23 results about "Electric field computation" patented technology

This application provides a simulation system and method for the AC characteristics of vacuum diodes based on a physical information neural network, belonging to the field of numerical simulation technology for electronic devices. The system includes a particle injection module, a particle deposition module, a Poisson equation solving module, an electric field calculation module, and a particle propulsion module. The particle injection module continuously injects electron particles; the particle deposition module maps particle information to a grid and calculates the electron density; the Poisson equation solving module uses a physical information neural network method to solve for the potential distribution based on the electron density; the electric field calculation module obtains the spatial electric field; and the particle propulsion module updates the particle velocity and position, forming a self-consistent coupled simulation. This application achieves continuous and smooth potential solutions through hard constraint embedding of boundary conditions, two-stage optimization, and loss scale adjustment mechanisms, reducing grid dependence and improving computational accuracy and efficiency. It is suitable for numerical simulation of vacuum electronic devices, electron beam systems, and space charge transport problems.

The application provides a kind of network matching not power operation control system based on three-dimensional point cloud, it is related to image processing technical field, the application carries out geometric analysis to three-dimensional point cloud model, and identifies the high curvature geometric discharge candidate point set;And fusion real-time sensing electric field distribution and air charge density data, for each candidate point calculates critical discharge tendency index to carry out physical risk empowerment;Through weighted density clustering algorithm, the discharge risk source area composed of high-risk points is identified.The system also compares the actual electric field with the theoretical simulation electric field, calculates the electric field topological distortion degree, to find out the hidden faults caused by non-geometric factors.Finally, the system executes the hierarchical safety strategy according to the risk source area level or distortion degree result, such as constructing dynamic safety boundary or implementing fault isolation.The application can detect the explicit and hidden risks comprehensively, and can execute fine safety control, which improves the safety and intelligent level of operation.

The application relates to a method and device for calculating the development process of series vacuum gap breakdown. The method comprises the following steps: constructing a series vacuum gap equivalent circuit model according to a plurality of vacuum gap parallel circuits; determining a flow conductance coefficient of the vacuum gap based on the series vacuum gap equivalent circuit model, plasma parameters of cathode plasma and an electric field calculation model of the vacuum gap; determining a vacuum gap equivalent resistance based on the series vacuum gap equivalent circuit model, a plasma expansion radius of the cathode plasma and the flow conductance coefficient of the vacuum gap; determining a vacuum gap breakdown voltage based on the series vacuum gap equivalent circuit model and vacuum gap breakdown data; and calculating the development process of the series vacuum gap breakdown based on the vacuum gap equivalent resistance and the vacuum gap breakdown voltage. The method can reduce the application risk of the series vacuum gap at high voltage.

The invention belongs to the technical field of electric power system electromagnetic field simulation, and relates to an electric field calculation system and method for an offshore flexible straight valve hall. Comprising the following steps that valve hall design parameters are obtained, and the design parameters at least comprise an original drawing, space size information and voltage excitation conditions of electrical equipment; based on the original drawing and the spatial size information, establishing a three-dimensional geometric model containing main electrical equipment in the valve hall; importing the three-dimensional geometric model into a finite element analysis environment, defining the material attribute of each part, and applying a boundary condition corresponding to the voltage excitation condition; and grid division is carried out on the model after the boundary condition is applied, electrostatic field solving calculation is carried out, an electric field distribution result of the internal space of the valve hall is obtained, and the electric field distribution result is output. According to the invention, accurate and efficient simulation of electric field distribution in the complex valve hall is realized.

The invention relates to a DC GIS insulator contour optimization method considering transient reliability. The DC GIS insulator contour optimization method comprises the following steps: defining insulator contour variables based on parameterized curve fitting; calculating a direct current charging electric field based on a partial differential equation; calculating an electric field under the action of tolerable transient voltage based on a partial differential equation; carrying out target optimization modeling; and carrying out optimization solution based on a self-adaptive covariance evolutionary strategy. According to the method, an insulator contour target optimization model taking a basin-type insulator contour variable as a decision variable, taking the weighted sum of the maximum value of the insulator surface electric field intensity under the action of a minimized direct current voltage as a target function, and taking the maximum value of the electric field intensity under the action of polarity inversion and lightning impulse voltage as a constraint condition is adopted; the optimal geometrical shape of the basin-type insulator is solved by utilizing a self-adaptive covariance evolutionary strategy, and the surface electric field intensity of the insulator is reduced to the greatest extent and the insulating property of the insulator is improved on the premise of meeting an allowable value specified by a design criterion and ensuring the transient voltage tolerance reliability.

This invention provides a method for optimizing the structure of lightning protection insulators based on surface electric field characteristics, comprising: S1. Modeling the target lightning protection insulator using Solidworks software, wherein the size ratio of the established target lightning protection insulator model to the actual target lightning protection insulator is 1:1; S2. Meshing the target lightning protection insulator model using a local refinement algorithm; S3. Determining the input parameters of the target lightning protection insulator, including rated voltage, metal electrode material, silicone shed material, and zinc oxide valve plate material; S4. Inputting the input parameters of the target lightning protection insulator into the finite element electric field calculation model to calculate indices, including the maximum electric field E along the surface of the insulation section. 1max The maximum electric field E on the surface of the disc electrode 2max The maximum electric field E on the surface of the spherical electrode 3max And determine the coefficient of electric field non-uniformity ξ along the surface of the insulation section. E And the ratio R1 of the maximum electric field value along the surface of the protective electrode and the insulation section; S5. Determine the comprehensive index β1; S6. Determine whether the comprehensive index β1 meets the set index threshold. If so, manufacture according to the predetermined size of the current target insulator. Otherwise, adjust the weight of each index in the comprehensive index β1 calculation model, and adjust the diameter of the spherical electrode, the diameter of the disc electrode, the distance of the protective gap and the extension length of the shed, and return to step S1.

The invention provides a transcranial magnetic stimulation simulation method under simulated microgravity. The method comprises the following steps: constructing a human head three-dimensional grid model; wherein the parameters comprise low-frequency target electrical characteristic parameters in the corresponding microgravity environment; establishing an electromagnetic simulation model; and determining a tissue area generating effective stimulation based on the model and a threshold value. Through the corrected conductivity, the model can truly reflect brain tissue electrical characteristic changes caused by microgravity, and electric field calculation errors caused by parameter solidification are overcome. And secondly, the nerve activation threshold value suitable for the microgravity environment is determined by fusing the excitability correction coefficients of the cells and the network hierarchy, so that the problem of misjudgment of the stimulation effectiveness caused by reduction of the excitability of the neurons is solved. And finally, through electromagnetic simulation coupled with the adaptive parameters, reliable prediction of induced electric field distribution and an effective stimulation area under a microgravity condition is realized.

The invention discloses a primary and secondary fusion ring main unit gas tank internal insulation part electric field homogenization optimization method, and relates to the technical field of high voltage switchgear electric field optimization, and the method comprises the steps: building a three-dimensional model containing all insulation parts, independently marking the surface and internal dielectric attributes of each part, and precisely depicting a material interface; and further setting the actual pressure and component proportion of the insulating gas, and applying rated voltage and various transient overvoltage excitation to carry out electric field calculation. Based on the obtained electric field distribution cloud picture, a high-field-intensity area and a specific insulation part and position associated with the high-field-intensity area can be accurately positioned, and an optimization scheme of geometric shape adjustment or dielectric constant gradient adjustment is matched for the position. According to the method, precise identification and targeted optimization of insulation weak points are realized through refined modeling of component attributes and composite simulation of actual working conditions, and the insulation reliability of equipment in a real operation environment is improved.

The application provides an inductance adjusting method and device, an adjustable reactor, a medium and a program product. It relates to the technical field of electric power. The method comprises the following steps: obtaining a working environment and a working frequency of an adjustable reactor; searching for an electric field calculation formula corresponding to the working environment in multiple electric field calculation formulas to obtain a target electric field calculation formula of the adjustable reactor, the electric field calculation formula being used to describe the relationship between dielectric characteristics and the working frequency under the working environment; obtaining a dielectric characteristic parameter of the adjustable reactor according to the target electric field calculation formula based on the working frequency of the adjustable reactor; and adjusting the inductance of the adjustable reactor based on the dielectric characteristic parameter. The application achieves the effect of accurate inductance adjustment.

This invention provides a method for calculating the maximum surface electric field of AC transmission lines based on an optimized simulated charge method. This method uses a quasi-random strategy and first-order forward differencing to determine candidate intervals containing minima, controlling computational convergence and stability. Then, the Brent method is used for local optimum approximation to optimize charge placement, calculating the position parameters and charge quantity of the corresponding simulated charges, and solving for the electric field distribution on the conductor surface. For some difficult-to-measure points and points requiring numerous repeated measurements, this method can reduce the workload and cost of on-site measurements. The aforementioned optimization method reduces the number of high-order matrix operations, lowering potential errors while reducing iterative computation costs, and improving the efficiency and stability of maximum surface electric field calculation.

The application discloses a near-field antenna measurement method based on phase reduction, and mainly solves the problem that the high-frequency antenna near-field phase is difficult to obtain in the existing antenna measurement technology, and the high-frequency antenna near-field cannot be accurately measured. The implementation scheme is as follows: the amplitude of two planes of the high-frequency antenna near-field is obtained through near-field antenna measurement, the optimal initial phase of the first plane is calculated according to the amplitudes of the two planes by using a global optimization algorithm, and the phase of the first plane of the high-frequency antenna near-field is restored from the optimal initial phase and the amplitudes of the two planes by using an iterative Fourier algorithm; the electric field of the first plane is composed of the amplitude and the restored phase of the first plane, and the far-field pattern of the high-frequency antenna is calculated from the electric field. The phase of the high-frequency antenna is obtained by using the optimization and restoration algorithm, and the measurement is not needed, so that the problem that the antenna near-field phase is difficult to obtain in the prior art is solved, the cost of the near-field antenna measurement is saved, and the method is compatible with the high-frequency and low-frequency antenna measurement, and has strong practicability.

The invention discloses a transfer learning-based converter transformer electrostatic ring structure optimization method and a related device, and the method comprises the steps: carrying out the sampling in a value range of a to-be-optimized structure variable parameter of an electrostatic ring, obtaining a plurality of groups of working condition combination data, carrying out the geometric reconstruction and pure electric field calculation of the electrostatic ring, and obtaining two indexes; further obtaining source domain data; selecting a plurality of groups of working condition combination data from the plurality of groups of working condition combination data, performing geometric reconstruction and electrothermal coupling calculation on the electrostatic ring, obtaining two indexes corresponding to each group of working condition combination data, and further obtaining target domain data; the source domain data and the target domain data are calculated through the transfer learning model, and the minimum insulation margin of the oil gap under the alternating current working condition and the maximum electric field intensity in the insulating paperboard under the direct current working condition are obtained through prediction; and then screening is carried out so as to determine the optimal structure variable parameter of the electrostatic ring. The optimization efficiency and performance of the electrostatic ring structure on the valve side of the converter transformer under the electrothermal coupling condition can be improved.

The application relates to a floating photovoltaic array fault positioning method, a computer device and a computer readable storage medium, wherein the floating photovoltaic array fault positioning method comprises the following steps: collecting floating platform distance data and floating platform original coordinates, constructing a floating platform position topology graph after pretreatment, and obtaining floating platform coordinates by adopting a weighted least square method; collecting floating platform electric field intensity data, binding the floating platform electric field intensity data with the floating platform coordinates, and generating an electric field-coordinate correlation matrix; importing the electric field-coordinate correlation matrix into a cross-medium electromagnetic coupling model, establishing an air-water dual-medium Maxwell equation set, and generating a global electric field by strengthening a continuity condition through a boundary element method; calculating a spatial electric field gradient distribution of the global electric field, positioning a maximum value point of the gradient, and generating fault point coordinates; and according to a Euclidean distance between the fault point coordinates and the floating platform coordinates, performing floating platform attribution determination, and obtaining an accurate position of a fault component of the floating photovoltaic array.

This application provides an intelligent operation control method and system for switchgear, applied in the field of smart grid technology. The method constructs a water vapor gradient distribution field and surface dielectric parameters within the switchgear, identifies the time-varying mechanical characteristics of the mechanism's springs, and dynamically couples electric field calculations with nonlinear mechanical motion to form a simultaneous calculation model. Based on this, it integrates voltage synchronization windows, quantified insulation, and mechanical constraints to online optimize and generate the optimal drive current waveform and execute closing. Finally, it uses closing process data to calibrate key parameters in real time. The system includes functional modules that execute the above processes. This application achieves adaptive optimization control for closing based on specific environments and equipment states, effectively improving the safety, reliability, and intelligence level of operation.

The invention provides a method for determining the relaxation deformation error amount of a main reflecting surface of a large-scale antenna based on compensation of a modified auxiliary reflecting surface. An orthogonal function is utilized to describe an independent error term of the main reflecting surface of the antenna, so that the antenna has universality, and a calculation model of relaxation deformation errors of the main reflecting surface is established by combining the functions of approximate electric field calculation and auxiliary reflecting surface correction. In order to solve the problem of the model containing inner and outer double-layer optimization, an optical path length error iterative compensation method is adopted to quickly design and correct the subreflector. For external optimization, an outer layer solving method for obtaining approximate upper and lower bounds of a relaxed main reflecting surface error term and a convergence result through dichotomy iteration is designed based on a monotonic relationship between a reflecting surface error and an antenna gain.

This invention discloses a method for optimizing the electric field homogenization of internal insulating components in a primary and secondary integrated ring main unit (RMU) gas tank. It relates to the field of electric field optimization technology for high-voltage switchgear. The method involves establishing a three-dimensional model containing all insulating components and independently labeling the surface and internal dielectric properties of each component to accurately characterize the material interface. Then, the actual pressure and composition ratio of the insulating gas are set, and rated voltage and various transient overvoltage excitations are applied to calculate the electric field. Based on the obtained electric field distribution cloud map, high-field-strength regions and their associated specific insulating components and locations can be accurately located, and optimization schemes such as geometric shape adjustment or dielectric constant gradient adjustment can be matched to these locations. This method, through refined modeling of component properties and composite simulation of actual operating conditions, achieves accurate identification and targeted optimization of insulation weaknesses, improving the insulation reliability of the equipment in real-world operating environments.

This invention relates to the field of insulator optimization technology, specifically providing an insulator optimization method based on dielectric constant gradient modulation of the spatial electric field. The method includes: establishing a geometric model of the GIS equipment's cavity, central conductor, grounding tank, and insulator working together in a two-dimensional axisymmetric coordinate system; constructing a gradient power function of the dielectric constant varying radially based on the insulator's geometric and material parameters; defining the electric field calculation region; solving the electric field equations using this function and preset boundary conditions to obtain potential and electric field intensity distribution data; optimizing the dielectric constant gradient parameters with electric field coverage and average tangential field strength as dual optimization objectives and maximum field strength along the surface as a constraint, thus completing the insulator optimization. This invention provides an insulator optimization method based on dielectric constant gradient modulation of the spatial electric field, which solves the problem that insulator optimization methods fail to actively modulate the spatial electric field, making it difficult to fundamentally eliminate insulation faults caused by metal particles.

The invention belongs to the technical field of high-voltage power transmission equipment, and particularly relates to an electric field intensity accurate calculation method and system for a converter transformer valve side bushing. An electrothermal coupling simulation model used for calculating the internal electric field distribution of the valve side sleeve is provided, verification shows that the calculation method result can accurately calculate the internal electric field intensity of the valve side sleeve, and the problem that a traditional electric field calculation method is insufficient in precision is effectively relieved. The method provides theoretical and technical support for electric field intensity optimization of the converter transformer valve side sleeve and reliable design of an insulation system.

This application discloses a method, apparatus, device, and storage medium for predicting temperature-varying electric fields based on multiphase heterogeneous interfaces. This application acquires a dielectric property characterization dataset; calculates the electric field distribution based on the dielectric property characterization dataset to obtain the temperature-varying electric field calculation results; constructs a model based on the temperature-varying electric field calculation results to obtain a temperature-varying electric field prediction model; and inputs the multiphase heterogeneous interface material data into the temperature-varying electric field prediction model for fitting calculation to obtain the temperature-varying electric field prediction results. This application first constructs a temperature-varying electric field prediction model based on the dielectric property characterization dataset, and then performs fitting calculation through the temperature-varying electric field prediction model to obtain the temperature-varying electric field prediction results, achieving high-precision electric field prediction and improving the insulation reliability of the equipment.

The application discloses a kind of test method and related equipment to gas-solid composite insulation system gas conductance, method includes: obtaining target gas at target air pressure and target temperature gas-solid interface intrinsic response signal and target electric field different time space charge signal and bulk charge density signal;According to bulk charge density signal and intrinsic response signal, the surface charge density signal of gas-solid interface is determined, according to time window and surface charge density signal, average interface charge change rate, gas side time average equivalent electric field and solid side time average equivalent electric field are determined;The conductivity of solid insulating material at target temperature and target electric field is obtained, and the equivalent conductivity of gas in time window is calculated according to conductivity, average interface charge change rate, gas side time average equivalent electric field and solid side time average equivalent electric field.The application embodiment can improve the accuracy of gas-solid composite insulation system gas conductance test.The application can be widely applied in electrical testing technical field.

Three-dimensional inversion method and device for electrical source transient electromagnetic data, and a storage medium are provided. The method includes: step S1, collecting a vertical induced voltage vz and a horizontal electric field ex of electrical source transient electromagnetic; step S2, calculating, by using the vertical induced voltage vz and the horizontal electric field ex, an all-time apparent resistivity; step S3, performing, according to the all-time apparent resistivity, time-frequency conversion to obtain frequency-apparent resistivity data of each observation point; and step S4, performing three-dimensional inversion on the frequency-apparent resistivity data by using a three-dimensional magnetotelluric inversion algorithm.

The application discloses a coercive electric field calculation method, system, equipment and medium of ferroelectric material, relates to the technical field of coercive electric field estimation, and comprises the following steps: selecting an initial state and a final state of the ferroelectric material; the initial state is a stable state of the ferroelectric material, and the final state is another stable state; or the initial state is a ferroelectric state of the ferroelectric material, and the final state is a central symmetric state; a minimum energy path method of a first principle is used to generate a polarization reversal path from the initial state to the final state and a continuous inversion path; a double polarization strategy is used to obtain the polarization value of each structure point in the continuous inversion path, and the maximum energy point is determined according to the energy distribution of the structure point; the polarization difference and the reversal barrier of the ferroelectric phase and the paraelectric phase are extracted; and the coercive electric field is obtained by the ratio of the reversal barrier to the polarization difference. The application obtains the real polarization reversal path through the minimum energy path algorithm, avoids the energy distortion and polarization error that may be introduced by the non-physical linear interpolation path, and thus accurately captures the reversal barrier and the polarization evolution.