166 results about "Automatic Generation Control" patented technology

A distributed photovoltaic regulation method considering safety verification includes acquiring power transmission or power substation equipment limit value, load condition, and distributed photovoltaic aggregation information under equipment, calculating load rate of equipment, calculating total maximum regulation amount or the total over-limit correction amount of distributed photovoltaic power under equipment based on the load rate of equipment and a threshold value, and decomposing total maximum regulation amount or total over-limit correction amount to obtain respective total maximum regulation amount or total over-limit correction amount of each load point; and decomposing respective total maximum regulation amount or total over-limit correction amount of each load point to obtain respective maximum regulation amount or over-limit correction amount of each automatic power generation control unit, correcting respective regulation requirement and generating respective regulation target of each automatic power generation control unit, and sending respective regulation target to each automatic power generation control unit for execution.

The invention provides an automatic generation control (AGC) collaborative optimization method based on time sequence deep reinforcement learning PID (Proportion Integration Differentiation) control. Comprising the following steps: establishing a three-area multi-source interconnected power system with participation of hydroelectric power, thermal power, wind power, photovoltaic power and energy storage, and bringing wind and light storage resources into an automatic power generation control loop. The invention provides a novel AGC adaptive PID controller based on time sequence deep reinforcement learning by utilizing the time sequence perception capability of a long short-term memory neural network and combining a double-delay depth deterministic strategy gradient algorithm, and provides an efficient time sequence deep reinforcement learning solution for intelligent power grid frequency control.

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 embodiment of the invention provides a hybrid energy storage thermal power generating unit frequency modulation strategy and system based on hierarchical adaptive control, and the strategy comprises the steps: detecting the reserve capacity and hybrid energy storage charge state of a thermal power generating unit in real time, and obtaining an automatic power generation control instruction, obtaining interregional tie line exchange power and system frequency deviation, and calculating a regional control deviation frequency modulation instruction; the outer layer control is based on the relation between the residual energy of the hybrid energy storage system and a hybrid energy storage distribution scaling factor K, and self-adaptive distribution is carried out on a power grid real-time area control deviation frequency modulation instruction between the thermal power generating unit and the hybrid energy storage system; the inner layer control decomposes a regional control deviation signal distributed to the hybrid energy storage system between flywheel energy storage and battery energy storage, and calculates a rated output power instruction of each energy storage; a battery energy storage unit is divided into a charging sub-unit and a discharging sub-unit, and when any sub-unit reaches a state-of-charge boundary, a charging state and a discharging state are switched; and outputting the frequency modulation power instruction to the energy storage converter.

The invention relates to the technical field of electric power systems, and discloses a thermal storage combined frequency modulation control method, device and equipment and a medium, and the method comprises the steps: determining the working state of a heat storage device according to the load value of a thermal generator set when a frequency modulation control instruction is received; the working state comprises heat storage and heat release; based on the working state of the heat storage device and the difference value between the power of the thermal generator set and the automatic power generation control target, the opening degree value of a steam adjusting door and the first charging and discharging power value of a lithium battery energy storage system are calculated, or the opening degree value of a hot water adjusting door and the second charging and discharging power value of the lithium battery energy storage system are calculated; generating a coordination control instruction; and controlling the charging and discharging power of the lithium battery energy storage system according to the coordination control instruction, and controlling the opening degree of a steam adjusting door and the opening degree of a hot water adjusting door of the heat storage device so as to carry out peak regulation and frequency modulation on the thermal generator set. According to the technical scheme, the frequency modulation performance of the thermal power generating unit can be improved.

The invention discloses an intelligent management and control system and method for a water-based sodium-ion battery energy storage power station, and relates to the technical field of new energy, and the system comprises a data collection and monitoring module, a fault diagnosis and early warning module, an automatic power generation control module, an energy management system, a safety management module, a maintenance and operation management module, and a user interface and report module. According to the intelligent management and control system for the water-based sodium-ion battery energy storage power station, by introducing an advanced machine learning algorithm and enhanced data processing capability, the intelligent management and control system for the water-based sodium-ion battery energy storage power station can realize more accurate real-time monitoring and faster response capability, so that the operation efficiency and safety of the power station are remarkably improved; operation and maintenance cost is reduced, and stability and reliability of the power grid are enhanced. Besides, the optimal management of the system can deal with market changes more effectively, the economic benefits and environmental sustainability of the power station are improved, and important support is provided for energy transformation.

Methods, apparatus and systems for providing secondary frequency regulation support to a power transmission system. In some embodiments, a real-time central controller requests current status data from a power distribution network which includes a plurality of distributed energy resources (DERs) and at least one substation battery energy storage system (BESS). The real-time central controller also receives an Automatic Generation Control (AGC) signal from a system operator, calculates a mismatch value, determines that the absolute value of the mismatch value is greater than a predetermined tolerance, and sets an optimal setpoint value for each of the plurality of DERs and an optimal setpoint value for the BESS. In some implementations, the real-time central controller next transmits a secondary frequency response that includes the optimal setpoint values to each of the plurality of DERs and the optimal setpoint value to the at least one BESS, thus providing secondary frequency regulation support.

The invention discloses a hybrid energy storage configuration method and device, electronic equipment and a storage medium, and the method comprises the steps: obtaining an automatic power generation control signal of a power grid in a preset time period of a target region, carrying out the decomposition processing of the automatic power generation control signal based on adaptive noise complete set empirical mode decomposition, so as to determine a high-frequency component and a low-frequency component, correspondingly distributing the high-frequency component and the low-frequency component to the energy storage battery to determine a power grid energy storage output demand, configuring a battery rate and a battery capacity of the energy storage battery based on the power grid energy storage output demand, and constructing an energy storage configuration constraint model based on a constraint condition of the energy storage battery, and establishing an energy storage battery life cycle cost efficiency model and a regional power grid frequency modulation policy model, and determining the capacity configuration of hybrid energy storage in the energy storage battery when the frequency modulation benefit of the energy storage battery life cycle cost efficiency model is optimal in combination with the battery rate, the battery capacity, the energy storage configuration constraint model and the regional power grid frequency modulation policy model. And the optimal capacity configuration can be accurately selected.

The invention discloses an AGC adjustment method and system based on multi-objective optimization, and the method comprises the steps: obtaining the output, load demands and new energy output information of each generator set in a real-time operation database of a power system, and obtaining the response capability and cost data of an adjustable load through a demand side management system, the input is used for constructing a multi-objective optimization model; aiming at the constructed high-dimensional nonlinear non-convex multi-objective optimization model, adopting an improved particle swarm optimization algorithm for solving, and improving the convergence speed and the global search capability of the algorithm by introducing an adaptive inertia weight and a diversity retention mechanism to obtain a Pareto optimal solution set; and selecting an optimal frequency modulation scheme from the obtained Pareto optimal solution set according to safety and stability constraints and frequency modulation performance requirements of the power system, determining output adjustment amount and adjustment time of each generator set, and generating a corresponding automatic power generation control instruction.

The invention discloses a high-proportion new energy power grid wind-light-fire-storage collaborative advanced pre-control method and system. The method comprises the steps that an automatic generation control system AGC control area is established in a power grid dispatching control center; carrying out advanced pre-control scanning according to a fixed period, and periodically obtaining data for advanced pre-control; calculating a new energy power generation pre-control deviation and an electrical load pre-control deviation; calculating a power grid regulation advanced pre-control demand; judging the pre-control regulation capability of the wind, light and fire storage resources, and calculating standby distribution coefficients of different types of pre-control regulation capabilities; judging whether advanced pre-control needs to be started or not according to the power grid regulation pre-control requirement, the pre-control regulation capability and the corresponding standby distribution coefficient; according to the judgment result, the distribution of the corresponding pre-control demand and the distribution of the adjusting unit are carried out; compared with a traditional method, the method can optimize the power grid adjustment requirement and improve the safe operation level of the power grid.

The invention relates to a multi-stage cooperative control distributed energy regional autonomous regulation and control system, and the system comprises a provincial dispatching automation system which transmits a real-time control target from a provincial automatic power generation control module to a regional dispatching automatic power control module for decomposition and tracking execution; the local dispatching automation system uploads the power grid model and the aggregated real-time data step by step and issues a control instruction to the county distribution automation system; and the county dispatching automation system is used for executing the decomposed instructions. The invention further discloses a distributed energy regional autonomous regulation and control method based on multi-stage cooperative control. According to the invention, the real-time performance and the response speed of the system are improved; the absorption capability of the power grid on clean energy is improved, and new energy utilization is realized to the maximum extent; the data processing burden is reduced, and user privacy is protected through edge calculation; the method has a rapid emergency response capability, can rapidly adjust load distribution when a power grid breaks down or is in an emergency, and guarantees the operation safety and stability of the power grid.

The invention discloses a virtual power plant cooperative frequency modulation control method based on a multi-agent system. The method comprises the steps of building a cooperative control architecture based on the multi-agent system; obtaining a power regulation requirement of an upper-level power grid automatic generation control system; based on the power regulation requirement, calculating the optimal reference regulation power of the virtual power plant through a virtual power plant cooperative power control and information interaction mechanism joint design scheme; and based on the optimal reference adjustment power of the virtual power plant, controlling an inverter through a dynamic power control method to adjust the output of renewable energy sources in the virtual power plant so as to meet the power adjustment requirement of a superior power grid, thereby realizing the frequency modulation target of the power grid. According to the method, the operation economy can be effectively improved while the virtual power plant is utilized to assist in supporting power grid frequency modulation, the information interaction safety is ensured, the inverter control stability is ensured, and the frequency modulation reliability is improved.

The invention discloses a wind power active power coordination control method and device. The wind power active power coordination control method comprises the following steps: acquiring parameters of each wind turbine generator set, and acquiring a load prediction value and a wind power prediction value of each wind turbine generator set in real time; in the first dispatching stage, a power generation plan is compiled according to the parameters, the short-term load predicted values and the short-term wind power predicted values of all the wind power units, active power distribution is carried out on all the wind power units according to the power generation plan, and power generation tasks of all the wind power units are obtained; in the second scheduling stage, according to the real-time ultra-short-term load prediction value and the error value of the short-term load prediction value of each wind turbine generator set and the error value of the ultra-short-term wind power prediction value and the short-term wind power prediction value, the deviation value of the power generation plan is determined; and the deviation value of the power generation plan is adjusted through the cluster included in the automatic power generation control system. The wind power utilization rate can be increased, wind curtailment is reduced, economical efficiency is improved, and reasonable allocation of resources is achieved.

The invention discloses an automatic generation control (AGC) operation method based on a gradient equidirectional distribution strategy. The method comprises the steps of receiving a set value of a control center, measuring actual generation power, judging a distribution mode, executing gradient equidirectional distribution, issuing a distribution instruction, monitoring an operation state and the like. The set value needs verification and format conversion, and the actual generated power is obtained by collecting electrical parameters and calculating. And determining to execute small load distribution or gradient equidirectional distribution according to a comparison result of the difference value between the set value and the actual generated power and a preset threshold value. The gradient same-direction distribution algorithm comprises the steps of determining participating units, calculating distribution units, calculating a proportionality coefficient and distributing a load value. The distribution instruction needs to be coded and is transmitted to the generator set control system through a special communication line. The operation state monitoring comprises the steps of collecting operation parameters and judging a parameter range, and triggering an alarm and adjusting if the range is exceeded. According to the invention, the response speed and stability of the power system can be improved, and the reliability and safety of power supply are ensured.

The present application relates to the technical field of energy storage, and discloses an energy storage power control method, apparatus, and device, and a storage medium, which are used for carrying out energy storage power control taking into account the power requirements of inertial response, primary frequency control, and automatic generation control, so that conflicts among control functions are avoided. The method comprises: in response to an energy storage power control instruction, determining whether an inertial response requirement or a primary frequency control response requirement exists in an energy storage control system; if no inertial response requirement or primary frequency control response requirement exists, determining whether an automatic generation control function is in an enabled state; if the automatic generation control function is in the enabled state, determining a control power value corresponding to the automatic generation control function to be a target energy storage power value; and, according to the target energy storage power value, performing energy storage power control on the energy storage control system.

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 discloses a light storage combined frequency modulation hierarchical control method and system, and the method comprises the steps: obtaining automatic power generation control instruction data of a hybrid energy storage system, and obtaining a hybrid energy storage power adjustment instruction according to the automatic power generation control instruction data; determining a power distribution value of the super capacitor based on the hybrid energy storage power regulation instruction; and grouping the energy storage system to obtain a grouping result, and performing power distribution on the interior of the energy storage system by using a double-layer power distribution method. According to the invention, fine management of power distribution of the hybrid energy storage system is realized, and the charging and discharging frequency and depth of energy storage equipment are effectively reduced, so that the energy storage life is prolonged. Meanwhile, the strategy also optimizes the grouping and management of the battery energy storage units, improves the overall efficiency and reliability of the energy storage system, and provides a more stable and efficient adjustment service for a new energy power generation system.

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 discloses a distributed photovoltaic flexible regulation output optimization method and system, and the method comprises the steps: enabling an automatic power generation control system to receive an adjustment instruction regularly issued by a dispatching master station, calculating the active power demand of a distributed photovoltaic power generation system with an adjustment instruction value as a target, and carrying out the active power distribution through the selection of control equipment, and the final control instruction is automatically issued to the controlled equipment to realize active power control of the distributed photovoltaic power generation system. According to the method, photovoltaic power generation historical data and load power consumption typical day historical data are combined, an adaptive robustness two-stage optimization scheduling model is established, and optimization scheduling of two stages including a pre-scheduling stage and a re-scheduling stage is included; and solving the adaptive robustness two-stage optimization scheduling model through an improved sparrow search algorithm to obtain a photovoltaic output optimization result. According to the method, the robustness optimization capability of distributed photovoltaic power generation output is enhanced, and the overall economic benefit is maximized while the operation of the system does not exceed the limit.

The invention discloses an energy storage cluster cooperative control method and apparatus, a terminal device and a storage medium. The method comprises the steps of obtaining operation information of a power system to be subjected to frequency modulation; wherein the operation information comprises frequency deviation data; according to the operation information, generating a regional control error signal of the power system to be subjected to frequency modulation; calculating frequency modulation total power based on the regional control error signal and the frequency deviation data; performing primary power distribution on each energy storage cluster in the power system to be subjected to frequency modulation according to the frequency modulation total power to obtain single energy storage cluster frequency modulation power of each energy storage cluster; and performing power secondary distribution in each energy storage cluster based on the single energy storage cluster frequency modulation power corresponding to each energy storage cluster to obtain a power adjustment scheme of the power system to be subjected to frequency modulation. According to the invention, the control precision of the to-be-frequency-modulated power system in automatic power generation control is improved.

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 present invention discloses a method and system for real-time coordinated control of regional source, grid, load and storage, the method comprising: in a local control mode, generating a correction scheme over a limited time, taking the minimum adjustment cost as the goal, considering relevant constraints, and decomposing the active adjustment target value of the control unit to the control object that needs to be corrected; in a provincial-local coordination mode, setting an apportionment ratio coefficient for the provincial adjustment and control equipment and the local adjustment equivalent virtual machine, apportioning the total active adjustment target value of the provincial power grid to the virtual generator according to the apportionment ratio coefficient, and decomposing and sending the apportioned active adjustment target value to the control object that needs to be corrected in the local adjustment. The system comprises a relevant safety analysis module, a safety correction auxiliary decision module and an automatic power generation control module, and the system is used to support the implementation of the above method. Through the precise control of the active power of the control object, the thermal stability and safety of the regional power grid is guaranteed, while making full use of various control objects and reducing unnecessary adjustment actions of conventional units.

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 provides a control method of a sea wind flexible direct current power transmission project. After fault signals of the land connected transformers are received, the maximum transmittable power is determined according to the number of the remaining land connected transformers, working condition grades are divided according to overload conditions, and data support and decision basis are provided for follow-up control; the maximum transmittable power smaller than the actual power of the current land station is transmitted to an automatic power generation control system of the offshore station, limited power control is triggered, power input is reduced from the source, and the situation that the power continuously exceeds the bearing capacity of a land connection transformer is avoided; and cutting off the offshore connection transformer of the offshore station according to a cutting mechanism corresponding to the working condition grade, further dynamically adjusting the output of offshore power generation power, and reducing the overall power transmission load of the system. According to the scheme, grading and classification protection of transmission power of the land connection transformer is achieved in an all-around mode, system faults caused by overload are effectively prevented, safe and stable operation of a sea wind flexible direct current transmission project is guaranteed, and system operation reliability and stability are improved.

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.