73 results about "Grid system" patented technology

The application provides a CMP process optimization method, system, medium and product based on multi-physical field coupling. The target chip layout is divided by a three-level grid system, and the multi-scale characteristic quantization data of the micro grid unit is extracted. Combined with the physical simulation operation of the CMP multi-physical field full coupling mathematical model, the complex evolution law of the three-dimensional topography of the wafer surface under the advanced process can be fully described, the accuracy and consistency of the simulation result are improved, and the problem of large prediction deviation of the traditional model assumption simplification is overcome. At the same time, the multi-physical effects such as contact mechanics, chemical reaction and thermodynamics are included in the unified modeling framework, the multi-physical field coupling simulation is realized, and the scientific and systematic theoretical support is provided for process optimization. The simulation result data is compensated and corrected by using the machine learning intelligent compensation network, and the final prediction result and the corresponding confidence interval are output, the prediction accuracy is improved, and the prediction reliability is quantified, which provides risk basis for process decision.

This invention discloses a mobile prefabricated photovoltaic-storage-diesel off-grid system based on project site scale, belonging to the field of off-grid power supply technology. The system includes a photovoltaic subsystem, an energy storage subsystem, a diesel engine subsystem, a mobile prefabricated structure, and an energy management system (EMS). Through a scale coefficient quantification model, customized matching of photovoltaic, energy storage, and diesel engine parameters with the number of personnel on site is achieved. The EMS employs dynamic power allocation across multiple subsystems, scale-differentiated start-up and shutdown, energy storage-diesel engine collaborative power replenishment, and mobile anti-interference strategies. Combined with the mobile prefabricated structure, it improves the stability and economy of off-grid power supply, solving problems such as poor adaptability, weak mobility, and limited diesel engine functionality in existing systems. It is suitable for temporary scenarios such as project sites.

This invention discloses a frequency domain hydrodynamic analysis method and system. The method includes establishing a detailed geometric model of a floating photovoltaic (PV) system; dividing the waterline according to the arrangement of the PV system; meshing the model to generate a grid system suitable for hydrodynamic analysis; setting analysis parameters based on model data, defining the physical properties of the PV modules, and configuring frequency domain analysis parameters to obtain the PV parameter setting results; using the grid system to perform frequency domain calculations on the PV parameter setting results under different arrangement conditions to obtain key hydrodynamic performance parameters, and analyzing the calculation results to obtain the hydrodynamic performance of the PV system under different wave angles; comparing and analyzing the hydrodynamic performance of the PV system under different wave angles, identifying the optimal and worst performance arrangement schemes, and optimizing the PV arrangement based on the analysis results. This invention effectively analyzes the frequency domain hydrodynamic performance characteristics of floating PV systems under different wave angles.

This invention discloses an energy management and control method and system for off-grid photovoltaic systems based on hydrogen energy storage. Addressing the problems of spatiotemporal imbalance between energy supply and demand, insufficient coordinated control of the electric-hydrogen hybrid energy storage, low system energy self-sufficiency, and poor operational stability in off-grid photovoltaic systems, it constructs a closed-loop energy flow model of photovoltaic-electrolyzer-hydrogen storage tank-fuel cell-load and designs a three-layer hierarchical distributed control system. The upper layer performs predictive economic scheduling, the middle layer completes real-time power allocation with rolling optimization, and the lower layer achieves device-level adaptive precision control. An intelligent control platform is built by integrating edge computing and a cloud platform, and a graded fault-tolerant mechanism for abnormal operating conditions is set up. This invention achieves intelligent management and control of the entire generation, storage, and utilization chain, significantly improving the system's energy self-sufficiency, operational economy, and safety. It supports modular expansion and is adaptable to various off-grid energy supply application scenarios.

The application discloses a collaborative scheduling method based on an arctic sea parrot optimization algorithm and peak-valley time-of-use electricity price, belongs to the technical field of micro-grid intelligent scheduling and renewable energy management, and comprises the following steps: step S1, a micro-grid system model is established; step S2, operation constraint conditions are constructed, including the power balance and the upper and lower limit constraints of the power of each component of the micro-grid and the state constraints of the storage battery which need to be satisfied by the wind turbine, the photovoltaic, the gas turbine, the fuel cell, the storage battery and the power exchange with the power grid in the micro-grid; step S3, an objective optimization function of operation cost and pollutant emission is constructed; and step S4, the optimal scheduling scheme is output by applying the objective optimization function. The collaborative scheduling method based on the arctic sea parrot optimization algorithm and the peak-valley time-of-use electricity price can significantly improve the optimization precision and convergence efficiency of the system, meanwhile, the high reliability and robustness of the scheduling process are ensured, and finally, the intelligent collaborative scheduling of the micro-grid energy is realized.

A kind of vehicle multi-voltage level DC grid short-circuit current calculation method, main steps include: determining voltage system and load type, determine the energy storage component on each voltage system, construct multi-voltage system grid topology;Determine the short-circuit point position, according to the short-circuit point position, determine the current flow direction of each short-circuit current branch current;Respectively calculate the short-circuit current provided by the flow component in each branch, including generator, battery, super capacitor, permanent magnet synchronous motor;Calculate the short-circuit current of DCDC under different working modes;Total short-circuit current value is calculated using superposition principle.The method can accurately realize vehicle multi-voltage level grid short-circuit current calculation, and is beneficial to the protection of vehicle DC grid system.

This application relates to a method and apparatus for three-dimensional reconstruction of PM2.5 in cross-border areas, belonging to the field of atmospheric environmental monitoring technology. The method includes: acquiring multi-source data of a cross-border area, including domestic PM2.5 vertical profile data, overseas PM2.5 mass concentration data, cross-border meteorological profile data, and overseas simulated PM2.5 profile data; performing time alignment, spatial alignment, and normalization processing on the multi-source data; calculating overseas PM2.5 vertical profile data based on overseas simulated PM2.5 profile data and overseas PM2.5 mass concentration data; mapping the domestic and overseas PM2.5 vertical profile data to the same spatial grid system to obtain cross-border PM2.5 vertical profile data; training a Transformer model using cross-border meteorological profile data as input samples and cross-border PM2.5 vertical profile data as supervised samples to obtain a cross-border PM2.5 three-dimensional reconstruction model; inputting the meteorological profile data of the cross-border area to be studied into the cross-border PM2.5 three-dimensional reconstruction model, and outputting PM2.5 three-dimensional concentration field data of the cross-border area to be studied.

The application relates to a micro-grid energy storage optimal scheduling method based on absolute value linearization, and belongs to the technical field of energy management and automatic control, and comprises the following steps: constructing a micro-grid system mixed integer nonlinear programming model containing renewable energy, load, energy storage and grid interaction; analyzing how a multi-objective cooperative optimization problem such as battery life protection and power smoothing is converted into a weighted total cost minimization problem with a penalty term; adopting an absolute value linearization modeling method to convert the nonlinear programming problem into a mixed integer linear programming problem; and adopting a branch and bound algorithm to solve the converted linear programming model, so that a globally optimal energy storage charging and discharging and grid interaction scheduling plan is obtained.

System for handling uncertainty associated with a sensor measurement using a previously determined combined occupancy grid. The system includes a plurality of sensors and an electronic processor. The electronic processor is configured to determine a combined occupancy grid associated with a first time, receive a measurement associated with a second time, determine an uncertainty grid including an uncertainty distribution associated with the measurement, and convolute the combined occupancy grid associated with the first time with the uncertainty grid to determine one or more convolution values. Each convolution value is associated with a cell in the uncertainty grid. The electronic processor is configured to assign a first probability to a cell associated with a greatest convolution value, assign a second probability to a cell associated with a mean of the uncertainty distribution, and, using the first probability and the second probability, determine a combined occupancy grid associated with the second time.

This invention discloses a coupled simulation and prediction system for regional water and carbon cycle processes, relating to the field of watershed carbon cycle simulation. The system includes a data acquisition module that determines the watershed extent and identifies riverbank areas within a unified grid system. Simultaneously, vegetation type and soil organic carbon are mapped to riverbank grid cells, consistently expressing the spatial location of carbon sources in relation to hydrological watershed migration. This facilitates subsequent clarification of carbon source distribution. Based on a DEM (Digital Elevation Model), flow direction and confluence paths are constructed. Runoff in each grid is calculated under meteorological conditions and gradually converges into the river channel, establishing hydrodynamic transport paths with clear upstream and downstream relationships. This provides a physical carrier for carbon transport. Based on soil organic carbon and vegetation type in the riverbank grids, the system quantifies the differences in carbon supply capacity of different riverbank areas during regional water migration. Riverbank carbon sources are traced along the confluence paths. Spatial weights are constructed using distance attenuation and connectivity, mapping carbon sources to each grid cell. Carbon flux is then coupled with runoff to calculate and accumulate through gradual transport.

The application discloses a micro-grid economic dispatching method and device, relates to the technical field of micro-grid operation control, and solves the technical problem that the stability of the whole micro-grid operation is reduced due to the fact that the existing micro-grid economic dispatching method usually adopts fixed time intervals to make scheduling plans; the method comprises the following steps: generating a corresponding predicted power curve according to predicted environment data; generating a scheduling time period based on the predicted power curve; constructing a target function in an economic dispatching model corresponding to the micro-grid based on the scheduling time period; constructing a plurality of constraint conditions in the economic dispatching model corresponding to the micro-grid based on operation constraint data; the constraint conditions comprise power constraint conditions and basic constraint conditions; solving the target function in the economic dispatching model to obtain an optimal scheduling scheme; and scheduling power resources in the micro-grid based on the scheduling scheme; so that the economic dispatching is more targeted, and the stability of the whole micro-grid system is improved.

The application discloses a kind of based on BIM's photovoltaic construction integrated management method and system, belong to intelligent management field, the method includes: obtaining initial building information model data of photovoltaic construction site and the measured point cloud data collected in situ;Initial building information model data is carried out spatial discretization processing, constructs three-dimensional voxel grid system;Measured point cloud data is mapped to three-dimensional voxel grid system, and the abnormal voxel unit that design position and actual position exist spatial position deviation is identified by Boolean difference operation, generates deviation vector set;Start constraint conduction correction process, generate the local voxel layout after correction;The electrical connection path between photovoltaic module is recalculated using deterministic path search logic, and the construction instruction containing updated construction coordinates and bill of materials is output. The present application can be smoothly run on the mobile terminal of construction site, realizes the real-time management in situ.

The application belongs to the field of security control of micro-grid systems, and discloses a voltage elastic tracking control method, computer equipment and a storage medium. The method can solve the secondary side voltage elastic tracking control problem of the micro-grid system under denial of service attack, and can make the system run stably through attack compensation mechanism when the micro-grid system is attacked maliciously in the running process, so as to avoid serious consequences. The method solves the unobservable state through the design of a state observer, and realizes accurate acquisition of the voltage state. Compared with the complex micro-grid system without the design of the observer, the introduction of the observer has more application value in actual engineering application. The method is an elastic tracking controller designed under a completely distributed control framework, and improves the scalability and flexibility of the system. In addition, the introduction of the event triggering mechanism not only saves the communication network resources of the micro-grid system, but also reduces the risk of system attack to a certain extent.

The application provides a DC micro-grid control method based on a virtual and real DC motor, which comprises the following steps: setting a virtual DC motor connected with a DC bus and a real DC motor connected with the DC bus; maintaining the stability of the low-frequency component of the DC bus voltage by using the real DC motor; and maintaining the stability of the high-frequency component of the DC bus voltage by using the virtual DC motor. The DC micro-grid control method can stabilize the DC bus voltage, improve the anti-disturbance capability of the DC micro-grid, and ensure the safe and stable operation of the DC micro-grid system.

The application discloses a kind of network type energy storage off-grid system production simulation method, device, equipment and medium.The method comprises the following steps: receiving the basic setting parameter of input network type energy storage off-grid system, obtains original curve data, and the accuracy can reach sub-second level;The original curve data is corrected based on artificial intelligence model and processed, to generate target curve data;According to the basic setting parameter and the target curve data, based on preset operation scene, sub-second energy storage and economic index operation is carried out, and initial operation result corresponding to the preset operation scene is obtained;The initial operation result is verified, and in the case where the verification result is passed, the initial operation result is used as the target simulation analysis result corresponding to the preset operation scene.The accuracy of energy storage configuration and the accuracy of system simulation are improved.

The application discloses a cross-scale numerical simulation method based on micro-macro mixing. The method comprises the following steps: S1, realizing downscaling generation from a macroscopic reservoir scale grid to a micro-pore scale grid; S2, establishing a dual grid system consistent with the size of the macroscopic reservoir scale grid; S3, considering the boundary condition, decomposing pressure and flow rate into a plurality of base functions to construct a local micro-flow equation; S4, establishing a quantitative conversion relationship between micro-pore flow characteristics and macro-flow parameters; and S5, realizing cross-scale conversion of the macroscopic scale and the micro-pore scale. The method has the beneficial effects that the simulation precision is improved while the calculation efficiency is ensured, local heterogeneity is accurately captured, and remaining oil is accurately identified.

The application discloses a green electricity consumption type honeycomb micro-grid system based on distance adaptive aggregation, relates to the technical field of distributed energy and smart grid, and comprises a configuration module, a power transmission module, an aggregation module and a control module. The distributed power supply is configured to a centralized load side unit and a decentralized load side unit, and a honeycomb unit is constructed. The honeycomb unit comprises one centralized load side unit and n decentralized load side units. The power transmission module is used for connecting the centralized load side unit and the decentralized load side unit through a booster station and a power transmission line suitable for different voltage grades, so as to form a honeycomb micro-grid architecture. The aggregation module links the honeycomb units through a virtual power plant or a physical link, so as to form a honeycomb micro-grid architecture. The control module collects power data, regulates and controls the power flow direction and connects with a public grid.

A lattice Boltzmann method (LBM)-based fluid analysis simulation device according to an embodiment of the present invention comprises: an input unit for receiving data pertaining to an analysis target for fluid analysis simulation; a grid generation unit for generating a plurality of calculation grid systems for calculating flow data on the basis of the received data; and a flow data calculation unit for calculating the flow data pertaining to the analysis target on the basis of a flow equation in the plurality of calculation grid systems. The plurality of calculation grid systems include: a fixed grid system generated to be stationary in a space of the analysis target; and a rotating grid system having an overlapping area overlapping the fixed grid system and generated to rotate in the space of the analysis target.

This invention relates to the field of power electronic converter control technology, specifically to a fault ride-through control method for a hybrid grid system, comprising: S1: calculating the corresponding reference frequency and reference voltage amplitude based on point of common coupling data; S2: calculating the corresponding active power reference value and reactive power reference value for each GFL converter using reverse droop control; S3: calculating the additional reactive power required for each GFL converter and updating the reactive power reference value for each GFL converter; S4: calculating the corresponding reference frequency and reference voltage for each GFM converter using direct droop control; S5: designing a current loop to generate a modulation control signal to drive the operation of the corresponding GFL converter; S6: designing voltage and current loops to generate modulation control signals to drive the operation of the corresponding GFM converter. This invention can meet the needs of power systems with a high proportion of renewable energy sources in scenarios such as fault ride-through optimization, stable operation control, relay protection configuration, and power grid planning and design.

The application discloses a kind of micro-grid system's network type inverter adaptive control method and system, belong to micro-grid operation control technical field, method includes: obtaining the transient security analytical constraint condition when micro-grid system endures big disturbance;Build the upper agent optimization model with the objective function of minimizing the virtual inertia and virtual damping of network type inverter, and after solving current optimal control parameter is input to lower full-order system verification model and is carried out dynamic simulation evaluation, whether micro-grid system meets preset safety condition is judged: if meet, then output final optimal control parameter, otherwise, then according to simulation data updates transient security analytical constraint condition, and is solved again to upper agent optimization model, until preset safety condition is met.The application can effectively isolate the prediction error caused by simplified model, realize the online adaptive correction and optimal configuration of control parameter, improve the response stability and rapidity of micro-grid system.

The present invention provides a coding method for dividing the Earth's surface using a multi-level iterative grid system. This method includes: first-level segmentation of the Earth's surface according to a set reference unit span, obtaining latitude and longitude reference number intervals; constructing a first-level regional code based on the latitude and longitude reference number intervals, and then obtaining regional codes through further subdivision and iteration of these intervals; based on the first-level regional code and a set direction identifier, obtaining a single-direction boundary identifier code through further subdivision and iteration of the latitude or longitude reference number intervals, and defining a unique boundary identifier code to represent a geographical boundary. The beneficial effects are: based on the original regional positioning function, the expression method is closer to machine language, forming a unified, scalable, and easily computed coding system.

This disclosure discloses various technologies for sending electrical power from various energy storage stations to various nano-grid systems, when the energy storage stations and the nano-grid systems are not electrically wired to each other in order to enable such sending and when the nano-grid systems currently need a specific amount of the electrical power or are forecasted to need the specific amount of the electrical power by a specific time / date.

The application discloses a liquid crystal screen defect detection method and system, and relates to the technical field of defect detection. The method collects optical field data, physical data and imaging data of a liquid crystal screen, constructs a double-grid system, generates a spatial variation viscosity coefficient field by using a texture entropy field, identifies a physical pixel grid structure of a fine grid, constructs and solves a discrete variation boundary correction equation, generates a gradient compensation field, constructs and solves a discrete variation boundary correction equation based on a physical sub-pixel topological structure, generates a gradient compensation field to eliminate inherent gradient interference caused by a physical grid, constructs a target energy functional containing a viscosity control item and a gradient compensation boundary, calculates a shape gradient tensor and a sensitivity field, and performs joint detection of coarse grid global positioning mapping to fine grid local screening. The application effectively solves the signal interference problem in a high-frequency physical texture background, and significantly improves the detection precision, edge segmentation quality and robustness of micron-level defects in a complex background.

The application provides a grid layout conversion method and system, and a readable storage medium. The grid layout conversion method comprises the following steps: in response to detecting that the number of rows and columns of a grid system changes, performing proportional calculation according to the number of rows and columns of an original grid system and the number of rows and columns of a new grid system to obtain column proportion and row proportion; grouping a plurality of layout items in the original grid system by rows and sorting the layout items by columns in each row; for each sorted layout item, performing proportional conversion according to the column proportion and the row proportion to obtain an initial layout; and when a layout item of the initial layout exceeds the boundary of the new grid system, adjusting the layout item; when the layout items of the initial layout overlap, adjusting the layout items, and the adjustment method comprises one or a combination of the following: two-layer nested loops, an intelligent scaling strategy or an overflow processing mechanism. Through the technical solution of the application, the relative position relationship of the layout items can be maintained during grid conversion, and the problem of layout item overlap can be intelligently processed.

This invention provides an adaptive sampling flight control method and system for pollutants from unmanned aerial vehicles (UAVs), relating to the field of UAV technology. The method includes the following steps: constructing a three-level heterogeneous grid system and establishing the correlation between grids through cross-level data topology mapping; collecting pollutant concentration data and dynamically activating and / or dormant grids of different precision; calculating a three-dimensional concentration gradient vector using a multi-mode gradient reconstruction mechanism, and combining gradient direction identification and dynamic altitude adjustment strategies to trace the core area of ​​pollutants or track the diffusion boundary of pollutants; selecting different interpolation algorithms according to the system load state and generating a pollution concentration field isosurface model based on the moving cube algorithm; constructing a weighted cost map, integrating real-time concentration change information and historical sampling data to generate a spatially weighted cost value, and dividing different priority areas; implementing hierarchical trajectory planning according to the cost value distribution, and configuring differentiated sampling density and flight speed in different priority areas.

The present application relates to the technical field of three-dimensional geological modeling, and particularly relates to a three-dimensional geological model data set generation method, comprising: discretizing a geological space that needs to be simulated, determining a three-dimensional grid system that conforms to a preset rule, constructing a three-dimensional geological curved surface grid that controls stratum distribution and geological body boundaries, assigning geological attributes by traversing each voxel in the three-dimensional geological curved surface grid, obtaining a three-dimensional data body in which each voxel has a geological identifier, performing stratum color mapping on the three-dimensional data body, and selecting a visualization mode to obtain a visualized three-dimensional model. The present application solves the problems of the prior art, such as a very long modeling process, low efficiency, and a serious lack of authenticity and diversity of the model, efficiently mass-produces a series of pre-defined geological models, covers a variety of typical geological structures from simple to complex, and accurately controls parameters of various geological elements through an algorithm, thereby improving authenticity and repeatability.

The application provides a fault recovery method, system, device, medium and product of a micro-grid system, and relates to the technical field of micro-grid control. The method comprises the following steps: obtaining fault feature data of a target power electronic device in a micro-grid system, configuration information of the micro-grid system, and an operating state of the micro-grid system; determining a recovery strategy set of the micro-grid system based on the fault feature data, the configuration information and the operating state of the micro-grid system, wherein the recovery strategy set comprises multiple sub-strategies which are executed in sequence, each sub-strategy corresponds to an execution device and an execution time, and each sub-strategy is sent to the corresponding execution device to control the execution device to execute a fault recovery operation in the sub-strategy at the respective execution time; and the method dynamically generates a recovery strategy matched with the micro-grid system to ensure that the system can stably operate after recovery.