88 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 energy storage assisted thermal power generating unit frequency modulation, in particular to an intelligent thermal power and energy storage combined frequency modulation control system and method based on multi-mode switching, and the system comprises a telecontrol device, an intelligent thermal power and energy storage cooperative control system, a thermal power generating unit and an energy storage system. The telecontrol device sends an automatic power generation control instruction to the intelligent fire-storage cooperative control system and the thermal power generating unit, and according to different mode selection modes, the intelligent fire-storage cooperative control system obtains an energy storage power instruction and adjusts the output of an energy storage system by using an internally designed functional module; the thermal power generating unit obtains a unit load instruction and adjusts the output of the thermal power generating unit by utilizing an internally designed functional module, the combined output of the energy storage system and the thermal power generating unit responds to an automatic power generation control instruction, deep coupling and efficient control of the thermal power storage system are achieved, the long-term frequent and rapid frequency modulation pressure of the thermal power generating unit is relieved, and the over-temperature risk of a boiler water cooling wall is reduced. The comprehensive economy and safety of the fire storage system are improved, and the combined frequency modulation capacity of the fire storage system is improved to the maximum extent.

The invention discloses a thermal power generating unit-flywheel energy storage interconnected power grid AGC control method, device and equipment, a medium and a product, and relates to the field of automatic power generation control. The method comprises the following steps: establishing a thermal power generating unit-flywheel energy storage interconnected regional power grid AGC control system; determining that a controller in the system comprises an outer loop fuzzy PID controller and an inner loop PD + 1 controller with a filter coefficient; establishing a fuzzy control rule table of PID control parameters in the outer loop fuzzy PID controller; optimizing parameters in an inner ring PD + 1 controller by adopting a particle swarm optimization algorithm to obtain optimal parameters; an ACE deviation signal is adjusted through an outer loop fuzzy PID controller by using a fuzzy control rule table, an outer loop control signal is obtained, and then an AGC adjustment instruction is obtained by using an inner loop PD + 1 controller with optimal parameters; and decomposing the AGC adjustment instruction into a thermal power generating unit control signal and a flywheel energy storage control signal, and responding. The frequency stabilization performance can be improved.

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 invention relates to the technical field of photovoltaic power stations. The photovoltaic power station cluster power generation efficiency dynamic optimization intelligent scheduling device comprises an intelligent scheduling main cabinet, the front end of the intelligent scheduling main cabinet is movably connected with a gate, and the interior of the intelligent scheduling main cabinet is correspondingly connected with a communication module, a central controller and a data acquisition module. An automatic power generation control system and an emergency control function are connected to the center of the intelligent dispatching main cabinet, an adjusting device is fixedly connected to a top plate groove in the top of the intelligent dispatching main cabinet, the adjusting device comprises a rotating device, a driving device and an angle adjusting device, the driving device is a core power component, and the bottom of the driving device is fixedly connected with the top of the rotating device. When the monitoring angle needs to be adjusted, the rotating device rotates and adjusts at first, and then the driving device drives the angle adjusting device connected to one side of the driving device to rotate and adjust synchronously, so that the sensing assembly keeps the optimal sensing angle all the time, and the accuracy of environmental parameter acquisition is ensured.

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 relates to a method and device for determining the reserve capacity of a water-wind-light power generation system and electronic equipment, and the method comprises the steps: obtaining a target data set; inputting the meteorological data, the power grid state data and the water-wind-light regulation data into an output probability prediction model of the water-wind-light complementary power generation system to obtain probability distribution of water-wind-light power generation power; performing space-time correlation characteristic analysis on the automatic power generation control instruction to obtain an instruction space-time coupling relation matrix of the water-wind-light complementary power generation system; according to the probability distribution of the water-wind-light power generation power and the instruction space-time coupling relation matrix, determining a water-wind-light output fluctuation ratio; and determining the target reserve capacity according to the water-wind-light output fluctuation ratio, the water-wind-light adjustment margin and the power grid frequency deviation. According to the method, the demand of the standby capacity can be more accurately determined, and the problems of unstable power grid frequency or frequency modulation resource waste and the like caused by inaccurate calculation are effectively reduced.

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 present invention discloses a method and system for collaborative optimization of intelligent master control and frequency regulation of power systems, which relates to the technical field of automated control of power systems. The method comprises the following steps: constructing a deviation function based on the real-time collected grid frequency; determining the primary frequency regulation response power based on the frequency deviation and the unit regulation parameters; dynamically superimposing the primary frequency regulation response power with the power setting value of the automatic power generation control to form a comprehensive power instruction; and dynamically adjusting the weight ratio of the primary frequency regulation and the automatic power generation control. By collaboratively optimizing the regulation actions of the primary frequency regulation and the automatic power generation control, the present invention can provide a faster response when the frequency fluctuation is large, and optimize the unit power regulation when the frequency fluctuation is small, thereby avoiding the conflict and inefficiency caused by the inconsistent regulation time scales of the two in the traditional method. This not only improves the frequency regulation accuracy of the system, but also enhances the dynamic response capability of the system.

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 hydropower station dynamic grid-connected performance self-evaluation method, system and device and a medium. The method comprises the steps of obtaining real-time operation data of a power grid; analyzing the obtained data, and evaluating the automatic voltage control performance to obtain a first dynamic grid-connected index; evaluating the performance of the excitation and power system stabilizer to obtain a second dynamic grid-connected index; evaluating the automatic power generation control performance to obtain a third dynamic grid-connected index; evaluating the primary frequency modulation performance to obtain a fourth dynamic grid-connected index; and based on the dynamic grid connection index, performing self-evaluation on the assessment index and the compensation index of the power plant, and generating early warning information. The safe and stable operation level of the hydropower station and good interaction with the power grid are improved.

The application provides a new energy station frequency control method and device considering power loss, determines an active power loss value of the new energy station and an active power instruction value that the new energy station should actually issue at a current time; determines an active power adjustment amount that the new energy station should actually issue; determines a frequency deviation of a grid connection point of the new energy station, and performs frequency control on the new energy station, thereby improving the accuracy and consistency of frequency control; the application considers the active power loss values of power generation units, power collection lines, step-up transformers and reactive power compensation devices and the like in the new energy station under different operating states, and optimizes technical indexes such as frequency modulation response time; the active power loss value of the new energy station determined by the technical scheme provided by the application is closer to the actual operating state of the new energy station, has higher reliability, and can be used in a new energy station containing multiple automatic generation control systems, and has good adaptability.

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 invention relates to an automatic power generation control method and device for a dual-mode hydroelectric generating set and electronic equipment, and the method comprises the steps: obtaining the current power generation parameters of a target hydroelectric generating set; acquiring a current automatic power generation control mode of the target hydroelectric generating set, and judging whether the target hydroelectric generating set meets a preset automatic power generation control condition or not; under the condition that the preset automatic power generation control condition is met, corresponding unit adjusting parameters are matched based on the current power generation parameters, active power in the current automatic power generation control mode is calculated under the control of the unit adjusting parameters, and the unit adjusting parameters are adjusted based on the active power; and the power generation power in the current automatic power generation control mode meets a preset effective condition. Therefore, the technical problems that in related technologies, automatic power generation control and adjustment parameters of a double-adjustment type water motor are poor in adaptability, unit adjustment performance, safety and stability are affected to different degrees in the single parameter adjustment process, and adjustment performance indexes are difficult to meet requirements are solved.

This invention relates to the field of automatic power generation control technology, and particularly to an automatic power generation control method, system, medium, and processor for large-scale renewable energy grid integration. The invention establishes a distributed grid control mechanism, incorporating a multi-regional interconnected grid model into the grid and calculating the power allocation ratios of thermal power units, hydropower units, and electric vehicle clusters. It also calculates the regional control deviations for each region. A distributed deep reinforcement learning controller takes the corresponding region's control deviation as input, iteratively updates the controller through its internal control method, and outputs the total control power for the corresponding region. This yields the power commands for the corresponding thermal power units, hydropower units, and electric vehicle clusters. The thermal power units, hydropower units, and electric vehicle clusters execute the corresponding power commands to achieve system closed-loop operation and interact with the grid. This invention can achieve qualified CPS indicators and frequency stability for multi-regional power grids.

The invention relates to the technical field of energy management, and particularly discloses a light storage and charging integrated smart energy management system, which comprises a data acquisition and monitoring module. An automatic power generation control module; a communication module; a network security monitoring module; an optical power prediction transmission module; an electric energy meter data transmission module; through cooperation of a data acquisition and monitoring module, an automatic power generation control module, a communication module, a network security monitoring module, an optical power prediction transmission module and an electric energy meter data transmission module, multi-dimensional power decomposition can be carried out by adopting an intelligent distribution strategy according to a real-time adjustment instruction or a scheduling power generation plan curve of a scheduling master station; a progressive processing algorithm is adopted for staged adjustment, it is ensured that power control is not interrupted, the grid-connected power requirement of a dispatching end for a wind power occasion or a photovoltaic electric field is met, precise control over the power of a new energy field station is achieved, the requirements of a power grid for the power change rate and the adjustment precision are met, and the equipment operation mode is optimized.

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.

The invention discloses a thermal repressure control system of a coal-fired power generation unit and a control method of the thermal repressure control system, and relates to the technical field of coal-fired power generation devices. A main steam input port is connected with an input end pipeline of a high-pressure cylinder, and a height adjusting valve is arranged on the pipeline; the main steam input port is connected with an input end pipeline of the reheater, and a high side is arranged on the pipeline; the output end of the medium-pressure cylinder is connected with the first low-pressure cylinder and the second low-pressure cylinder through pipelines, and butterfly valves are arranged on the pipelines. The output end of the reheater is connected with a condenser pipeline, and a low side is arranged on the pipeline; the output end of the reheater is connected with the input end of the medium-pressure cylinder through a pipeline, and a medium adjusting valve is arranged on the pipeline. And the output end of the reheater is connected with an external steam interface pipeline. According to the invention, the coal-fired power generation unit automatically adapts to the steam supply requirement in a full-load range, so that the stable operation of the coal-fired power generation unit under the control of automatic power generation is supported.

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.