1168results about "Frequency measurement arrangement" patented technology

The invention provides a power grid multi-agent large model safety evaluation index calculation method, and relates to the technical field of intelligent control. The method comprises the following steps: acquiring a voltage change rate and a frequency change rate, dividing four stages according to disturbance starting and extreme points, pairing curve trends, judging delay and synchronization characteristics, extracting a continuous change structure, and generating a disturbance subsection evolution structure; according to the method, through staged analysis of node voltage and frequency change trends and combination of trend consistency judgment and abnormal segment identification, dynamic structure reconstruction and trend mapping of a disturbance process are realized, and coherence and precision of index response state identification are improved through trend boundary collection and frequency classification; cooperative characteristic identification is enhanced through the coupling direction and delay analysis of inter-node multi-parameter change, the node adjustment priority is defined through regulation and control response sorting, an adjustment path under multi-dimensional linkage is constructed, and the refined management and control capacity of disturbance response and the pertinence of control decision are improved.

The invention provides a multi-band radio frequency power amplifier dynamic range adaptive test method and a system thereof. The method comprises the following steps: acquiring an output signal frequency spectrum of a tested radio frequency power amplifier, extracting characteristic frequency points including a center frequency and a bandwidth, matching the characteristic frequency points with a preset frequency band database, and automatically loading a test scheme of a corresponding frequency band. According to the method, the frequency bands are automatically matched through spectrum sensing, the test scheme is loaded, the multi-frequency-band characteristics can be rapidly adapted without manual parameter configuration, index missing test is avoided, and the switching efficiency is improved; dynamically optimizing test parameters by using a genetic algorithm, and accurately capturing a nonlinear distortion critical point while balancing coverage and efficiency; by combining multi-dimensional signal analysis and a deep learning model, the problem of missing detection of traditional single-domain analysis is solved, and the abnormal signal recognition capability is remarkably enhanced; through linear model correction, impedance dynamic matching and index threshold iteration, full automation and high precision of the test are realized, the environmental interference influence is effectively reduced, and a self-adaptive test system is constructed.

The invention discloses a power grid visual diagnosis system based on multi-source data fusion, and relates to the field of power grid diagnosis systems. The system comprises an information acquisition module, an electrical fault alarm module, a non-electrical quantity fault alarm module, a fault discrimination module, a communication module and a fault recording module. Firstly, information of a power grid is collected through the information collection module, then the information is transmitted to the electrical fault alarm module and the non-electrical fault alarm module for monitoring, corresponding actions are made when abnormity occurs, then the information is transmitted to the fault judgment module, input information is analyzed, and the fault type is obtained; meanwhile, the fault recording module records and broadcasts the power grid; the communication module collects information of other modules in the system and exchanges information with the monitoring system. According to the method, the abnormal information of the power grid is monitored and alarmed in combination with the multi-source data, and the fault type is judged through the data model, so that the omnibearing monitoring of the power grid is realized, and data support is provided for a subsequent maintenance plan.

A broadband measurement method and apparatus for a power system, and a computer device, which relate to the technical field of broadband measurement. The method comprises: acquiring a target electrical signal; on the basis of a local mean decomposition algorithm, decomposing in a time domain the target electrical signal into a plurality of signal components having a single frequency; determining the instantaneous frequency of each signal component; on the basis of the instantaneous frequencies, determining a corresponding time-frequency transformation algorithm and a corresponding time-frequency transformation parameter; and on the basis of the corresponding time-frequency transformation parameter, using the corresponding time-frequency transformation algorithm to perform time-frequency transformation on each signal component, so as to obtain a broadband spectrum that comprises frequency-domain information corresponding to each signal component. The method is applicable to spectrum analysis performed on a voltage / current signal that includes a plurality of signal components, the calculation is quickly and precisely performed, the broadband measurement requirements of a new power system can be met, and a strong support is provided for constructing a wide-frequency-oscillation wide-area monitoring system for the power system.

The invention relates to an impedance measurement method and system. The method comprises the following steps: acquiring grid-connected point voltage, measurement frequency, disturbance amplitude and nth inverter grid-connected current of the multi-inverter grid-connected system; inputting the grid-connected point voltage into an improved phase-locked loop in a fundamental wave and disturbance control unit to generate a power grid frequency and a power grid phase; inputting the power grid phase and the nth inverter grid-connected current into the current control loop to generate a fundamental current control instruction; inputting the measurement frequency, the disturbance amplitude and the power grid frequency into the disturbance control ring to generate a disturbance instruction; inputting the disturbance instruction and the fundamental current control instruction into the modulation ring, generating a control driving signal according to a modulation strategy of an inverter, and controlling each inverter switch; and obtaining the controlled grid-connected point voltage through an impedance calculation unit, and generating the impedance of the inverter to be tested and the impedance of the power grid. By adopting the method, disturbance can be injected efficiently at low cost so as to measure impedance.

The invention relates to the related technical field of distribution transformer insulation aging, in particular to a frequency domain diagnosis method, system and device for distribution transformer insulation aging and a medium, and the method comprises the steps: carrying out the frequency response test of a to-be-tested transformer, and obtaining a first frequency response curve; performing a frequency response simulation test on a transformer equivalent circuit model pre-constructed based on the to-be-tested transformer to obtain a second frequency response curve; constructing a target function based on the deviation of the first frequency response curve and the second frequency response curve; taking element parameters in the equivalent circuit model of the transformer as position vectors, taking the objective function as a fitness function, and adopting a multi-objective particle swarm algorithm to solve the element parameters to obtain optimal values of the element parameters; respectively comparing the optimal values of the element parameters with corresponding normal values to obtain insulation aging degrees; according to the method, the insulation aging degree can be obtained by comparing the element parameters obtained through optimization with the normal unaged element parameters.

The invention relates to the technical field of electrical parameter testing, in particular to a high-low voltage frequency converter testing system which comprises a sampling point calibration module, a frequency cross-grade identification module, a current response re-sequencing module, a dynamic interference blocking module and an operation parameter output module. According to the method, the amplitude of the voltage sampling point is mapped into the trigonometric function curve, the waveform trend is deduced in combination with the amplitude change angle, a time delay calibration mechanism based on periodic trend identification is established, and the sampling point time sequence precision in different gear switching scenes can be effectively adapted. According to a combined judgment mode of the current rise rate direction and the frequency jump amplitude, a cross-cycle dynamic judgment path is constructed, a frequency jump index can be identified from a non-stable operation state, and the perception capability of a non-linear operation behavior is improved. A current response sorting reconstruction process is introduced, and the sorting matching capability of inconsistent response sequences is enhanced through cross analysis of frequency gears, current response directions and load states.

The invention provides a power distribution network abnormal state sensing method and system based on data processing, and relates to the technical field of data processing, and the method comprises the steps: obtaining a target function, and setting a differential evolution parameter; the differential evolution parameters comprise population size, iteration times, variation factors and crossover probability; the configuration of differential evolution parameters is iteratively optimized, various operation data are preprocessed, abnormal value and noise removal and normalization processing are included, and processed data are obtained; and extracting characteristic indexes reflecting the running state of the power distribution network from the processed data, wherein the characteristic indexes comprise statistical characteristics, frequency spectrum characteristics and time frequency characteristics of voltage and current. According to the invention, through real-time data acquisition, feature extraction, state evaluation and abnormity identification and positioning, comprehensive monitoring and timely early warning of the operation state of the power distribution network are realized, and the safety and stability of the power distribution network are effectively improved.

The invention relates to an AC-DC integrated grounding fault positioning method and system, and the method comprises the steps: collecting the potential change data of a DC power supply system and the frequency characteristic data of an AC power supply system, and determining the electrical signal characteristics of stray current corrosion; decomposing the electric signal by using wavelet transform, and extracting direct-current and alternating-current components; determining a fault type according to the component amplitude; analyzing the potential gradient and the stray current flow direction in combination with a line topological structure, and determining the position of a fault point; measuring resistance to determine a grounding loop, and analyzing the correlation between corrosion distribution and electrical parameter characteristics; evaluating the influence of corrosion on the grounding path in combination with the material resistivity; according to the method, faults can be accurately recognized, fault points can be accurately positioned, the corrosion degree and the influence of the corrosion degree on the system can be evaluated, and effective support is provided for safe operation and maintenance of a subway power supply system.

The invention provides a power grid frequency detection method, system and device and a medium, and the method comprises the steps: carrying out the narrowband signal decomposition of an obtained input voltage signal of a power grid through a null-space tracking algorithm, and obtaining a fundamental main mode component of the input voltage signal; performing low-pass processing on the fundamental wave main mode component to obtain a fundamental wave signal of the fundamental wave main mode component; performing discrete Fourier transform on the fundamental wave signal to obtain phase information of the fundamental wave signal; according to the phase information of the fundamental wave signal, calculating phase deviation information of the fundamental wave signal in pre-selected adjacent cyclic waves to obtain frequency estimation information of the power grid; according to the invention, narrow-band decomposition is carried out on an input voltage signal through a null-space tracking algorithm, so that a fundamental main mode can be accurately extracted; and phase deviation information can be determined based on discrete Fourier transform, so that when the interference frequency of the power grid is close to the fundamental frequency, high separation precision can be kept, and the accuracy of power grid frequency estimation can be improved.

The invention relates to a power grid anomaly detection method and device, computer equipment, a computer readable storage medium and a computer program product. The method comprises the following steps: acquiring real-time power data of a target power system; the target power system comprises a plurality of power areas; according to the real-time electric power data, calculating an abnormal probability value of the target electric power system and an abnormal weight of each electric power region; when the abnormal probability value is greater than a preset threshold value, calculating a failure risk value of each power region in combination with the abnormal probability value and the abnormal weight of each power region; and determining the influence of the power region on the target power system according to the failure risk value. By adopting the method, the abnormal state can be accurately detected.

The invention relates to a magnetic core loss prediction method and device for a magnetic element, and the method comprises the steps: obtaining historical data sets of different magnetic core materials, thereby considering the influence of the temperature on the magnetic core loss, carrying out the temperature correction of a preset SteinMazz equation according to the historical data sets, obtaining a target SteinMazz equation, and carrying out the prediction of the magnetic core loss of the magnetic element. Therefore, loss prediction can be carried out on the magnetic core material in the historical data set through the target Steinmaz equation, and an updated data set of the prediction value of the temperature factor is obtained. Furthermore, the influence of the magnetic flux density data and the frequency on the magnetic core loss can be considered, the updated data set is merged according to the magnetic core material, the magnetic flux density data and the frequency, a merged data set is obtained, and then the preset prediction model can be trained through the merged data set. The training of the preset prediction model on the magnetic flux density data and frequency is added, so that the predicted magnetic core loss of the target prediction model on the magnetic element better conforms to the actual situation.

The invention discloses a multi-task parallel test method for a multi-station FCT test system, and relates to the technical field of parallel tests.The method comprises the steps that a plurality of target PCBA products are loaded to corresponding stations on a needle bed respectively, and starting signals are obtained; scanning the target PCBA product to obtain a plurality of pieces of production work order information and a plurality of test programs; executing a plurality of test programs to obtain a plurality of test signal sets; carrying out test qualification authentication; load working signals are collected; and judging whether the plurality of load working signal feature sets meet a preset requirement or not, and displaying a qualified station of the product test through a machine indicator lamp. The technical problems that PCBA product testing efficiency is low, accuracy is difficult to guarantee and product quality control is not comprehensive in the prior art are solved, and the technical effects that the efficient process of conducting product testing at multiple stations at the same time is achieved, the testing efficiency and accuracy are improved, and the product quality is effectively guaranteed are achieved.

The invention discloses a frequency measurement circuit and a frequency measurement method, belongs to the technical field of frequency measurement, and mainly solves the problems that the existing frequency measurement is large in frequency error, low in frequency measurement speed and narrow in frequency measurement bandwidth, and cannot meet the requirements of radar communication. The frequency measurement circuit comprises an FPGA control module, a reference clock circuit connected with the FPGA control module, a DDS frequency output circuit, a phase discrimination frequency control circuit, a frequency mixer connected with the phase discrimination frequency control circuit, and a radio frequency input circuit connected with the frequency mixer. According to the frequency measurement technology, the DDS output frequency is directly collected according to the characteristic that the FPGA collects the low frequency, the DDS output frequency serves as the phase discriminator phase discrimination frequency, frequency measurement is conducted in a phase locking mode, and the frequency measurement precision is high; the phase discriminator is set to have a fixed frequency dividing ratio, the phase discriminator is configured with a fixed register, a DDS frequency sweeping mode is adopted, and the frequency measurement time is short by changing the phase discrimination frequency of the phase discriminator to the output frequency of the phase-locked loop; and the frequency measurement bandwidth is increased by using a radio frequency input frequency division mode.

The invention particularly relates to a miniaturized broadband instantaneous frequency measurement receiver and a corresponding data processing method. The miniaturized broadband instantaneous frequency measurement receiver comprises a signal input port used for receiving an original radio frequency signal; the amplifying and filtering module is used for amplifying and filtering the original radio frequency signal and then outputting a first radio frequency signal; the first power divider is used for splitting the first radio frequency signal and outputting the first radio frequency signal to the multi-channel power division phase discrimination assembly; the multi-channel power division and phase discrimination assembly comprises a plurality of power division and phase discrimination modules and is used for carrying out instantaneous measurement on the signal frequency of the first radio frequency signal and outputting multi-channel video signals; the frequency measurement coding module is used for performing frequency measurement processing on the video signal and outputting a frequency code; wherein the signal input port is connected with the amplification filtering module and the power division phase discrimination module through microstrip lines; the power division phase discrimination module is connected with the frequency measurement coding module through a glass insulator. The size, the volume and the weight of the device all meet the requirement for miniaturization.

The embodiment of the invention discloses an off-line monitoring method and device for the state of a transformer winding, equipment and a storage medium. The method comprises the steps of obtaining off-line frequency response test data, at least comprising a smooth frequency response curve, of a transformer; obtaining a resonance frequency and a resonance peak value according to the smooth frequency response curve, and calculating a first transformer capacity, a first no-load loss and a first short-circuit loss under the resonance frequency; utilizing the first transformer capacity, the first no-load loss, the first short-circuit loss and a preset multi-dimensional inferior fusion model to obtain a first comprehensive index used for reflecting the performance change of the transformer winding under the resonant frequency; and determining the current winding state of the transformer according to the first comprehensive index and a predetermined second comprehensive index. By means of the mode, higher sensitivity and reliability can be displayed in diagnosis of winding states such as winding deformation faults, and the method has important significance in prolonging the service life of a transformer and improving the operation reliability and economical efficiency of a power grid.

The invention discloses an electric power system operation state analysis and evaluation method and device, and the method comprises the steps: carrying out the line node division of an electric power system, combining the load time division of a power supply region, and further discriminating the load change based on the load time; meanwhile, fluctuation nodes are identified by using the operation states of the line nodes and the power grid operation fluctuation degree is analyzed, so that the operation stability of the power system is evaluated. According to the method, limitation of traditional overall evaluation is broken through, fine transformation from macroscopic to microscopic and from static analysis to dynamic monitoring is achieved, the actual operation condition of the power system can be comprehensively and accurately reflected, and clear direction guidance is provided for formulating a targeted regulation and control strategy. In addition, the possibility that abnormal operation of the power system is covered can be effectively reduced, and potential risks are reduced to the maximum extent.

The invention discloses a bus voltage multi-dimensional real-time monitoring and analyzing method, system, equipment and medium, and belongs to the technical field of power system monitoring and fault prediction.The method comprises the steps that high-frequency synchronous sampling is conducted on bus voltage signals, discrete time sequence voltage signals are obtained and preprocessed, preprocessed voltage signals are obtained, and the discrete time sequence voltage signals are obtained; the method comprises the following steps: synchronously extracting multi-dimensional characteristic parameters of voltage, obtaining a characteristic parameter set, calculating a health degree index comprehensively representing a voltage state by utilizing a dynamic weighted fusion algorithm based on the characteristic parameter set, calculating an abnormal degree of a current value according to a historical data sequence of the health degree index, and performing fault grade judgment according to the abnormal degree. And performing trend extrapolation based on the health degree index and the historical data sequence of the key parameters in the characteristic parameter set, and generating predictive maintenance suggestions. According to the method, the crossing from passive alarm to predictive maintenance is realized, and the intelligent level and the operation and maintenance reliability of state monitoring of the power system are remarkably improved.

The present application relates to a device and method for surveying a power line-buried path, wherein the device includes a transmitter which selects a balanced / unbalanced voltage to output input and rectified output power as a current pulse in the form of an unmodulated pulse or a frequency-modulated signal when a current pulse signal is transmitted to a conductor (power line) of a public distribution network, and a receiver in which a plurality of magnetic field sensors inductively couple the pulse or the frequency-modulated signal within a near magnetic field distance to obtain a difference value in each direction to obtain a depth.

The invention discloses an AC synchronous electric energy metering method and system based on a GPS Beidou satellite clock, and relates to the technical field of electric energy metering, and the method comprises the steps: receiving a satellite signal, and analyzing the quality score of the satellite signal; according to the quality score of the satellite signal and the time reference data, generating a high-precision unified time reference; performing regional error correction on the high-precision unified time reference based on the high-precision unified time reference in combination with differential time service information of a ground base station to generate a standard time reference; acquiring actual frequency data of a power grid in real time by using power grid frequency detection equipment, calculating power grid frequency deviation, and generating a power grid frequency deviation correction factor; and dynamically adjusting the standard time reference based on the power grid frequency deviation correction factor, and performing accurate time sequence synchronization on the electric energy metering data in the alternating current power grid according to the adjusted standard time reference. The dynamic adaptability, the precision and the reliability of the electric energy metering method are remarkably improved.

The invention belongs to the technical field of energy storage, and particularly relates to a portable energy storage power supply offline grid-connected detection and expansion system, which comprises a power grid access module, a multi-rate power grid state detection module, a central control module, a self-adaptive isolation module, an energy management module, an expansion battery interface module and a man-machine interaction and communication module, the multi-rate power grid state detection module is used for providing ultra-fast response to power grid transient abnormity and accurate monitoring of power grid steady-state parameters at the same time, and comprises a transient abnormity rapid detection sub-module and a comprehensive parameter accurate detection sub-module. And the self-adaptive isolation module is directly associated with the transient abnormity rapid detection sub-module. Through a hardware acceleration detection mechanism of the transient abnormity rapid detection sub-module and a high-speed solid-state relay array of the self-adaptive isolation module, the system can respond to transient overvoltage, rapid frequency deviation or zero crossing abnormity and complete isolation action.

The invention discloses a new energy equipment sequence impedance multi-level frequency domain identification method, and relates to the field of power electronic equipment parameter and model frequency domain identification. Complex vector fitting is carried out on frequency domain response data of impedance measurement, an analytical model or an equivalent zero-pole model of power electronic equipment is obtained, and a basis is provided for grid-connected resonance stability analysis and impedance remodeling; comprising the following steps: S1, carrying out sequence impedance frequency scanning of single harmonic disturbance injection to obtain impedance frequency domain response data; s2, performing complex vector fitting to obtain a pole-residue type port frequency domain model; s3, evaluating'grey / black box 'characteristics according to the transparency of the control architecture information; s4, deducing a theoretical sequence impedance model of the grey box equipment, and identifying parameters based on a pole-residue expression; deducing an equivalent zero pole model for the black box equipment or the new energy cluster; compared with traditional qualitative analysis, accurate quantitative analysis and impedance remodeling are achieved, and analysis accuracy and engineering applicability are improved.

The invention relates to a multi-source micro-grid inertial support detection method and device and a storage medium. The method comprises the steps that S1, a discretized original voltage sequential sequence and a discretized original current sequential sequence are collected; s2, respectively extracting a first voltage sequence and a first current sequence corresponding to a measurement moment based on the original voltage sequential sequence and the original current sequential sequence; s3, obtaining a measurement frequency and a voltage and current phase difference based on the first voltage sequence and the first current sequence, and obtaining an active power based on the voltage and current phase difference; s4, obtaining a reference frequency and a reference power based on the measurement frequencies and the active powers at the plurality of measurement moments; and S5, based on the reference frequency and the reference power, combining the measurement frequency and the active power at the measurement moment to obtain the equivalent inertia. Compared with the prior art, the method has the advantages that the measurement accuracy of the equivalent inertia in the multi-source micro-grid environment is improved, and the like.

The embodiment of the invention discloses a transformer winding state diagnosis method using parameter transformation and related equipment, and the method comprises the steps: injecting high-frequency voltage signals with different frequencies into a transformer through a capacitor voltage transformer, and obtaining a response voltage signal outputted by the transformer; drawing a frequency response curve between the response voltage signal and the frequency according to the high-frequency voltage signal and the response voltage signal; according to the frequency response curve, obtaining a plurality of resonant frequency points between the capacitor voltage transformer and the transformer, and a resonant voltage value corresponding to each resonant frequency point; and the winding state of the transformer is diagnosed according to the resonant frequency point and the resonant voltage value, whether the winding of the online operation transformer has a fault can be identified, and the transformer does not need to be changed into an offline state, so that real-time operation state information of the transformer is provided, and the requirements of a modern power grid on real-time monitoring and quick response are met.

A test and measurement device has an input port to receive a signal from a device under test (DUT), the signal having a symbol rate, one or more analog-to-digital converters (ADC) to convert the signal to waveform samples at a sampling rate, and one or more processors, when aliasing is present: up-sample a portion of the signal having aliased samples to produce up-sampled samples; use the up-sampled samples to produce a real-time waveform; perform clock recovery on the real-time waveform to produce a recovered clock; and resample the aliased samples to produce a non-aliased waveform.

The invention provides a battery charging and discharging pulse frequency detection method and system, and the method comprises the steps: dividing a pulse current signal of a target battery during charging and discharging into a plurality of pulse signal segments, and determining the static deviation of the current of the target battery during charging and discharging based on the local current characteristics of each pulse signal segment; determining the time domain positioning error of the time interval through the static offset and the pulse width of the pulse current signal; monitoring the surface temperature of the target battery during charging and discharging, and determining the disturbance characteristics of the temperature of the target battery during charging and discharging to the current according to all the monitored temperatures and the pulse current signal; and performing pulse identification on the pulse current signal according to all the time domain positioning errors and disturbance characteristics to obtain an effective pulse time mark sequence of the target battery during charging and discharging, and determining an effective pulse frequency of the target battery during charging and discharging based on the effective pulse time mark sequence. According to the scheme, the influence of current signal drift on pulse frequency detection in the battery charging and discharging process can be reduced.

A sensorless method for machine tool chatter detection. When the machine tool spindle is running, a spindle motor torque signal is analyzed in the time domain to determine whether a bit is currently cutting a workpiece. When not cutting, an air-cut reference signal is stored for later use. When cutting, the spindle motor torque signal, along with positioning servo motor signals, are converted to the frequency domain and filtered. Filtering steps include removal of the air-cut reference signal via spectral subtraction, removal of spindle harmonic components, removal of artificial peaks due to aliasing effects, and removal of artificial peaks due to encoder error effects. After filtering, indicator criteria are evaluated to detect chatter, including a magnitude of the filtered torque signal for servo data and a magnitude ratio of the filtered torque signal to the air-cut reference signal for spindle data. Corrective action is taken when chatter is detected.

The invention discloses a high-power and frequency-adjustable gyrotron loading test system for nuclear fusion, which relates to the technical field of nuclear fusion and comprises a 2-megawatt coaxial gyrotron with adjustable frequency of 170 / 240GHz and a loading test platform. The loading test platform comprises a gyrotron part loading system, a strong magnet system, a vacuumizing system, a power supply system, a load system, a cooling system, a monitoring and diagnosing system and a control system. The component loading system is used for precise assembly; the strong magnet system provides an adjustable strong magnetic field; the vacuumizing system maintains ultrahigh vacuum; the power supply system comprises a cathode power supply and a body power supply, and the body power supply is used as a high-voltage amplifier to realize 10kHz rapid power modulation; the cooling system provides independent active cooling; the load system simulates a real load; comprehensive detection of the monitoring and diagnosis system; and the control system realizes coordinated control and rapid protection. According to the invention, a complete solution is provided for development, test, operation and maintenance of the 2-megawatt-level and frequency-adjustable gyrotron.

The invention discloses a broadband oscillation parameter identification method based on Bayesian reasoning. The method comprises the following steps: acquiring PMU oscillation recording data by connecting a WAMS database interface; setting a decomposition window length, initializing VMD parameters, and carrying out modal decomposition to obtain each oscillation mode; bayesian reasoning is carried out on the oscillation modes, and posterior parameter distribution and a mean value of broadband oscillation mode parameters (including amplitude, frequency and damping) are obtained through MCMC solving. The invention provides a broadband oscillation parameter identification method based on Bayesian reasoning, and the method system can judge and identify the modal components of complex multimode aliasing broadband oscillation signals, and accurately infer the modal information (including amplitude, frequency and damping) of the broadband oscillation data of a power grid.

The invention provides an identification method for measuring fundamental wave pseudo oscillation by a low-sampling-rate measurement and control device, which belongs to the field of electrical measurement and comprises the following steps of: calculating an impedance deviation coefficient of a capacitor fundamental wave impedance value relative to a capacitor actual impedance value; searching effective maximum values and minimum values of the impedance deviation coefficients, taking the effective maximum values of the adjacent impedance deviation coefficients as analysis intervals, and calculating corresponding oscillation frequencies according to time differences of the analysis intervals; the maximum value and the minimum value threshold value of the impedance deviation coefficient corresponding to the oscillation frequency of each analysis interval are calculated, and the authenticity of measurement oscillation of the measurement and control device is identified according to the relation between the effective maximum value and the minimum value of the impedance deviation coefficient and the corresponding threshold value; the invention further provides a fundamental wave pseudo oscillation identification system measured by the low-sampling-rate measurement and control device. The risk of misjudgment caused by measurement pseudo oscillation of a low-sampling-rate measurement and control device due to high-frequency harmonic aliasing can be solved.