38results about "Emergency protection data processing means" patented technology

A flexible low-frequency transmission line inverse time protection method and system are provided. The method uses single-ended electrical quantity to constitute the criterion, after the fault occurs, the signal acquisition device is used to sample the phase current and voltage, and the resulting voltage and current are subjected to the Karenbauer transform to obtain the line mode and the zero mode components, and the integral value of the fault modulus components is used to construct the transient current energy, and the transient energy is used to construct the new inverse time limit characteristic curve equation, and the transition resistance compensation coefficient is introduced to improve the inverse time limit protection performance of the inverse time protection. The method is aimed at accelerating the action time of the protection when a fault occurs in a flexible low-frequency transmission line, and adopts the fault component to construct the transient energy value.

The application discloses a kind of comprehensive relay protection and management system based on intelligent algorithm, to realize the real-time monitoring of power system, fault detection and prediction, and relay protection control by highly integrated technical scheme.The system includes data exchange unit, programmable logic controller (PLC), intelligent data processing unit and touch screen device.Data exchange unit is responsible for the data bidirectional exchange with the sensors and devices of power system, ensures the real-time collection of system data and the effective transmission of relay protection control signal.PLC receives and processes these data, generates relay protection control signal according to the instructions of intelligent data processing unit.Intelligent data processing unit pre-processes, analyzes and predicts the collected data, provides PLC with logic control instructions based on deep learning, to optimize relay protection action.Finally, the touch screen device displays the real-time running state and fault analysis result of power system, and provides user interaction interface.

A power supply control apparatus for a vehicle controls power supply to a load based on a result of a temperature estimation for an electric wire connected to the load. The power supply control apparatus includes: a change unit configured to change a parameter of the temperature estimation in accordance with the load; and an estimation unit configured to perform the temperature estimation using the changed parameter.

The application relates to a non-full-phase power supply line comprehensive protection method, system, device and medium, characterized in that: when it is determined that traction power supply line protection at a transformer substation side has started, current and voltage information of two phases at the transformer substation side is collected; a fault element starting moment is recorded, a plurality of maximum sampling values in the former half cycle and a plurality of maximum sampling values corresponding to the latter half cycle before the moment are extracted; whether the traction power supply line at the transformer substation side appears a ground fault or a phase-to-phase fault is judged according to the current and voltage information, the extracted maximum sampling values and a first criterion, a second criterion and a voltage auxiliary criterion which are constructed in advance, and whether protection export is determined, and the application can be widely applied in the field of power supply lines.

A method and apparatus for controlling an arc suppression device of a three-phase electric network, the arc suppression device having an adjustable admittance connected between a neutral point of the three-phase electric network and earth, the apparatus being configured to determine a resonant frequency of a zero-sequence system of the three-phase electric network and determine, based on the determined resonant frequency of the zero-sequence system of the three-phase electric network, whether to initiate a tuning of the arc suppression device of the three-phase electric network.

The present invention relates to a rule utilization system (100) for a low, medium or high voltage switchgear, comprising: - a deterministic rule engine (10); - an input unit (20); and - an output unit (30); wherein the input unit is configured to receive a request based on input from an operator relating to an operation to be performed on a switchgear; wherein the deterministic rule engine is configured to execute a plurality of rules relating to the operation to be performed on the switchgear, wherein the plurality of rules relating to the operation to be performed on the switchgear were obtained based on the request, wherein the execution comprises utilization of the output unit to call a sensor system (40) to carry out a measurement of a part of the switchgear and utilization of the input unit to receive a result of the measurement of the part of the switchgear and / or utilization of the output unit to call a software system (50) to carry out an assessment of a part of the switchgear and utilization of the input unit to receive a result of the assessment of the part of the switchgear; wherein the deterministic rule engine is configured to generate at least one action for the operator to perform relating to the switchgear, and wherein the generation of the at least one action for the operator comprises utilization of the result of the measurement of the part of the switchgear and / or the result of the assessment of the part of the switchgear; and wherein the output unit is configured to output the at least one action for the operator.

The present disclosure provides an information processing device. The object is to grasp whether an emergency stop function of the device functions normally. The information processing device is provided with a switching circuit section for emergency stop of the device, a cut-off circuit section of the device, and a control section. Here, the switching circuit section is connected to the control section via an instruction line for monitoring whether the switching circuit section is energized. Further, the cut-off circuit section is connected to the control section via a drive line for monitoring whether the cut-off circuit section is energized. Further, the switching circuit section and the cut-off circuit section work in conjunction with an emergency stop switch and are connected via a linkage switch for energizing a drive section that drives a cut-off in the cut-off circuit section. Also, the control section performs: acquiring whether the switching circuit section is energized via the instruction line, acquiring whether the cut-off circuit section is energized via the drive line, and determining whether the emergency stop of the device is abnormal based on whether the switching circuit section and the cut-off circuit section are energized.

An information processing apparatus includes: a switching circuit section for emergency stop; a disconnecting circuit section; and a controller. The switching section is connected to the controller via a control line that monitors its energization, which changes in response to operation of an emergency stop switch. The disconnecting circuit section is connected to the controller via a drive line that monitors its energization, which changes in response to energization of a driving section that actuates a circuit breaker of the disconnecting circuit section. The switching and disconnecting circuit sections are linked by an interlock switch operating with the emergency stop switch to control power to the driving section. The controller acquires, via the control and drive lines, the respective energization states and determines whether an emergency stop is abnormal based on those states.

The present disclosure relates to a method for controlling an intelligent electronic device, IED, for power system components, the method comprising: rebooting the IED, wherein rebooting comprises reloading an operating system, executing, while the IED is rebooting, a basic mode of the IED, wherein the basic mode comprises at least one function for protecting a power system component connected to the IED, executing a normal mode, after the operating system is reloaded, wherein the normal mode comprises functions for protecting and controlling the power system component.

The application discloses a longitudinal differential protection method suitable for AC transmission lines of wind farm grid connection, and the method comprises the following steps: collecting current data of the AC line; using a sliding window with a length of N to perform Z-score normalization on the current data; performing physical feature anchoring SAX transformation on the normalized current data to generate a PF-Anchor SAX string; based on the PF-Anchor SAX string, calculating a time sequence dependent dynamic weighted edit distance; if the time sequence dependent dynamic weighted edit distance exceeds a threshold value and the duration exceeds a preset power frequency cycle, it is determined as an internal fault and tripped. By embedding the current physical characteristics into the symbolization process and dynamically quantifying the string difference combined with the time sequence correlation, the anti-malfunction ability to disturbances such as wind power fluctuations is significantly improved while ensuring high sensitivity to internal faults, and the running scenarios with similar numerical values but different physical meanings can be accurately distinguished.

The disclosed technology relates generally to switching devices and more particularly to switching devices employing micro-electromechanical system (MEMS) switches. The switching devices can serve as circuit breakers for protecting electrical systems against certain electrical events. The switching devices can be configured to monitor and control one or both the MEMS switches and the electrical systems being protected. The disclosed technology additionally relates to systems including the switching devices and methods of using the switching devices.

The application provides a differential protection data self-synchronization method and system suitable for a T-connection load feeder, which comprises the following steps: obtaining active and reactive power of each T-connection load branch in a protected feeder, and constructing a T-type equivalent model of the protected feeder; when a fault occurs, a protection device at each end of the protected feeder takes the time when the measured current of each end meets a protection starting criterion as a starting time, and calculates a fault current phasor of each end with the time as a reference; based on voltage and current sampling data in a preset time period before the starting time of the protection device at each end of the feeder, a comprehensive reference phasor of voltage and current of each end is calculated; according to the comprehensive reference phasors of voltage and current at each end and the T-type equivalent model of the feeder, a voltage reference phasor of an equivalent T-connection point of each end is obtained; and the fault current phasor is compensated according to the phase difference between the voltage reference phasors of the equivalent T-connection points at each end.

Embodiments disclose a smart circuit breaker. A smart circuit breaker may include a line side connection to a power distribution panel bus, a load side connection to at least one branch circuit, and an overcurrent protection mechanism. The smart circuit breaker further includes at least one relay coupled to the line side of the overcurrent protection mechanism, and a printed circuit board assembly. The printed circuit board assembly includes a processor and a memory with computer code instructions stored thereon configured to cause the processor control operation of the at least one relay, record electrical characteristics through the smart circuit breaker, and provide at least one network connection to the smart circuit breaker. The smart circuit breaker may be backwards compatible in that it can be incorporated installed in into an existing legacy circuit breaker distribution panel, such as the existing electrical distribution system.

The present invention provides an arcing detection method and system, in which an AI model derives an AI score from current data and preliminarily determines whether a current signal of interest is arcing based on a comparison between the AI score and an AI threshold. It preliminarily determines whether the determination is false. These two determination steps enable more accurate arcing detection. When a false determination count becomes greater than or equal to a false determination count threshold, the AI model is retrained and dynamically updated to adapt itself to the current situation. This dispenses with the need for deployment of multiple static AI models in the system, which requires larger storage memory. The AI model can adapt itself to the current situation without needing manual commissioning of parameters, effectively reducing manpower costs. Further, this dispenses with the need for regular interrogation of environmental changes, reducing the system's task overhead.

A method and apparatus for controlling an arc suppression device of a three-phase electric network, the arc suppression device having an adjustable admittance connected between a neutral point of the three-phase electric network and earth, the apparatus being configured to determine (110) a resonant frequency of a zero-sequence system of the three-phase electric network and determine (120), based on the determined resonant frequency of the zero-sequence system of the three-phase electric network, whether to initiate a tuning of the arc suppression device of the three-phase electric network.

The application discloses a deep integration of on-pole circuit breaker switching control method, and relates to the technical field of switching control. The method comprises the following steps: collecting the multi-source operation information of the circuit breaker and matching the preset operation scene library to determine the current switching control script; constructing a rapid emergency judgment layer and a stable optimization judgment layer to determine different layer actions; when the two layers simultaneously output switching actions, performing conflict detection, preferentially executing the switching action result of the rapid emergency judgment layer, and performing time compensation execution on the switching action result of the stable optimization judgment layer; when there are multiple candidate switching actions, calculating the corresponding time value points for each candidate switching action, determining the final execution action and executing, and monitoring the switching action link during the execution process to determine whether to trigger the dynamic backtracking process and correct. The application realizes the intelligent control of the rapid response, safe and reliable execution and optimized load distribution of switching actions.

The present disclosure relates to systems and methods for creating a training dataset for an artificial intelligence based arc fault circuit interrupter. According to various embodiments, a method for creating a training dataset for an artificial intelligence based arc fault circuit interrupter is provided. In some embodiments, the method includes: collecting a number of non-arc data frames; calculating a spectral magnitude for each non-arc data frame and summing the spectral magnitudes; calculating a mean of the sum of spectral magnitudes for the non-arc data; collecting a number of arc data frames; calculating a spectral magnitude for each arc data frame and summing the spectral magnitudes; for each arc data frame, comparing the sum of spectral magnitudes to a threshold based on the mean of the sum of spectral magnitudes for the non-arc data; and adding each arc data frame for which the sum of spectral magnitudes exceeds the threshold to an AI data model training dataset.

In this digital protection control device, a plurality of A / D conversion units convert an analog signal from a power system to a digital value. A reference signal imparting unit superimposes a reference signal onto the analog signal which is input to the plurality of A / D conversion units. A reference signal extraction unit extracts a component of the reference signal superimposed by the reference signal imparting unit from the digital value output from one or more A / D conversion units to be connected among the plurality of A / D conversion units, said one or more A / D conversion units to be connected receiving a signal onto which the reference signal is superimposed by the reference signal imparting unit. A first determination unit determines, on the basis of the extraction result, whether or not an abnormality has occurred in at least one of the A / D conversion units to be connected and an upstream circuit thereof. A second determination unit relatively compares the digital values output from the plurality of A / D conversion units and determines whether or not an abnormality has occurred in the plurality of A / D conversion units.

A rule utilization system for switchgear includes a deterministic rule engine; an input unit; and an output unit; wherein the input unit is configured to receive a request based on input from an operator relating to an operation to be performed on a switchgear; wherein the deterministic rule engine executes rules relating to the operation to be performed on the switchgear based on a request; utilization of the output unit calls a sensor system to measure and to receive a result of the measurement to call a software system to carry out an assessment of a part of the switchgear and utilization of the input unit to receive a result of the assessment of the part of the switchgear; wherein the rule engine generates an action for the operator; and wherein the output unit is configured to output the at least one action for the operator.

This invention relates to the field of circuit breaker technology, and in particular to a leakage current protection alarm method based on a smart circuit breaker. The alarm method includes the following steps: acquiring leakage current signals from the main circuit via a zero-sequence coil; performing dynamic gain adjustment and noise filtering on the leakage current signals to generate a pre-processed signal; filtering the pre-processed signal by frequency band to extract leakage current characteristic signals within a preset frequency band, and obtaining an effective leakage current value based on the leakage current characteristic signals; obtaining load classification based on the power signal of a temporary power consumption scenario through the microcontroller unit; generating a dynamic protection threshold based on the load classification results and environmental parameters using a multi-objective optimization algorithm, the dynamic protection threshold being used to adjust the leakage current protection sensitivity in real time; and executing a graded tripping control strategy when the effective leakage current value exceeds the dynamic protection threshold.

The application provides a ring direct-current micro-grid line fault diagnosis method based on a fuzzy granulation interval, a pole-to-pole / positive pole grounding fault classification strategy based on upper and lower bounds of the granulation interval and output voltage estimation, and realization of pole-to-pole / positive pole grounding fault classification by using characteristics of the granulation interval itself and characteristics of a capacitor discharge process, so that the pole-to-pole / positive pole grounding fault classification is not affected by voltage / current similarity caused by unknown fault resistance, and the pole-to-pole / positive pole grounding fault can be accurately distinguished in less than 0.5 ms without setting a threshold value. A new negative pole grounding fault detection index interval range is provided, abnormal fluctuations of voltage after fault are amplified, and the negative pole grounding fault can be detected in 1.5 ms. After obtaining diagnosis results at the ends of various converters, a neighbor cooperation mechanism can be used to identify a fault line. The diagnosis method has good performance when the fault position and fault resistance change, can accurately diagnose different types of line faults, and has adaptability to different network topologies.

In accordance with various embodiments, a method for creating a training dataset for an artificial intelligence-based arc-fault circuit interrupter is provided. In some embodiments, the method comprises collecting a number of frames of no-arc data, calculating a spectral amplitude value for each frame of no-arc data and summing the spectral amplitude values; calculating an average of the sums of the spectral amplitude values of the no-arc data; collecting a number of frames of arc data; calculating a spectral amplitude value for each frame of arc data and summing the spectral amplitude values; for each frame of arc data, comparing the sum of the spectral amplitude values to a threshold based on the average of the sums of the spectral amplitude values of the no-arc data; and adding each frame of arc data whose sum of the spectral amplitude values exceeds the threshold to an AI data model training dataset.

The application discloses a calculation method of short-circuit current of a new energy double-fed unit during low-voltage penetration, and is specifically implemented according to the following steps: a short-circuit current simplified model is established; an RT-LAB semi-physical simulation platform is used to build a new energy double-fed unit grid-connected system, and short-circuit currents of the unit under different fault scenes are obtained; simulation test is carried out; a least square method is used for data fitting of the short-circuit current during the low-voltage penetration stage, key parameters of the short-circuit current model are obtained, thereby forming calculation models of the short-circuit current during the Crowbar input stage and the RSC reactive power control stage, and finally forming a practical short-circuit current calculation model of the new energy double-fed unit. The calculation model is clear, has strong universality and operability, through the RT-LAB semi-physical simulation combined with the control characteristics of the actual new energy unit converter, the actual operation condition of the field is more approached, the calculation amount is reduced, the time required for calculation is shortened, and the calculation efficiency is improved.

The present application relates to bus duct heat protection technical field, specifically for bus duct heat protection method and system based on intelligent monitoring, it includes obtaining packet loss delay bandwidth generation state label, calling unstable link collection path node congestion rate port number generates dispatch table, collecting temperature rise rate displacement calculates thermal slope and combines field disturbance to get trigger value, comparing thermal trigger and thermal accumulation identifies high heat sensitive section mark, calling mark comparison and generating start result of flow interruption threshold value.The present application can dynamically analyze multi-dimensional data such as packet loss, delay and bandwidth, can evaluate the communication link state in real time and find unstable link, generate accurate trigger boundary value combined with thermal load, electric field intensity, harmonic and other parameters, match heat flow trend in advance before high heat sensitive area appears, start cooling or power-off protection in time, avoid the response lag of traditional technology, realize accurate and flexible heat protection by innovative intelligent response mechanism, protect the stable and safe operation of equipment and reduce the occurrence of overheating accident.

The application relates to a safety margin evaluation method of a secondary protection device, which comprises the following steps: sampling an action amount and a braking amount of a protection action of the secondary protection device; calculating an unbiased sensitivity coefficient and a biased sensitivity coefficient according to a sensitivity coefficient definition formula of the secondary protection device and precision variation of sampling; calculating a maximum bias of the corresponding sensitivity of the secondary protection device according to the unbiased sensitivity coefficient and the biased sensitivity coefficient; calculating an unbiased sensitivity safety margin and a biased sensitivity safety margin according to the unbiased sensitivity coefficient, the biased sensitivity coefficient and a sensitivity coefficient checking limit value of the secondary protection device; and calculating a sensitivity safety margin reduction value of the secondary protection device according to the unbiased sensitivity safety margin and the biased sensitivity safety margin.

This invention provides a method and system for calculating, setting, and verifying the settings of a relay protection device. A host computer monitors changes in the electrical parameters of a load model, acquires the electrical parameter information and first setpoint data for multiple load nodes in the load model, calculates second setpoint data, and if the first and second setpoint data differ, the host computer generates and issues a setting operation task. A handheld operating terminal receives the task, locates and connects to a matching first relay protection device according to the steps, and sends the second setpoint data; non-designated devices refuse to execute the task. The first relay protection device receives and solidifies the second setpoint data, and then feeds back the solidified result to the handheld operating terminal. The handheld operating terminal compares the feedback data with the issued data; if they match, the verification is successful; otherwise, it is abnormal. This invention solves the problem in related technologies where the setting process lacks effective closed-loop control, making it difficult to detect problems in a timely manner and posing significant safety hazards.

A method for controlling an electronic fuse (“eFuse”) in an electric circuit includes sensing a measured current in the circuit using a current sensor. An accumulator value of a register / accumulator represents thermal energy associated with the measured current. A range of the measured current is determined in response to: (i) the measured current exceeding the predetermined maximum current, or (ii) the accumulator value exceeding zero. The accumulator value is linearly adjusted when the range is in a predetermined range and the accumulator value exceeds a calibrated threshold of, e.g., at least about 95% of a maximum accumulator value. The method includes commanding the eFuse to switch to an off / non-conducting state when the accumulator value reaches a predetermined maximum, thereby interrupting a flow of the electric current to the connected load.