1043results about "Voltage measurements only" patented technology

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 an equipment fault diagnosis method and system based on a large electric power model, and the method comprises the steps: collecting and fusing voltage and current waveform data and alarm log information in a short time window before and after a fault moment, achieving the context integration of a multi-dimensional feature vector through multi-level feature coding and semantic embedding, and achieving the fault diagnosis of a large electric power model. And relevant knowledge fragment retrieval is carried out in combination with a power field knowledge base. On the basis, relevant knowledge fragments, voltage-current waveform fusion feature coding vectors and fault alarm key information semantic embedding coding feature vectors are jointly embedded into a preset Prompt template and then are input into a diagnosis engine based on large model driving, so that intelligent analysis and report generation of fault types, reasons and key features are realized. Through the mode, the limitation of dependence on single data or rules traditionally is broken through, the accuracy, automation and interpretability of fault diagnosis under complex working conditions are remarkably improved, and a solid support is provided for intelligent and high-reliability equipment operation and maintenance.

The invention provides a power network state recognition method and system based on data feature analysis, which are used for continuously improving the power network state recognition precision through a data-driven optimization mechanism, providing full-process intelligent decision support for power grid operation and maintenance, and effectively promoting the power network to be converted from a passive operation and maintenance mode to an active prevention and control mode. The method comprises the following steps: acquiring a multi-dimensional power data set of a target power network, performing dynamic feature extraction processing on the multi-dimensional power data set to generate a power network operation feature set, and inputting the power network operation feature set into a debugged power state recognition model, and carrying out conjoint analysis on the voltage fluctuation characteristics, the current phase deviation characteristics and the equipment health degree characteristics through a power state identification model to generate a power network state classification result, and generating a network operation and maintenance strategy according to the power network state classification result. And the network operation and maintenance strategy is sent to the power dispatching terminal so as to activate corresponding equipment maintenance operation or load adjustment operation.

The invention relates to the technical field of substations, and discloses a safety assessment system and method for a main grounding grid of a substation. The method comprises the following steps: arranging a multi-point potential gradient sensor for a main grounding grid of a power transmission and transformation project transformer substation and carrying out synchronous measurement to obtain an original potential gradient data set; performing effective signal and interference signal distinguishing processing on the original potential gradient data set to obtain potential distribution information of the transformer substation grounding grid; establishing a transformer substation grounding grid dynamic impedance model for fault current analysis to obtain a whole-process potential distribution diagram including an initial stage, a steady-state stage and a recovery stage; and performing security risk assessment based on the whole-process potential distribution diagram, and outputting a security risk area report. According to the invention, effective measurement signals and interference signals are effectively distinguished, reliability and accuracy of grounding grid potential measurement data in a complex electromagnetic environment are significantly improved, and accurate positioning of a risk area and effective tracking of a hazard source are realized.

The invention relates to the technical field of electricity metering anomaly monitoring, and provides a distributed resource access-oriented lightweight electricity metering anomaly monitoring method, which comprises the following steps of: acquiring electrical data and environment associated data of distributed access points at an edge side, and constructing a fluctuation fingerprint feature vector; when it is detected that the fluctuation fingerprint feature vector meets a preset fluctuation triggering condition, based on Pearson correlation analysis between the electrical data and the environment associated data, performing decoupling and elimination on false anomalies caused by environmental factors to obtain a fluctuation fingerprint feature vector of non-environmental suspicious anomalies; based on historical normal operation data, constructing a normal working condition mode library by adopting a clustering analysis method, and determining a feature center and a dynamic safety radius of each normal working condition mode; and calculating the feature distance between the non-environmental suspicious abnormal fluctuation fingerprint feature vector and each normal working condition feature center at the edge side, and judging whether the electricity consumption metering is abnormal or not according to the relationship between the feature distance and the dynamic safety radius.

The invention relates to the field of power distribution network ground fault accurate judgment, and discloses a power distribution network ground fault accurate positioning method based on traveling wave detection and artificial intelligence, which comprises the following steps: (a) collecting a power distribution network traveling wave voltage signal through a multi-node synchronous sensor array, and generating a preprocessing signal through baseline correction and wavelet threshold denoising; (b) constructing a Gaussian random field model of line resistance, inductance and capacitance, and simulating a traveling wave propagation process in combination with a nonlinear wave equation; and (c) defining Finsler measurement on the traveling wave signal manifold, and separating the aliasing mode by minimizing path integration. According to the invention, the technical scheme of multi-node synchronous signal acquisition and self-adaptive preprocessing is adopted, so that the effect of eliminating coupling of power frequency interference and high-frequency noise is achieved. Compared with a scheme depending on a single sensor and a fixed filtering threshold in the prior art, the method solves the defect that the wave head time difference extraction is not accurate due to asynchronous sampling.

Method for estimating the voltage value relating to a live element uses five capacitors, wherein a first capacitor has its first pole connected to said live element; a second capacitor has its first pole connected to said live element; a third capacitor has its first pole connected to the second pole of the first capacitor and its second pole connected to ground; a fourth capacitor has its first pole connected to the second pole of the second capacitor and its second pole connected to the first pole of a fifth capacitor. The voltage value is estimated using: 1) a voltage value relating to a first node positioned along the conducting wire that connects the first capacitor to the third capacitor 2) a voltage value relating to a second node positioned along the conducting wire that connects the fourth capacitor to the fifth capacitor; 3) a capacitance value of the third capacitor; 4) a capacitance value of the fourth capacitor; 5) a capacitance value of the fifth capacitor.

The invention relates to a voltage sag source positioning method based on measured data. The method comprises the following steps: S1, acquiring monitoring data; s2, performing sag-fault matching based on time sequence matching; the voltage sag of one monitoring point is matched with the same bus fault and the external fault according to the time sequence of events, and the time difference between each pair of voltage sag and fault in the matching result is calculated; s3, dynamically adjusting a window to calculate a quantile detection abnormal value; s4, performing secondary matching and iteration termination based on the reduced data set; and S5, repeating the steps S2-S4 for other monitoring points to obtain all matching data in the region, and realizing accurate positioning of the voltage sag source. According to the method, accurate and efficient fault positioning and matching can be carried out on the voltage sag event.

The invention relates to a photovoltaic grid-connected node voltage prediction method and device and computer equipment, and the method comprises the steps: obtaining real-time voltages collected for a plurality of photovoltaic grid-connected nodes in a target region at at least two collection moments, and a voltage prediction duration for the target region; based on the interval duration between the acquisition moments, determining the expected number of prediction moments included in the voltage prediction duration; for each acquisition moment, based on the adjacency relation between the photovoltaic grid-connected nodes, spatial analysis is carried out on each real-time voltage obtained at the acquisition moment, and spatial characteristics of each photovoltaic grid-connected node at the acquisition moment are obtained; according to a time sequence between the acquisition moments, performing time sequence analysis on the spatial features corresponding to the acquisition moments to obtain a target time feature; and performing voltage prediction processing on the target time characteristic based on the prediction moment number to obtain a prediction voltage corresponding to each photovoltaic grid-connected node at each prediction moment. By adopting the method, the voltage prediction accuracy can be improved.

The invention discloses a power distribution equipment voltage quality adjustment control method, device and equipment, and the method comprises the steps: collecting voltage waveform data in the operation process of power distribution equipment, and carrying out the feature extraction of the voltage waveform data, and constructing a voltage feature library; identifying a resonance voltage mode based on the voltage feature library, performing energy density analysis on the resonance voltage mode to position a resonance energy collection point, generating a resonance compensation signal, and converting resonance energy into adjusting power; performing voltage distribution evaluation on the resonance enhancement control domain, identifying an energy surplus region and an energy deficient region, and constructing a bidirectional energy channel between the two regions to generate an energy balance configuration table; carrying out oscillation characteristic analysis on the energy balance configuration table, and implementing oscillation type voltage regulation at a periodic regulation point; carrying out key path identification on the oscillation adjustment parameters, and optimizing a processing sequence to generate an adjustment time sequence table; and extracting execution instructions of each node according to the adjustment time sequence table to generate a hierarchical control instruction set, thereby realizing active perception, intelligent analysis and accurate regulation and control of voltage quality.

The invention discloses a voltage sensitivity fitting method and system driven by measurement data of a power distribution network, and the method comprises the steps: constructing a node input feature matrix based on the injection power, measurement voltage and neighborhood features of a power distribution network node in a certain operation state, inputting the node input feature matrix to a variational auto-encoder model, and estimating the node voltage of the whole network; constructing a plurality of groups of micro-power reference disturbance samples around the operation state, and generating corresponding voltage response by using the model again; and finally, calculating a power difference and a voltage difference between each disturbance sample and the reference state, constructing an overdetermined equation set, fitting a voltage sensitivity matrix by adopting a least square method, and averaging fitting results to improve the estimation precision. According to the method, high-precision voltage estimation and voltage sensitivity fitting can still be realized under the conditions of lack of topological structures and line parameters and sparse voltage measurement, and the method is suitable for state estimation, voltage treatment and operation optimization tasks in typical power distribution network scenes of sparse voltage measurement, incomplete topological information and the like.

A method and a system for estimating the value of the voltage relating to an element under voltage ET. The system comprises alive element ET, a first capacitor C1.sx, a second capacitor 01.dx, a third capacitor 02.sx, a fourth capacitor 02.dx, a fifth capacitor CS.dx. The method involves the use of the electrical values obtained through this system.

The invention discloses a spacing-adjustable magnetic steel wire electricity-taking clamp, and aims to solve the problems of poor stability, difficult installation of an electricity-taking clamp and poor adaptability in the adsorption electricity-taking process of an existing magnetic steel wire. The electricity taking clamp comprises a clamping assembly, an adjusting assembly, a fixing assembly and a plurality of magnetic steel wires, the clamping assembly is connected with the adjusting assembly, and the fixing assembly is connected with the clamping assembly; the adjusting assembly is used for adjusting the clamping width of the clamping assembly, the clamping assembly abuts against the circuit breaker, the fixing assembly is matched with the clamping assembly to fix the multiple magnetic steel wires, and the multiple magnetic steel wires are electrically connected with the circuit breaker. The electricity taking clamp can be adapted to circuit breakers with different widths, so that the universality of the electricity taking clamp is improved, and the cost is reduced; the adaptation process during power taking of the circuit breaker is saved, the power taking operation time is shortened, and the power taking efficiency is improved. The matching efficiency of the magnetic steel wire and the screw hole of the circuit breaker is improved, the wiring operation is simplified, the clamping assembly abuts against the circuit breaker, the stability of the power taking clamp after installation is ensured, and continuous power supply is guaranteed.

The invention relates to the technical field of submarine cable fault detection, in particular to a submarine cable fault detection system. The method comprises the steps that an adjustable low-frequency pulse injection unit injects a low-frequency pulse excitation signal and collects a response signal generated by a submarine cable fault; the multi-source signal fusion acquisition unit acquires a reflected voltage signal, an acoustic signal and a leakage magnetic field signal, and constructs a multi-modal fusion response characteristic matrix; the intelligent broadband noise suppression unit is used for performing noise suppression processing on each modal sub-matrix to obtain a de-noised multi-modal fusion response characteristic matrix; and the intelligent fault positioning interpretation unit is used for constructing a three-dimensional signal fingerprint spectrogram, performing classification analysis on fault events based on a fuzzy clustering algorithm and a depth feature matching model to obtain a fault type, and performing calculation through a path residual fitting method to obtain a fault position. The invention realizes a detection system which does not depend on a special cable structure, can actively excite and fuse multi-source signals, and can position submarine cable faults at high precision.

The invention discloses a power distribution network cluster local control method and device, equipment and a medium. The method adopts a cloud edge end three-level collaborative architecture, and comprises the following steps: acquiring electrical parameters through a terminal equipment layer; constructing a graph model based on an electrical distance at the edge calculation layer; performing initial cluster division and issuing on the cloud computing layer; dynamically optimizing cluster division in an edge calculation layer through a lightweight deep reinforcement learning model; local control strategies such as voltage reactive power cooperative control, frequency active power balance control and fault rapid isolation and self-healing are executed based on the final division. The system comprises a terminal device layer, an edge computing layer and a cloud computing layer. According to the method, decoupling of global optimization and local real-time control is realized through cloud-side cooperation, the problems of high data processing pressure, high communication delay, expanded local fault influence range and the like of centralized control are effectively solved, and the real-time performance, reliability and disaster resistance of the power distribution network are remarkably improved.

A voltage meter includes a sampler, a gain circuit, an accumulator and a feedback circuit. The sampler samples an input signal to generate a series of first signals and a series of second signals. The gain circuit, coupled to the sampler, modifies at least one of the series of first signals and the series of second signals, to generate a series of modified first signals and a series of modified second signals. The accumulator, coupled to the gain circuit, accumulates an operational result of the series of modified first signals and the series of modified second signals, to generate an accumulation result. The feedback circuit, coupled between the accumulator and the sampler, sends a feedback signal back to the sampler according to the accumulation result.

The application discloses a kind of non-contact track frequency shift signal online monitoring method and system, applied to intelligent monitoring technical field, method includes: receiving first measured voltage and second measured voltage;First measured voltage and second measured voltage are input first conditioning circuit by first transmission line, receive the first output voltage output by first conditioning circuit, and the parallel transmission line formed after first measured voltage and second measured voltage are connected in parallel by second transmission line and third transmission line are input second conditioning circuit, receive the second output voltage output by second conditioning circuit;According to first output voltage and second output voltage, calculate first measured voltage.The application is realized by the way of double-path simultaneous monitoring, reduces the influence of the related capacitance value change caused by environmental conditions on monitoring result, to effectively improve monitoring precision, and then provides solid foundation for non-contact frequency shift signal back-end processing.

A Module (MA) for a system (100.S / 200.S) suitable for estimating the value of the electric voltage comprises at least a first capacitor (C1.sx) and a second capacitor (C1.dx. The first capacitor (C1. left) comprises a first pole (C1.sx.p1) and a second pole (C1.sx.p2). The second capacitor (C1.dx) includes a first pole (C1.dx.p1) and a second pole (C1.dx.p2). The first capacitor (C1.sx) has its first pole (C1.sx.p1) connected to said live element (ET) and the second capacitor (C1.dx) has its first pole (C1.dx.p1) connected to said live element (ET).

The invention relates to the technical field of data processing, and discloses a photovoltaic module subfissure identification method and device. The method comprises the following steps: performing statistical feature extraction on voltage data after time synchronization calibration to obtain a voltage feature vector and a preliminary hidden crack suspicious point mark; performing maximum power point tracking controller working characteristic data acquisition on the photovoltaic module corresponding to the voltage characteristic vector to obtain a power characteristic parameter set; performing feature weight distribution and standardization processing on the voltage feature vector and the power feature parameter set to obtain a standardized feature vector; and performing multi-level threshold discriminant analysis on the standardized feature vector to obtain photovoltaic module subfissure diagnosis data. According to the invention, the efficiency and accuracy of hidden crack identification of the photovoltaic module are improved.

A vehicle smart energy center includes an array of electronic fuses coupling a DC power bus to a plurality of loads and primary and supplemental electrical power sources. Electronic fuses self-diagnose health and report current, voltage and temperature data which is used by a smart energy center control module to manage the diagnostic, current, voltage and temperature data and electronic fuses for fault remediation whereby the vehicle remains operable through various smart energy center anomalies.

The invention relates to the technical field of power grid monitoring, in particular to a distributed photovoltaic operation state evaluation and grid-connected switch control method and system, and the method comprises the following steps: obtaining bus voltage values before and after a photovoltaic unit is connected, collecting voltage measurement values of the photovoltaic unit in different power output states, and calculating voltage variation; and calculating the voltage offset in unit time, and generating voltage offset change data. According to the invention, based on voltage change trend extraction and adaptive classification analysis, in combination with voltage stability coefficient calculation, the adaptive capacity of the photovoltaic unit under different load conditions is quantified, voltage and frequency coupling analysis is introduced, and the coupling characteristics of the photovoltaic unit are graded. And a steady-state voltage range and a frequency deviation interval allowed by the power grid are dynamically adjusted, so that a grid-connected safety boundary meets actual operation requirements, stable grid connection is ensured when safety conditions are met, and the adaptive capacity of the power grid to distributed photovoltaic access is enhanced.

A voltage synchronizing signal detection method based on an improved DSOGI-PLL is characterized in that a DSOGI-QSG algorithm is adopted in a phase-locked loop, a difference node is introduced on a second-order generalized integrator SOGI structure in the DSOGI-QSG to improve the DSOGI structure, and the improved DSOGI-QSG structure is obtained and can suppress the influence of a direct current component on extraction of each parameter; a specific subharmonic elimination module structure is additionally arranged at the front end of the SOGI structure to serve as a front harmonic filtering cascade module, then the amplitude is corrected through a correction coefficient, and finally filtered signals are input into the SRF-PLL. A cascade harmonic elimination module is constructed in front of the QSG to suppress the distortion harmonic influence, and meanwhile, the QSG structure is optimized, so that the QSG structure can eliminate the direct current amount in the signal, the good characteristics of the traditional DSOGI-PLL are reserved, and meanwhile, the influence of the current bias amount, harmonic distortion and three-phase imbalance of the power grid synchronization signal on the phase locking speed and accuracy can be effectively reduced; and the system performance and applicability are improved.

Disclosed is a data driving circuit comprising a digital-to-analog converter configured to supply a data voltage to a plurality of data lines connected to respective pixels and to respectively supply sensing driving data voltages having different voltage levels to the first data line and the second data line adjacent to each other among the plurality of data lines, and a line defect detecting portion connected to the first data line and the second data line and configured to sense a sensing data voltage of each of the first data line and the second data line and to detect whether a short circuit occurs between the first data line and the second data line based on the sensed sensing data voltage.

The invention discloses a differential non-intrusive voltage measurement method based on a charge simulation method, and relates to the technical field of voltage sensor measurement, and the method comprises the steps: obtaining the distance from a plurality of sensors to a simulation line charge; wherein every two sensors form a double-layer differential structure; the simulated line charge is located in the center of the wire; based on each double-layer differential structure, determining a corresponding field-source decoupling relational expression; based on an electromagnetic formula, obtaining a relational expression between the wire surface voltage and the simulated line charge in the single power transmission line model; determining a single line voltage inversion expression based on the field-source decoupling relational expression and the relational expression of the wire surface voltage and the simulated line charge in the single power transmission line model; determining the number of single-line voltage inversion equations based on the single-line voltage inversion expressions and the number of sensors; and based on a plurality of single-line voltage inversion equations, calculating to obtain a voltage solution with the minimum overall error. According to the invention, the overall anti-interference performance of voltage inversion can be improved.

Provided is an electronic device and method for controlling the same, which controls an operation by detecting a voltage between a plurality of live terminals and thus determining whether there is an error in supplying power through a power input terminal. According to an embodiment, an electronic device includes a power input terminal including a plurality of live terminals and a neutral terminal; a voltage detection circuit connected between the plurality of live terminals for detecting a voltage between the plurality of live terminals; and a controller configured to control operation of the electronic device to be interrupted in response to a magnitude of the voltage between the plurality of live terminals smaller than a threshold.

The invention discloses an intelligent prediction and maintenance method and system for a power grid auxiliary control system, and relates to the technical field of power grid management and control, and the method comprises the steps: obtaining the electromagnetic field intensity and voltage waveform of a power grid in real time, building a standard library, carrying out Fourier transform and modeling, and obtaining an abnormal coefficient through abnormal processing and discontinuous point detection; high-frequency electromagnetic wave influence is predicted according to the coefficient, and a voltage waveform is fitted through a cubic spline interpolation method in case of abnormality, so that the system is ensured to be normal. According to the method, the electromagnetic field intensity is collected in real time, library establishment and comparison are performed, voltage waveform Fourier transform and discontinuity point detection are combined, the abnormal coefficient is comprehensively calculated, high-frequency interference is pre-judged, and waveform distortion is avoided; for abnormal waveforms, cubic spline interpolation is used for fitting discontinuous intervals, continuous functions and derivatives are met, signal self-repairing is achieved, and cost reduction and stability maintaining are achieved.

The invention discloses an intelligent vibrating rod system and an intelligent vibrating process, and relates to the technical field of concrete vibrating. The system comprises a vibrating rod, a motor and a control module, the control module comprises a motor control unit, a motor monitoring unit, a suspension voltage detection unit and an identification and analysis unit; the suspension voltage detection unit is connected with the shell of the vibrating rod and is used for detecting the suspension voltage of the shell; the motor monitoring unit is used for monitoring an input electric signal of the motor; the identification and analysis unit is connected with the suspension voltage detection unit and the motor monitoring unit, and is used for judging the working stage and the node of the vibrating rod according to the change and the change trend of the suspension voltage and the input electric signal; and the identification and analysis unit is used for outputting a control instruction to the motor control unit according to the identified working stage and node. According to the method, the traditional vibrating operation depending on artificial experience is converted into a traceable, normative and controllable operation process, and the uniformity and reliability of the concrete vibrating quality are effectively guaranteed.

The invention discloses a high-voltage sampling system and method. The high-voltage sampling system comprises a switch control module, a voltage dividing module, a first monitoring module, a high-voltage sampling module and a main control module, in the voltage dividing module, a first-stage voltage dividing unit is electrically connected with a high-voltage bus through a switch control module; the second-stage voltage dividing unit and the first-stage voltage dividing unit are electrically connected to a first voltage dividing node; the third-stage voltage dividing unit and the second-stage voltage dividing unit are electrically connected to a second voltage dividing node; the first monitoring module is used for monitoring the voltage of the first voltage dividing node, controlling the switch control module to be switched off when the voltage of the first voltage dividing node is abnormal, and providing a first feedback signal for the main control module; the high-voltage sampling module is used for collecting the voltage of the second voltage dividing node and providing a high-voltage sampling signal for the main control module; and the main control module is used for controlling the switch control module to be switched off according to the first feedback signal when the voltage of the first voltage division node is abnormal. By adopting the technical scheme, the safety and the reliability of the high-voltage sampling system are 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.

The invention relates to the technical field of automobile voltage, and discloses a voltage dynamic monitoring control method and system for an automobile speed regulation module and a storage medium, and the method comprises the steps: carrying out the covariant analysis of a real-time voltage sequence and a demand parameter sequence, and obtaining an expected voltage fluctuation and an abnormal voltage fluctuation; when the amplitude and the change rate of the expected voltage fluctuation are increased, the upper threshold and the lower threshold of the reference voltage safety line are correspondingly enlarged, and a dynamic voltage safety line is obtained; performing correlation analysis on the grade of the heat dissipation load signal, the priority of the instant load scheduling signal and the severity of the abnormal voltage fluctuation to obtain an electric power operation situation index; constructing a virtual voltage track by taking the electric power operation situation index as a node and combining the change trend of the abnormal voltage fluctuation; when the virtual voltage track approaches or passes through the dynamic voltage safety line, a prospective compensation instruction is generated, an optimal compensation strategy is generated, and abnormal voltage fluctuation is inhibited; according to the invention, the efficiency of voltage dynamic monitoring control of the automobile speed regulation module can be improved.