Abstract: Auto-balancing transformers are disclosed for balancing a multi-phase electrical system by varying the degree of electromagnetic coupling between primary and secondary windings. The auto-balancing transformer includes a movable armature to selectively couple primary phases with two or fewer phases of the secondary system.

Abstract: Technologies for producing training data for identifying degradation of physical components include a system. The system includes circuitry configured to apply an accelerated degradation process to a physical component of an industrial plant. Additionally, the circuitry of the system is configured to obtain measurement data indicative of visual characteristics of the physical component at each of multiple phases of degradation, wherein the measurement data is usable to train a neural network to identify a phase of degradation of another physical component.

Abstract: An intelligent fuse provides the operational status of the power network upon which the fuse is installed to a mobile device of a remote user. A fuse electronic circuit embedded in the fuse holder of the fuse captures the characteristic values of the power network and transmits the data to the mobile device. The mobile device has an application installed thereon to calculate the distance to fault location from the recording fuse using the fuse electronic circuit-captured data. The fuse electronic circuit-captured data is further used to visualize the data collected at the measurement points of the electrical system upon which the fuse is installed.

Abstract: Apparatuses, methods, systems, and techniques for detecting and effecting countermeasures against cyber-attacks on networked electrical power system (NEPS) devices include a trusted cyber-attack detection (TCAD) component including pre-trained cyber-attack detection logic which receives a first input indicating a physical parameter of a NEPS device and a second input indicating a computational state of a computer system of the NEPS device, determines an attack metric in response to the plurality of inputs. The attack metric can indicate whether the NEPS device is in the process of being attacked or whether the NEPS device has been successfully attacked and has been compromised.

Abstract: An intelligent fuse provides the operational status of the power network upon which the fuse is installed to a mobile device of a remote user. A fuse electronic circuit embedded in the fuse holder of the fuse captures the characteristic values of the power network and transmits the data to the mobile device. The mobile device has an application installed thereon to calculate the distance to fault location from the recording fuse using the fuse electronic circuit-captured data. The fuse electronic circuit-captured data is further used to visualize the data collected at the measurement points of the electrical system upon which the fuse is installed.

Abstract: Systems and methods for identifying faulted segment(s) in a multiphase power network may include receiving a current measurement that was measured during a fault, obtaining a set of equivalent sequence impedances for the segments, building a set of sequence bus impedance matrices, selecting a segment, calculating coefficients for the segment based on the set of equivalent sequence impedances for the segment and the sequence bus impedance matrices, calculating an estimated per unit fault distance for the segment based at least partially on the current measurement and the coefficients, identifying the segment as a potentially faulted segment if the estimated fault distance for the segment is between about zero and about one, and repeating for each of the segments the calculating coefficients, calculating an estimated per unit fault distance, and identifying as a potentially faulted segment if the estimated fault distance for the segment is between about zero and about one.

Abstract: An intelligent fuse provides the operational status of the power network upon which the fuse is installed to a mobile device of a remote user. A fuse electronic circuit embedded in the fuse holder of the fuse captures the characteristic values of the power network and transmits the data to the mobile device. The mobile device has an application installed thereon to calculate the distance to fault location from the recording fuse using the fuse electronic circuit-captured data. The fuse electronic circuit-captured data is further used to visualize the data collected at the measurement points of the electrical system upon which the fuse is installed.

Abstract: Systems and methods for classifying power line events are disclosed. Classifying power line events may include receiving measured data corresponding to a signal measured on a power line, such as proximate a substation bus or along the power line, determining from the measured data that the power line event has occurred, extracting at least one event feature from the measured data, and determining at least partially from the at least one event feature at least one probable classification for the power line event. The systems may include an Intelligent Electronic Device (IED) connected to the power line and a processor linked to the IED.

Abstract: Systems and methods for power line event zone identification are disclosed. Power line event zone identification may include receiving measured data corresponding to a signal measured on a power line, determining from the measured data that a power line event has occurred, and identifying a probable one of at least two monitoring zones in which the power line event occurred. The at least two monitoring zones may be defined for an Intelligent Electronic Device (IED). The systems may include an IED connected to the power line and a processor linked to the IED.

Abstract: Method and apparatus for analyzing waveform signals of a power system. A waveform signal obtained from the power system is digitalized and then filtered. One or more segments are identified on the filtered waveform signal and, based on the information content of the identified segments, each of the one or more identified segments are classified as corresponding to a normal or abnormal condition occurred in the power system.

Abstract: The present invention comprises an apparatus and method for detecting a loss of oil from an oil-immersed transformer, based on fitting a transformer top-oil temperature model to online measurements in an iterative optimization process that yields fitted values for a first model parameter representing the top-oil temperature rise over ambient temperature and a second model parameter representing the oil time constant. Among the several advantages seen in the contemplated apparatus and method is the reduction in required instrumentation, whereby transformer oil leaks are indirectly detected without requiring pressure sensors or mechanical floats, although the presence of such sensors is not excluded by the teachings herein.

Abstract: A decision support system is provided for utility operations to assist with crew dispatch and restoration activities following the occurrence of a disturbance in a multiphase power distribution network, by providing a real-time visualization of possible location(s). The system covers faults that occur on fuse-protected laterals. The system uses real-time data from intelligent electronics devices coupled with other data sources such as static feeder maps to provide a complete picture of the disturbance event, guiding the utility crew to the most probable location(s). This information is provided in real-time, reducing restoration time and avoiding more costly and laborious fault location finding practices.

Abstract: Auto balancing transformers are disclosed for balancing a multi-phase electrical system by varying the degree of electromagnetic coupling between primary and secondary winding. The auto-balancing transformer includes a movable to selectively couple primary phases with two or fewer phases of the secondary system.

Abstract: A method of handling a reclosing operation of a recloser in a power system subject to a fault. The method includes a) determining a fault current for each electrical phase, the fault current being determined by a difference between measured current values and a sinusoidal model of a current prior to the fault, bI) calculating a respective sinusoidal model of the fault current for each electrical phase using samples taken before the fault, bII) selecting two sinusoidal models with the largest amplitude to represent faulted electrical phases, bIII) calculating a plurality of sub-features based on the two models, and bIV) determining a main feature value based on the plurality of sub-features, bV) determining, based on the main feature value, whether a temporary fault is present, and c) providing control instructions that the recloser is to reclose in the event that the fault is a temporary fault.

Abstract: A method of classifying an event in an electrical grid. The method utilizes event related data provided by intelligent electronic devices and provides the operator with a single conclusion classifying the event, thereby helping the operator to determine the mitigation actions. The method includes receiving individual event related data from each intelligent electronic device, and determining whether the event is a fault or a non-fault based on probabilistic methods applied to the event related data. A corresponding system is also presented herein.

Abstract: A method of handling a reclosing operation of a recloser in a power system subject to a fault. The method includes a) determining a fault current for each electrical phase, the fault current being determined by a difference between measured current values and a sinusoidal model of a current prior to the fault, bI) calculating a respective sinusoidal model of the fault current for each electrical phase using samples taken before the fault, bII) selecting two sinusoidal models with the largest amplitude to represent faulted electrical phases, bIII) calculating a plurality of sub-features based on the two models, and bIV) determining a main feature value based on the plurality of sub-features, bV) determining, based on the main feature value, whether a temporary fault is present, and c) providing control instructions that the recloser is to reclose in the event that the fault is a temporary fault.

Abstract: According to an embodiment of a power network device, the device includes a computer configured to estimate a plurality of parameters internal to a transformer, including estimating a turns ratio of the transformer. The computer performs the parameter estimation based on an equivalent circuit model of the transformer and current and voltage samples which correspond to current and voltage measurements taken at primary side and secondary side terminals of the transformer. The computer indicates when one or more of the estimated parameters deviates from a nominal value by more than a predetermined amount. The computer can be part of an intelligent electronic device configured to acquire analog or digital signals representing the primary side and secondary side current and voltage measurements, or located remotely from the intelligent electronic device e.g. in the control room or substation controller.

Abstract: An intelligent fuse provides the operational status of the power network upon which the fuse is installed to a mobile device of a remote user. A fuse electronic circuit embedded in the fuse holder of the fuse captures the characteristic values of the power network and transmits the data to the mobile device. The mobile device has an application installed thereon to calculate the distance to fault location from the recording fuse using the fuse electronic circuit-captured data. The fuse electronic circuit-captured data is further used to visualize the data collected at the measurement points of the electrical system upon which the fuse is installed.

Abstract: Systems and methods for identifying faulted segment(s) in a multiphase power network may include receiving a current measurement that was measured during a fault, obtaining a set of equivalent sequence impedances for the segments, building a set of sequence bus impedance matrices, selecting a segment, calculating coefficients for the segment based on the set of equivalent sequence impedances for the segment and the sequence bus impedance matrices, calculating an estimated per unit fault distance for the segment based at least partially on the current measurement and the coefficients, identifying the segment as a potentially faulted segment if the estimated fault distance for the segment is between about zero and about one, and repeating for each of the segments the calculating coefficients, calculating an estimated per unit fault distance, and identifying as a potentially faulted segment if the estimated fault distance for the segment is between about zero and about one.

Abstract: The present invention comprises an apparatus and method for detecting a loss of oil from an oil-immersed transformer, based on fitting a transformer top-oil temperature model to online measurements in an iterative optimization process that yields fitted values for a first model parameter representing the top-oil temperature rise over ambient temperature and a second model parameter representing the oil time constant. Among the several advantages seen in the contemplated apparatus and method is the reduction in required instrumentation, whereby transformer oil leaks are indirectly detected without requiring pressure sensors or mechanical floats, although the presence of such sensors is not excluded by the teachings herein.