It is described an electrical installation measuring system comprising a control and measuring device configured to be installed on an electrical panel of an electrical installation and perform at least one measure of an electrical parameter of the electrical installation depending on an electrical load connected to the electrical installation and transmit command signals along a telecommunication link. The system further comprises a variable load device connectable to the electrical installation and configured to: receive the command signals from the telecommunication link; and assume a plurality of load configurations according to the command signals.

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.

Disclosed is a power distribution system for detecting and repairing all electrical faults, which performs at least one of immediate alarming, breaking, repairing, notifying, monitoring, and controlling according to a faulty section, place, and position where a fault occurred, if a resistance increase, an arc, an open phase, a connection failure, a partial wire disconnection, an incorrect wire connection, an abnormal voltage input, an electric leakage, a short circuit, a power imbalance occurs in three-phase or single-phase electrical equipment or in the present power distribution system.

A processor receives an indication of a fault from a first isolation device. The processor sends a first open command to a downstream isolation device downstream of the fault, identifies a tie-in isolation device, and identifies a line section without current monitoring positioned between the tie-in isolation device and the downstream isolation device. The line section has a plurality of line segments, each having a load rating. The processor receives incoming and exiting current measurements for the line section and estimates a first current load for each of the line segments in the line section based on the incoming and exiting current measurements and the load ratings. The processor selects an intermediate isolation device between the tie-in isolation device and the downstream isolation device based on the first current loads, sends a second open command to the intermediate isolation device, and sends a close command to the tie-in isolation device.

A fault isolating device for use in a microgrid disconnected from a main power grid includes a voltage meter for detecting a voltage anomaly indicative of an electrical fault, a timer for establishing a time window that begins and ends a predetermined time after a voltage anomaly is detected, a switch that is opened at the start of the time window, and a microcontroller that determines whether to leave the switch open to isolate a faulted portion of the microgrid or to close the switch. A plurality of fault isolating devices can be distributed throughout a microgrid to isolate a faulted branch or faulted branches of an islanded microgrid without interfering with normal fuse operation when the microgrid is connected to the main power grid.

Systems and methods to disconnect a faulted region of a power grid are described. For example, a control system may obtain a set of regions of a power grid. The control system may obtain a current magnitude and a voltage magnitude of the power grid. The control system may detect a fault in the power grid based at least in part on the current magnitude. The control system may, from the set of regions, determine a faulted region that the fault is located within based on a voltage magnitude of one or more buses in the power grid, a net change in power with respect to time of one or more regions in the set of regions, or both. The control system may send one or more signals to electrically disconnect the faulted region from the power grid.

A method for automatically categorizing disturbances in an electrical system includes capturing at least one energy-related waveform using at least one intelligent electronic device in the electrical system, and processing electrical measurement data from, or derived from, the at least one energy-related waveform to identify disturbances in the electrical system. In response to identifying a disturbance in the electrical system, each sample of the at least one energy-related waveform associated with the identified disturbance is analyzed and categorized into one of a plurality of disturbance categories. The disturbance categories may include, for example, (a) voltage sags due to upline electrical system disturbances, (b) voltage sags due to downline electrical system faults, (c) voltage sags due to downline transformer and/or motor magnetization, and (d) voltage sags due to other downline disturbances.

The invention relates to a device (D) for detecting a fault in an electrical network (1), comprising at least one electrical quipment (E) which is electrically connected to a first power conductor (C1) and to a second power conductor (C2), the electrical network (1) being provided with a common conductor (Cc). The device comprises a first measuring member (O1) of the common mode voltage present on the power conductors (C1, C2) and a second measuring member (O2) of a current flowing in the power conductors (C1, C2). The device also comprises a calculator (UP) configured to determine over a determined observation period a mixed energy (E.sub.mix) transported in the measurement region from the first variable (V.sub.res) and the second variable (I.sub.net). The invention also relates to an equipment, a localization system and a method for detecting a fault in an electrical network.

The present disclosure pertains to systems and methods for detecting lightning and using such information to implement appropriate control strategies in an electric power system. In one embodiment, a system may include a data acquisition subsystem configured to receive a plurality of representations of electrical conditions associated with at least a portion of the electric power system. The system may also include a traveling wave subsystem to identify an initial traveling wave in the electric power system and generated by lightning and identify at least one subsequent traveling wave in the electric power system and generated by lightning. A lightning analysis subsystem may perform an analysis of the initial traveling wave and the at least one subsequent traveling wave to determine a characteristic of the ionosphere based on the analysis and a lightning location. An adaptive control subsystem may adjust a control strategy based on the lightning location.

Systems, methods, and processor-readable storage media for AI continued learning in electrical power grid fault analysis use historical fault record data to generate a fault cause prediction model for predicting the cause of a fault, and modify the fault cause prediction model based on additional technician data received from power grid technicians. The systems disclosed herein additionally receive an indication of a fault which has occurred in a power grid, obtain a prediction of the cause of the fault by applying the indication of the fault to the fault cause prediction model, and cause the predicted cause of the fault to be remedied.