A time delay through a voltage converter, including a transformer therein, must be known or estimated in order to optimally control the voltage converter. For example, power switches that control the input power to the voltage converter must use this time delay in order to, e.g., achieve zero-voltage switching (ZVS) with minimal dead-time. The time delays are typically considered as constants, and the power switch control is optimized for a limited operational range that corresponds to such constant time delays. Herein, variable time delays are determined based upon varying load conditions of the voltage converter. By more accurately determining the time delay for a given load condition and basing the voltage converter control on such accurate (load-dependent) time delays, the voltage converter may be more optimally controlled and achieve higher efficiency.

A transformer monitoring apparatus based on non-electricity comprehensive characteristic information includes a transient oil pressure characteristic measuring module, a transient oil flow characteristic measuring module, a transient acceleration characteristic measuring module, a signal conditioning and acquiring module, and a digital processing and analyzing module; the transient oil pressure characteristic measuring module, the transient oil flow characteristic measuring module, and the transient acceleration characteristic measuring module are each connected to the signal conditioning and acquiring module, and the signal conditioning and acquiring module is connected to the digital processing and analyzing module. A transformer monitoring method based on non-electricity comprehensive characteristic information is also provided. The apparatus and method calculate an operating oil pressure, an operating oil flow, and an operating acceleration, which characterize a running state of the transformer, by comprehensively using information of a plurality of non-electricity transient characteristics in the transformer.

A transformer monitoring apparatus based on non-electricity comprehensive characteristic information includes a transient oil pressure characteristic measuring module, a transient oil flow characteristic measuring module, a transient acceleration characteristic measuring module, a signal conditioning and acquiring module, and a digital processing and analyzing module; the transient oil pressure characteristic measuring module, the transient oil flow characteristic measuring module, and the transient acceleration characteristic measuring module are each connected to the signal conditioning and acquiring module, and the signal conditioning and acquiring module is connected to the digital processing and analyzing module. A transformer monitoring method based on non-electricity comprehensive characteristic information is also provided. The apparatus and method calculate an operating oil pressure, an operating oil flow, and an operating acceleration, which characterize a running state of the transformer, by comprehensively using information of a plurality of non-electricity transient characteristics in the transformer.

A testing container includes a right-parallelepiped-like container, electrical components of a transformer test system which are arranged in the container and which represent a respective heat source during a testing operation, and a cooling system including at least one heat exchanger. In addition, the testing container includes a movement apparatus configured to move the at least one heat exchanger from a transport position within the container into a working position which is located at least partially outside the container. Thus, the at least one heat exchanger is movable by means of the movement apparatus from the transport position within the container into the working position which is located at least partially outside the container.

Certain embodiments may generally relate to a smart fault detection device for power grids, and a method of fault detection for power grids. A method may include receiving raw data samples of currents in grounding conductors and line conductors. The method may also include processing the raw data samples under at least one of a plurality of system operating modes. The method may also include monitoring normal operation and anticipating an impending fault while operating under at least one of the system operating modes. The method may further include extracting fault information based on the monitoring. The method may also include reporting the fault information to a supervisory control and data acquisition system human-machine interface. The method may further include anticipating faults based on an analysis of the raw data samples.

A device and a method for monitoring and analysis utilize unintended electromagnetic emissions of electrically powered components, devices or systems. The emissions are received at the antenna and a receiver. A processor processes and measures change or changes in a signature of the unintended electromagnetic emissions. The measurement are analyzed to both record a baseline score for future measurements and to be used in determining status and/or health of the analyzed system or component.

The present disclosure is a transformer monitoring system that has a transformer monitoring device that reads a measurement on at least one node of a transformer. Additionally, the system has a processor that analyzes the measurement and compares the measurement to a threshold value. In addition, the processor transmits an alert to utility personnel if the comparison indicates that the system is not operating properly.

A differential protection method for generating a fault signal includes measuring current measurements at least at two different measuring points of a multiphase transformer for each phase. The current measurements for each phase are used to form differential current values and stabilization values. The fault signal is generated if it is determined during a trigger region check that a measurement pair of at least one of the phases, being formed by using one of the differential current values and the associated stabilization value in each case, is in a predefined trigger region. In order to be able to selectively and reliably distinguish an external fault from an internal fault, the transformer has a grounded star point and a zero system current flowing through the star point is used to form the stabilization values. A corresponding differential protection device is provided for performing the differential protection method.

Systems and methods of detecting failures in an assembly that uses a variable differential transformer sensor. In one embodiment, a signal processor receives an excitation signal applied to the sensor, and detects a zero-crossing of the excitation signal. The signal processor receives an output signal of the variable differential transformer sensor in response to the excitation signal, and detects a zero-crossing of the output signal. The signal processor detects a fault in the assembly responsive to a determination that the zero-crossing of the output signal is separated from the zero-crossing of the excitation signal by more than the detection threshold.

A system for testing a traction block, such as a railway traction block, includes two zones that are physically separated from one another, an operational zone located in a container and divided into at least two parts. One part is a command part accessible by an operator during testing, and the other part is a high-voltage part inaccessible during testing. The system also includes a test zone located outside the container, and configured to receive the traction block to be tested. The test zone is able to be supplied with electricity during the test by the operational zone using dedicated connections.