A transformer failure identification and location diagnosis method based on a multi-stage transfer learning theory is provided. Simulation is set up first, a winding parameter of a transformer to be tested is calculated, and a winding equivalent circuit is accordingly built. Different failures are configured for the equivalent circuit, and simulation is performed to obtain a large number of sample data sets. A sweep frequency response test is performed on the transformer to be tested, and detection data sets are obtained. Initial network training is performed on simulation data sets by using the transfer learning method, and the detection data sets are further trained accordingly. A failure support matrix obtained through diagnosis is finally fused. The multi-stage transfer learning theory is provided by the disclosure.

A distribution transformer system includes a distribution transformer and a distribution transformer monitoring (DTM) device secured to the transformer. The DTM device includes multiple sensors, a controller, and a communication interface. The sensors are configured to monitor physical properties of the distribution transformer. Each of the sensors outputs respective sensor data representative of at least one monitored physical property of the distribution transformer. The controller is configured to receive the respective sensor data from each sensor to produce received sensor data. The communications interface is in communication with the controller and configured to communicate the received sensor data to a remote system for use in determining operational parameters of the distribution transformer. In one embodiment, the distribution transformer system further includes a surge arrester associated with the distribution transformer and the DTM device includes a surge arrester sensor configured to monitor the surge arrester and output surge arrester sensor data.

A distribution transformer system includes a distribution transformer and a distribution transformer monitoring (DTM) device secured to the transformer. The DTM device includes multiple sensors, a controller, and a communication interface. The sensors are configured to monitor physical properties of the distribution transformer. Each of the sensors outputs respective sensor data representative of at least one monitored physical property of the distribution transformer. The controller is configured to receive the respective sensor data from each sensor to produce received sensor data. The communications interface is in communication with the controller and configured to communicate the received sensor data to a remote system for use in determining operational parameters of the distribution transformer. In one embodiment, the distribution transformer system further includes a surge arrester associated with the distribution transformer and the DTM device includes a surge arrester sensor configured to monitor the surge arrester and output surge arrester sensor data.

The present disclosure pertains to systems and methods for monitoring a capacitance-coupled voltage transformer (CCVT) in electrical communication with the electric power delivery system, the CCVT comprising a stack of capacitors and an electrical contact to a first ground connection. A first current transformer is disposed between the stack of capacitors and the first ground connection. The current transformer provides an electrical signal corresponding to a current associated with the CCVT. A second transformer is disposed to provide a second electrical signal related to the CCVT. The second signal may be a voltage signal or a current signal. An intelligent electronic device (IED) in electrical communication with the current measurement devices monitors a health factor comprising a ratio of magnitudes or a difference between phases from the transformers at a single frequency. The health factor is compared against an acceptable range and an alarm is generated when the range is exceeded.

The present disclosure pertains to systems and methods for monitoring a capacitance-coupled voltage transformer (CCVT) in electrical communication with the electric power delivery system, the CCVT comprising a stack of capacitors and an electrical contact to a first ground connection. A first current transformer is disposed between the stack of capacitors and the first ground connection. The current transformer provides an electrical signal corresponding to a current associated with the CCVT. A second transformer is disposed to provide a second electrical signal related to the CCVT. The second signal may be a voltage signal or a current signal. An intelligent electronic device (IED) in electrical communication with the current measurement devices monitors a health factor comprising a ratio of magnitudes or a difference between phases from the transformers at a single frequency. The health factor is compared against an acceptable range and an alarm is generated when the range is exceeded.

A rapid pressure rise detection and management system that detects internal pressure changes in a transformer. The rapid pressure rise detection and management system communicates with one or more pressure sensors attached to a tank of the transformer and measures the rate of pressure change versus time. The rapid pressure rise detection and management system then compares this rate of pressure change against a set of parameters to determine if this pressure change is an internal fault requiring the transformer to be taken offline or external fault to be ignored. This rapid pressure rise detection and management system may be a standalone device or work with other monitoring/controlling equipment to expand its sensing and management capabilities.

The disclosure relates to the crossing field between a power transmission of an ultra-high-voltage and a power system simulation, specifically a method for analyzing an operation state of a substation by combining a whole grid model with a local grid model is provided according to the disclosure. The method includes following steps: performing a load flow calculation for the provincial grid to which a ultra-high-voltage line belongs, wherein initial data of the load flow calculation employs a grid model with E format for national power grid dispatching control center; making an equivalent transform for the model, forming an island independently from the provincial grid to which a ultra-high-voltage line belongs, and making a load flow calculation for the island to acquire data of node voltages and line transmission power.

A device for determining an error probability value for a transformer component, including a signal input interface, a processor unit, and a storage unit, wherein the signal input interface is configured for direct or indirect coupling to a measurement system for a power transformer, the measurement system having multiple sensors that are each designed to record a physical and/or chemical property of the power transformer, the power transformer having multiple transformer components, and each sensor being coupled to at least one of the transformer components of the power transformer by way of a respective related direct or indirect connection, wherein the physical and/or chemical property of the power transformer recorded by the respective sensor is influenced by at least one of the transformer components, wherein the signal input interface is configured to receive a status signal of the measurement system, the status signal representing multiple, different status variables.

A device for determining an error probability value for a transformer component, including a signal input interface, a processor unit, and a storage unit, wherein the signal input interface is configured for direct or indirect coupling to a measurement system for a power transformer, the measurement system having multiple sensors that are each designed to record a physical and/or chemical property of the power transformer, the power transformer having multiple transformer components, and each sensor being coupled to at least one of the transformer components of the power transformer by way of a respective related direct or indirect connection, wherein the physical and/or chemical property of the power transformer recorded by the respective sensor is influenced by at least one of the transformer components, wherein the signal input interface is configured to receive a status signal of the measurement system, the status signal representing multiple, different status variables.

Provided is an apparatus for determining an abnormal status of a wireless power transmission coil, the apparatus including an input-current sensor configured to detect an input current and provided at an input side of a power transmission coil, an output-current sensor configured to detect an output current and provided at an output side of the transmission coil, and a controller configured to compare each of the input current and the output current with a predetermined threshold value corresponding thereto to determine whether a disconnection or a short circuit occurs in the transmission coil.