104results about How to "Allocation is accurate" patented technology

The invention discloses an RISC-V-based thread bundle scheduling method and device and a medium, belongs to the technical field of general graphics processors, and aims to solve the technical problem that the execution efficiency of instructions is affected by the fact that an existing thread bundle scheduling module is affected by a synchronous fence mechanism and a thread bundle scheduling strategy, and the thread bundle scheduling efficiency is easily reduced. The method comprises the following steps: performing instruction configuration on a current thread bundle state to obtain a real-time thread bundle state instruction; performing state control on the thread bundle queue to obtain a state change control strategy; performing instruction fetching sequence control on the thread beam queue, and determining a thread beam instruction fetching control strategy; performing address fetch control on the thread bundle queue, and determining an address type control strategy; and performing thread beam scheduling processing based on a thread beam scheduling system architecture on the thread beam queue through the real-time thread beam state instruction and the thread beam scheduler after the strategy configuration is completed to obtain a thread beam scheduling result.

The invention relates to the technical field of multi-unmanned-aerial-vehicle cooperative operation and three-dimensional modeling, in particular to a multi-unmanned-aerial-vehicle cooperative three-dimensional rapid modeling method for a highway accident scene, and the method comprises the steps: generating a three-dimensional grid map of an accident area through the scanning of a millimeter-wave radar by a main control unmanned aerial vehicle; subareas are divided according to a load balancing strategy and are distributed to slave unmanned aerial vehicles, the slave unmanned aerial vehicles traverse grids along a snake-shaped track, laser radar point clouds and five-view-angle images are synchronously collected, data are bound through double time stamps and space coordinates, the point clouds are preprocessed through edge computing nodes, and the point clouds are stored in a database; the master control unmanned aerial vehicle evaluates quality based on density standard deviation and overlapping matching degree and instructs to reacquire, performs high-precision Poisson reconstruction on an accident core area, performs voxelization processing on a peripheral area, maps image textures, optimizes vehicle deformation details, simplifies a model and retains key element precision, and finally performs data processing. License plate coordinates, a scattered object thermodynamic diagram and an emergency lane occupation state are automatically marked, a visual model is generated, and rapid and accurate restoration of an accident scene is realized.

The invention discloses a hybrid power ship energy management system based on fuzzy control, and relates to the technical field of hybrid power ship energy management, and the hybrid power ship energy management system comprises a state monitoring module, a fuzzy controller module, an energy scheduling module, a power source management module, a monitoring module and a fault diagnosis module. The system has the advantages that intelligent control over hybrid power ship energy management is achieved through the fuzzy controller module in combination with the fuzzy rule base and the membership function, the system can receive data of the state monitoring module in real time, a control decision is generated through fuzzy rule reasoning, and therefore energy of different power sources is accurately distributed, and the energy management efficiency is improved. According to the intelligent energy management and scheduling mode, the energy utilization efficiency of the ship is improved, and the performance of the ship in various sailing states is kept in the optimal state.

The invention discloses a remote video monitoring data transmission method, and the method comprises the steps: collecting visual video information through a robot camera, and transmitting the visual video information to a remote power plant monitoring center through a HDMI interface, an encoder, a 5G-CPE, a decoder and other links. The 5G-CPE uses MEC, 5G slicing and SRT technologies to adjust resource allocation according to network conditions and requirements, and defines configuration slices and priorities. A network monitoring component is deployed to monitor slice loads in real time, a load threshold value is set for each slice, and a resource adjustment strategy is triggered when the loads exceed the threshold values. And resources are dynamically reallocated after analysis and evaluation, so that sufficient and optimized utilization of high-load slice resources is ensured. Performance is continuously monitored and feedback adjustment is performed, network adaptability and flexibility are improved, key video streams are ensured to be transmitted preferentially, and power plant inspection requirements are met.

The invention discloses a plug-in-based real-time acquisition and manual analysis method for webpage data without a fixed format. Real-time integrated operation of data acquisition, labeling and uploading is realized through a browser plug-in. A user selects target data through a floating window interface, and a plug-in automatically extracts content, identifies a platform source, performs quick labeling in combination with a preset analysis label and uploads the data to a background. According to the method, the flexibility of manual judgment and the high efficiency of an automation technology are fused, and the method can adapt to multiple platforms including high-protection dynamic webpages without developing a customized tool for a target website. The floating window supports operations such as dragging and zooming, so that the user experience is improved; the labeling is completed by data acquisition, so that the processing chain is effectively shortened, and the efficiency and accuracy are remarkably improved. The system supports authority management, encrypted transmission and real-time statistical analysis, and ensures data security and efficient utilization.

The invention discloses a fan blade gas heat deicing system which comprises a heater and an air blower which are installed in a blade, an air inlet of the heater is connected with an air outlet of the air blower, an air outlet of the heater is communicated with an air inlet of an air guide pipe, an air outlet of the air guide pipe points to the blade tip direction, and a hard air pipe is adopted at the front end of the air guide pipe. The rear end of the air guide pipe is provided with a soft air pipe, an air inlet of the hard air pipe is communicated with an air outlet of the heater, an air outlet of the hard air pipe is communicated with an air inlet of the soft air pipe, the soft air pipe is arranged in a blade front edge cavity, a plurality of air guide holes are formed in the position, facing the blade front edge, of the soft air pipe, and when no hot air exists, the air guide holes are communicated with the hard air pipe. And when hot air exists, the flexible air pipe is stretched to be close to the blade tip or the blocked position of the blade tip. The air guide pipe can extend to the blade tip, the deicing effect of the blade tip is enhanced, a new hot air backflow channel can be constructed in the blade blocked by the blade tip, and the air heat deicing effect is achieved.

The invention provides a new energy field station AGC distribution method for power distribution, and the method comprises the steps: obtaining the characteristic information of a target photovoltaic power station, and the characteristic information at least comprises the grid-connected point voltage value of the photovoltaic power station, the environment temperature of the photovoltaic power station, and the solar irradiance task profile data; based on the characteristic information, an improved droop control strategy is adopted to calculate the reactive power of the photovoltaic power station; obtaining a reactive power regulation margin based on the reactive power of the photovoltaic power station; generating an active power distribution instruction based on the reactive power regulation margin, the distribution instruction being used for distributing active power; a photovoltaic power supply fatigue loss model is established, a photovoltaic power supply fatigue loss result is obtained, and photovoltaic power supply loss at least comprises IGBT loss and capacitor loss; based on the photovoltaic power supply fatigue loss result, a photovoltaic reactive power optimal distribution model is established, and based on the photovoltaic reactive power optimal distribution model, a distribution strategy is generated, and the distribution strategy is used for distributing reactive power.

The invention discloses a heat storage tank-containing heat supply system scheduling method considering heat storage and release role changes, which comprises the following steps of: additionally arranging a heat storage tank in a primary network urban area between an original urban heat supply system pressure separation station and each heating station, and adjusting a supply-demand imbalance operation condition into a supply-demand balance operation condition through the heat storage tank, the urban heat supply system containing the heat storage tank is formed; setting a heat storage tank role change mechanism; based on the corrected heat supply network hydraulic working condition calculation model and a heat storage tank role change mechanism, combining heat load demand change of each heating station and supply and demand imbalance operation working condition identification information, and analyzing the influence on the heat supply network hydraulic working condition during heat supply network flow distribution and heat storage and release of a heat storage tank; the flow of the heat supply network pressure separation station side, the heat storage tank and each heating station in each time period is distributed; correspondingly communicated water pumps and valves are regulated and controlled; and flow distribution and evaluation of regulation and control effects of the water pump and the valve are performed.

The invention relates to a self-adaptive wavelet packet wind power stabilizing method based on a time scale, and the method comprises the steps: dividing a time domain based on a set time scale, carrying out the self-adaptive wavelet packet decomposition, and carrying out the stabilizing of fluctuation out-of-limit data in adjacent time domains through employing an arithmetic average method; based on the characteristics of the energy storage equipment and the node energy distribution condition, the correlation between the hybrid energy storage power components is analyzed by using the energy entropy difference, the energy type and power type energy storage power components are obtained, and hybrid energy storage capacity optimization is carried out by combining the maximum charging and discharging power and the energy change; the method comprises the following steps: dynamically partitioning an energy storage SOC, improving a fuzzy control membership function, and optimizing a hybrid energy storage power instruction by adopting two-stage fuzzy control so as to reduce SOC out-of-limit of the energy storage system. According to the method, power fluctuation can be effectively stabilized, the hybrid energy storage component can be more accurately distributed, meanwhile, SOC out-of-limit can be effectively reduced, and the electric energy quality is improved.

The invention relates to the technical field of communication, and discloses a network slice resource optimization method, device, system and product. The method comprises the following steps: collecting flow data of each edge node in a target network in a current time step according to the size of the time step; the traffic data comprises short-time traffic data and long-time traffic data of all network slices in the edge node; predicting predicted flow data of each edge node in the next time step based on the flow data of each current edge node; determining a target distribution strategy based on the predicted traffic data of each edge node in the next time step; determining target resource configuration in each edge node in the next time step according to a target allocation strategy and the predicted traffic data of each edge node in the next time step; and allocating network resources to each edge node according to the target resource configuration. By adopting the method, the accurate and efficient dynamic network resource allocation of the whole target network can be realized, and the overall performance of the network is improved.

The invention provides a distributed computing system based on pre-scheduling resource collaborative adaptation, and relates to the technical field of resource collaborative allocation systems. The distributed computing system based on pre-scheduling resource collaborative adaptation aims at solving the problems that in the prior art, resource scheduling is not flexible, and application configuration and resource scheduling are lack of coordination. By introducing a dynamic scheduling mechanism of the resources, organic combination of resource pre-scheduling and flexible allocation is realized. Meanwhile, through cooperation of application configuration and resource scheduling, optimal distribution and execution of calculation tasks are achieved, the system is composed of a server side and a client side, the client side has pre-scheduling resources and is used for feeding back the resource state in real time and receiving and executing the calculation tasks, and the server side is responsible for monitoring and scheduling of global resources and task distribution. And through a designed heuristic collaborative adaptation algorithm, the server can dynamically schedule resources in the pre-scheduling resources, and high efficiency and stability of task execution are ensured.

The invention relates to the field of data processing and financial science and technology, and discloses a user authority control method and device, equipment and a medium, and the method comprises the steps: receiving a login request of a user side, and verifying the login request according to a preset condition; if the login request passes the verification, performing permission configuration on a login account of the user according to a preset rule to obtain a user basic permission; creating an administrator role according to a preset permission set, and performing permission adjustment on the login account of the user through a preset management interface to obtain a user adjustment permission; performing data fusion on the user adjustment permission and the user basic permission by using a preset framework to obtain a user authorization permission; controlling the user authorization authority based on the administrator role; according to the invention, the intensity of user identity verification is increased, the supervision quality can be comprehensively improved, the authority supervision effect is further improved, the business demand can be responded more quickly, and the operation efficiency and the user experience are improved.

The fish feed feeding machine for fishery breeding relates to the technical field of feeding machines and comprises a positioning frame, a feed barrel is fixedly connected to the outer wall of the top end of the positioning frame, a driving seat is fixedly connected to the center in the positioning frame, and a feed scattering box is rotationally connected with the outer wall of the top end of the driving seat. The bottom end of the outer wall of the driving base is in penetrating connection with the center of the top face of the positioning frame, the center in the positioning frame is fixedly connected with the bottom end of the outer wall of the driving base, the center of the bottom face of the scattering box is in penetrating connection with the center of the top face of the driving base, and the top end in the driving base is rotationally connected with the center of the bottom face of the scattering box. Fish feed is thrown out along the edge of the feed scattering box through the centrifugal plates and the central conical barrel in the feed scattering box according to the centrifugal force principle, so that the fish feed can cover a wider area, more uniform feeding is achieved, and therefore the breeding efficiency is improved; and the balance of fish growth is ensured.

The invention relates to the field of plate type heat exchange, in particular to an insert type forced flow optimal distribution plate type heat exchanger which comprises two sets of side plates and six sets of corrugated plates, and the two sets of side plates and the six sets of corrugated plates are each provided with four sets of through grooves in a penetrating mode. A first connecting pipe, a second connecting pipe, a third connecting pipe and a fourth connecting pipe are detachably installed on the outward sides of the four sets of through grooves in one set of side plates correspondingly, and the second connecting pipe is located over the first connecting pipe. According to the air conditioner, impulsive force generated when refrigerating fluid and cold carrying fluid are introduced can be used for being matched with rotation of multiple sets of different fan blades in the refrigerating area and the cold carrying area, and the upper portion and the lower portion between the refrigerating area and the cold carrying area are promoted to achieve balanced heat exchange through the arrangement of an upper flow guide frame and a lower flow guide frame; and the retention time of the liquid fluorine in the refrigeration area can be prolonged, and meanwhile, the discharge of the gaseous fluorine is accelerated, so that the heat exchange effect and the heat exchange efficiency of the whole device are effectively improved.

The invention discloses an automatic adjusting system for high-speed rail dispatching, which is characterized in that the occupation conditions of station tracks and trains are visually displayed through a visual interface, a dispatcher can quickly grasp the global situation, the decision-making efficiency is improved, meanwhile, the wrong dispatching risk caused by information disorder is reduced, an automatic arrangement function quickly solves conflicts according to a preset rule, and the dispatching efficiency is improved. Scheduling flexibility and response speed are improved, manual intervention and cost are reduced, operation efficiency is improved, statistics of station track change conditions provides data support for follow-up analysis and optimization, a dispatcher is helped to optimize resource allocation, decision accuracy is improved, in addition, a specific train number station track is fixed, specific operation requirements are met, and the service life of the dispatcher is prolonged. The locking function reduces the conflict risk related to a specific train number, and through comprehensive application of visual, automatic and intelligent means, the scheduling efficiency, safety and flexibility of the high-speed railway arrival and departure line application system are remarkably improved, the operation cost is reduced, and a powerful guarantee is provided for smoothness and high efficiency of railway transportation.

The invention relates to the technical field of information management, in particular to a material digital management system and method based on a cloud platform. The method comprises the following steps: acquiring material data; distributing a material storage space by using the material data; receiving an operation message of the storage space, and pushing the operation message to an inventory database; creating a circulation record table and an inventory state table; using the operation message in the inventory database to update a circulation record table, and recording circulation data; automatically updating an inventory state table according to the circulation data so as to determine the material inventory capacity; when the material inventory capacity is lower than or equal to a preset safety inventory threshold value, management early warning information is generated; and when the material inventory capacity is higher than a preset safety inventory threshold value, updating the management safety field of the inventory state table. The material inventory is monitored in real time based on the information management technology, the replenishment information is intelligently generated, inventory dynamic management is achieved, and the material management efficiency is improved.

The utility model provides an integrated culture pond water flow circulation oxygenation device, which relates to the field of aquaculture, and comprises a main pipe, one end of the main pipe is provided with a pump body, the water outlet end of the pump body is connected with the main pipe, the other end of the main pipe is fixedly connected with an oxygenation cylinder, and one side of the pump body is provided with a processing shell. And a water inlet pipe is arranged on the shell wall of the top end of the treatment shell. According to the utility model, through the matching design of the built-in shunting disc and the plurality of fixed shunting pipes, water flow can be accurately distributed, so that small water flow is formed for subsequent efficient oxygenation treatment, dissolved oxygen is ensured to be uniformly distributed in circulating water flow, and a more stable and high-quality dissolved oxygen environment is provided for cultured organisms; a filtering drawing box is arranged in the treatment shell, the drawable design is adopted, a sealing plate is controlled to be opened and closed through a motor and a thread adjusting structure, a steel filter screen in the treatment shell can be conveniently and regularly cleaned, and the water quality can be kept clean by regularly cleaning the filtering drawing box.

The application relates to the technical field of network task allocation, and discloses a heterogeneous computing power network task allocation and path optimization system based on a neural network, which comprises a graph construction module, a node task allocation module and a path optimization module.The graph construction module is used for constructing a traffic dispersion graph, modeling network topology and node data through the traffic dispersion graph, and modeling nodes and edges in combination with graph indexing and graph displacement, and extracting network communication traffic and node features.The node task allocation module is used for inputting graph indexes of all nodes into an improved graph neural network model to intelligently predict and allocate node tasks, and outputting node task allocation prediction results.The path optimization module is used for obtaining path optimization results by minimizing transmission delay and balancing node computing power in combination with node task prediction results.The system optimization module is used for optimizing the overall performance of the system based on the path optimization results and the task allocation prediction results.The application improves the task allocation and path optimization efficiency of the heterogeneous computing power network.

The invention relates to the technical field of galvanization, in particular to a plating bath device and method for hot-dip galvanized steel sheet production, which comprises a plating bath pot for galvanization treatment of a steel sheet material and a support, and further comprises a rust removal cleaning barrel, a rust removal cleaning barrel and a rust removal cleaning barrel, the derusting cleaning cylinder is arranged at the top of the support, located on the two sides of the steel plate material and used for derusting the steel plate material, a plurality of nozzles and brushes are arranged at the bottom of the derusting cleaning cylinder, and a driving assembly for driving the derusting cleaning cylinder to swing to achieve dynamic cleaning is constructed in the support; and the degreasing spraying shell is connected to one side of the rust removal cleaning barrel and used for spraying an organic solution to conduct degreasing treatment on the surface of the steel plate material, a liquid storage chamber storing a large amount of the organic solution is arranged below the degreasing spraying shell, and the liquid storage chamber is connected with the degreasing spraying shell through a pipeline to ensure continuous supply of the organic solution.

The invention discloses a construction method of a power grid carbon emission distribution network model. The construction method comprises the steps of obtaining node load data, generating capacity data and branch data of a power grid; forming an original data set and a load flow calculation result according to the data, and establishing a network topology model according to the original data set and the load flow calculation result; equivalently transplanting the loss power of each branch in the network topology model to a corresponding upstream node, keeping the size and direction of the power flow of each branch unchanged, and updating the network topology model; and based on the updated network topology model, constructing a carbon emission distribution network model in combination with a proportion sharing principle. According to the method, through real-time data acquisition, network topology modeling, carbon emission flow calculation and optimization solution, the carbon emission in the power system can be accurately quantified, and a scientific basis is provided for low-carbon scheduling and policy making of the power industry.

The invention discloses a project life cycle budget control method and device, and relates to the technical field of project management, and the method comprises the steps: determining a target project instance set corresponding to a target demand based on a preset topological association network, obtaining a target topological association sub-network, carrying out the differentiation verification of the target project instance set based on execution state data, and obtaining a target project instance set; and if the budget is excessive, generating a budget aggregation check result based on the target project instance set, determining a project budget consumption prediction result by adopting a budget consumption prediction model based on the budget aggregation check result and the execution state data, and determining a budget consumption prediction result based on the project budget consumption prediction result and the budget aggregation check result. And adjusting the project data of each target project instance in the target topological association sub-network to obtain a target budget for executing each target project instance. According to the method and the device, the technical problem of relatively low accuracy of managing and controlling the budget in the project life cycle in related technologies is solved.

The invention discloses a multi-target game-oriented resource iterative allocation method. The method comprises the steps of obtaining a to-be-gamed task information set and to-be-allocated resource information; the to-be-allocated resource information comprises the number of to-be-allocated resources, the position information of the to-be-allocated resources, the bandwidth of the to-be-allocated resources and the coverage area; performing priority evaluation processing on the to-be-gamed task information to obtain a weighting coefficient vector; constructing an initial resource allocation model by using the to-be-gamed task information, the to-be-allocated resource information and the weighting coefficient vector; solving the initial resource allocation model to obtain an initial resource allocation matrix; obtaining a resource historical allocation data set; constructing a task channel transfer model by using the resource historical allocation data set; and processing the initial resource allocation information by using the task channel transfer model to obtain resource allocation scheme information.

This invention provides a method and system for optimizing local training in federated learning based on client reputation evaluation. Based on the historical local training logs of all clients participating in federated learning, the method determines the training time characteristics and model performance characteristics of each client during the historical local training process, thereby obtaining the client's local training reputation evaluation information. This allows for adjustments to the local training mechanism for all clients participating in the next federated learning cycle, prioritizing the allocation of training data to clients with higher reputations to ensure accurate data allocation for all clients in the next cycle. Furthermore, based on the local training load capacity information of each client in the next federated learning cycle, the method adjusts the training data allocation for all clients and adjusts the local training execution status based on the local training resource consumption information of each client, contributing to improved overall efficiency and reliability of federated learning.

The utility model relates to the technical field of biochemical detection, and discloses a multi-station mechanism for rapid detection of biological reagents, which comprises a base, a motor I is fixedly connected in the base, a rotating shaft I is fixedly connected to the output end of the motor I, a turntable is fixedly connected to the outer wall of the rotating shaft I, a placement hole I is formed in the turntable, and a placement hole II is formed in the placement hole I; a clamping assembly is arranged on the upper surface of the rotating disc. The clamping assembly comprises a first threaded rod, the lower end of the first threaded rod is rotationally connected to the upper surface of the rotary disc, the driving assembly comprises a telescopic rod, the lower surface of an electric telescopic rod is fixedly connected to the upper surface of the base, and the output end of the electric telescopic rod is fixedly connected with a supporting rod. According to the utility model, test tubes with different specifications can be clamped and fixed through the matching of the test tube clamp and the positioning frame, a plurality of placing holes can be used for detecting at the same time, and mixed reagents can be better and uniformly mixed by the turntable to achieve better detection.

The application discloses a kind of omnidirectional mobile carrying platform adaptive path tracking control method and system based on multi-mode switching, including establishing three-mode target steering kinematics model;Fuzzy reasoning rule base based on lateral motion intensity factor is constructed;According to the current platform longitudinal velocity, current path curvature and fuzzy reasoning rule base, determine the optimal rotation mode;Establish pre-aim error model and error dynamics equation, design integral sliding mode lateral controller, obtain the desired yaw angular velocity;According to the optimal rotation mode and the desired yaw angular velocity, obtain four-wheel target speed;Based on quintic polynomial, longitudinal velocity planning is carried out, and according to four-wheel target speed, path tracking control is carried out on omnidirectional mobile carrying platform.The application can effectively reduce lateral tracking error and heading angle error, significantly improve the tracking accuracy of omnidirectional mobile platform under variable curvature curve, cargo transportation stability and narrow space passability, and can be widely applied to carrying platform motion control technical field.

The invention belongs to the field of computer hardware resource management, and discloses a computer hardware resource intelligent management method; the method comprises: collecting task data of users and comprehensive monitoring data of computers at the same time point, and constructing a structural association diagram; establishing a resource pool, allocating each user's task to the resource pool according to the structural association diagram, and dynamically updating the tasks in the resource pool; using a hybrid scheduling algorithm to adaptively update the task priority and time slice length of each user in the resource pool, and dynamically queuing the user's tasks; executing each user's task according to the dynamic queue, and realizing efficient and high-quality intelligent management of computer hardware resources through comprehensive processing and hybrid algorithms.

The invention is suitable for the technical field of GPU (Graphics Processing Unit), and provides an SPIR-V-based inter-thread shared memory processing method, which comprises the following steps of: S1, reading a high-level language code source code to a character buffer area, and then converting the source code in the character buffer area into an intermediate code in an SPIR-V form; s2, traversing an instruction sequence of an intermediate code, and for variable declarations in the instruction sequence, accumulating the sum of occupied spaces of all shared memory variables; s3, calculating a one-dimensional index and a shared memory address of the thread group; and S4, traversing the instruction sequence of the intermediate code, and for instructions in the function declaration and the function definition, if processing of a shared memory is involved, calculating a real address and generating different GPU instructions according to instruction types. The invention provides a universal method for translating related codes, used for processing a shared memory of a working group, in SPIR-V codes into basic instructions of all GPU architectures, and the instructions used in the method are basic instructions of all GPU instruction sets, so that the method has hardware platform universality.

In one aspect, the present disclosure relates to an automated method for detecting and / or monitoring the state of an analyzer degasser, the degasser comprising a container configured to be evacuated. The method comprises obtaining a time series of values ​​indicative of a pressure inside the container. The time series covers a period of time when the container is evacuated or pressurized. The method further comprises determining a liquid level state of the degasser based on the time series, the liquid level state depending on the amount of liquid present in the container.

This invention proposes an adaptive virtual impedance droop control method, system, device, and medium, relating to the field of droop control. The method includes: calculating the standardized reactive power of each local node and neighboring node based on the equivalent output impedance and reactive power droop coefficient; generating a correction amount for the virtual impedance based on the accelerated consensus algorithm and the standardized reactive power of each local node and neighboring node; adjusting the virtual impedance in the distributed grid topology according to the correction amount of the virtual impedance to obtain the adjusted dynamic virtual impedance; calculating the virtual impedance voltage drop based on the adjusted dynamic virtual impedance; calculating the feedforward compensation voltage reference value; calculating the common compensation amount of the preset virtual leader node and the local compensation amount of each local node and neighboring node to obtain the total voltage compensation command; adjusting the feedforward compensation voltage reference value according to the total voltage compensation command to obtain a voltage stabilization scheme, using the dynamic virtual impedance as the power distribution scheme.

The application discloses a method and system for constructing a load sharing chain of a generator group unit, and relates to the field of data processing specially used for administrative, commercial, financial, management, supervision or prediction purposes. The method comprises the following steps: calculating a comprehensive response capability value of each power plant according to operation parameters and transaction parameters, arranging the comprehensive response capability values in descending order according to the numerical values to form a response sequence, calculating the regulation capability matching degree between adjacent power plants, the difference between the regulation capability matching degrees of each adjacent response section being less than a preset matching degree threshold, calculating the output regulation range and regulation rate of each generator unit, and determining the load distribution coefficient of each response section according to the output regulation range and regulation rate; determining the regulation sequence of the units in all response sections based on the load distribution coefficient, and calculating the maximum regulation amount that can be borne by each unit, and constructing the load sharing chain according to the regulation sequence and the maximum regulation amount. By implementing the method, the efficiency of task regulation of the units of the power plant can be improved.