113 results about "Voltage phasors" patented technology

The invention discloses a non-contact electric power parameter measurement method, system and device, and a storage medium. The method comprises the steps of obtaining a first output voltage signal and a second output voltage signal generated by induction of a space electric field around a to-be-measured wire; establishing an equation set of a to-be-measured voltage phasor based on the first output voltage signal and the second output voltage signal, and solving the equation set of the to-be-measured voltage phasor to obtain a parameter of the to-be-measured voltage; acquiring a magnetic field measurement signal generated by a space magnetic field around the to-be-measured wire; and establishing an equation set of the current to be measured according to the magnetic field measurement signal, and solving the equation set of the current to be measured to obtain parameters of the current to be measured, thereby effectively solving the problem that the gain and the phase shift are unknown after the probe is connected.

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 relates to the technical field of line fault analysis, in particular to a high-voltage line fault identification method based on phasor analysis, which comprises the following steps of: performing multi-time window nesting decomposition on voltage phasors and current phasors acquired in the operation process of a high-voltage line, extracting a phasor dynamic response sequence, and calculating the phasor dynamic response sequence; identifying a main disturbance mechanism characteristic triggered by a fault, and constructing a main disturbance mechanism type label; a driving response dominant phasor disturbance factor is identified, a phasor factor mapping graph is constructed, factor stripping operation is executed, and a dominant purification phasor set is generated; and performing phase evolution analysis on the dominant purification phasor set, and determining a fault initial phase transition boundary and a cross-phase offset trend. According to the method, the stability and the physical consistency of identification are ensured, and the finally output fault type and phase structured result not only has clear logic traceability, but also highly meets the requirements of dispatching automation and quick response of a protection system.

The invention provides a new energy station high-voltage voltage transformer error evaluation method and system, and the method comprises the steps: collecting the voltage phasors of all measurement nodes in a preset time period at a transformer substation and a new energy station at the same time, obtaining the equipment parameters of a voltage transformer and the line parameters between the measurement nodes, and constructing a measurement data set; the method comprises the following steps: constructing a corresponding adjacency matrix and a node characteristic matrix by extracting line impedance and node working condition characteristics based on a power system line topological structure and data in a measurement data set, and obtaining a time sequence diagram structure data set according to the adjacency matrix and the node characteristic matrix; constructing a graph neural network, and training the graph neural network based on the time sequence graph structure data set; and inputting the voltage phasor of each measurement node, and based on the output result of the trained graph neural network, judging the state of the voltage transformer through a preset threshold value. According to the scheme, online evaluation of the error state of the voltage transformer can be realized, and the accuracy and interpretability of error evaluation are improved.

The invention discloses a high-voltage cable line parameter extraction method and system based on online monitoring. The high-voltage cable line parameter extraction method comprises the steps of listing a multi-conductor transmission line equation containing a relation between voltage phasors and current phasors at the two ends of a cable based on a multi-conductor transmission line theory; multiple groups of cable operation data are collected at the two ends of the cable, and moments with different load amplitudes are selected for each group of cable operation data; reducing orders of a chain parameter matrix in the multi-conductor transmission line equation and the voltage phasor and the current phasor of the head end of the cable to obtain a multi-conductor transmission line equation after order reduction; substituting the acquired cable operation data into the multi-conductor transmission line equation after order reduction, and solving a chain parameter matrix after order reduction through matrix operation; and solving the length of the cable line by using the chain parameter matrix and the chain parameter matrix after order reduction. According to the method, the calculation precision of the theoretical value of the sheath circulating current is improved, and the misjudgment rate and the missed judgment rate based on online diagnosis of the sheath circulating current are reduced.

The invention relates to the field of electric power measurement, and provides a voltage transformer error evaluation method and device, electronic equipment and a storage medium, and the method comprises the steps: collecting the voltage phasor information of a measurement node in a preset time window, and obtaining the reference technical parameters of a voltage transformer corresponding to the measurement node; feature extraction based on a sliding window is carried out, sequence diagram structural features are obtained in combination with an adjacent matrix, and the adjacent matrix is constructed based on network topology and line electrical parameters of a power system; error estimation is carried out through a trained error estimation model based on the time sequence diagram structure features, an error estimation value is obtained, and the error estimation model is obtained by training a graph neural network model based on historical voltage phasor information and corresponding error labels; and performing error state evaluation based on the error estimation value. According to the method, the device, the electronic equipment and the storage medium provided by the invention, online continuous evaluation of the voltage transformer error is realized, and the limitations of long period and high cost of a traditional offline verification method are broken through.

The invention discloses a power grid power flow real-time calculation and state estimation method and system based on a PMU, and belongs to the technical field of electric measurement and electric fault positioning. The method comprises the following steps: synchronously measuring electrical variables, including a voltage phasor and a current phasor, of a power grid node through PMU equipment to obtain synchronous phasor data, and verifying time and topology consistency; the power grid observability grade is judged based on PMU configuration node distribution corresponding to the verified electric measurement data; directly generating a real-time state estimation result through linear calculation based on PMU electric measurement data if the whole domain is observable; and if a part is observable, fusing PMU and SCADA data, carrying out nonlinear state estimation through a weighted least square method, distributing a high weight for the PMU electrical measurement data, and dynamically adjusting the SCADA weight to suppress bad data. According to the method, through observability adaptive judgment, the precision and efficiency of state estimation are improved, a data basis is provided for power grid fault positioning, and the method is suitable for practical application scenes of various PMU coverage degrees.

The invention provides a self-networking control protection method and device for a grid-connected energy storage converter, and a medium. The method comprises the following steps: acquiring electrical quantities of a grid-connected point and a direct current side, establishing a short-circuit capacity estimation value and a positive and negative zero sequence model, and generating a voltage phasor reference; generating a given frequency and a given voltage according to the power and frequency droop and the reactive power and voltage droop; generalized impedance shaping is executed in a control loop, and virtual impedance and selective filtering are configured according to frequency bands; completing grid connection or re-connection according to a sequence of frequency slope, phase angle slow alignment and voltage amplitude gradual combination based on a grid connection point reference phasor; setting positive-sequence, negative-sequence and zero-sequence fault current upper limits and a time sequence template in the symmetric component domain; and outputting the given frequency, the given voltage, the sequence component limit value and the protection state instruction to a converter power bridge driving and grid-connected switch control interface. According to the invention, phase-lock-free grid-connected synchronization, unified control protection switching, sequence component controlled fault current and weak grid stable operation can be realized.

The invention belongs to the technical field of power distribution network short-circuit current calculation, and discloses an active power distribution network non-measurement branch short-circuit current aggregation estimation method, system and device and a medium, and the method comprises the steps: selecting a feeder terminal unit as a boundary of a non-measurement branch short-circuit current aggregation estimation range; voltage and current data are measured in real time through the feeder terminal unit, and fault detection is carried out on the measured voltage and current data; if the fault is detected, the positive sequence voltage phasor and the positive sequence current phasor before and after the fault are calculated and uploaded to the power distribution main station; and calculating an aggregation position coefficient, a pseudo equivalent impedance and a real equivalent impedance of the measurement-free branch, and estimating a short-circuit current aggregation value of the measurement-free branch. According to the method, the short-circuit current aggregation value of all the non-measurement branches can be estimated through the data of the two measurement points in the main line, and the investment cost of the short-circuit current calculation of the active power distribution network is reduced.

The invention discloses a large power grid operation real-time scheduling method based on model prediction control, and relates to the technical field of intelligent control, and the method comprises the steps: carrying out the feature extraction of power grid historical operation data and weather prediction information, generating fusion feature data, and generating power grid load prediction data through a deep learning prediction model; calculating a voltage phasor, a line power flow and a frequency deviation of a power grid node based on the preprocessed power grid operation data, and generating a power grid state estimation result; identifying a potential abnormal mode through a machine learning algorithm by using a power grid state estimation result, and generating a power grid early warning signal; according to the power grid early warning signal and the power grid state estimation result, the complexity and the constraint tension degree of the scheduling problem are evaluated, and an optimizer selection result is generated; through fusion of multi-source data preprocessing, deep learning load prediction, high-precision state estimation and model prediction control, a reliable control instruction can be quickly generated, and comprehensive improvement of safety, real-time performance and adaptability is realized.

This invention discloses a low-voltage distribution area phasor measurement method and system based on field clock synchronization. The method includes acquiring voltage and current waveform data from slave nodes on power lines; performing time-domain or frequency-domain adjustments on the voltage and current waveform data to phase-shift the data and obtain phase-shifted signals; applying a windowing operation to the phase-shifted signals and performing phase compensation to obtain phasor data; and uploading the phasor data to the concentrator. The low-voltage distribution area phasor measurement method based on field clock synchronization described in this invention can synchronously acquire and calculate voltage and current waveform data collected by the acquisition unit. The combination of the concentrator and the acquisition unit achieves high-precision clock synchronization across the entire network, enabling large-scale deployment in low-voltage distribution areas. It is highly economical and can guarantee real-time calculation requirements.

The invention discloses an automatic simulation modeling method and verification method for impedance characteristics of a new energy unit and an electromagnetic transient simulation model used for the new energy unit. The simulation verification method comprises the steps that a frequency scanning range is determined, frequency sweeping is conducted on the electromagnetic transient simulation model, and disturbance excitation voltage phasors are injected into the electromagnetic transient simulation model; executing simulation on the electromagnetic transient simulation model, and acquiring a response current phasor under the condition of injecting the disturbance excitation voltage phasor; calculating positive sequence impedance and negative sequence impedance according to the disturbance excitation voltage phasor and the response current phasor; constructing an impedance matrix; and according to the impedance matrix, performing comparison verification with actually measured impedance characteristic data of the new energy unit, and calculating an average relative error, thereby verifying the electromagnetic transient simulation model of the new energy unit. The technical problem that whether the result of the simulation model of the new energy unit is accurate or not cannot be judged due to the fact that the simulation verification correctness of frequency scanning cannot be automatically verified is solved.

The invention discloses a flywheel energy storage active phase modulation control method, system and device and a medium, and the method comprises the following steps: collecting multi-source power data of a power grid, and obtaining preprocessed phasor data; inputting the preprocessed phasor data into a first network model, and predicting a voltage phasor trajectory, a power angle trajectory and a frequency trajectory in a future preset time window; respectively carrying out corresponding evaluation and analysis, and outputting corresponding evaluation and analysis results; and respectively calculating an active power injection instruction in a power angle support mode, a reactive power injection instruction in a voltage phase correction mode or an anti-phase power injection instruction in an oscillation suppression mode according to an evaluation analysis result, and controlling the flywheel body to output power. According to the method, the power grid phasor trajectory is predicted, risks can be pre-judged and control measures can be actively taken before instability occurs, the defect of traditional afterward response is changed, passive is changed into active, and the timeliness and effectiveness of control are improved.

Systems and techniques are disclosed for improving real-time tissue characterizations during endovascular procedures. In some implementations, a method involves characterizing biological tissue for an endoluminal procedure. A first electrode is positioned within an endoluminal space adjacent to a region of biological tissue. A second electrode is positioned spatially separated from the first electrode. A variable-frequency input electrical signal is applied across the first electrode and the second electrode to generate an electrical field corresponding to the region. A voltage response is measured between the first electrode and the second electrode based on the electric field. A voltage phasor is determined based on the voltage response relative to the variable-frequency input electrical signal. A characteristic of the region is determined based on the voltage phasor.

The present invention discloses a method, device, and medium for locating grounding faults in bilateral, fully parallel AT catenary systems. The method comprises the following steps: after a fault occurs, collecting the catenary voltage phasors at the beginning and end of each AT segment; determining the faulty AT segment based on the voltage phasors at the beginning and end of the AT segment; collecting the voltage phasors and distance data for the faulty AT segment; and determining the fault point based on the voltage phasors and distance data for the faulty AT segment. This embodiment improves fault location accuracy by measuring only the voltages on both sides of the AT segment, eliminating the need for current measurement, and thus addresses the problem of locating grounding faults in the catenary system of bilateral traction power supply systems.

This application relates to a method, system, and device for calculating the DC component of short-circuit current in a power system. The method includes obtaining the fault node in the power system network topology, the number M of branches connected to the fault node, the active voltage phasor of the fault point, and the branch current phasor of each branch connected to the fault node; calculating the equivalent impedance phasor and decay time constant corresponding to each branch based on the active voltage phasor and branch current phasor; obtaining the time after the fault, and calculating the DC component of the short-circuit current based on the time after the fault, the branch current phasor, and the decay time constant; and calculating the DC component of the short-circuit current to ground of the fault node for the M branches. This method calculates the DC component of the short-circuit current of each branch connected to the fault node separately, and incorporates the decay time constant of the branch during the calculation process, resulting in more accurate calculations of the DC component of the short-circuit current of the branches.

The disclosure provides an optimization control method and device of a bidirectional underwater wireless charging system, wherein the optimization control method of the bidirectional underwater wireless charging system comprises: determining an equivalent voltage phasor representation of a primary-secondary circuit; determining a total loss representation of the underwater wireless charging system; minimizing the total loss representation of the underwater wireless charging system to determine an optimized ratio of equivalent voltage phasor amplitudes of the primary-secondary circuit and an optimized phase difference value of the equivalent voltage phasors of the primary-secondary circuit; determining the equivalent voltage phasors of the optimized primary-secondary circuit; and determining an alternating current voltage phasor of the optimized primary-secondary circuit according to a preset internal-external phase shift angle. Through the disclosure, the coil current of the primary-secondary circuit is optimized, the synthetic eddy current electric field loss and the parasitic loss of the circuit are reduced, the efficiency and interoperability of the bidirectional underwater wireless charging system are improved, and the reduction of system efficiency caused by parameter asymmetry is prevented.

The present application relates to the technical field of electric power metering, and provides a voltage transformer error prediction model construction method, an error evaluation method and a device, the construction method comprising: collecting voltage and current phasors of a monitoring node and obtaining three-phase admittance parameters; constructing a node feature matrix based on the voltage and current phasors, establishing a graph adjacency matrix based on the three-phase admittance parameters, and using the node feature matrix and the graph adjacency matrix to perform error prediction by using a graph neural network to obtain voltage and current prediction errors; obtaining voltage estimated true values based on the voltage phasors and the voltage prediction errors, obtaining current estimated true values based on the current phasors and the current prediction errors, and determining voltage drop and current balance constraint losses of a three-phase transmission line based on the voltage estimated true values and the current estimated true values; and performing parameter iteration on the graph neural network based on the voltage drop and the current balance constraint losses to obtain an error prediction model. The method and device provided by the present application can maintain stable performance under different operating conditions and network topologies.

The invention relates to the technical field of power system operation and control, and discloses a pooling station monitoring data-based new energy base rapid frequency supporting capability monitoring method, which comprises the following steps of: firstly, automatically identifying a disturbance moment based on frequency and power change characteristics, and carrying out smoothing and exception suppression processing on disturbance data; then combining frequency response mechanisms of wind power, photovoltaic and energy storage equipment to construct an inertia response characteristic and primary frequency modulation characteristic model of the new energy base, and identifying an equivalent inertia constant and an equivalent droop coefficient of the base by using measurement data during disturbance; solving the external equivalent reactance of the new energy base based on the sensitivity relationship between the complex power and the voltage phasor; and finally, calculating the fast frequency support capacity, sustainable support duration and frequency response index of the new energy base in combination with the parameters, thereby realizing online monitoring and evaluation of the fast frequency support capacity.

The present invention provides a method and device for determining a symmetrical fault in a three-phase transmission line. The method comprises the steps of obtaining a real time current signal and a real time voltage signal at relay location of one end of the transmission line for each of measured phase loops, determining a reach point voltage signal phasor and a relay point voltage signal phasor based on the real time current signal and the real time voltage signal for each of measured phase loops, determining an operation signal and a restrain signal for each of measured phase loops, determining whether the operation signal exceeds the restrain signal for a measured phase loop, and detecting a fault if it is determined that the operation signal exceeds the restrain signal or the cosine of an angle difference between the relay location phasor and the reach point of voltage phasor is below zero.

The invention provides a new energy station mutual inductor signal adaptive decomposition method and system, and the method comprises the steps: collecting the voltage vector of each voltage transformer node in a transformer substation and a new energy station at the same time, constructing an observation data set based on the voltage vector of each voltage transformer node, and carrying out the preprocessing of the observation data set; and constructing a multi-target constraint based on variational mode decomposition, decomposing a voltage vector in the preprocessed observation data set through an NSGA-II algorithm under the multi-target constraint, and outputting each mode component in a voltage signal. According to the scheme, the accuracy and adaptability of mutual inductor signal decomposition can be improved, and the calculation cost in the decomposition process can be reduced.

The present invention discloses a VSG island detection method, device, system and medium, the method comprising: constructing d The axis coincides with the A axis of the ABC coordinate system dq Coordinate system; the inverter output voltage signal is transformed to the constructed dq Coordinate system, calculate the voltage phasor U The phase of the constructed dq Calculate the voltage phase change rate Δ in the coordinate system θ ; If the voltage phase change rate Δ θ Greater than the set voltage phase change rate threshold Δ θ th , and the duration Δ t h Exceeding the time threshold Δ t th , it is identified as an islanding event. Angular velocity error negative feedback is also added to the VSG active loop. When the actual frequency deviates from the rated value, this error negative feedback increases the deviation. Compared to traditional over / underfrequency (OUF) islanding detection methods, the frequency deadband is reduced from [49.5, 50.5] Hz to (49.9, 50.1) Hz, and this method does not affect power quality.

The invention discloses a positioning method suitable for an asymmetric short-circuit fault of an active power distribution network, and relates to the field of power systems, and the method comprises the steps: obtaining the positive and negative sequence voltage phasor ratio distribution of a low-voltage side measurement point of the power distribution network; judging a fault section according to the positive and negative sequence voltage phasor ratio distribution; the positive and negative sequence voltage phasor ratio of the fault position is deduced from the head end of the power distribution network and the tail end of the fault section, the accurate position of the fault is obtained through simultaneous operation, and the asymmetric short-circuit fault of the active power distribution network is positioned. The problem that an existing method cannot be suitable for distributed power supply access and high-resistance faults is solved.

The present invention discloses a submarine cable line distance measurement method and system based on double-end steady-state quantity information, which relates to the field of line distance measurement technology. The steps are: measuring the voltage sampling value and current sampling value on both sides of the submarine cable line, and obtaining the voltage phasor value and the current phasor value according to the voltage sampling value and the current sampling value; calculating the voltage sampling value change and the current sampling value change on both sides of the submarine cable line at a fixed time after the fault, and obtaining the voltage change phasor value and the current change phasor value according to the voltage sampling value change and the current sampling value change; calculating the propagation coefficient and wave impedance of the submarine cable line; iteratively calculating the voltage phasor value, the current phasor value, the voltage change phasor value, and the current change phasor value according to the propagation coefficient and the wave impedance to obtain the correction value; combining the iterative result with the correction value to continuously iterate and obtain the distance measurement result. The method of the present invention is simple in principle, can accurately identify the fault point, and realize accurate distance measurement of the line.

The invention relates to the technical field of electric power measurement, and provides a voltage transformer error prediction model construction method and an error evaluation method and device, and the construction method comprises the steps: collecting the voltage and current phasors of a monitoring node, and obtaining a three-phase admittance parameter; constructing a node feature matrix based on the voltage and current phasors, establishing a graph adjacency matrix based on the three-phase admittance parameters, and performing error prediction by using the node feature matrix and the graph adjacency matrix and adopting a graph neural network to obtain voltage and current prediction errors; obtaining a voltage estimation truth value based on the voltage phasor and the voltage prediction error, obtaining a current estimation truth value based on the current phasor and the current prediction error, and determining voltage drop and current balance constraint loss of the three-phase power transmission line based on the voltage estimation truth value and the current estimation truth value; and performing parameter iteration on the graph neural network based on the voltage drop and the current balance constraint loss to obtain an error prediction model. According to the method and the device provided by the invention, the stable performance can be kept under different operation conditions and network topologies.

The invention discloses a complex valued neural network dynamic modeling method for power grid fault identification and prediction, and relates to the field of smart power grids. According to the method, a separated complex valued neural network is constructed, voltage phasors and power vectors in a complex number form are input, and power grid characteristics are extracted through not less than 3 complex number convolution layers and not less than 2 full connection layers. And training the model by using historical loop closing operation data not less than 100,000 times, wherein the training period does not exceed 4 hours. The model can accurately predict loop closing current amplitude and output voltage deviation, and a continuous prediction value is converted into a switch state decision signal through an embedded binarization module. According to the invention, the precision and efficiency of power grid loop closing operation and fault prediction are improved, and core model support is provided for intelligent operation and maintenance of the power grid.

The present disclosure relates to a fault detection method for a power transmission line (101) in an alternating current (AC) power transmission system (100). The method comprises: - obtaining local voltage phasors and local current phasors of a local position of the power transmission line; - obtaining transmission properties for the power transmission line from the local position to a remote position at a distance from the local position and for associated devices, wherein the transmission properties comprise series parameters, shunt parameters, and the distance from the local position to the remote position; - estimating, for the remote position, estimated remote voltage phasors and estimated remote current phasors on basis of the local voltage phasors, the local current phasors, and the transmission properties; - receiving, via a communication link (115), data relating to remote phase currents and determining measured remote current phasors; - determining whether a fault has occurred or not on basis of at least one of a combination of the estimated and measured remote current phasors and a combination of the estimated and measured remote voltage phasors; and - determining whether a fault is a true fault or a false fault, including: • comparing a first phase angle and a first magnitude of an estimated remote positive sequence current phasor with a second phase angle and a second magnitude of a measured remote positive sequence current phasor; • determining, on basis of the comparison, whether there is a significant channel asymmetry on the communication link; and • determining that the fault is a false fault if there is a significant channel asymmetry.

The invention relates to the technical field of power grid data restoration, in particular to a power distribution network measurement missing node voltage calculation method, which comprises the following steps of: analyzing a distribution network measurement configuration deviation power problem, researching a deviation power distribution mechanism model, embedding the deviation power distribution mechanism model into a neural network to construct a hybrid drive mode, and training the neural network offline by using historical measurement data to calculate the voltage of a distribution network measurement missing node. On-line reasoning of voltage phasors of distribution network measurement missing nodes is achieved, the problem is calculated and deduced into the problem of distribution coefficient optimization through conversion of a current matching mechanism equation, constraint of a power flow equation is met, and finally, the voltage phasors of any node are rapidly solved through a mechanism-data hybrid driving neural network. According to the method, the voltage calculation problem under the condition of distribution network measurement deficiency is effectively solved, and the calculation efficiency and accuracy are improved.

The invention discloses a power grid adaptive direction distance protection method and system based on an apparent power supply, and the method comprises the steps: building a home terminal dynamic equivalent apparent power supply model based on a voltage phasor and a current phasor obtained through measurement at a protection installation part, and enabling the model to be defined by two key parameters, namely, an apparent power supply voltage amplitude and equivalent impedance; three-phase voltage and three-phase current at a protection installation position are collected in real time, positive sequence voltage is calculated through a symmetrical component method, and the real-time phase difference between the dynamic equivalent apparent power source at the terminal and the three-phase voltage and the three-phase current is calculated; comparing the real-time phase difference with a preset action interval; when the real-time phase difference is in a set action interval, judging that a fault is a forward fault, and starting a protection action; and otherwise, a reverse fault is determined, and latching protection output is carried out. According to the method, the dependence of traditional protection on fixed source impedance parameters is effectively overcome, multiple control strategies such as unit power factor control, low voltage ride through and negative sequence current suppression of the wind turbine generator are adaptively compatible, and the interference of harmonic waves and power fluctuation on protection is remarkably suppressed.

The invention relates to a PMU-based power distribution network adaptive reclosing method, device and equipment and a medium, and the method comprises the steps: obtaining preprocessed multi-dimensional operation data through PMUs installed at the two sides of each circuit breaker of a power distribution network after the power distribution network breaks down; identifying a fault section of the multi-dimensional operation data, constructing a total vector difference sequence according to the voltage phasor difference between the fault section and the adjacent power frequency period, and generating a discrimination result based on the total vector difference sequence and the voltage amplitude change before and after the fault; performing stability and temperature rise evaluation on the multi-dimensional operation data corresponding to the judgment result to obtain the operation safety level of each fault section; determining a target section from the fault sections according to the judgment result and the operation safety level; and generating a fault coincidence decision based on a preset coincidence rule, and then reclosing the target section according to the fault coincidence decision. The method has the effect of improving the reclosing efficiency of the power distribution network in the fault line section.