89 results about "Grid generator" patented technology

The present invention provides a continuously tunable external cavity laser (ECL) with a compact form factor and precise tuning to a selected center wavelength of a selected wavelength grid. The ECL may thus be utilized in telecom applications to generate the center wavelengths for any channel on the ITU or other optical grid. The ECL does not require a closed loop feedback. A novel tuning mechanism is disclosed which provides for electrical or mechanical tuning to a known position or electrical parameter, e.g., voltage, current or capacitance, with the required precision in the selected center wavelength arising as a result of a novel arrangement of a grid generator and a channel selector. The grid generator exhibits first pass bands which correspond to the spacing between individual channels of the selected wavelength grid and a finesse which suppresses side band modes of the laser. The channel selector exhibits second pass bands that are wider than the first pass bands. In an embodiment of the invention the second pass bands have a periodicity substantially corresponding with the separation between the shortest wavelength channel and the longest wavelength channel of the selected wavelength grid and a finesse which suppresses channels adjacent to the selected channel. The broad second pass bands of the channel selector reduce the sensitivity of the ECL to tuning variations about the selected channel, thus avoiding the requirement of a closed loop feedback system to control the channel selector.

The invention discloses a character recognition method based on deep learning. The method includes the construction phase of a spatial transform layer and the construction and training phase of a deep convolutional neural network. The spatial transform layer consists of three parts: a positioning network receives a feature map as an input, enables the feature map to pass through a series of hidden layers, and then outputs a parameter of spatial transform, wherein the parameter is to be used for the feature map; a grid generator generates sampling grids by using the parameter generated in the first part; and a sampler takes the feature map and the sampling grids as inputs, samples the feature map at grid points, and finally obtains an output feature map result. The spatial transform layer can be differentiated. By the spatial transform layer, image data can be spatially processed in the network so that the network can learn the invariance of the space distortion and avoid the need for manually generating a large number of deformed samples in traditional convolutional network training. In addition, by building deeper volumes and neural networks, a better recognition effect is realized on a large variety of Chinese characters.

A relative navigation system projects a grid into space from a grid generator and an object, such as an unmanned aerial vehicle, may use the projected grid to aid in the landing of the object. Methods of adjusting the projected grid including stabilizing the projected grid and orienting the grid generator relative to the earth.

A system for testing is described. The system includes a wind turbine, a grid generator configured to generate power and coupled to the wind turbine, and a portable load coupled to the grid generator.

A method and system of automatically generating information in a grid structure on a display screen. In one embodiment, the present invention is directed to displaying and editing microcontroller chip configuration information. The method involves reading a data file describing a configurable sub-system of the microcontroller, identifying the configurable parameters of the sub-system and constructing a two dimensional display for displaying the values of variables associated with those parameters. The two dimensional display (“display grid”) may contain a row for each parameter, a column for the name of the parameter, and a cell in each row for each variable associated with that parameter. The cells associated with variables can be restricted to accept values chosen from a set enumerated in the data file describing the configurable sub-system. The data file contains all information necessary for generating the grid display, including its width, length, data label information, cell data and data values that can be assigned to cells. A grid generator reads the data file and automatically generates the display grid based on the embedded data definitions.

A relative navigation system projects a grid into space from a grid generator and an object, such as an unmanned aerial vehicle, may use the projected grid to aid in the landing of the object. Methods of adjusting the projected grid including stabilizing the projected grid and orienting the grid generator relative to the earth.

The invention provides a steam turbine and a speed regulating system model parameter correcting method thereof. The method includes that a steam turbine of a power grid generator set and a speed regulating system model of the steam turbine are established, and a generator set side signal is input; and whether output data of the steam turbine and the speed regulating system model of the steam turbine exceed an error threshold value or not is verified under the disturbance working condition, if the output data exceed the error threshold value, at least one correcting operation among dynamic droop correction, regenerative system correction and non-linear characteristic correction is performed, and the corrected steam turbine and the speed regulating system model of the steam turbine are generated. According to the steam turbine and the speed regulating system model parameter correcting method thereof, a transition process between normal operation conditions and accident conditions can be simulated, and a model which is well matched with actual data result and provided with robustness can be obtained.

The invention discloses a dSPACE based test method for a wind power converter controller, and relates to test methods for wind power converter controllers. According to the method, dSPACE is configured to be a controlled object such as a wind power converter, a power grid, a power generator or the like, and the controlled object is connected with the converter controller through an interface circuit, so that hardware and software of the wind power converter controller are tested. The test method belongs to semi-physical simulation; compared with pure simulation, the controller is a product-level controller, so that the test method can test a control algorithm and the hardware of the controller as well as a control code; and compared with a field test, the test method conveniently performs various limit tests such as tests of phase failure, short circuit and the like possibly causing damage to the converter, and tests with relatively high test expenses or difficultly established test conditions, such as a low voltage ride through test, a high voltage ride through test, a power grid adaptability test and the like. The test method is suitable for testing the software and the hardware of the wind power converter controller.

The invention discloses a Matlab-based model recognition method for importing from Midas to Flac3D. The method includes the following steps that a three-dimensional simulation model is established with Midas / GTS software, grid partition of the model is carried out through a grid partition module of the Midas / GTS software, free grids and mapping grids are generated through a tetrahedral grid generator and a hybrid grid generator, and coupling of grid nodes of different parts is achieved; different material attributes are given to different parts of the grids; conversion of model information text files of Midas is achieved with Matlab software; the text files are output as importable files, with the extensions of .Flac3d and .dat, of Flac, an external grid input interface is found in a file menu of Flac, the text files are imported into Flac according to the path, and all groups of grids are displayed. By means of the method, error-free connection between Midas software and Flac3D software can be achieved.

A system for testing is described. The system includes a wind turbine, a grid generator configured to generate power and coupled to the wind turbine, and a portable load coupled to the grid generator.

The invention relates to an energy storage cluster control system and an energy storage system. The energy storage cluster control system is used for frequency modulation of a power grid generating set. In the energy storage cluster control system, an energy storage cluster controller is used for receiving an adjusting power value and a frequency modulation control command and the current volume and state of an energy storage unit, receiving the information of an energy storage current transformer and a cell management system in real time, and sending a first command to an energy storage unit controller; the energy storage unit controller is used for receiving the first command and the information sent from the energy storage current transformer and the cell management system to make a judgment to generate a first control signal, and sending the first control signal to the energy storage current transformer to perform charge-discharge control; and the energy storage current transformer is used for receiving the first control signal, and timely sending the information of internal and external equipment to the energy storage unit controller. By means of the technical scheme, the energy storage cluster control system and the energy storage system can solve the technical problem of how to satisfy quick timeliness and synchronism of the frequency modulation control demand of a platform configuration with a plurality of energy storage unit in parallel and a generating set.

A relative navigation system and methods of intrusion detection for such a relative navigation system where the method includes repeatedly projecting from a grid generator a set of lines defining a grid into three dimensional space to define a field bounded by the grid and encoded with grid data configured to identify predetermined points on the grid and determining a presence of an intruding object within the field.

System and methods for providing situational awareness information to an aircrew of an aircraft including projecting into space, from a grid generator at the landing zone, a set of lines defining a relative navigation grid and encoded with grid data and configured to identify predetermined points on the relative navigation grid that provide situational awareness, detecting, with a detector module on the aircraft, a location of the aircraft within the grid and generating and displaying situational awareness information based on detected location.

The invention relates to a protection method for safe operation of a power grid, in particular to a fast switchback protection method for a generating set in a local power grid. A fast switch-back protection method for a generator set in a local power grid, which is an instruction to trigger a fast switch-back protection action of a generator set in a local power grid when the following four conditions are met simultaneously under the safe operation condition of the generator set in the local power grid : (1) The permission condition for fast switching back of the generator set in the local power grid exists; (2) The main fuel cutoff of the boiler does not occur; (3) The load of the generator in the local power grid is greater than 30%; (4) The main transformer outlet of the generator in the local power grid Switch tripped. The invention perfects the protection of the generator set in the special system in the local grid, and can run in isolation with the local grid under the condition of ensuring the safety of the generator set of the local grid. So as to meet the production continuity requirements of special industries such as metallurgy and petrochemical, and ensure the safety of personal and core equipment.

The invention discloses a channel and frequency extending method and system for an FBG (fiber bragg grating) demodulation instrument, and the system comprises a light source; a piezoelectric ceramic tunable wavelength filter which is used for converting the light from the light source into sweep frequency light in a time domain; an optical grid generator which is used for selecting the passing sweep frequency light and outputting a standard spectrum signal; two to-be-measured optical grating channels which are connected with different optical gratings and output different to-be-measured spectrum signals; a photoelectric conversion module which is used for converting the standard spectrum signal and the to-be-measured spectrum signals into electric signals, and controlling output signals according to different extending modes, which comprise a channel extending mode and a frequency extending mode; a data collection module which is used for collecting the signals outputted by the photoelectric conversion module; and a signal demodulation module which is used for carrying out the grouping, correction, demodulation and outputting of the signals collected by the data collection module.

The invention discloses a motor thyristor soft-starting control method and an application thereof. During the soft-starting process of a motor, a rising rate of a starting current of the motor is subjected to segmented control according to time periods by adopting a closed-loop control method before a current output by a soft-starting device to the motor reaches a set constant value. When a power grid generator is a synchronous motor, the motor thyristor soft-starting control method is applied and can effectively solve the technical problem that a motor protection device on a high-voltage switch cabinet warns about overvoltage faults because a soft-starting control method of the existing thyristor soft-starting control device is likely to cause increased exciting current and overhigh voltage output of the motor end. When the motor thyristor soft-starting control method is applied to a high-power or super-power motor soft-starting control system, the technical problems of under-compensation or over-compensation of the system which easily occur in the prior art can be solved.

The invention discloses a method for improving power grid frequency stability based on sliding mode control. The frequency of the power grid can be controlled more quickly. The method comprises the following steps: 1, building a single-region off-grid generator set mathematical model, and constructing a system state equation; 2, designing a sliding mode surface function of the system, and judgingconvergence of the sliding mode surface function through the Lyapunov criterion; and 3, designing the control rate u of the system, and judging convergence of the system through the Lyapunov criterion. Compared with a traditional PID control method, a sliding mode control method is adopted for frequency control, the main innovation of the sliding mode control strategy is that the sliding mode surface function adopts a proportional-integral (PI) function, the control rate is high, and the anti-interference capability of the system is high.

The invention discloses an optimized generator tripping capacity acquisition method for suppressing a high-frequency problem of a sending-end power grid. The method comprises the steps of firstly analyzing a sending-end power grid high-frequency problem and a related suppression strategy under a high-capacity direct-current blocking accident; and then constructing a power grid generator tripping capacity optimization model, calculating generator tripping penalty factors of each power supply in the sending-end power grid, and finally substituting the generator tripping penalty factors into thepower grid generator tripping capacity optimization model considering the system frequency stability requirement to solve to obtain the sending-end power grid generator tripping optimization mode andthe corresponding generator tripping capacity under the direct-current blocking accident. According to the scheme, the global power supply of the sending-end power grid is brought into a removal alternative, the difference of generator tripping effects among different types of power supplies is considered, and the removal effects of different regions and different parameter performance units are quantitatively quantified through generator tripping penalty factors; the related suppression strategy of the high-frequency problem of the sending-end power grid under the impact of the large-capacitydirect-current locking anticipated accident is coordinated and optimized, the active surplus in the sending-end power grid is remarkably reduced, the total generator tripping capacity is kept withina reasonable range, and undertripping and overtripping phenomena are effectively avoided.

The invention discloses a main network day-ahead scheduling method of considering the active power regulation capability of active distribution networks and belongs to the technical field of electricengineering. Information collection restrictions of main network scheduling and distribution network scheduling are considered. According to the method, conventional technical parameters of the main network and the distribution networks are collected separately to obtain load prediction curves of two stages of networks; detailed modeling is carried out on the main network and the distribution networks separately; and meanwhile, a method for efficiently solving models is provided on the basis of information interaction of the main network and the distribution networks. The influence of the active power regulation capability of the active distribution networks containing energy storage on day-ahead scheduling production is fully considered, global optimization of the whole network can be achieved through the optimized scheduling scheme, the power generation cost of a generator set of the network is reduced to the maximum extent and waste of resources is reduced.

The invention discloses a mixed integer convex programming method for optimal power distribution of AC / DC parallel transmission channels, based on the active power generation dispatching plan of the whole grid generator set and the active power transmission plan of the DC transmission line, by means of processing methods of cone relaxation transformation and large M method equivalence, the objective function and constraint conditions with high nonlinearity are subjected to convexification processing, the established optimization model is transformed into a mixed integer convex programming model which is easy to solve, the obtained optimal power allocation scheme of AC / DC transmission channel can effectively reduce the loss of AC and DC transmission channels, obvious economic benefits are achieved, and the mathematical optimization of the solution is ensured, and the solving efficiency of optimization calculation is improved, so as to achieve the operation economy of AC / DC interconnected power network.

A face image adjusting system comprises a control memory and an image input device, a grid generator, a measurer, a converter and a synthesizer respectively connected with the control memory. The image input device is used for videoing an initial full face image and a side face image, and used for uploading the images to the control memory for storage; the grid generator employs the initial full face image to generate an initial full face grid structure, and employs the side face image to generate a side face grid structure. The measurer measures the face characteristic values on the initial full face grid structure and the side face grid structure, sends the face characteristic values to the control memory for storage, and determines a symmetric line so as to divide the initial full face grid structure into two symmetric initial half-face structures. The converter employs the initial half-face structure and the side face grid structure to form a first half-face grid structure; the synthesizer maps the first half-face grid structure by using the symmetric line as a reference line so as to form a second half-face grid structure, thereby creating a first full-face grid structure.

A sensor system having multiple sensors and having a grid generator projecting into space a relative navigation grid and a method of utilizing multiple airborne sensors operably coupled to an aircraft and coordinating the sensor outputs from the airborne sensors based on the determined spatial position of the multiple sensors and a method for utilizing multiple airborne sensors.

The invention relates to a road ground three-dimensional feature collection method and device based on a laser grid. The device includes a housing; two cameras, a laser grid generator and a central control processing system are arranged in the shell; the two cameras are symmetrically arranged at the positions, on the left side and the right side of the laser grid generator, of the shell, the lasergrid generator is parallel to the optical axes of the two cameras, the laser grid generator and the binocular camera are both controlled by the central control module, and image signals of the cameras are transmitted to the central control processing module through link communication. the topographic features of the ground are obtained in real time by adopting a method of combining stereoscopic vision and laser grid projection, real-time data are provided for path planning and decision making in automatic driving or auxiliary driving, dangers such as road pits and obstacles are avoided in time, and the driving safety is greatly improved.

A method of neural network operations by using a grid generator is provided for converting modes according to classes of areas to satisfy level 4 of autonomous vehicles. The method includes steps of: (a) a computing device instructing a pair detector to acquire information on locations and classes of pairs for testing by detecting the pairs for testing; (b) the computing device instructing the grid generator to generate section information by referring to the information on the locations of the pairs for testing; (c) the computing device instructing a neural network to determine parameters for testing by referring to parameters for training which have been learned by using information on pairs for training; and (d) the computing device instructing the neural network to apply the neural network operations to a test image by using each of the parameters for testing to thereby generate one or more neural network outputs.

A sensor system having multiple sensors and having a grid generator projecting into space a relative navigation grid and a method of utilizing multiple airborne sensors operably coupled to an aircraft and coordinating the sensor outputs from the airborne sensors based on the determined spatial position of the multiple sensors and a method for utilizing multiple airborne sensors.

A system and method for radio network planning comprises a grid generator and a Monte Carlo analysis module. The Monte Carlo analysis module comprises a snapshot generation module which draws, for each snapshot and for each pixel, a statistical realization from a distribution function relating to slow fading, and a snapshot evaluation module which establishes radio network parameters. The Monte Carlo analysis module further comprises a sub-snapshot generation module which generates at least one sub-snapshot for each evaluated snapshot result, and a sub-snapshot evaluation module (14) for evaluating HSDPA performance parameters based on the sub-snapshot. The sub-snapshot evaluation module (14) comprises a scheduler module (16) which is arranged for scheduling a HSDPA user according to a scheduling scheme.

The invention relates to an electric vehicle charging optimization scheduling method considering transmission and distribution cooperation and containing reactive voltage constraints. According to themethod, a unit combination with the optimal cost is obtained by adopting a particle swarm algorithm improved on the basis of bacterium chemotaxis for a power transmission network model, and the solving efficiency of the model is improved by increasing direct-current power flow constraints; the power transmission network generator set model is divided into main and sub problems for iterative solution through Benders decomposition, and the solution efficiency of the model is further improved; photovoltaic unit power generation is used for cooperative scheduling, and the system operation efficiency is guaranteed; and on the premise that a distribution network layer considers security constraints, a node preprocessing strategy is adopted, a solution space range is reduced, and the overall solution efficiency is improved.

A system and method for radio network planning comprises a grid generator and a Monte Carlo analysis module. The Monte Carlo analysis module comprises a snapshot generation module which draws, for each snapshot and for each pixel, a statistical realisation from a distribution function relating to slow fading, and a snapshot evaluation module which establishes radio network parameters. The Monte Carlo analysis module further comprises a sub-snapshot generation module which generates at least one sub-snapshot for each evaluated snapshot result, and a sub-snapshot evaluation module (14) for evaluating HSDPA performance parameters based on the sub-snapshot. The sub-snapshot evaluation module (14) comprises a scheduler module (16) which is arranged for scheduling a HSDPA user according to a scheduling scheme.

The invention discloses a method and a system for adjusting difference adjustment coefficient of a direct current-containing power grid generator, and belongs to the technical field of electric powersystem operation control. The method comprises the following steps: constructing a target function in the adjusting process of the difference adjustment coefficient, that is, the voltage standard difference index of central nodes under multiple periods in a regional power grid is minimal; constructing the constraint conditions in the adjusting process of the difference adjustment coefficient, wherein the constraint conditions comprise trend constraint, control variable constraint and security constraint, and the trend constrain equation contains an electric generator node, an alternating current PQ node and a direct current PQ node; and solving the target function by a particle swarm algorithm, and finding a group of difference adjustment coefficient which enables the target function to obtain the minimum value when the constraint conditions are met, namely an electric generator difference adjustment coefficient adjusting value. By the method and the system, the difference adjustment coefficient of the electric generator in the regional power grid can be optimized rapidly and efficiently and the voltage level of the power grid is improved.

The invention discloses an excitation control system applicable to a steam turbine generator unit of a self-generation power plant. The excitation control system comprises a signal collection unit used for obtaining an external power power-supplying fluctuation signal between the self-generation power plant and an external power grid and / or an internal grid power-supplying fluctuation signal of asteam turbine generator, a signal processing unit used for obtaining a current external power power-supplying fluctuation parameter and / or an internal grid generator power-supplying fluctuation parameter, a load control unit used for controlling the operating state of a power load, an output control unit used for regulating the output power of a backup steam turbine generator, and a call wire power factor control unit used for realizing real-time control of a call wire power factor. The invention also discloses an excitation control method applicable to the steam turbine generator unit of theself-generation power plant. By virtue of the technical scheme, fluctuation of output power of the internal power grid of a sugar refinery in isolated grid or grid-connected operation can be lowered,so that switching of two kinds of operating modes of steam constant current and constant power grid connection is realized, and operation of the sugar refinery can be more energy-saving and economical.