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.

Provided in embodiments of the present invention are a micro-grid reconstruction method and device, a micro-grid protection and control center and a storage medium. The method includes: monitoring and acquiring current operating data of a micro-grid in real-time; storing the acquired current operating data and corresponding time stamp information in a database; analyzing an operating state of the micro-grid based on the operating data and the corresponding time stamp information that are stored in the database; and determining a current control scheme for the micro-grid according to a current analysis result, and reconstructing the micro-grid according to the current control scheme. The technical solution mentioned above realizes flexible protection and control of the micro-grid and improves the operating automation and intelligence of a system.

A monitoring system for recognizing a contingency in a power supply network including in-field measurement devices adapted to generate measurement data of the power supply network and a processing unit adapted to process the measurement data generated by the in-field measurement devices of the power supply network by using a local network state estimation model to calculate local network state profiles used to generate a global network state profile, wherein the processing unit is further adapted to process the measurement data generated by the in-field measurement devices of the power supply network to provide a relevance profile including for the in-field measurement devices a relevance distribution indicating a probability where the origin of a contingency within the power supply network.

According to one embodiment, an electronic apparatus connectable to a partial power system which is a part of a power system and comprises a first power source apparatus, power supply of the first power source apparatus stopped in response to detecting an islanding of the partial power system, includes: controlling circuitry configured to output to the partial power system a first signal to disable detecting the islanding of the partial power system by the first power source apparatus during at least part of a period during which the partial power system is electrically separated from the power system.

An electrical load system includes one or more electrical loads, a power transfer switch, and an electronic control system. The power transfer switch is coupled with and can provide power to one or more electrical loads from a first power source or a second power source. The electronic control system evaluates a source impedance of the first source and controls the power transfer switch in response to the source impedance of the first source indicating a fault condition of the first power source that would interrupt power from the first power source to the one or more electrical loads prior to the fault condition disrupting power from the first power source to the one or more electrical loads.

An uninterruptible power apparatus with a function of forced disconnection path is coupled between a grid and a load, and the uninterruptible power apparatus includes a bypass path, a power conversion module, a current detection unit, and a control module. The bypass path includes a switch unit, and the power conversion module is connected in parallel to the bypass path. The current detection unit detects a current flowing through the bypass path and transmits a current signal to the control module. The control module provides a turned-off signal to the switch unit when a first voltage of the grid is abnormal, and transmits a polarity of the current signal. The power conversion module generates a compensation amount according to the polarity, and generates an output voltage command according to the compensation amount and a voltage at an input terminal or an output terminal of the power conversion module.

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.

Disclosed is a method for operating a three-phase inverter on a three-phase load. The three-phase inverter has a direct voltage intermediate circuit, at least one three-phase bridge circuit, and at least one control unit for controlling the bridge circuit. In the at least one bridge circuit, at least two power switches per phase are provided, which are connected in series parallel to the direct voltage intermediate circuit. Depending on predefined target voltage values of the three phases of the inverter, the power switches of each individual phase are actuated via the control unit such that a three-phase alternating voltage is generated on the three-phase load via switching operations of the power switches. Very good dynamic control behaviour can be achieved despite cost-effective dimensioning of the IGBT power switches of the three-phase bridge circuit.

A control system and method for a group of interconnected feeders which enables fault location, isolation and service restoration without requiring each switch to have topology knowledge of devices in adjacent feeders. The method defines, for each switch, connectivity and X/Y directional information about its neighboring switches and propagates this information throughout each feeder. A leader device is also determined for each feeder. Information about topology of adjacent feeders is not needed by all devices. Only normally-open tie switches which define a boundary between two adjacent feeders have knowledge of the devices in both feeders. Switches which open during fault isolation automatically find open tie switches in a direction opposite the fault, and request service restoration downstream of the fault by providing power from an adjacent feeder. Leader devices ensure an overload condition is not created before initiating opening and closing operations of switches downstream of the fault.

Methods, systems, and computer programs are presented for estimating recovery of a distribution network after a disaster. One method includes an operation for generating a synthetic distribution network based on locations of substations in a geographical area. Further, the method includes operations for estimating damages to the synthetic distribution network based on disaster data, and for performing a simulation to estimate how the synthetic distribution network is repaired. The output of the simulation includes information on a lifeline recovery timeline for each building in the geographical area. Further, the method includes presenting, in a user interface, the recovery timeline for one or more buildings.