Patent classifications
H02H1/0092
Method for processing direct current electric arc and apparatus
A method for processing a direct current electric arc and an apparatus, includes: obtaining a first current which is a direct current input current of a direct current cable of a photovoltaic cell system; obtaining a second current, where the second current is a direct current common mode current of a direct current cable or an alternating current common mode current of an alternating current cable; calculating a correlation coefficient between a frequency domain component of the first current and a frequency domain component of the second current; and when determining that the first current meets an electric arc occurrence condition and the correlation coefficient is greater than or equal to a preset coefficient threshold, skipping sending a direct current electric arc fault alarm. The correlation coefficient is used to reflect a proportion of common mode noise generated by the second current, and the preset coefficient threshold is set.
MACHINE LEARNING BASED METHOD AND DEVICE FOR DISTURBANCE CLASSIFICATION IN A POWER TRANSMISSION LINE
The present specification provides a method and device for determining a disturbance condition in a power transmission line. The method includes obtaining (302) a plurality of sample values corresponding to an electrical parameter measured in each phase. The method further includes determining (304) a plurality of magnitudes of the electrical parameter corresponding to each phase based on the corresponding plurality of sample values and determining (306) a plurality of difference values for each phase based on the corresponding plurality of magnitudes. The method includes processing (308) the plurality of difference values using a machine learning technique to determine the disturbance condition. The disturbance condition is one of a load change condition, a power swing condition and an electrical fault condition. The method also includes performing (310) at least one of a protection function and a control function based on the disturbance condition.
SERVICE LOCATION ANOMALIES
Disclosed techniques include using machine learning to detect an electrical anomaly in a power distribution system. In an example, a method includes accessing voltage measurements measured at an electric metering device and over a time period. The method further includes calculating, from voltage measurements and for each time window of a set of time windows, a corresponding average voltage and a corresponding minimum voltage. The method further includes applying a machine learning model to the average voltages and the minimum voltages. The machine learning model is trained to identify one or more predetermined electrical anomalies from voltages. The method further includes receiving, from the machine learning model, a classification indicating an identified anomaly. The method further includes based on the classification, sending an alert to a utility operator.
Intelligent circuit breaker with dynamic coordination system
A power distribution system includes a first intelligent circuit breaker; a plurality of second intelligent circuit breakers, the second intelligent circuit breaker is structured to transmit the circuit breaker information to the first intelligent circuit breaker; and an energy monitoring device coupled to the first and second intelligent circuit breakers and structured to receive the circuit breaker information, the energy monitoring device including a dynamic coordination system structured to: (i) determine whether an adjustment to configuration setting of an intelligent circuit breaker is required based at least in part on the circuit breaker information, (ii) identify the intelligent circuit breaker with the configuration setting required to be adjusted based on a determination that the adjustment is required, and (iii) transmit an alert to user, indicating that the adjustment to the configuration setting of the identified intelligent circuit breaker is required and device address of the identified intelligent circuit breaker.
Method and apparatus for use in earth-fault protection
A method and an apparatus for use in an earth-fault protection in a three-phase electric network, the apparatus is configured to detect a phase-to-earth fault in the network, to determine for each of the phases of the network a phase current during the fault or a change in the phase current due to the fault, to detect a faulted phase of the network, to determine an estimate of an earth-fault current on the basis of the faulted phase and the phase currents or the changes in the phase currents, to determine a zero-sequence voltage of the electric network or a change in the zero-sequence voltage, and to determine a direction of the phase-to-earth fault from the measuring point on the basis of the estimate of the earth-fault current and the zero-sequence voltage or the change in the zero-sequence voltage.
Isolation of protective functions in electrical power systems
Systems, devices, and methods include protective functions in an electrical power system. For example, a processing subsystem may include a first processor and a second processor. The first processor and the second processor may operate independently. A memory subsystem may comprise a first memory section and a second memory section. A memory management subsystem may enable memory access between the first processor and the first memory section and disable memory access between the first processor and the second memory section. The memory management subsystem may further enable memory access between the second processor and the second memory section and disable memory access between the second processor and the first memory section. A protection subsystem may include the first processor and the first memory section and enable a protection function. The second processor and the second memory section may provide a second function that operates independently of the protection function.
METHOD OF CONTROLLED SWITCHING FOR TRANSFORMERS
An intelligent electronic device (IED) may obtain a voltage measurement matrix based on an arrangement of a transformer in a power system. The TED may obtain a delta connection compensating angle based on the location of the circuit breaker and the transformer arrangement. The IED may obtain voltage measurements of the transformer. The TED may determine a residual flux value of the transformer based at least in part on the voltage measurements, the voltage measurement matrix and the delta connection compensating angle. The TED may send a signal to a circuit breaker of the transformer to connect the transformer to the power system based at least in part on the system voltage and residual flux value.
A Method for Adjusting Operation Parameters of an Electrical Device
An apparatus (1) provided to connect at least one device (2) to a power distribution system (3), said apparatus (1) comprising a human machine interface, HMI, (4) having elements to interact with the apparatus (1), wherein the human machine interface elements (11,12) are adapted to display and/or to adjust setting values of operation parameters of the at least one connected device (2), wherein access to one or more human machine interface elements is restricted by at least one access restriction mechanism of said apparatus (1) to enhance the operation security of the at least one device (2) connected via said apparatus (1) to said power distribution system (3) and/or to enhance the operation security of the apparatus (1) and/or of the power distribution system (3).
ARC FAULT DETECTION USING MACHINE LEARNING
In aspects of the present disclosure, a circuit interrupter includes a housing, a conductive path, a switch which selectively interrupts the conductive path, sensor(s), memory, and a controller within the housing. The sensor(s) measure electrical characteristic(s) of the conductive path. The memory stores an arc detection program that implements a machine learning model and includes a field-updatable program portion and a non-field-updatable program portion, where the field-updatable program portion includes program parameters used by the non-field-updatable program portion to decide between presence or absence of an arc fault. The controller executes the arc detection program to compute input data for the machine learning model based on the sensor measurements, decide between presence of an arc event or absence of an arc event based on the input data, and cause the switch to interrupt the conductive path when the decision indicates presence of an arc event.
OUTPUT CONTACT FAILURE MONITOR FOR PROTECTION RELAYS IN ELECTRIC POWER SYSTEMS
Output circuit devices for use in electric power systems may include a first output subsystem for transmitting a first signal output via an output port to a component of the electric power system, an input subsystem for receiving and monitoring the first signal output transmitted by the first output subsystem, and a second output subsystem for transmitting another signal output to the component of the electric power system. The second output subsystem is to transmit the signal output in response to an indication from the input subsystem. Intelligent electronic devices (IEDs) and associated methods may include one or more output circuit devices.