1681results about "Measurement using digital techniques" patented technology

The invention relates to the technical field of state monitoring, in particular to an intelligent fuse comprising a monitoring module, and the fuse comprises a data analysis module, a steady state recognition module, a temperature analysis module, a coupling calculation module and a state calibration module. According to the method, time consistency verification and corresponding matching are carried out on temperature and current sampling, abnormal interference is eliminated in a stable current-carrying interval, a continuous sequence is formed, and a definite time relation is established between thermal response and a current-carrying state by combining analysis of accumulated deviation and change turning of the temperature along with time; the abnormal trend of slow evolution is amplified and presented, correction is carried out according to the direction consistency of multi-segment time difference change, progressive features before fusing are recognized in advance, early warning continuity and operation decision reliability are improved, misjudgment is reduced, continuous updating of state evaluation is supported, and stability of a control closed loop is improved.

According to the cable multi-parameter fusion sensor and method, in the cable multi-parameter fusion sensor, a shielding shell is of an open-close type metal annular structure; the zero-flux sensor module is arranged on the inner layer of the shielding shell so as to detect a cable sheath ring current signal; the pulse current sensor module is arranged on the outer side of the zero-flux sensor module so as to detect a cable partial discharge pulse current signal and an overvoltage impact current signal; the magnetic shielding layer is arranged between the zero-flux sensor module and the pulse current sensor module to shield low-frequency magnetic field interference; the zero magnetic flux sensor module and the pulse current sensor module share the shielding shell to form an electromagnetic shielding structure.

The invention belongs to the technical field of power system measurement, and relates to a three-phase power parameter wireless synchronous measurement and vector analysis method and system, and the method comprises the following steps: generating and broadcasting a synchronous pulse code containing triggering phase information; generating a predicted phase angle; obtaining a comprehensive phase deviation value; performing dynamic feature separation processing on the comprehensive phase deviation value to generate a slowly-varying propagation delay feature and a transient prediction error feature; injecting the prediction error characteristics into a local phase predictor for calibration; acquiring phase voltage / current data based on the compensated sampling time, and calculating a fundamental wave effective value and a phase angle relative to a local calibration time reference; and packaging the fundamental wave effective value, the phase angle and the local timestamp into a simplified data packet and transmitting the simplified data packet to an analysis terminal. According to the method, the problems that in a traditional mode, satellite time service rejects signals in a substation indoor or underground scene, and synchronization interruption is easily caused by electromagnetic interference are solved.

The invention discloses an electric power data acquisition method and equipment based on a logarithmic amplifier and a medium, and relates to the technical field of electric power monitoring signal processing, and the method comprises the steps: collecting an original analog current signal on an electric power circuit and an analog temperature signal of an environment where the logarithmic amplifier is located, and generating a mixed observation vector; based on the mixed observation vector, calculating an estimated value of a temperature characteristic correction parameter in real time through a pre-stored temperature-parameter mapping relation, and performing logarithmic compression on the original current digital signal sequence by using the estimated value of the temperature characteristic correction parameter to obtain a compressed voltage signal subjected to temperature compensation; and performing high-speed analog-to-digital conversion on the compressed voltage signal subjected to temperature compensation to obtain a discrete digital signal sequence, and storing the discrete digital signal sequence into a priority cache region. According to the invention, the data volume is effectively compressed by using the correlation between the signals, and the transmission bandwidth and the storage demand are reduced.

The invention discloses a voltage acquisition circuit, an alternating current power supply, a voltage acquisition method, a voltage acquisition device and a medium. A far-end sampling unit; the in-phase input end of the first comparison unit is connected with the near-end sampling unit, and the inverted input end is grounded; the in-phase input end of the second comparison unit is connected with the far-end sampling unit, and the inverted input end is grounded; the input end of the XOR unit is connected with the output ends of the first comparison unit and the second comparison unit; the in-phase input end of the third comparison unit is connected with the output end of the XOR unit, the inverted input end inputs reference voltage, and the reference voltage is smaller than half of the power supply voltage; the control unit is used for judging that far-end sensing sampling is abnormal when the difference effective value of the voltages output by the near-end sampling unit and the far-end sampling unit is smaller than the preset compensation voltage and the abnormal comparison voltage output by the third comparison unit is 1. According to the invention, when the AC power supply outputs low voltage, the conditions of disconnection and reverse connection of the far-end induction sampling can be identified.

The invention relates to the technical field of power system monitoring, in particular to a power distribution terminal fault monitoring system and method. The dual-channel acquisition module is used for acquiring two analog quantities of a power distribution room and mapping the two analog quantities into a power grid environment characteristic matrix; the cyclic mapping module is used for carrying out decoupling operation and generating a noise separation feature vector; constructing a background noise dynamic reference based on the noise separation feature vector, and generating a judgment boundary threshold; performing cyclic increasing and resetting in the fault recall storage unit through a write-in pointer to form a terminal state data stream; the fault judgment module is used for comparing the amplitude of the noise separation feature vector with a judgment boundary threshold value and generating a fault locking instruction; and based on the fault locking instruction, generating a termination signal, freezing the write pointer, and extracting the partial discharge data file from the terminal state data stream. According to the method, a closed-loop monitoring system in which the environment self-adaptive reference and signal feature decoupling support each other is constructed, and a fault backtracking sample with time-space alignment and complete logic is provided.

The invention relates to the technical field of power distribution network automation, and discloses an electrical variable monitoring method for ring main unit operation, which comprises the following steps: acquiring three-phase electrical variable data in response to a condition that a load current change rate exceeds a preset micro-motion excitation threshold value; calculating a reference voltage based on the circuit state equation containing the inter-phase mutual inductance coupling term; the method comprises the following steps: constructing a rotating coordinate system taking a current vector as a reference axis, performing vector decomposition on a voltage deviation vector, separating a resistive temperature drift voltage component parallel to the reference axis, and taking a nonlinear impedance voltage component perpendicular to the reference axis as a monitoring parameter to judge a contact state. According to the method, linear resistance drift caused by conductor temperature rise is effectively decoupled, baseline interference is eliminated, weak nonlinear impedance distortion characteristics caused by mechanical contact degradation can be captured, and the recognition sensitivity and accuracy of early latent faults of the ring main unit are improved.

The invention provides an intelligent voltage monitoring system with an adaptive calibration function, and relates to the technical field of data processing. An environment monitoring module; the intelligent drift modeling module is used for training associated data based on a neural network model, learning a nonlinear drift rule under a multi-factor coupling condition and constructing a drift prediction model; the prediction calibration module is used for generating a calibration vector for uncollected original voltage data, and performing dynamic superposition calibration in a real-time sampling process to generate prediction calibration voltage data; the closed-loop self-learning module is used for extracting a deviation trend based on the periodic deviation of the predicted calibration voltage and the reference voltage, and carrying out online updating on the drift prediction model according to the deviation trend; the application output module is used for providing the predicted calibration voltage data to a control unit of the power equipment; according to the invention, the autonomy and accuracy of intelligent voltage monitoring are improved.

The invention relates to the technical field of SOC testing, and particularly discloses a high-precision voltage acquisition module for SOC testing, and the module comprises a signal acquisition module which enables a to-be-acquired voltage to enter a programmable attenuation network, obtains a voltage value of the to-be-acquired voltage, selects an attenuation module based on the voltage value of the to-be-acquired voltage, and outputs the to-be-acquired voltage in a differential signal mode; generating an equation that the differential signal changes along with time, and selecting a gain multiple of a gain module; inputting the amplified differential signal into a GIC filter for filtering, and converting the filtered differential signal into a digital signal; and the self-calibration module is used for generating calibration voltage, realizing multiple output of the calibration voltage and calculating an error coefficient gain error and an offset error. Through the GIC filter, the influence of the filter on the collected voltage is reduced, so that the influence on the DC precision of the whole module is reduced, and the precision of the whole system is improved.

The invention discloses a low-voltage distribution area topology identification method, system and device and a storage medium, and the method comprises the following steps: deploying a synchronous measurement unit in a low-voltage distribution area, and obtaining the outgoing line current phasor and voltage phasor data with a synchronous time scale of a whole network; constructing an incoming line and outgoing line current phasor set, and performing adaptive descending sorting according to amplitudes; determining that the nodes corresponding to the incoming line current phasors and the found nodes corresponding to the one or more outgoing line current phasors are in a father-son relationship, and iterating the process until all sets are empty, thereby completing the identification of the topological relationship of the power distribution side; and according to the equipment number contained in the obtained voltage phasor data, determining a meter box connected with the user electricity meters, and then clustering the user electricity meters connected to the same meter box according to the voltage phase angle to obtain the connection phase sequence of each user electricity meter. The problem of key information missing is solved from a data source, and accurate and efficient identification of topology is realized by fusing physical constraints.

The invention discloses a self-adaptive transformation ratio adjustment electric quantity metering method and device, the device comprises a high-voltage metering device and a control center, and the high-voltage metering device is composed of a voltage transformer, a current transformer and an electric energy meter. The core innovation point is that the current transformer is provided with a plurality of secondary windings, each winding is respectively connected with a relay with a multi-gang switch contact, the output end of the relay is connected with the electric energy meter, and the relay and the control center realize linkage control. The control center drives a multi-gang switch contact of the relay to be automatically switched to a secondary winding adaptive to the current load by monitoring the current state of the load in real time; factors such as temperature, humidity and the year of a home-entry power grid are introduced to correct a current measured value, and the accuracy of electric quantity metering is improved. Meanwhile, the control center records transformation ratio switching data in real time, reliable support is provided for time-of-use electricity price execution, demand side response and electric quantity tracing, and the intelligence and refinement level of electric power metering is remarkably improved.

The invention relates to the technical field of optical current transformer detection, and provides an optical current transformer real-time calibration and health diagnosis method and system, and the method comprises the steps: carrying out the harmonic analysis of an initial digital signal sequence obtained through the conversion of a continuous modulation optical signal of a target optical current transformer, and obtaining harmonic component data; physical state evaluation is carried out according to the higher harmonic component data and preset health state baseline data to generate a physical state evaluation result, nonlinear disturbance compensation is carried out according to an error control signal generated based on the higher harmonic component data, and after a linear working point is reached, nonlinear disturbance compensation is carried out; and calculating an electrical measurement value according to the output target fundamental component data, and performing comprehensive analysis according to the physical state evaluation result and the electrical measurement value to generate a diagnosis report. According to the invention, through a measurement calibration and state diagnosis mechanism based on harmonic analysis, while the electrical performance measurement precision is effectively improved, reliable quantitative diagnosis and accurate traceability of different physical faults in the equipment are realized.

The invention discloses a dynamic sliding window filtering method and device, and a medium. The method comprises the following steps: calculating and updating a sliding window length given value in real time based on a currently collected power grid frequency; comparing the obtained sliding window length given value with the current sliding window length; if the sliding window length given value is equal to the current sliding window length, the current sliding window length is kept unchanged; if the sliding window length given value is larger than the current sliding window length, the sliding window length is gradually increased according to a set mode; if the sliding window length given value is smaller than the current sliding window length, the sliding window length is gradually shortened according to a set mode. The device and the medium are both used for implementing the method. The beneficial effects of the application are that compared with a traditional fixed sliding window length, the technical scheme of the application can adaptively adjust the sliding window length according to the change of the power grid frequency, so that the data acquisition accuracy of the sliding window can be improved, and effective elimination of ripples can be realized.

The invention provides a peak prediction method and system for fault current, and the method comprises the steps: obtaining a target current change rate of a power grid when the power grid breaks down, constructing a DC component and an AC component of the fault current based on the target current change rate and a preset trapezoidal integral algorithm, and carrying out the prediction of the peak value of the fault current; when the target current change rate meets the triggering condition of the all-phase composite triggering module, controlling the analog-to-digital converter to be switched from the first sampling frequency to a second sampling frequency, and collecting at least two pieces of sampling data based on the second sampling frequency; and performing parameter fitting processing on the at least two pieces of sampling data to obtain transient model parameters of the fault current, and performing peak prediction on the fault current by using the direct-current component, the alternating-current component and the transient model parameters to obtain a peak value of the fault current. Dynamic switching of the sampling frequency is realized through the all-phase composite trigger module, and a trapezoidal integral algorithm and a parameter fitting technology are combined, so that the transient response speed is effectively improved, a trigger blind area is eliminated, and the prediction precision is improved.

The invention belongs to the technical field of gap measurement, and particularly relates to a high-temperature-resistant transparent shell type eddy current tip gap measuring device and method, and the device comprises a sensor probe module, a signal conditioning module, a data collection module and a data processing module. The sensor probe module is mounted on the outer wall of the casing; the sensor probe module comprises a permanent magnet excitation source, a soft magnet magnetic core and a receiving coil; the signal conditioning module is electrically connected with the receiving coil and is used for amplifying, filtering and integrating the weak induction signal; the data acquisition module is electrically connected with the signal conditioning module and converts an analog signal into a digital signal; the data processing module is used for processing the acquired digital signals and extracting blade tip clearance information.

The embodiment of the invention provides a real-time collection method and system for welding heat input, and the method comprises the steps: sensing the displacement movement of a welding gun or a welding wire through a diffuse reflection photoelectric switch array installed on the surface of a pipeline, and generating a corresponding pulse trigger signal; current data and voltage data of a welding loop are sensed through a Hall sensing system, and corresponding analog electric signals are generated; synchronously acquiring the pulse trigger signal and the analog electric signal through a multi-channel data acquisition device, and converting the analog electric signal into a digital signal with a timestamp; real-time welding speed data are calculated according to the time sequence of the pulse trigger signals and the preset space geometrical relation of the diffuse reflection optoelectronic switches; performing multi-stage filtering processing on the current data and the voltage data; a unified timestamp is determined, and time sequence matching is conducted on the filtered current data, the filtered voltage data and the filtered welding speed data based on the unified timestamp; and calculating to obtain a welding heat input value.

The invention discloses a direct-current transformer control method, which relates to the technical field of power electronic control and comprises the following steps of: acquiring operating parameters of a direct-current transformer in real time; the operation parameters at least comprise input side voltage, output side voltage and load current; inputting the operation parameters into a model prediction controller; in the model prediction controller, on the basis of the operation parameters and a preset system model, calculating to obtain a switching device control signal which enables a control target in a future preset time domain to be optimal; a switching device control signal is applied to a switching device of the DC transformer to regulate its output voltage or power. The method has the advantages that the dynamic response speed is increased, the system robustness is enhanced, and multi-target optimization control is realized.

The invention relates to the technical field of electrical variable measurement, in particular to a self-adaptive power quality monitoring method for a power cabinet, which comprises the following steps of: starting a low-frequency acquisition unit arranged at a monitoring node of the power cabinet, and acquiring a low-frequency coarse scanning voltage signal of the power cabinet in a current monitoring period at a preset low-frequency sampling rate; according to the method, compressed observation vectors are transmitted, sparse basis inversion calculation is executed by using an orthogonal matching pursuit algorithm, high-precision power quality time domain waveform data are reconstructed, rich high-frequency transient details are restored under the condition of low-data-volume transmission, distortion feature analysis is carried out based on reconstructed waveforms, disturbance types are identified, and a monitoring analysis report is generated and uploaded. The real-time dynamic adjustment of the sampling scale and the matrix structure along with the signal fluctuation state is realized, the optimal balance of the data compression ratio and the signal reconstruction quality is achieved, the contradiction between the storage and transmission bandwidth limitation of massive high-frequency data in a complex power grid environment is solved, and the sensitivity for transient abnormality is improved.

The invention belongs to the field of power equipment monitoring, and discloses a lightning arrester on-line monitoring system and method based on non-contact differential electric field probe self-adaptive compensation, a non-contact differential voltage probe is adopted, the sensitivity to environmental noise and interference to other-phase high-voltage buses is remarkably reduced through differential measurement, and the monitoring accuracy is improved. And the self-adaptive compensation algorithm is combined, so that the measured signal can be corrected in real time according to the on-site electromagnetic environment change, the amplitude and phase distortion can be effectively inhibited, the accuracy and reliability of the high-voltage side bus voltage acquisition can be improved, and the overall monitoring precision can be obviously improved. According to the invention, high-sensitivity and wide-dynamic-range measurement of lightning arrester current is realized by adopting the fluxgate weak current sensor, accurate detection under small signals is guaranteed, and fine analysis of harmonic components is facilitated.

The invention discloses a voltage and current synchronous measurement method for a high-voltage power supply of a fusion device, which is suitable for accurately sampling and monitoring voltage and current signals of each key node of the high-voltage power supply of the fusion device. According to the method, firstly, a resistance-capacitance voltage division technology is adopted, a front-end high-voltage attenuation network is constructed by utilizing high-precision resistors and capacitors, and stable voltage division and linear attenuation of high-voltage signals are achieved; then, electrical isolation is realized through a small-signal voltage and current transformer, and multi-channel synchronous acquisition of voltage and current signals is completed respectively. Then, the ADC module adopts two multi-channel AC sampling special electric energy metering chips to realize ten-channel synchronous acquisition of high voltage and current signals. And finally, the FPGA receives, processes and analyzes the acquired data in real time, and transmits a result to an upper computer monitoring platform. According to the method, the synchronism, the precision and the anti-interference performance of a fusion power supply high-voltage measurement system are remarkably improved, and reliable data support is provided for safe and stable operation of a fusion device.

The invention discloses a quantum double-ring cooperative current measurement device and method, and belongs to the technical field of electric measurement. The device comprises an outer ring unit used for measuring a high-frequency signal in current; the inner ring unit is used for measuring a low-frequency signal in the current; the digital signal processing unit is used for carrying out synchronous high-speed ADC sampling on the high-frequency signal measured by the outer ring unit and the low-frequency signal measured by the inner ring unit, carrying out fast Fourier transform on the sampled signal and converting the sampled signal into a frequency domain to obtain a VTMR (f) signal and a delta fNV (f) signal, and calculating the VTMR (f) signal and the delta fNV (f) signal to obtain the VTMR (f) signal and the delta fNV (f) signal. And reconstructing the full-band current waveform of the time domain. According to the invention, the measurement accuracy and reliability of the current sensor in broadband, high harmonic and strong interference scenes can be significantly improved, and the method is suitable for the fields of new energy grid connection, flexible direct current transmission, power grid protection, high-precision measurement and the like.

The invention relates to the technical field of power utilization monitoring, and discloses a power utilization safety monitoring device based on a magnetic suspension power distribution technology, and the device comprises a current detection system which obtains the working state information of a current transformer and a Hall effect sensor through a data collection module; the data analysis module performs normalization processing on the frequency, the current, the direct current component, the environmental magnetic field intensity, the power supply voltage and the aging drift amount; the reliability analysis module calculates the reliability of the two types of sensors based on the normalized index; the weight endowing module dynamically distributes sensor weights in combination with the temperature influence factors; and the current summary calculation module outputs the final detection current through weighted fusion. The problem that a single sensor is easily influenced by frequency deviation, direct current component, temperature drift and magnetic field interference under complex working conditions is solved, high-precision and high-reliability self-adaptive current monitoring is realized, and the safety monitoring capability of a magnetic levitation power distribution system is remarkably improved.

The embodiment of the invention discloses a ripple component extraction method, a ripple signal suppression method, a ripple component extraction device and power equipment, and the method comprises the steps: inputting a target bus voltage signal and an instantaneous angular frequency into an SOGI filter for processing, enabling the SOGI filter to output an instantaneous in-phase component and an instantaneous quadrature component, and controlling a PI controller to extract a ripple signal based on an instantaneous feedback quantity, and performing closed-loop control on the instantaneous angular frequency, and when the instantaneous angular frequency converges to the target angular frequency, outputting an instantaneous in-phase component of the target angular frequency by the SOGI filter. The ripple component is extracted in a software mode, no hardware circuit needs to be additionally arranged, the size miniaturization of the energy storage system is facilitated, and the hardware cost is reduced. The instantaneous feedback quantity provides the tracking direction and size of the real angular frequency of the ripple component for the PI controller, so that the instantaneous angular frequency output by the PI controller is accurately and reliably converged to the target angular frequency, and the extraction of the ripple component to be solved is adaptively completed.

Information about power events on the electrical grid may be determined by processing reports of power anomalies from power monitors installed at various points on the electrical grid, such as in buildings of end users of electrical power. A power monitor may process sensor measurements of the power line to determine that a power anomaly has occurred. The power monitor may transmit information about the power anomaly, such as the time and location, to a processing location. The processing location may select power anomaly reports having a similar time and location to determine information about a power event that caused the power anomalies. The information about the power event may include the type, time, and location of the power event. A notification may be sent about the power event to facilitate repairs and reduce risks, such as the risk of electrical fires.

The invention belongs to the technical field of chip testing, and relates to a power supply chip testing method, system and device and a storage medium. According to the method, the dynamic load jump sequence is constructed by collecting the actual load data of the power supply chip, and the problems that an existing fixed test is separated from an actual scene and single-index evaluation is one-sided are solved by combining continuous input voltage sequential change, periodic start-stop impact test and synchronous monitoring of multi-dimensional parameters. Balance test authenticity and chip safety are controlled through load scaling and an input voltage range, comprehensive performance quantitative evaluation is realized through weighted calculation, a result has higher reference value through a dual evaluation mechanism, and reliable support is provided for design optimization and quality guarantee of a power supply chip.

The invention belongs to the technical field of electric appliance insulation testing, and particularly relates to a switch cabinet insulation state evaluation method based on transient overvoltage signal analysis, which comprises the following steps: acquiring a transient overvoltage signal of a switch cabinet bus, and obtaining a first-order differential sequence and a phase space trajectory through differential filtering; by calculating the vertical deviation degree of a phase space trajectory motion vector relative to a reference vector, the trajectory deviation degree is obtained, and a divergence accumulation index is calculated so as to represent the geometric distortion of the waveform; estimating the oscillation frequency and the voltage amplitude of the signal, and obtaining the frequency amplitude synchronism based on the correlation of the variation of the oscillation frequency and the voltage amplitude so as to represent the nonlinear physical characteristics of the insulating medium; and the divergence accumulation index and the frequency amplitude synchronism are input into a preset two-dimensional characteristic plane, and the insulation state of the switch cabinet is output, so that the evaluation accuracy is effectively improved.

The invention discloses a zero-sequence current acquisition and analysis device and method for a power secondary circuit, and belongs to the field of power systems. The device comprises a current transformer, a temperature sensor, a front-end analog filter, an ADC, a rear-end digital filter, a self-adaptive wave trap, a processor and an alarm. Wherein the output end of the current transformer is connected to the processor through the front-end analog filter, the ADC and the rear-end digital filter in sequence; and the processor is also respectively connected with the temperature sensor and the alarm. According to the invention, real-time acquisition and early warning of the zero-sequence current are realized, and high precision and stability of an acquisition result in a full temperature range are ensured at the same time.

The invention relates to a high-voltage cable fault identification method based on a sheath current signal. The method comprises the following steps: collecting a historical sheath current signal of a high-voltage cable; extracting a time domain feature, a frequency domain feature, a time-frequency domain feature and a non-linear domain feature of the sheath current signal, optimizing the features and constructing an optimized feature set; constructing a high-voltage cable anomaly recognition model, and training the high-voltage cable anomaly recognition model by optimizing the feature set; and collecting a real-time sheath current signal of the target high-voltage cable, and identifying whether the target high-voltage cable has a fault based on the trained high-voltage cable abnormity identification model.

The invention relates to the technical field of current detection, and provides a multi-channel current time division multiplexing detection system and a current sampling chip. The system comprises a current sampling chip and a microcontroller. The current sampling chip is provided with a plurality of current sampling resistors, a plurality of current sampling signal switches, a logic unit and an operational amplifier module, and the plurality of current sampling signal switches are matched with the logic unit to switch current sampling voltage accessed to the operational amplifier module in a time division multiplexing mode, so that intensive detection of multi-channel current is realized; the overall scale of the system circuit is greatly reduced, and the hardware cost and the static power consumption are effectively reduced. Besides, a plurality of current sampling resistors and resistors in the operational amplifier module are arranged on the same chip in a matched manner, so that extremely high ratio consistency among the resistors is ensured, individual differences and mismatch errors caused by using a plurality of discrete devices are eliminated, and the accuracy of multi-channel current measurement is remarkably improved. And the consistency among the channels is particularly improved.

The invention relates to the technical field of power system monitoring, discloses an anti-harmonic PT current monitoring system and method, and aims to solve the problem of secondary side current signal distortion of a voltage transformer caused by power grid harmonic pollution in the prior art. The method comprises the steps of electrifying and initializing a system, starting a high-speed analog-to-digital converter to acquire a voltage signal, executing fast Fourier transform to identify dominant harmonic waves, calculating and configuring a capacitance value of a tunable LC trap unit to suppress specific harmonic waves, and finally outputting a high-fidelity analog voltage signal in direct proportion to fundamental current. The system comprises a current-voltage conversion module, a tunable LC notch filter array, a high-speed analog-to-digital converter, a digital signal processing unit and a microcontroller. According to the technical scheme, dynamic self-adaptive suppression and precise selective harmonic wave blocking of power grid harmonic waves can be realized, low delay and high fidelity characteristics are guaranteed, and the engineering practicability and reliability of the system are improved.