24results about How to "Avoid frequency" patented technology

The invention relates to a shared energy storage virtual inertia compensation control method for wind power cluster collection, and belongs to the technical field of power system control. In order to solve the problem of insufficient cooperative control of a wind power system and an energy storage system in the prior art, a dynamic model is established by obtaining operation parameters, and the dynamic model comprises a wind turbine generator active power control model and an energy storage system charging and discharging model; designing a virtual inertia control strategy, and introducing virtual inertia control to simulate inertia response characteristics of the synchronous generator; shared energy storage coordination control is carried out, and a strategy is designed by using an MPC method according to an inertia demand and an SOC state; establishing a frequency dynamic response model and calculating inertia response time as a virtual inertia control start-stop condition; and optimizing controller parameters and designing locking logic by adopting an intelligent algorithm. The method can improve the system performance and efficiency, enhance the frequency stability, improve the energy utilization efficiency of the energy storage system, optimize the system performance, and improve the system stability and reliability.

The invention discloses a venue building fire automatic early warning construction integrated device and a using method. The venue building fire automatic early warning construction integrated device comprises a mounting base, a shell is arranged at the lower end of the mounting base, an air inlet cover is arranged in the center of the lower end of the shell, a filter screen is fixedly mounted at the position, close to the bottom, of the surface of the air inlet cover, and the upper end of the air inlet cover penetrates into the shell. According to the automatic early warning construction integrated device for the venue building fire, through the scheme of the mounting base, the rotating column, a second gear, a third gear, a threaded rod, a threaded plate, a clamping plate, a connecting block, a clamping groove, a clamping block and a rotating button, an operator rotates the rotating button, and then the second gear can be meshed with the second gear to drive the threaded rod to rotate; the two threaded plates can horizontally move oppositely or oppositely, so that the clamping blocks on the clamping plates are driven to be tightly combined with or separated from the clamping grooves, the mounting and dismounting steps are simplified, and the complexity caused by a traditional screw fixing mode is avoided.

The invention discloses a power distribution network post-fault load recovery method considering minimum duration, which comprises the following steps of: 1, establishing a target function of a power distribution network post-fault load recovery model by taking maximization of weighted load recovery quantity and maximization of minimum duration of a micro-grid as targets; 2, establishing a power distribution network radial constraint by considering the running radial performance of the power distribution network; 3, considering the minimum duration of the micro-grid, and establishing the minimum duration constraint of the micro-grid; 4, mobile emergency power supply vehicle constraints are established; 5, considering operation safety of the power distribution network, and establishing power flow balance and safe operation constraints of the power distribution network; and 6, solving the power distribution network post-fault load recovery model, and obtaining a power distribution network post-fault load recovery scheme. According to the method, the operation safety of the power distribution network is ensured, the problem of unbalanced power flow is avoided, the minimum duration time of the micro-grid and the mobile emergency power supply vehicle are cooperatively considered, the load recovery method after the power distribution network breaks down is effectively obtained, and the power failure loss is reduced.

The invention discloses a thermal power generating unit ordered decommissioning planning method and system in an electric power system, and the method comprises the steps: constructing a source network storage multi-stage planning model of the frequency supporting capability after the electric power system is disturbed; according to the model, system inertia constraint, carbon emission limit constraint, hydroelectric generating unit seasonal electric quantity constraint and thermal power generating unit decommissioning constraint are adopted as constraint conditions, and a safe and stable thermal power generating unit ordered decommissioning planning scheme can be obtained through linear solving of the model. According to the scheme, the frequency supporting capacity of the disturbed power system is continuously reduced, and the frequency problem caused by insufficient inertia of the power grid is avoided. According to the method, a linearization solution mode is adopted, non-negative continuous variables are introduced based on a large M method to carry out linearization equivalent processing on constraint conditions in a source network storage multi-stage planning model, and therefore an ordered decommissioning planning scheme of the thermal power generating unit can be rapidly obtained.

A method for synchronous excitation of multiple exciters relates to the field of dynamic testing and vibration control technology for large civil structures. The method includes the following steps: after constructing a unified time reference based on satellite navigation signals and a rubidium atomic clock, excitation amplitude and phase parameters are obtained based on the target modal requirements, and these parameters are sent to all exciter slave stations; the exciter slave stations generate a reference trajectory based on the excitation amplitude and phase parameters, enabling the exciter motor shaft angle to follow the reference trajectory in real time and output the target excitation; the phase error is obtained based on the measured excitation phase value and the reference trajectory, and then the motor angular velocity of the exciter is corrected based on the phase error. This invention solves the problems of startup phase error and long-term frequency drift in master-slave triggering schemes, ensuring synchronous start-up of all exciters. Combined with dynamic correction of the exciter motor angular velocity, it suppresses phase drift during long-term operation, significantly improving the excitation efficiency of higher-order modes and the clarity of the response signal.

The application discloses a kind of secondary frequency control method, device and storage medium based on neural network, belong to microgrid control technical field, method includes: obtaining the rated angular frequency of distributed microgrid preset, and the active power of each distributed power generation unit;Active power is respectively input into the corresponding pre-trained neural network, and the frequency compensation of each distributed power generation unit is output, the frequency deviation caused by droop control is compensated, so that the angular frequency of distributed microgrid output recovers to the rated angular frequency preset;Corresponding pre-trained neural network refers to the neural network that each distributed power generation unit corresponds one training process and is added privacy protection processing, so that attacker cannot infer whether single sample is used for the training of neural network according to neural network output result.The application can improve the security and stability of microgrid, solve the problem that traditional secondary frequency control method exists privacy leakage risk and security risk.

This invention relates to the field of quartz crystal technology, specifically to a high-frequency stability circuit design method based on miniature quartz crystals, comprising: Step 1: obtaining the geometric and material parameters of the miniature quartz crystal; Step 2: establishing an equivalent circuit model of the quartz crystal based on the geometric and material parameters; Step 3: designing a high-frequency oscillation circuit based on the equivalent circuit model and determining the oscillation frequency; Step 4: using a frequency stability optimization algorithm to calculate the component parameters of the high-frequency oscillation circuit to minimize the frequency temperature coefficient at the target frequency; Step 5: using a particle swarm optimization algorithm for optimization. This invention can effectively improve the frequency stability and reliability of miniature quartz crystals in high-frequency applications.

The embodiment of the invention provides an automatic river curve contradiction detection method, and relates to the technical field of geographic information data processing, and the method comprises the following steps: generating river element data and contour line element data through vector map data, traversing the river element data and the contour line element data, and calculating a river curve contradiction; the intersection points and the elevation values corresponding to the intersection points are stored in the river element data; elevation values of all points corresponding to each river element in the river element data are obtained, and all the points of the river elements are sorted according to the descending order of the elevation values; traversing the intersection point coordinate list, calculating to obtain a first direction angle corresponding to the first vector line segment, and calculating to obtain a second direction angle corresponding to the second vector line segment; and judging whether the river element curve has contradiction or not through the angle of the first direction angle, the angle of the second direction angle and the sensitivity value. According to the scheme, through automatic detection, the river curve contradiction detection efficiency is improved.

This invention discloses a method for suppressing current imbalance and power oscillations based on a virtual synchronous generator (VSG). First, a traditional VSG loop model is established and its parameters are tuned. Then, the positive and negative sequence components of the grid-connected voltage, filter capacitor terminal voltage, and grid-connected current are extracted using a time-delay cancellation method and transformed to a synchronous rotating coordinate system. An equivalent VSG grid-connected loop model is added to the traditional VSG model. The traditional active power and extended reactive power calculation methods are transformed to the synchronous rotating coordinate system, and a reference value for the grid-connected current that suppresses the second harmonic component of the power is derived. A PI controller is used to make the actual grid-connected current track the reference value, and the output modulated wave drives the inverter. This invention can simultaneously suppress the second harmonic oscillations of active and reactive power, improve grid-connected current imbalance and distortion problems, while retaining the active power frequency regulation, reactive power voltage regulation, and inertial support characteristics of the VSG, thus improving the stability and power quality of the new energy grid-connected system.

An interference filter type external cavity semiconductor laser is characterized by being composed of a laser base, a laser light source assembly, a filter wavelength adjusting assembly, a cat eye reflection optical assembly and a cavity length temperature control tuning device. The laser provided by the utility model is high in structural force and thermal stability, integrates the functions of laser beam expanding collimation, laser diode LD temperature control and monitoring, external cavity output frequency tuning, laser mode selection, laser frequency stabilization and spatial light adjustment, is not sensitive to imbalance caused by mechanical and thermal disturbances, and is high in reliability. Compared with the prior art, the cat eye laser has the advantages that wavelength sensitivity, external cavity feedback, frequency noise and vibration sensitivity are reduced, and the cat eye laser is stable, simple in structure, low in cost and high in performance, has frequency stability and narrower line width, meets harsh vibration conditions such as transportation and rocket launching, and is suitable for working environments such as space and ground.

The application relates to the technical field of micro-grid energy management, and discloses a micro-grid dynamic coordination control method for distributed energy. The method acquires a data set of multiple monitoring nodes of a micro-grid in a historical operation interval; performs multi-resolution fluctuation analysis on an energy output data set, an energy demand data set and a system frequency data set to generate an output fluctuation index, a demand fluctuation index and a frequency fluctuation index; takes the fluctuation index as a guide variable, adopts a group optimization algorithm to explore in a micro-grid control parameter space, and locates an optimal control interval; periodically adjusts distributed power generation units and load units in the micro-grid according to the optimal control interval, generates a regulation and control instruction set and executes the regulation and control instruction set to achieve dynamic coordination control. The application realizes accurate interval positioning and efficient coordinated operation of micro-grid control, and effectively improves the stability and regulation and control efficiency of a distributed energy system.

The invention belongs to the field of micro-grid control, and discloses a distributed direct current micro-grid secondary control method based on preset time, which comprises the following steps: acquiring a node operation original sequence in a periodic acquisition and time sequence storage mode, analyzing a state feature vector and constructing a node state set; analyzing to obtain a primary droop feature set and a primary operation deviation set; constructing a time constraint error evolution path and determining a preset time error sequence; based on the preset time error sequence and in combination with a neighborhood communication mechanism, generating a distributed secondary regulation quantity; and generating a secondary control instruction based on the distributed secondary regulation quantity in combination with sequence updating, saturation limitation and a soft start mechanism. Through a distributed sequential control means based on predetermined voltage recovery and frequency coordination, the frequency consistency of a plurality of micro-grid systems can be maintained, and significant frequency fluctuation and drift caused by load fluctuation or power supply input abrupt change can be effectively avoided.

The invention relates to the field of hydrological monitoring technology, and in particular to a hydrological sequence data anomaly detection method based on cloud computing. The invention classifies each monitoring unit according to altitude and land use type, generates corresponding environmental characteristic parameters, takes into account the influence of building density and geographical location on hydrological data, and improves the pertinence of wetland carbon fixation and sink monitoring and regulation data analysis and processing. The invention combines remote sensing technology and sensor groups with geographic information system technology to obtain preliminary data from each monitoring unit, and solves the problems of difficulty in speed measurement and sand locating and poor accuracy in traditional monitoring methods when monitoring large floods. Through cloud computing and server load analysis, virtual machine scheduling and load balancing, resources are dynamically allocated according to business needs, and computing tasks are allocated to multiple servers for processing, so as to avoid overloading of a single server, reduce idle computing power and waste, and improve overall resource utilization.

The application relates to the technical field of electric energy metering, and discloses an electric energy metering box and a complex impedance line loss distribution method thereof. The method comprises the following steps: acquiring main voltage data and main current data of a main metering point on a public line, and acquiring branch current data of each power supply branch circuit; calculating the static complex impedance of the public line, correcting the resistance component in the static complex impedance based on temperature data to obtain the dynamic complex impedance; analyzing and identifying the fundamental wave component and the harmonic component in the main current data, calculating the fundamental wave transmission loss and the harmonic transmission loss of the public line; calculating the fundamental wave current proportion and the harmonic current proportion in the branch current data of each power supply branch line, distributing the fundamental wave transmission loss and the harmonic transmission loss to each power supply branch circuit to obtain the distribution line loss of each branch circuit, and generating line loss distribution accounting data for electric energy calculation based on the distribution line loss. The application can accurately calculate the frequency distribution of the public line loss.

The invention relates to the technical field of nano material preparation, and discloses a high-dispersion zinc oxide preparation method based on high-speed shearing, which comprises the following steps: mixing 4.1829-32.7715 g of a zinc source precursor, 100 m l of an organic solvent and 0-1 m l of laboratory self-made ultrapure water, and carrying out high-speed shearing at 50-70 DEG C for 5-30 minutes; maintaining the temperature and shearing, quickly adding 10-50ml of alkali liquor, and reacting for 5-30 minutes; maintaining the temperature and shearing, quickly adding 2-20m l of laboratory self-made ultrapure water, and reacting for 5-30 minutes; and standing, centrifugally washing and drying the product. According to the preparation method disclosed by the invention, micro-mixing is enhanced through full-process high-strength shearing, explosive nucleation is induced, soft agglomeration among particles can be destroyed by continuous shearing force, and particle growth is inhibited, so that zinc oxide with small particle size and high dispersity is prepared.

The invention belongs to the technical field of power supply dispatching, and particularly relates to an intelligent regulation and control method for UPS centralized power supply for an underground alternating current charging pile, which comprises the following steps: acquiring vehicle charge state and travel end point information, and calculating theoretical residual electric quantity; candidate charging parking spaces are screened along the driving path, the UPS releasable power and the load rate are obtained, and environment data, the bus voltage distortion rate and the load level are collected; calculating the charging duration and the charging quantity, screening the charging piles which meet the constraint conditions and are safe in environment, and determining a target charging pile; performing charging power prediction in combination with the input power of a vehicle charger, determining an inversion module scheduling strategy and bus parameters according to the available capacity and redundancy capacity of the UPS, and forming a pre-scheduling scheme; when the vehicle approaches, the inversion module is started, parallel operation synchronization is completed, and a pre-output power supply state is formed; after the vehicle is connected, BMS feedback is obtained and matched with the preset scheme for judgment, charging is executed when conditions are met, otherwise, the charging is executed after adjustment, and therefore the power supply stability and the charging efficiency are improved.

The invention belongs to the technical field of distributed optical fiber sensing, and discloses a Brillouin dynamic grating reflection spectrum measuring device based on spectrum demodulation, which comprises a pump light source and a tunable laser, the pump light source is connected with the optical fiber coupler, a first output port and a second output port of the optical fiber coupler are respectively connected with input ports of the single side band modulator and the second polarizer, and an output port of the single side band modulator is connected with one end of the polarization maintaining optical fiber through the first polarizer; the output port of the second polarizer is connected with the first input port of the polarization beam splitter; an output port of the tunable laser is connected with a second input port of the polarization beam splitter through the third polarizer and the optical circulator, and a combined beam output port of the polarization beam splitter is connected with the other end of the polarization maintaining optical fiber; and a reflection port of the optical circulator is connected with an input port of the spectrograph. According to the invention, rapid, high-precision and low-cost measurement of the BDG reflectance spectrum is realized, and the method is especially suitable for dynamic distributed optical fiber sensing.

The invention relates to the technical field of signal processing, and provides a compound wave control method and device for pelvic floor muscle recovery, equipment and a storage medium. The complex wave control method for pelvic floor muscle recovery comprises the following steps: acquiring reference time of each waveform component, and analyzing the reference time by utilizing a component time alignment rule; respectively updating the reference time of each waveform component based on the analysis result of the reference time; acquiring a reference frequency of each waveform component, analyzing the reference frequency and adjusting the frequency of each waveform component; and generating and outputting a synchronous complex wave according to the updated reference time of each waveform component and each adjusted frequency. Reference time updating is performed on each waveform component based on a time alignment rule, and each frequency is adjusted based on a reference frequency, so that a multi-component combined waveform can be ensured to be synchronized in time and frequency, and the phenomenon of time offset or frequency mismatch of the multi-component combined waveform is avoided.

Embodiments of the present application provide a power transmission control method and device, electronic equipment and storage medium, when the micro-grid is connected to the grid, first, periodically obtain the power output value and power absorption value of the energy storage device; then input multiple power output values and multiple power absorption values into a fitting model for processing to obtain power output fitting values and power absorption fitting values; the fitting model is constructed based on the ridge regression method; finally, according to the power output fitting value and the power absorption fitting value, it is judged whether the power transmission process of the energy storage device is smooth; if the power transmission process is not smooth, adjust the transmission power of the energy storage device, thereby avoiding the problem that the system is unstable and the power quality is affected due to the intermittency and randomness of renewable energy generation, the random switching of load and the process of micro-source grid connection, which is conducive to avoiding voltage and frequency fluctuations and ensuring stable operation of the system.

A method, system, product, and medium for coordinated control of distributed power sources are disclosed. The method includes: real-time detection of the power output decline rate of photovoltaic power plants and wind turbines, current grid load data, power demand, and the remaining capacity and discharge power of energy storage batteries; under high-risk conditions, calculating the real-time load characteristics of each load and prioritizing all loads; isolating non-critical loads ranked in the priority order within a preset low percentage range from the main grid and issuing isolation notifications to their load sides; when insufficient power is detected, injecting electrical energy into the grid by controlling the power supply or discharge status of controllable loads; calculating the current power gap, and controlling the start-up of inactive generator units when the power gap exceeds a preset threshold. Implementing the technical solution provided in this application improves the dynamic response capability of the power grid under distributed power fluctuations and load surges.

The invention discloses a current sampling delay compensation method, device, equipment and medium, and the method comprises the steps: controlling a grid-connected converter to output a current according to an initial current reference signal, and carrying out the sampling of the output current of the grid-connected converter, and obtaining a current sampling signal; performing integral operation on the current sampling signal and the initial current reference signal to obtain a phase difference between the initial current sampling signal and the current reference signal; performing compensation adjustment on the initial current reference signal according to the phase difference to obtain a target current reference signal; and controlling the grid-connected converter to output current according to the target current reference signal. According to the invention, the current sampling delay can be effectively compensated, and the performance of the grid-connected inverter is improved.

The invention discloses a frequency hopping parameter tuning optimization method for a frequency hopping filter, and relates to the technical field of filters, and the method comprises the steps: S1, respectively recording all frequency hopping and frequency leakage of a frequency hopping implementation strategy as a first sequence point and a second sequence point on a time axis; s2, screening out the second sequence points of which the leakage parameter values reach a reference threshold value, marking the second sequence points as interference sequence points, and marking the first sequence points closest to the interference sequence points as modulation sequence points; s3, performing gradual transition correction on frequency hopping conversion between each modulation sequence point and the adjacent first sequence point by using an exponential gradual transition method; and S4, updating the corrected first sequence point to the frequency hopping implementation strategy. By setting the reference threshold value to screen the leakage points and dynamically correcting the modulation sequence points and the frequency hopping parameters, the method has the beneficial effects of remarkably improving the frequency hopping working stability and low interference performance of the frequency hopping filter.

The application provides a micro-grid grid-connected and off-grid control system, through constructing a gated loop unit timing prediction model, accurately predicting net load and power distribution network demand in multiple time periods in the future, and simultaneously minimizing power purchase and sale cost, line loss and power supply power shortage by using an improved NSGA-II multi-objective optimization algorithm, so that the economic efficiency and reliability are cooperatively optimized; a hierarchical architecture combining a regional coordination control layer and a micro-grid local control layer is used, so that the global optimization and dynamic response performance are considered; N-1 safety check and virtual synchronous machine pre-synchronization control are introduced, so that the problems of voltage out-of-limit and frequency instability caused by grid-connected and off-grid operation are effectively avoided; through a digital twin three-dimensional dynamic display module, power flow and switch state are directly presented, so that the situation awareness ability of operation and maintenance personnel to complex micro-grid groups is significantly improved; meanwhile, an incremental learning mechanism is used to continuously update the prediction model, so that the system can adapt to long-term changes of load and power generation.

The utility model discloses a self-priming pump noise reduction platform which comprises a pump body, a motor, a buffer plate and an adaptive platform, the pump body and the motor are fixedly installed on the upper portion of the buffer plate, and the adaptive platform is installed on the lower portion of the buffer plate and fixed through screws. The adaptive platform comprises a base, a first supporting leg, a second supporting leg, a third supporting leg, a connecting plate, a telescopic spring rod, an air damping rod and a supporting plate, the first supporting leg and the second supporting leg are fixedly installed on the base, one end of the connecting plate is slidably and rotatably connected with the second supporting leg, and the other end of the connecting plate is slidably connected with the supporting plate; one end of the air damping rod is slidably mounted on the second supporting leg, the other end of the air damping rod is slidably mounted on the third supporting leg, the adaptive platform is used for buffering, and during starting, through buffering of the adaptive platform, collision between the pump body and the platform is greatly weakened, noise is reduced, and the service life of the air damping rod is prolonged. And meanwhile, the device can run more quickly and stably.