A system for detecting an event in an electrical infrastructure is disclosed. The system includes a plurality of monitoring stations configured to monitor signals from electrical equipment to detect one or more events associated with the electrical equipment. The monitoring stations are spaced at intervals along the electrical infrastructure. The system further includes a processor configured to analyze the detected events to obtain information regarding at least one of location, character and severity of each event associated with the electrical equipment, and output the obtained information.

A system for monitoring the state of a cable, includes a plurality of reflectometry devices able to inject a test signal at a point of injection into the cable and to measure a signal having propagated back through the cable to the point of injection into the cable, the reflectometry devices being intended to be positioned along the cable so as to divide the cable into successive segments, the system comprising a control unit that is able to communicate with the reflectometry devices and that is configured so as to carry out at least one reflectometry test consisting in injecting a test signal into the cable by means of a first reflectometry device and measuring the test signal, by means of the first reflectometry device, after it has propagated through the cable and been reflected from an impedance discontinuity, the system further comprising a post-processing unit able to communicate with the reflectometry devices and configured to analyze the measurement of the test signal with a view to detecting an amplitude peak corresponding to a fault.

A method and a device for improving current transmission reliability are provided. The method includes: selecting effective points; performing technical measurement; generating a threshold: generating a critical abnormal alarm time threshold t.sub.1, generating a critical defect alarm time threshold t.sub.2, and generating a non-critical abnormal electric leakage threshold t.sub.3; and generating a necessary remaining life number Δt.sub.21, wherein Δt.sub.21=t.sub.2−t.sub.1. By judging whether a current carrying capacity passing through an electric transmission line portion at a certain time exceeds an allowable current carrying capacity, the alarm time threshold t.sub.1 is far lower than 20%, an alarm is capable of being given for an abnormal situation in time, and a necessary remaining life of an electric device or system can be predicted by randomly measuring an input current I.sub.in i, an output current I.sub.out i, and errors of input and output currents, so that cross liability is avoided.

The invention discloses a commutation failure protection method, and apparatus, computer device and storage medium thereof. The method comprises: collecting three-phase AC currents on a valve-side of a converter, a DC current on a high-voltage side and a DC current on a neutral terminal; selecting a minimum value of an absolute value of the three-phase AC currents on the valve side as an AC characteristic quantity, and selecting a maximum value of the DC current on the high-voltage side and the DC current on the neutral terminal as a DC characteristic quantity; according to the AC characteristic quantity and the DC characteristic quantity, constructing a minimum characteristic quantity; comparing the minimum characteristic quantity with a first preset threshold, and outputting a commutation judgment result; according to the commutation judgment result, constructing a commutation time interval; comparing the commutation time interval with a second preset threshold and a third preset threshold, and outputting a commutation failure protection judgment result to determine whether a commutation failure occurs. The invention uses minimum current sequence characteristics to track a commutation process of a converter valve, and when a commutation failure occurs, it may make timely, accurate and reliable judgment, thereby ensuring safe operation of valve equipment.

A differential protection method for monitoring a line of a power grid. Current phasor measured values are captured at the ends of the line and transmitted to an evaluation device which is used to form a differential current value with current phasor measured values temporally allocated to one another. Time delay information indicating the time delay between local timers of the measuring devices is used for the temporal allocation of the current phasor measured values captured at different ends, and a fault signal indicating a fault affecting the line is generated if the differential current value exceeds a predefined threshold value. The reliability of the time synchronization is further increased by forming a quotient of the current phasor measured values to form an asymmetry variable, that is used to check a transit time difference of messages transmitted via the communication connection in different directions.

A method and a device for locating faults along an energy supply chain for DC current systems. To provide a reliable fault location for DC current systems, at least one reference short circuit is generated at a known reference fault location of the energy supply chain and at least one physical property of the energy supply chain is determined during the reference short circuit. At least one physical property of the energy supply chain during the operational short circuit is determined, and a fault location of the operational short circuit is determined, taking into account at least the determined physical properties during the reference short circuit and the operational short circuit and the reference fault location.

A payload support frame is adapted to suspend a payload from an unmanned aerial vehicle (UAV) during flight. The frame comprises at least one elongated rigid segment, at least one upper flexible segment at an upper end of the rigid segment, and at least one lower flexible segment at a lower end of the rigid segment. One or more of (a) the at least one rigid segment, (b) the at least one upper flexible segment, or (c) the at least one lower flexible segment comprise a dielectric material. The upper flexible segment is adapted to be selectively attachable, directly or indirectly, to the UAV. The lower flexible segment is adapted to be selectively attachable, directly or indirectly, to the payload.

A transmission line monitoring system and central processing facility are used to determine the geometry, such as a height, of one or more conductors of a power transmission line and real-time monitoring of other properties of the conductors.

A method is provided for generating a multi-carrier reflectometry signal intended to be injected into a transmission line in order to identify the presence of at least one possible fault on the line. The method includes: generating, in the frequency domain, a phase-modulated multi-carrier digital signal by: generating a digital signal, phase-modulating the digital signal based on a constellation of symbols, the phase θ.sub.k of each modulated symbol being determined based on the following equality: θ.sub.k=±(α*k.sup.2), where k is the index of each carrier of the signal and varies between 1 and the number of carriers N of the signal, α is a coefficient within the interval

[00001]$\left[\frac{\pi }{N}-\frac{\pi }{2N};\frac{\pi }{N}+\frac{\pi }{2N}\right],$

rounding the obtained phase θ.sub.k to the phase of the symbol of the constellation that is closest, and converting the generated signal into the time domain.

For detecting evolving faults in an electric power grid, a machine learning based model is trained and the trained model used using events with time information as input. An event is generated by a function in an intelligent electronic device based on one or more values measured from the electric power grid, the event indicating at least the function and its output. In the training, a plurality of event patterns that are extracted from event history data are used, an event pattern including in occurrence order events preceding within a time span a disturbance event. The disturbance event is an event resulting to an interruption in power supply in the electric power grid. The trained predictor is outputting predictions for occurrence times of disturbance events in the electric power grid, and they are displayed for detecting evolving faults in the electric power grid.