14results about How to "Improve running characteristics" patented technology

The invention belongs to the technical field of virtual power plants, and relates to an energy storage and load aggregation method and system based on a comprehensive virtual generator and a battery model. The method comprises the following steps: aggregating multi-energy equipment in a plurality of distributed source network load storage energy systems according to a constructed aggregation model of a comprehensive virtual generator and a virtual battery to obtain an aggregate; for undetermined parameters in the aggregation model, performing parameter solution according to the constructed parameter robust optimization solution model; the parameter robust optimization solution model is divided into two-stage constraints, and a second-stage constraint condition is established based on a distributed source network load storage refined mathematical model; and carrying out approximate linear summation on the aggregation model according to a Minkowski approximate linear summation method, solving to obtain an adjustable power domain of an aggregate, and realizing resource aggregation of the multi-distributed source network load storage energy system. The aggregation processing and solving method optimizes the resource configuration in the multi-distributed source network load storage energy system, and improves the economy and flexibility of the system.

The invention discloses a fast response-based multi-target planning method for source network load storage cooperation, which belongs to the field of offshore photovoltaic technology, and comprises the steps of acquiring previous operation data, processing the data, constructing a source network load storage data set, setting constraint conditions according to equipment operation conditions, and establishing a source network load storage data set; performing multi-objective optimization solution on the source network load storage data set by applying a genetic algorithm to obtain a multi-objective optimization result; through the source network load storage multi-objective optimization system, historical data can be subjected to multi-objective optimization and stored in a database in a classified mode, existing data can be analyzed and processed, a new optimization operation scheme is obtained and stored in the database, the database is continuously improved, database scheme matching response is accelerated, and the optimization efficiency is improved. The system operation speed is effectively accelerated, so that the operation characteristics of the system are improved, the power supply reliability is improved, the energy waste is reduced, the sustainable development of the power system is promoted, and the problems of the existing source network load storage operation response delay and the like are solved.

The invention discloses a coal-fired unit model primary frequency modulation performance improvement method considering boiler characteristics. The method comprises the following steps: modeling a coal-fired unit; simplifying the unit dynamic model in the coal-fired unit; under the boundary working condition, coordinated optimization frequency modulation is carried out on the unit. By increasing operation characteristics and boundary conditions of a research unit, a frequency modulation model under a boundary working condition is constructed, and factor analysis that the frequency modulation capability of the unit is limited under the boundary working condition is completed. A multimode and self-stabilization frequency modulation comprehensive optimization technology is provided for boundary working conditions such as the operation output limit working condition and the maximum frequency difference disturbance of the thermal power generating unit; the method has an obvious effect of improving the frequency modulation capability of the thermal power generating unit under the boundary working condition.

The application discloses a kind of based on uncertainty complement's multi-wind farm aggregated day-ahead output decision and deviation control method, comprising: step 1, generating wind power data, and carrying out uncertainty fitting;Step 2, the aggregated day-ahead output collaborative optimization model of multi-wind farm grouping is established;Step 3, the aggregated day-ahead output collaborative optimization model established in step 2 is solved and generates in-group settlement and responsibility signal.The application utilizes the uncertainty complement between wind farm under the premise of not depending on external flexibility resource, and is combined with the integrated collaborative optimization of conditional risk value and mixed integer programming, realizes the closed-loop process of "grouping-aggregated day-ahead output decision-deviation calculation and apportionment-settlement".

The utility model discloses a stator core, motor and washing equipment, belonging to the technical field of motor, the stator core comprises: a plurality of stator punching sheets, the stator punching sheets are provided with rotor holes, the stator punching sheets comprise a plurality of tooth parts, the plurality of tooth parts are distributed at intervals around the axis of the stator core, the rotor holes are formed in the plurality of stator punching sheets, and the tooth parts are arranged in the stator punching sheets. Tooth grooves communicated with the rotor hole are formed between the adjacent tooth parts, the sizes of the cross sections of the plurality of tooth grooves are not completely the same, and the plurality of tooth grooves are uniformly distributed along the circumferential direction of the stator iron core; wherein the outer contours of the plurality of stator punching sheets are non-circular, the plurality of stator punching sheets are laminated, the stator iron core is divided into a plurality of punching sheet groups along the axial direction of the stator iron core, each punching sheet group comprises at least one stator punching sheet, the adjacent punching sheet groups are staggered around the axis of the stator iron core, the outer contour lines of the adjacent punching sheet groups are not completely overlapped, and the outer contour lines of the adjacent punching sheet groups are not completely overlapped. Therefore, the stator iron core can improve the utilization rate of materials, and also has a good heat dissipation capability at the same time.

The invention relates to a power generation assembly of an electric machine. The invention relates to a stator for a motor vehicle, comprising an annular laminated core having a plurality of radially arranged slots (N1,..., N72) and a wave winding having at least one continuous first, second and third conductor (U1, U2, U3), which is respectively guided through adjacent slots (N1,..., N72) for a plurality of turns, said conductor forming a composite conductor. The composite conductor has a slot step in which the first conductor (U1), the second conductor (U2) and the third conductor (U3) each span the same number of slots (N1,..., N72), and in which there is a layer change. The composite conductor further has at least one slot step change which causes the first conductor (U1), the second conductor (U2) and the third conductor (U3) to exchange their arrangement with each other in the composite conductor after the slot step change. In order to improve the efficiency and operational stability of the electric machine, at least one slot step change is made within each turn of the composite conductor.

The present invention provides a microgrid safety optimization method, comprising the following steps: determining whether a specific scenario change occurs in the current microgrid; after determining whether a specific scenario change occurs in the current microgrid, optimizing the microgrid reactive power; after completing the reactive power optimization of the microgrid, optimizing the energy storage unit in the microgrid; after completing the optimization of the energy storage unit in the microgrid, improving the overall power quality control of the energy storage system. The present invention can adjust the microgrid flow distribution through the microgrid reactive power optimization, ensure the voltage stability of each node in the system, and meet the power quality standards, so that the system can operate safely and stably, and the load can work reliably.

The utility model discloses an axial magnetic field electro-magnetic brushless motor, which comprises a casing, and a main generator, an alternating current exciter and a rectifying device which are arranged on the casing, the main generator comprises a rotating shaft, a stator disc and a rotor disc, the stator disc is fixed in the casing, the rotor disc is fixedly connected with the rotating shaft, the stator disc comprises a plurality of groups of armature windings, and the armature windings are arranged in the casing. The rotor disc comprises a plurality of groups of exciting windings, the alternating-current exciter stator is fixedly mounted in the casing, the alternating-current exciter rotor is mounted on the rotor disc, the windings of the alternating-current exciter rotor are connected with the input end of the rectifying device through wires, and the output end of the rectifying device is connected with the exciting windings through wires. The AC exciter stator is provided with a stator winding and / or a permanent magnet. According to the electro-magnetic synchronous motor, a collecting ring and an electric brush are omitted, the motor is compact in structure, light in weight, convenient to connect and higher in utilization rate, the magnetic field of the electro-magnetic synchronous motor is easy to adjust, and the magnetic field of the motor can be conveniently adjusted by adjusting the exciting current.

The invention relates to the technical field of converter valves, and particularly provides a converter valve restart optimization method, electronic equipment and a computer readable storage medium, and the method comprises the steps: carrying out the vibration analysis of a converter valve, and determining a vibration value of the converter valve under a power restoration condition; constructing vibration characteristics of the converter valve based on the vibration signal of the converter valve; determining a target current control coefficient based on the dissipated energy accumulation function of the converter valve; and determining a target control level based on the target current control coefficient, the vibration value and the vibration characteristics, and inputting a control signal under the target control level to the converter valve. In this way, the converter valve restart characteristic can be optimized, and the safety and stability of a power transmission system are improved.

The invention discloses a topological structure and an operation strategy of a hybrid multi-infeed direct current system. The hybrid multi-infeed direct-current system is fed into the receiving-end alternating-current system in a partitioned manner, an inverter of at least one receiving-end alternating-current system is an HCC converter, and the HCC converter is formed by replacing part or all of thyristors in an LCC converter with a full-control device, so that reactive power compensation can be provided for an adjacent direct-current power transmission system when a fault occurs; the problem of simultaneous commutation failure or successive commutation failure of the MIDC system is solved, and the problem of concurrent commutation failure of a non-fault end valve group is solved. When a fault is detected, the reactive output power of the HCC current converter and / or the new energy power generation device is increased, reactive dynamic support is carried out, the influence of the defects of reactive compensation equipment on the hybrid multi-infeed direct current system can be reduced, and the equipment cost and the power loss are reduced. The topological structure and the operation strategy of the hybrid multi-infeed direct current system can restrain commutation failure, and are of great significance to guarantee safe and stable operation of a power grid.

The invention relates to the field of self-generating equipment for online monitoring, and discloses a wheel contact type synchronous power generation device, an online monitoring system and an installation method. The power generation device comprises a shell and a roller, an adsorption assembly capable of being fixed to a machine shell of the rotary machine is arranged outside the shell, and a stator and a rotor are installed in the shell; the roller is slidably mounted on a guide rail on the shell, the wheel surface of the roller is in contact with the rotor, and the roller can drive the rotor to rotate when the wheel surface is in contact with a rotating shaft of the rotating machine, so that the stator generates electromagnetic induction to generate power; the roller can slide along the guide rail when the rotating shaft moves radially, and the guide rail is provided with an elastic part which is used for buffering the sliding action of the roller and guiding the roller to reset when the rotating shaft moves weakly. The device has the advantages of being easy to operate and convenient and fast to mount, dismount and maintain, wired power supply can be provided for the sensor, and stable and rapid data transmission is achieved.

The invention discloses a heat storage type gas storage device applied to a compressed supercritical carbon dioxide energy storage system, which comprises a gas storage container, a carbon dioxide working medium and a heat storage module, the storage pressure of the carbon dioxide working medium is greater than 7.38 MPa, the heat storage module is in direct contact with the carbon dioxide working medium, and the heat storage module stores heat by sensible heat or phase change latent heat. The carbon dioxide working medium is in a liquid-like or two-phase-like region high-density state during high-pressure storage in the device, the heat storage module transfers heat to carbon dioxide in the energy release process, the temperature and pressure reduction rate of the carbon dioxide is reduced, and the carbon dioxide working medium is in a gas-like or two-phase-like region low-density state during low-pressure storage after energy release. In the energy storage process, carbon dioxide stores heat in a heat storage module, and the temperature and pressure rising rate of a carbon dioxide working medium is slowed down. The device has the advantages that the heat storage module can improve the change rate of the temperature and pressure of carbon dioxide, the storage / release amount of a carbon dioxide working medium is increased, and finally the energy storage density and the operation efficiency of the compressed supercritical carbon dioxide energy storage system can be improved.

The invention discloses a wind turbine generator load simulation system and simulation method based on Bladed and Matlab, and the simulation system comprises a Bladed model initialization configuration module which is used for loading different Bladed wind turbine generator models; the Matlab model parameter configuration module is used for loading a corresponding parameter file in the Simulink model; the wind turbine generator load working condition configuration module is used for selecting working conditions; the control program and parameter configuration module is used for loading a Bladed wind turbine generator main control program, a Matlab wind turbine generator converter program and respective control parameters; and the calculation module is used for analyzing and calculating the load and analyzing the control performance. According to the method, batch efficient simulation of the wind turbine generator load can be realized, and a visual interface is provided.

A computer-implemented method for determining a closing time point of an injector of an internal combustion engine by means of a classifier, wherein the method comprises the steps of: determining a time series of input signals, wherein the input signals each correspond to a time point within the time series and each characterize a deformation of the injector; determining, by means of the classifier, a plurality of first values based on the time series of input signals, wherein each first value corresponds to a time point of the time series and the first value characterizes a probability that the closing time point of the injector coincides with the time point; determining a plurality of second values, wherein a second value is a sum of an adjacent first value and the first value, respectively, wherein the second value corresponds to the time point to which the first value corresponds; determining the closing time point based on a maximum second value of the plurality of second values.