39 results about "Line flow" patented technology

The invention discloses a new energy critical permeability calculation method, a new energy critical permeability calculation system, new energy critical permeability calculation equipment and a medium, and relates to the technical field of new energy consumption capability assessment. Comprehensively considering operation constraints of power balance, generator output limitation, new energy output, node voltage amplitude, line power flow and system frequency and voltage regulation capability, and constructing a new energy critical permeability optimization model; a fox hunting optimization algorithm is improved by introducing a mixed disturbance mechanism and an adaptive step length strategy; and solving the new energy critical permeability optimization model by adopting an improved fox hunting optimization algorithm to obtain the new energy critical permeability under various operation constraint conditions. According to the method, the problems of low calculation efficiency, low solution precision and poor global search capability in the prior art are solved.

The present invention discloses a multi-region decomposition coordinated optimization scheduling method, device and storage medium. The method comprises: performing augmented Lagrangian relaxation on the coupling relationship between each adjacent sub-region according to the constraint conditions and objective function of each sub-region to obtain the first augmented Lagrangian function of each sub-region; and using the AMMD algorithm to calculate the first tie-line flow of each sub-region according to the first augmented Lagrangian function; wherein each sub-region is decomposed by the overall regional power system; substituting the tie-line flow of each sub-region as an initial value into the coupling relationship of each corresponding adjacent sub-region to solve the unit combination of each sub-region; and using the ADMM algorithm to calculate the second tie-line flow of each sub-region according to the tie-line flow and unit combination of each sub-region; and performing power system economic scheduling on the overall regional power system according to the unit combination and the second tie-line flow of each sub-region.

A compact, fabricated chassis houses an in-line flow meter and supporting electronics. The chassis surrounds the flow meter and houses a large external battery and a solar panel to maintain the battery's charge. The chassis also incorporates an electrical panel that houses a battery that connects to the flow meter. The flow meter is connected on each end to short sections of pipe, within the chassis, that are connected to job-site piping. The short sections may also include ports for additional sensors, which connect back to a monitoring device for remote monitoring. The chassis further includes an adjustable, slotted base plate to accommodate differently-sized flow meters for different applications. The chassis may be formed as stackable unit with alignment pins to guide placement and prevent slippage.

The present application relates to a kind of new energy fluctuation and data injection attack superimposed cyber-physical fusion hazard evaluation method and system, wherein the method comprises the following steps: constructing new energy fluctuation and data injection attack superimposed attack model, attack model introduces data injection attack vector and the change vector caused by new energy output uncertainty in line flow;Through the calculation of line load security constraint, determine the cyber-physical fusion hazard under new energy fluctuation and data injection attack superposition based on attack model.Compared with the prior art, the present application can determine the worst case by new energy output uncertainty and malicious data attack superposition caused by power grid ontology hazard level, can help operation and maintenance personnel to find the key risk node in power system.

The present application relates to the technical field of large-scale power grid security, in particular to an optimal decentralized coordination control method for microgrid in new energy power system, comprising the following steps: based on the online obtained power grid topology and real-time line flow data, the virtual disconnection test is carried out on the key transmission line one by one, and the whole network cascade risk quantitative index is established. The present application realizes the simulation and analysis of line fault scene by real-time acquisition of power grid topology and line flow data, implementation of virtual disconnection test on key transmission line, establishment of whole network cascade risk quantitative index on this basis, and real-time comparison with safety threshold, identification of the initial fault line which is the biggest threat to system security, generation of vulnerable line risk contribution list, realization of positioning and advance prevention of high-risk line; further, the power adjustment amount required by microgrid group is directly calculated according to the risk contribution list, and the prospective flow diversion instruction set is formed.

The invention discloses a parallel pipeline flow distribution method and device, and relates to the technical field of parallel pipeline flow distribution. The parallel pipeline flow distribution method comprises the steps that the flow of a first branch is adjusted to reach the target flow a1, the first valve opening value D1 of the first branch is locked, then the flow of a second branch is adjusted to reach the target flow a2, the second valve opening value D2 of the second branch is locked, and the rest can be done in the same way, and finally, the flow of the nth branch is adjusted to reach the target flow an, the nth valve opening value Dn of the nth branch is locked, and the total valve opening value D0 is locked, so that flow adjustment of all the branches is completed. The parallel pipeline flow distribution device is suitable for the parallel pipeline flow distribution method. The invention aims to provide the parallel pipeline flow distribution method and the device thereof so as to solve the technical problem that in the prior art, parallel pipeline flow distribution adjustment is complex to a certain extent.

This invention relates to the field of power system technology and discloses a method, system, equipment, and medium for line power flow regulation in power systems. The method involves collecting operational data of the power system after the integration of renewable energy equipment to predict the target value of reactive power demand. When this value falls within the regulation capacity range of reactive power flow regulation equipment, including bypass switches, LC filters, H-bridge converters, and DC capacitors, multiple target devices are determined based on the capacity margin of the equipment and its electrical distance from the renewable energy equipment. A quadratic programming model is constructed and solved based on the target value of reactive power demand to obtain the output strategy of the target devices, which is then sent to the corresponding target devices to control the line power flow through decoupling control technology. The regulation results are verified; if the verification fails, the target value of reactive power demand is incrementally corrected, and the strategy is re-solved until the final verification is successful, thereby achieving effective regulation of line power flow in the power system.

The application discloses an embedded throttling device applied to a gas static pressure bearing, which comprises a gas guide, a throttling column and an elastic piece, the gas guide is provided with a first opening, the elastic piece is provided with a second opening, and the throttling column passes through the first opening and the second opening in sequence; the gas guide and the throttling column form a throttling gap for gas passing at the first opening, the elastic piece and the throttling column abut at the second opening, a first gas cavity is formed among the gas guide, the throttling column and the elastic piece, the throttling gap and the first gas cavity are in communication, a second gas cavity is formed among the elastic piece, the throttling column and a main shaft rotor corresponding to the gas static pressure bearing; wherein the throttling column forms an air inlet hole at the first gas cavity and an air outlet hole at the contact position with the main shaft rotor, and after external gas passes through the throttling gap and the first gas cavity, the external gas enters the throttling column through the air inlet hole and enters the second gas cavity through the air outlet hole.

The invention relates to the technical field of power system optimization scheduling, and discloses a multi-time-scale optimization scheduling method considering key section power flow safety, which comprises the following steps: firstly, identifying a system partition map based on an adaptive GN algorithm, and establishing an optimization model considering power grid safety operation constraint conditions such as node power balance and line power flow balance; optimizing to obtain a key section tidal current safety limit value; establishing a day-ahead deterministic optimization scheduling model by taking the minimization of the total operation cost of the power system as a target, and further establishing a date two-stage distribution robust optimization scheduling model considering the wind power uncertainty and solving the date two-stage distribution robust optimization scheduling model; and considering a refined time scale, carrying out refined modeling on an intra-day load and a wind power output predicted value, establishing an intra-day rolling optimization scheduling model based on a model prediction control theory, and solving the intra-day rolling optimization scheduling model. According to the method, the robustness of a power system for dealing with short-term internal source load rapid fluctuation is improved, and the safety and reliability of power grid operation are remarkably improved.

An automated control system includes at least one memory storing instructions. The automated control system includes at least one processor being configured to execute the instructions to perform operations. The operations include automatically determining the following in a steady-state current injection model: current withdrawal phase angles, power factor constraints, demand bus voltage magnitude constraints, generator voltage magnitude constraints, network flow constraints, generator capacity constraints, thermal line flow constraints, minimum and maximum demand bus voltage phase angle differences, minimum and maximum generator voltage phase angle differences, nodal voltage phase angle vectors, voltage stability constraints, a reference voltage constraint, linear marginal cost curves, linear marginal revenue curves, and retail rates. The operations include automatically minimizing a profit objective function through employment of a Lagrangian function, KKT conditions, and a Newton-Raphson algorithm. The operations include automatically determining setpoints for a plurality of electric power system resources.

The application relates to the technical field of optimal scheduling of distributed power grids, and specifically discloses a two-stage optimal scheduling method for distributed power grids based on a probabilistic power flow and a WOA-PPSO algorithm, which comprises the following steps: constructing a probabilistic power flow model, calculating the probability distribution characteristics of node voltage and line flow in the power grid containing wind power, photovoltaic power and load randomness based on the semi-invariant method and Gram-Charlier series expansion. The application introduces the probabilistic power flow modeling into the optimization constraint of the scheduling algorithm, and responds to the uncertainty that may exist in the power grid in real time; by constructing a two-stage scheduling algorithm, the global optimal scheduling plan is generated based on the WOA algorithm in the day-ahead scheduling, and the deviation caused by the uncertainty is quickly responded on the basis of the optimal scheduling plan in the real-time scheduling of the day; and the result of the day-ahead scheduling is taken as the reference starting value of the real-time scheduling of the day, and the projection method is combined with the PSO algorithm to construct the PPSO algorithm, so that the solving speed in the real-time scheduling of the day is maximally improved.

The invention discloses an optimization control method and device for reducing line loss of a power grid, terminal equipment and a storage medium, and relates to the technical field of electric power. According to an initial topological structure of the power grid, a first objective function with line loss minimization as a target and a second objective function with topological adjustment cost minimization as a target are constructed; solving the first objective function and the second objective function according to the initial output power of a plurality of nodes in the power grid and the initial line power flow of a plurality of lines in the power grid, and generating a target topological structure of the power grid and the target output power of each node; adjusting the topological structure of the power grid according to the target topological structure; and generating a control signal of each node according to the target output power, so that each node outputs the target output power. Therefore, optimization control can be carried out on the power grid in a low-cost mode, and the problem that the optimization cost of a current double-high power system is too high is solved.

The application relates to the technical field of optimal scheduling of distributed power grids, and specifically discloses a two-stage optimal scheduling method for distributed power grids based on a probabilistic power flow and a WOA-PPSO algorithm, which comprises the following steps: constructing a probabilistic power flow model, calculating the probability distribution characteristics of node voltage and line flow in the power grid containing wind power, photovoltaic power and load randomness based on the semi-invariant method and Gram-Charlier series expansion. The application introduces the probabilistic power flow modeling into the optimization constraint of the scheduling algorithm, and responds to the uncertainty that may exist in the power grid in real time; by constructing a two-stage scheduling algorithm, the global optimal scheduling plan is generated based on the WOA algorithm in the day-ahead scheduling, and the deviation caused by the uncertainty is quickly responded on the basis of the optimal scheduling plan in the real-time scheduling of the day; and the result of the day-ahead scheduling is taken as the reference starting value of the real-time scheduling of the day, and the projection method is combined with the PSO algorithm to construct the PPSO algorithm, so that the solving speed in the real-time scheduling of the day is maximally improved.

The present application relates to the technical field of flow calibration, and discloses a multi-pipeline flow collaborative calibration system. The system comprises six modules, namely, flow characteristic acquisition, flow category classification, sequence analysis, trend analysis, correction and collaborative decision. The flow characteristic acquisition module acquires current flow data and real-time characteristic information of the multi-pipeline and indexes a historical flow data set; the flow category classification module classifies the historical characteristic information to obtain multiple flow categories, extracts relevant information to obtain a historical calibration score set; the sequence analysis module sequences the historical calibration score set and sorts it according to time to form a historical flow sequence; the trend analysis module analyzes the historical flow sequence to obtain a flow change rate and a stability deviation rate; the correction module matches the real-time characteristic information with the flow categories and corrects the above rate values according to the deviation; and the collaborative decision module makes a multi-pipeline collaborative calibration decision based on the corrected data, generates and executes a flow calibration scheme, and helps to accurately control the flow of the multi-pipeline system.

The invention relates to an installation (100) for accumulating and transferring products (2) comprising: - a device (1) for conveying said products (2) in a single-line flow, said device (1) comprising an upstream conveyor (10), at least two downstream conveyors (11, 12) opening longitudinally into a gripping zone (P), and a division system (13) for sending from said upstream conveyor (10) successively to one of the downstream conveyors (11, 12) at least a first single-line flow of products (2) in the form of batches to a downstream conveyor (11, 12) and at least a second single-line flow of products (2) in the form of batches to another downstream conveyor (11, 12), - at least one output conveyor (3) for said products (2), - an accumulation surface (4) for receiving the products (2) in the form of batches from the gripping zone (P), said surface (4) being located between said conveying device (1) and said at least one output conveyor (3),- a transfer means (5) for transversely moving at least one batch of products (2), on the one hand, from at least one downstream conveyor (11, 12) at the gripping zone (P) to said accumulation surface (4) and, on the other hand, from said surface (4) to said at least one output conveyor (3), installation (100) characterized in that, for at least two downstream conveyors (11, 12), between said dividing system (13) and the gripping zone (P), the length of a downstream conveyor (11) is greater than the length of at least one other downstream conveyor (12), so that at least two batches of products (2) formed successively by the dividing system (13) and sent, for one of them on one of the downstream conveyors (11, 12) and for the other on the other downstream conveyor (11, 12),arrive at substantially the same time at said gripping zone (P). The invention also relates to a method for accumulating and transferring products (2) in a packaging line. Figure for the abstract: Fig. 1,

The invention relates to the technical field of electric power systems, and discloses a line power flow regulation and control method, system and device for an electric power system and a medium, and the method comprises the steps: predicting a reactive power demand target value of the system through collecting operation data of the electric power system after new energy equipment is connected; determining a plurality of target equipment according to the capacity margin of the equipment and the electrical distance between the equipment and the new energy equipment when the value is within the regulation capability range of reactive power flow regulation and control equipment comprising a bypass switch, an LC filter, an H-bridge converter and a direct-current capacitor; building a quadratic programming model based on the reactive power demand target value, solving the model, obtaining a target equipment output strategy, and sending the target equipment output strategy to the corresponding target equipment, so as to control each target equipment to regulate and control the line power flow through a decoupling control technology; and verifying the regulation and control result, if the regulation and control result does not pass the verification, performing incremental correction on the reactive power demand target value, and solving the strategy again until the final verification is passed, thereby realizing effective regulation and control of the line power flow in the power system.

The invention discloses a distributed source-load collaborative strategy optimization method oriented to supply and demand mutual assistance of production and consumer of a micro-grid. The method comprises the following steps: constructing a production and consumer source-load physical state and energy storage time sequence constraint model; constructing a mutual aid power physical boundary; defining a virtual potential energy state quantity; constructing a delivery and disappearing person supply and demand mutual aid collaborative decision-making model; performing linearization processing on the alternating current power flow equation; solving a node voltage amplitude and a line power flow disturbance vector; converting the node voltage amplitude disturbance vector into a mutual aid power matrix; establishing a network physical constraint feasible region; establishing a global mutual aid matching model; constructing an asynchronous driving and joint optimization loop; virtual congestion potential energy is calculated; performing robust sensing extreme scene verification and cross-scene residual quantization on the mutual aid power matrix, and tightening the upper bound of a network physical constraint feasible region; and when the indexes converge, outputting a mutual aid power matrix and a scheduling instruction. According to the method, the problems that existing network constraint embedding lags behind, asynchronous negotiation convergence is insufficient, and cross-scene feasibility of extreme scenes is lacked can be solved.

The present invention discloses a method for controlling the active frequency droop of an AC system based on a line-to-line flow controller. First, the converter connected to the auxiliary control line of the line-to-line flow controller is unlocked, and the line-to-line flow controller connected to the auxiliary control line is set to operate in a constant DC voltage and constant reactive power control mode; then, the converter connected to each main control line of the line-to-line flow controller is unlocked in sequence, and the line-to-line flow controller connected to each main control line is set to operate in a constant AC line active power and constant AC line reactive power control mode; then, the AC system frequency difference signal Δ is extracted at the receiving end of the main control line. f ac ; and extract the frequency difference signal Δ f ac Multiply by the droop coefficient K An active frequency droop signal is generated; finally, the active frequency droop signal is added to the active power control instructions of the inter-line power flow controllers connected to each master line, implementing droop control based on the inter-line power flow controllers. This invention can accurately control the active power of a specified line and support the frequency stability of the AC system.

The invention relates to the technical field of economic dispatching of an electric power system, in particular to a robust safe and economic dispatching method considering super-resolution wind power uncertainty, and aims at electric power unbalance and line power flow out-of-limit risks caused by unpredictable nonlinear fluctuation of wind power under super-resolution at moments. A wind power output model which finely considers the super-resolution fluctuation uncertainty is provided based on the wind power predicted value of each moment in the main time scale and the interval variation range of the wind power fluctuation speed in the secondary time scale. And establishing a robust safe and economic dispatching model considering the super-resolution wind power uncertainty by introducing sub-time scale operation feasibility constraints. In order to solve the problem that a model is difficult to directly solve due to a secondary time scale operation constraint containing random variables, on the basis of constraint mechanism analysis, the problem is equivalently transformed into a plurality of deterministic constraints which are expressed by a severe scene and are easy to solve, and rapid solving of the model is realized.

The utility model discloses a boiler flue gas denitration inlet anti-clogging on-line flow measuring device, and relates to the technical field of flue gas denitration, the boiler flue gas denitration inlet anti-clogging on-line flow measuring device comprises a bottom plate, a denitration device is fixedly arranged on the top surface of the bottom plate, a denitration port is fixedly arranged on one side of the denitration device, a second connecting pipe is detachably arranged on one side of the denitration port, and the second connecting pipe is fixedly connected with the denitration device. A filter screen is fixedly arranged in the second connecting pipe, a smoke online flow measuring instrument is fixedly arranged on the outer surface of the second connecting pipe, a shell is fixedly arranged on the outer surface of the second connecting pipe, a movable plate is slidably arranged in the shell, a fixed plate is fixedly arranged on one side of the movable plate, and a rubber rod is fixedly arranged on one side of the fixed plate; the movable plate slides in the shell, the rubber rod is promoted to knock the second connecting pipe, so that impurities and dust adhered to the inner wall of the second connecting pipe and the filter screen are knocked off, the second connecting pipe and the filter screen are prevented from being blocked by too much accumulated dust, and the flue gas conveying efficiency is improved.

The present invention discloses a method for evaluating and optimizing the ramping demand of a power system that takes load-side resources into consideration. The method includes: in order to effectively address the volatility and uncertainty of loads or new energy sources, a method for calculating the maximum upward and downward ramping demands in different time periods is proposed, including methods for calculating deterministic and uncertain ramping demands; a ramping demand optimization model is proposed that takes minimizing the uncertain ramping demand as the objective function and takes into account constraints such as load regulation and demand response; a ramping capability optimization model is proposed that takes minimizing the comprehensive consumables of the power system as the optimization goal and takes into account constraints such as node balance and line flow; a model is built on the AMPL software and the solver GUROBI is called for solution to obtain a ramping demand evaluation and optimization scheme for the power system. The present invention can effectively reduce the comprehensive operating consumables of the power system, achieve the effect of peak shaving and valley filling of the net load of the power system, thereby improving the operational reliability of the power system and alleviating the dispatching pressure of the power system.

The present invention belongs to the fields of power grid operation and artificial intelligence technology, and discloses a power grid flow control method and system based on an artificial intelligence neural network. The method comprises: obtaining flow data of a target power grid; taking the amplitude and phase angle of the voltage at all nodes of the target power grid, the active and reactive power flows of the line, and a preset change in the active power flow of the line to be controlled as input; introducing the data into a pre-trained artificial intelligence neural network model of the line to be controlled for identification to obtain the voltage difference between the two ends of the line to be controlled; and controlling the voltage difference between the first and last nodes of the line to be controlled to be equal to the voltage difference between the two ends. The present invention associates the power adjustment value of the line with the voltage difference between the two ends of the line through the artificial intelligence neural network model. When the line flow control scheme is activated, the flow optimization on the line is achieved by controlling the node voltage.

This application discloses a method, apparatus, and device for determining video route information. The method includes: acquiring the line flow of two-dimensional line segments in a video image frame corresponding to the video to be processed, and the line flow of three-dimensional line segments in the video image frame; supplementing the missing parts of the line flow of the three-dimensional line segments based on the line flow of the two-dimensional line segments to obtain the line flow of the target three-dimensional line segments; and determining the route information corresponding to the video to be processed based on the line flow of the target three-dimensional line segments.

The utility model relates to an open channel on-line flow calibration system based on an ultrasonic electromagnetic technology, a flow measurement module comprises an ultrasonic liquid level sensor and a flow sensor, the ultrasonic liquid level sensor is arranged on a contraction section of a Parshall groove, and the flow sensor is arranged on a connecting pipeline; the control module is in communication connection with the flow measurement module and used for calculating the measurement difference value between the flow data measured by the ultrasonic liquid level sensor and the flow data measured by the flow sensor, and if the measurement difference value exceeds a preset flow threshold value, online calibration is conducted, and an alarm is given out. According to the technical scheme, the flow sensor is arranged to be matched with the ultrasonic liquid level sensor, when the measurement difference value between the flow sensor and the ultrasonic liquid level sensor exceeds the preset flow threshold value, online calibration is carried out, an alarm is triggered, and therefore real-time calibration can be carried out, and the requirement for online continuous measurement is met. And when the measured difference value exceeds the preset flow threshold value, an alarm is given.

The application provides a low-voltage power grid fault diagnosis method and system based on an improved whale optimization algorithm, and the topology structure of a low-voltage power grid is obtained according to low-voltage power grid station area data; based on the obtained topology structure, the impedance of each branch of the low-voltage power grid is calculated by using an improved whale optimization algorithm based on Levy flight and simulated annealing; according to the impedance of each branch, the power loss of each branch is calculated by using a root mean square current method; and according to the power loss of each branch, the low-voltage power grid fault diagnosis result is obtained; the Levy flight strategy and the simulated annealing strategy are applied to the optimization process of the whale optimization algorithm, so that the whale optimization algorithm can jump out of the local optimum and the global search ability is enhanced, and the impedance calculation method based on the improved whale optimization algorithm based on Levy flight and simulated annealing is proposed by combining the line flow calculation, accurate calculation of the line loss of the station area branch is realized, and more accurate monitoring and fault diagnosis of the low-voltage power grid are realized.

The invention discloses a method for constructing a traceable integrated energy system carbon emission flow model, which comprises the following steps of: constructing equivalent flow networks of different types of energy systems on the basis of a theory, and respectively constructing proportion matrixes for a lossless network and a lossy network; calculating source side unit contributions of node load, line flow energy and transportation loss based on the proportion matrix; and then, based on the carbon emission characteristics of each source side unit, quantitatively calculating the carbon emission flow of each link of node load, line flow and loss, and realizing the accurate tracing of the carbon emission of the integrated energy system. The invention aims to provide a scientific basis for carbon responsibility allocation and carbon quota allocation of an integrated energy system in a carbon trading market, and improve the refinement level of carbon emission management and decision making.

The utility model discloses an on-line flow measuring and calibrating device which comprises a first arc-shaped pipe, a second arc-shaped pipe, a correcting glass pipe, a correcting impact block and a correcting control box, an electronic flow measuring instrument is arranged on a main pipeline where gas flows, and the first arc-shaped pipe and the second arc-shaped pipe are symmetrically installed on the main pipeline. Two opposite ports of the first arc-shaped pipe and the second arc-shaped pipe are sleeved with the two ends of the correction glass pipe respectively, a correction impact block is plugged in the correction glass pipe, two pressure sensing blocks are symmetrically arranged on the inner wall, close to the tail end, of the correction glass pipe, a magnet piece is arranged in the correction impact block, and the pressure sensing blocks are arranged in the correction impact block. A first electromagnetic coil and a second electromagnetic coil facing two ports of the correction glass tube are arranged on the outer wall of the first arc-shaped tube and the outer wall of the second arc-shaped tube respectively, and a correction control box is installed on the outer wall of the correction glass tube and connected with the internet network. The device can carry out on-line remote correction, and is high in correction precision and high in correction speed.

The invention discloses a general distribution coefficient calculation method and system based on fault power flow section generation, and the method comprises the steps: decomposing the simultaneous tripping process of a multi-circuit line into an ordered successive tripping sequence, and calculating the power flow distribution of the line based on the successive tripping sequence; for each faulty line, based on the system operation state after tripping, all possible middle line combinations from the faulty line to a target non-faulty line are exhausted, and the total contribution of tripping of the line to the power flow of the target line is calculated; and generating a power flow section control inequality by using the distribution coefficients calculated by all fault lines and combining the power flow of each line before the fault, and evaluating the safety condition of the system. According to the method, multiple distribution coefficients are introduced, the process of simultaneous tripping of multiple circuits is decomposed into the process of successive tripping of the circuits, monitoring and analysis of the multiple circuits can be achieved, an effective technical means is provided for power grid operation personnel to know the power grid operation condition in time, and the influence of N-k on the system under source load fluctuation is reflected.

The embodiment of the invention provides a fault detection method and device, electronic equipment and a storage medium, and belongs to the technical field of nuclear power safety detection. The method comprises the following steps: performing anomaly detection on the water level of the voltage stabilizer, and judging an operation type; if yes, the water level of the voltage stabilizer, the initial temperature of a loop system, the main pump shaft seal injection flow, the backwater flow, the charging pipeline flow and the discharging pipeline flow are obtained. And calculating the initial leakage rate of the pressure stabilizer according to the initial temperature and the water level height. And basic fault identification is carried out through the water level height of the pressure stabilizer, the initial leakage rate, the main pump shaft seal injection flow and the main pump shaft seal backwater flow, and whether a basic fault exists or not is judged. And if no fault exists, the type of the pore plate and the system discharge flow are obtained, reference fault identification is carried out according to the water level height of the voltage stabilizer, the type of the pore plate, the flow of the charging pipeline, the flow of the discharge pipeline and the system discharge flow, and a reference fault type is obtained. According to the embodiment of the invention, the fault detection efficiency can be improved.