is realized.

The application discloses a kind of network type energy storage power station inner and outer ring frequency domain decoupling scheduling method comprising the following steps: collecting grid-connected point frequency and decomposing into low-frequency steady-state and high-frequency transient component, by station controller combining equipment state calculation virtual mechanical power bias, converter generates transient compensation power based on high-frequency component, guarantee transient power and anti-saturation output final instruction.The application will be connected point frequency deviation be decomposed into low-frequency steady-state component and high-frequency transient component by low-pass filter, by station coordination controller according to automatic power generation control target and each converter state of charge margin, health degree and communication time delay calculation reference virtual mechanical power bias quantity, by network type energy storage converter according to high-frequency transient component and frequency change rate executes virtual synchronous generator control generation transient active compensation power, improve the frequency support capability under weak grid scene and station steady-state active tracking precision.

The invention discloses an automatic power generation control method and a related device, and relates to the technical field of automatic power generation of a power system.The automatic power generation control method comprises the steps that an operation parameter set of a generator set is obtained, the set comprises an operation parameter set corresponding to at least one power generation type, and an automatic power generation control algorithm function block is called to process the operation parameter set; and determining a power generation type corresponding to each operation parameter group in the set, controlling the function block to execute a target algorithm program matched with the power generation type corresponding to each operation parameter group, processing the operation parameter groups to obtain an operation control parameter set corresponding to the generator set, and finally sending the operation control parameter set to the generator set. According to the invention, each automatic power generation control algorithm program corresponding to different power generation types is packaged in the function block, and the operation control parameter set of the generator set is obtained after the processing of the target algorithm program, so that the cooperative automatic power generation control of the operation parameter sets of the generator sets of different power generation types is realized.

A kind of pumped storage and new energy generation collaborative automatic generation control method, including multiple control cycles, each control cycle includes the following steps: collecting multiple parameter data of power system, and calculating economic power purchase value according to the data collected;According to the situation of data acquisition, the operating mode of control system is switched;In grid-connected state, control system generates operation control instruction;The operation control instruction is sent to operating equipment by wireless communication or hardwired form, and a control cycle is completed.The present application can guarantee the power grid power, frequency stable condition to improve the penetration rate of new energy as far as possible, while improving the economic benefit of pumped storage power station and power grid auxiliary service ability of wind and light power station joint transmission system.

This invention discloses an auxiliary frequency regulation system based on variable load in a power plant, comprising a 220kV high-voltage busbar, a main transformer, a distributed control system (DCS), a remote terminal unit (RTU), a power measurement device, a generator, a high-voltage station service transformer, a 6kV station service busbar, a load transformer, and a variable load system. The coal-fired generator is connected to the main transformer and the high-voltage station service transformer via the power measurement device. The main transformer is connected to the 220kV high-voltage busbar via a first switch. The high-voltage station service transformer is connected to the 6kV station service busbar via a second switch. The 6kV station service busbar is connected to the high-voltage side of the load transformer via a third switch. The low-voltage side of the load transformer is connected to a large-capacity load via a power control device. The DCS establishes a communication connection with the power control device to participate in the unit's AGC (Automatic Generation Control) process, effectively improving the power plant's response speed to AGC commands, assisting in unit frequency regulation, meeting the requirements of power grid performance indicators, and increasing the economic benefits of power generation enterprises.

The application discloses a kind of automatic generation control method and system for wind-light-storage combined system, it is related to electric power control technical field, the method includes: real-time acquisition wind-light-storage combined system instruction and active power measured value;Residual value is determined based on wind-light-storage combined system instruction and active power measured value;Residual statistics is determined based on residual value;Residual fault detection result is obtained based on residual statistics and threshold rule;Using fault mitigation strategy, correction instruction is obtained based on residual fault detection result;Determine allocation strategy based on input instruction;Determine wind farm AGC instruction, photovoltaic power station AGC instruction and energy storage power station AGC instruction based on allocation strategy and correction instruction.The application can improve the control accuracy of AGC and the overall stability of wind-light-storage combined system.

This invention relates to the field of automatic generation control technology for power systems, and discloses an intelligent control method for primary frequency regulation of thermal power units. This invention acquires real-time power grid operating data, including grid frequency signals, actual unit power generation, and main steam pressure. Based on an XGBoost regression model, it obtains the predicted grid frequency, calculates the predicted frequency deviation, and calculates a feedforward compensation command based on the deviation. It then dynamically adjusts the proportional and integral coefficients of the PID controller based on the grid frequency signal and the actual unit power generation, resulting in an adjusted PID controller. The actual measured grid frequency deviation is input to the adjusted PID controller to obtain a feedback correction command. The feedforward compensation command and the feedback correction command are weighted and summed to obtain a comprehensive primary frequency regulation command. This dynamic adjustment of the PID controller parameters reduces the possibility of parameter overshoot or even oscillation during frequency regulation, thus improving the stability of thermal power unit operation.

The invention discloses a flywheel energy storage auxiliary wind power frequency modulation control method and a related device, which can monitor the frequency deviation and tie line power deviation of two regional interconnected power systems so as to obtain a regional control error ACE; generating a frequency modulation instruction by using the frequency deviation, the tie line power deviation and the ACE through automatic power generation control; a PI controller is adopted to carry out charging and discharging control on a flywheel energy storage system according to the frequency modulation instruction, and when the system frequency rises, flywheel energy storage is controlled to absorb the active power of a power grid; and when the frequency of the system is reduced, the flywheel energy storage is controlled to release the stored energy, the flywheel energy storage is coordinated with the thermal power generating unit to adjust the ACE, then the frequency modulation instruction is continuously generated according to the adjusted ACE, and the cycle is repeated. According to the invention, the frequency stability and economical efficiency of high-proportion wind power integration can be obviously improved.

The invention provides a safety anti-misoperation control system and method for an energy storage power station. The system comprises a data acquisition module, a data processing module and a data processing module, wherein the data acquisition module is configured to acquire power operation data of the energy storage power station; the operation condition identification module is configured to identify the operation condition of the energy storage power station based on the power operation data to obtain an operation condition category; the control instruction verification module is configured to perform multi-dimensional verification on control instructions received by the automatic power generation control system and the automatic voltage control system, and judge whether the control instructions are abnormal or not; the anti-misoperation decision-making module is configured to determine emergency active power or emergency reactive power based on local measurement data if the control instruction is abnormal, and control the energy storage power station to operate at the emergency active power or the emergency reactive power, so as to solve the problem that when the control instruction of the current automatic power generation control system and the automatic voltage control system is abnormal, the emergency active power or the emergency reactive power cannot be used. And the system cannot perform inspection and cannot automatically provide an emergency scheme for emergency operation of the energy storage power station.

The application discloses an automatic power generation control method and system of an active power distribution network, and comprises the following steps: obtaining operation parameter data information of a target active power distribution network; constructing a linear power flow equation matrix of the target active power distribution network based on a Koopman state space dimension transformation method; constructing an active power optimization control model of each power distribution area in the target active power distribution network and solving the model; calculating real-time sensitivity of a voltage of a grid connection point of each power distribution area in the target active power distribution network to active power of the power distribution area; adjusting active power of each photovoltaic inverter in a regulation area of each power distribution area in the target active power distribution network; performing secondary adjustment on the active power of each photovoltaic inverter in the target active power distribution network; and completing automatic power generation control of the active power distribution network. The application not only realizes automatic power generation control of the active power distribution network, but also has higher reliability and better accuracy.

Disclosed in the present invention are a wind-solar-thermal-storage coordination-based advanced pre-control method and system for a high-proportion renewable energy power grid. The method comprises: establishing an automatic generation control (AGC) system control zone at a power grid dispatching and control center; performing advanced pre-control scanning on wind-solar-thermal-storage resources according to a fixed cycle, so as to periodically acquire data for advanced pre-control; calculating a renewable energy generation pre-control deviation and a power load pre-control deviation; calculating power grid regulation advanced pre-control requirements; determining pre-control regulation capabilities of the wind-solar-thermal-storage resources, and calculating reserve distribution coefficients of different types of pre-control regulation capabilities; on the basis of the power grid regulation pre-control requirements, the pre-control regulation capabilities and the corresponding reserve distribution coefficients, determining whether it is necessary to activate advanced pre-control; and on the basis of a determination result, allocating the corresponding pre-control requirements and allocating regulation units. Compared with a traditional method, the present invention can optimize power grid regulation requirements, and improve the safe operation level of a power grid.

The invention belongs to the technical field of power automatic control, and discloses a multi-type energy collaborative power automatic control method, system and device and a medium, so as to solve the existing problems. The method comprises the following steps: constructing a double-layer market optimization model based on multi-subject physical characteristics and operation constraints; an optimal response algorithm is adopted, the double-layer optimization model is solved on a computing device, a scheduling instruction set executed by a follow-up automatic power generation control system is output, and the scheduling instruction set comprises standby capacity instructions distributed to primary frequency modulation and secondary frequency modulation of all energy supply units; and the automatic power generation control system issues a real-time power adjustment instruction to the corresponding energy supply unit based on the scheduling instruction set, and drives the energy supply unit to carry out power output or load adjustment according to the instruction, thereby realizing collaborative power automatic control of multiple types of energy under the condition of satisfying the physical constraint of the system. According to the invention, cooperative scheduling of multiple types of energy sources such as a traditional generator set, an energy storage system, an adjustable load unit and the like under strict physical constraints is realized.

The invention relates to the technical field of thermal power generating unit automatic power generation control performance optimization, and discloses a thermal power generating unit AGC performance index optimization method and system based on deep learning, and the method comprises the steps: obtaining and processing AGC adjustment process time sequence data, and obtaining a load change rate; grading and parameter definition are carried out based on the load change rate, and an adjustment process grading result, a core performance index and a rapid adjustment process segmentation result are obtained; constructing a model based on grading and segmentation results, and learning a mapping relation to output a starting time point of a deceleration section under rapid adjustment; and carrying out data preprocessing and dynamic optimization training on the basis of model training requirements and parameter definition to finish accurate optimization of AGC performance indexes. According to the method, the technical problems of AGC performance index distortion, low model generalization precision and weak section recognition lagging caused by inaccurate segmentation, unscreened abnormal data and unassociated deceleration section starting point and rate grade of the existing model are solved.

This invention discloses a long-term optimized operation method for a regional integrated energy system considering the physical properties of hydrogen and multi-mode utilization. The steps are as follows: 1) Clustering source-load data using a clustering algorithm to obtain k typical days and the correspondence between typical days and actual operating days, k = h(r); 2) Establishing an equipment operation model based on equipment operating parameters; 3) Establishing a hydrogen utilization model under medium- and long-term multi-mode utilization; 4) Linearizing the equipment operation model; 5) Establishing a long-term optimized operation model of the Energy System (IES) considering LHS (Local Hybridization System); 8) Obtaining real-time operating data of the energy system and inputting it into the long-term optimized operation model of the IES considering LHS to obtain a long-term optimized operation scheme for the energy system. This invention can be widely applied to the evaluation of new energy AGC (Automatic Generation Control) power plants with different installed capacities, in different regions, and with different frequency regulation performance. It can provide a useful reference for the operation control of new energy participating in the secondary frequency regulation of the power system and the distribution of revenue in the auxiliary frequency regulation market.

The present application belongs to the technical field of automatic generation control, and relates to an automatic generation control dynamic optimization method, system, equipment and medium based on imitative reinforcement learning. The method comprises the following steps: defining operation constraints and control targets of AGC dynamic optimization based on an AGC dynamic optimization problem model; modeling the AGC dynamic optimization problem as a Markov decision process model based on the operation constraints and control targets of the AGC dynamic optimization; performing imitative training on the AGC controller based on offline expert experience data, completing strategy initialization, and obtaining an initialized AGC strategy; performing online interactive training on the AGC controller based on the initialized AGC strategy, solving the strategy of the Markov decision process model, realizing iterative updating of the AGC controller, and obtaining an optimal AGC strategy. The method solves the problem that key operation constraints of automatic generation control under a traditional artificial intelligence training framework cannot be satisfied.

The application provides a multi-scale multi-group cognitive intelligent scheduling and control method for a comprehensive energy system, which comprises a multi-time scale fusion control framework and two modules, the first module is a control module based on adaptive noise complete ensemble empirical mode decomposition and time series prediction, and the second module is a scheduling module based on adaptive noise complete ensemble empirical mode decomposition and bidirectional long short-term memory network prediction and fusing an artificial behavior cognitive knowledge matrix. The method takes a frequency deviation sequence of the comprehensive system, a regional control deviation sequence, user behavior and climate factors as inputs, and outputs an automatic generation control unit control instruction updated every 4 seconds and a non-automatic generation control unit scheduling instruction updated every 5 minutes and 60 minutes through the control module and the scheduling module respectively. The method can solve the problem of incoordination between generation control and economic scheduling in the comprehensive energy system, improve the control precision and reduce the frequency deviation.

The invention discloses an AGC-oriented information system fault scene generation method and system, and belongs to the technical field of power dispatching automation, and the method comprises the steps: building an information system fault propagation path; on the basis of the information system fault propagation path, combining spatial distribution characteristics of nodes and branches, and calculating association degrees including node-node association degrees, node-branch association degrees and branch-branch association degrees; calculating the criticality of a single node based on the generalized in-degree and the generalized out-degree, and calculating the comprehensive criticality of the single branch based on the nodes at the two ends of the single branch and the occurrence frequency; key fault point screening is carried out on the recursively expanded N-k fault point set based on a comprehensive score screening threshold, and an information system N-k fault point set is obtained; and on the basis of the N-k fault point set of the information system, constructing a fault scene generation model for generating a fault scene set. According to the method, the calculation efficiency is improved, so that a multi-fault scene in a complex power grid can be dealt with more accurately.

This application relates to the field of power system control technology, and more particularly to a frequency regulation control optimization method, system, and storage medium based on a wind-storage-energy storage combined system. On one hand, a rotor kinetic energy strategy is used to control the wind turbine system for frequency regulation to provide frequency support, while the energy storage battery compensates for the power reduction caused by the water hammer effect in pumped hydro storage and supports the recovery of wind turbine speed, realizing the complementary advantages of wind and energy storage resources. On the other hand, the coordinated power compensation of the pumped hydro storage system and the energy storage system overcomes the dead zone difference between the actual output of the thermal power system and the automatic generation control commands. The aim is to solve the problem of how to improve the frequency stability of the power system.