A fault point locating apparatus according to the present disclosure includes: a frequency characteristic calculation unit configured to calculate frequency characteristics after occurrence of a fault; and a post-fault-occurrence model analysis unit configured to add a model of a fault point to a pre-fault-occurrence model of a power transmission-and-distribution network so as to match the frequency characteristics after the occurrence of the fault and create a post-fault-occurrence model, thereby locating a fault point.

A method for intelligent fault detection and location of a power distribution network is provided, which includes: constructing a network topology of the power distribution network, updating the network topology in real time to obtain an updated network topology, performing a fault identification based on the updated network topology, performing a fault locating based on the updated network topology to determine a fault node, and identifying a fault type based on a fault recorded signal of the fault node. With this method, fault locations and fault types of the power distribution network can be accurately detected in real time.

A fast search method and system for cascading failures in hybrid AC/DC power systems. The fast search method for cascading failures in hybrid AC/DC power systems includes: Determining the initial failures and forming a failure set of the first-stage failure, setting the DC blocking or the failure level reaching the threshold as the search stop condition; Judge the cascading failures in the failure set of the current stage can trigger DC blocking, if a cascading failure can trigger DC blocking, store the DC blocking failure as the next-stage failure. Otherwise, cascading failures are searched on the AC side and the failure set of the next stage is determined based on the pruning search method and the outage risk value; If the search stop condition is satisfied, stop the search, otherwise, the number of failure stages is increased by one and return to judge the cascading failures to continue the search.

An automatic monitoring system for monitoring the integrity of a wiring having a number of cables, the monitoring system having an integrity measuring unit designed to be coupled to the electrical wires in order to carry out measurements and check for the presence of faults along the electrical conductors, and a detection unit to detect a voltage present in the electrical wires and to enable the integrity measuring unit in case the voltage has a predetermined relation with a voltage threshold, indicating the fact that the electrical load is not powered by the power supply source. The integrity measuring unit has an impedance measuring circuit to apply a measurement signal to a circuit formed by the pair of electrical wires and to obtain a value of the impedance of the same circuit. The integrity measuring unit checks for the presence of a fault depending on the impedance value.

A method is for locating a ground fault in a DC system to which a plurality of load zones can be connected. The method includes specifying a time window and, after the ground fault is detected, assigning the ground fault to a load zone which was connected to the DC system within the time window before the detection of the ground fault.

Systems, methods, and processor-readable storage media for AI-assisted electrical power grid fault analysis predict the cause of a fault and cause the fault to be remedied by receiving an indication that a first fault has occurred, identifying a plurality of additional fault records associated with the first fault, obtaining a first prediction of the cause of the fault based on the first fault record and the plurality of fault records by applying the fault records to a machine learning model, obtaining a second prediction of the cause of the fault by applying the fault records to a rules-based model, and obtaining a final prediction of the cause of the first fault based on the first prediction and the second prediction. The final prediction of the cause of the first fault is used to cause the predicted cause of the first fault to be remedied.

A system for detecting a fault in a polyphase electrical network, characterized by the fact that it comprises a plurality of sensors distributed over the electrical network and suitable for measuring a parameter representative of the positive sequence voltage and/or the negative sequence voltage at each respective sensor and analyzing means suitable for analyzing the signals coming from the different sensors representative of the positive sequence voltage and/or the negative sequence voltage at each respective sensor, by searching for an extremum from among the signals coming from the sensors and for locating a fault at the sensor corresponding to this extremum.

A ground monitoring tester for an AC power network, the tester comprising: a processor configured to repeatedly conduct impedance measurements of the ground of said AC power network at a point between a neutral reference point and the ground, wherein the processor is configured to conduct the impedance measurements repeatedly at intervals such as between 2 milliseconds and 2 minutes, indefinitely (i.e. without a time limit ending the measurements), whether or not the appliance or system is operational and whether or not there is an indication of a problem in the ground of said AC power network, wherein each of the impedance measurements is based on a voltage differential between a sequence of voltages including a first voltage without an internally generated reference current and a second voltage with an internally generated reference current, and at least one indication output based on the impedance measurements of the ground.

A control system and method for sectionalizing switches and pulse-testing interrupter/reclosers in a distribution grid feeder which enables fault location, isolation and service restoration without requiring an external communications infrastructure to pass information between the switches. The method includes switches entering an armed state when they experience a high fault current during an initial fault event. Then, when the interrupter/recloser runs its test pulse sequence, any armed switch counts all test pulses as fault pulses, while non-armed switches count the test pulses as load pulses. Switches open to isolate the fault based on threshold values of fault pulse count and load pulse count. When an initially active interrupter/recloser completes its test pulse sequence, another interrupter/recloser begins its sequence, and all switches reconfigure their threshold values based on the new interrupter/recloser. Interrupter/reclosers after the initial device use a fast close-open event if necessary to arm some switches for proper fault-count opening.

A method for testing a network is disclosed, the network having a number of network sections, in particular in a cable harness having a number of such networks, having the following steps of: recording training measured values for a number of reference networks, wherein the reference networks correspond to the network to be tested, preprocessing the recorded training measured values in order to eliminate data errors in the training measured values, training a first classification system using the training measured values, wherein the first classification system is based on at least one algorithm from the field of machine learning and is designed to classify a network either as fault-free or faulty, training a second classification system using the training measured values, wherein the second classification system is based on at least one algorithm from the field of machine learning and is designed to classify a faulty network section of a network, recording test measured values for the network to be tested, preprocessing the recorded test measured values in order to eliminate data errors in the training measured values, classifying the network to be tested as fault-free or faulty on the basis of the recorded test measured values using the trained first classification system, and classifying the faulty network section of the network to be tested using the trained second classification system if the network (to be tested was classified as faulty by the trained first classification system. The present invention also discloses a corresponding testing device.