An apparatus to determine offset voltage to adjust a fuse current determination including a fuse load circuit structured to determine that no current is demanded for a fuse load, and to further determine that contactors associated with the fuse are open, an offset voltage determination circuit structured to determine an offset voltage corresponding to at least one component in a fuse circuit associated with the fuse, in response to the determining that no current is demanded for the fuse load, and an offset data management circuit structured to store the offset voltage, and to communicate a current calculation offset voltage for use by a controller to determine current flow through the fuse.

Embodiments of the disclosure include a switch having an on-state resistance that varies based on a temperature coefficient of the switch and an overcurrent protection circuit coupled to the switch and having an adjustable overcurrent threshold level determined based on an adjustable voltage generated by the overcurrent protection circuit, the adjustable voltage generated based on the temperature coefficient of the switch.

Embodiments of the disclosure include a switch having an on-state resistance that varies based on a temperature coefficient of the switch and an overcurrent protection circuit coupled to the switch and having an adjustable overcurrent threshold level determined based on an adjustable voltage generated by the overcurrent protection circuit, the adjustable voltage generated based on the temperature coefficient of the switch.

A system is disclosed which eliminates problems caused by surges of electric energy which is generated on a utility customer's property and which is fed back onto a utility-owned service line by maintaining a minimum utility provided percentage (MUPP) of power being provided onto a customer-owned dead-end service line. Where the electric energy generated by a utility customer is incrementally excluded from the customer-owned dead-end service line through a plurality of contactors which are controlled by a 120 volt command line.

The present disclosure relates generally to an overvoltage protection assembly, and an electrode useable in pairs in such an overvoltage protection device. In various aspects, at least one electrode is made from a single piece of conductive source material to ensure its strength, reliability, and ease of manufacture. Still further, the electrode has a specific geometry selected to enhance electromagnetic effects experienced during high voltage, high current overvoltage events in a way that quickly relocates and dissipates an arc formed at a gap between an electrode pair, to ensure repeatable, reliable performance of the overvoltage protection device.

The present disclosure relates generally to an overvoltage protection assembly, and an electrode useable in pairs in such an overvoltage protection device. In various aspects, at least one electrode is made from a single piece of conductive source material to ensure its strength, reliability, and ease of manufacture. Still further, the electrode has a specific geometry selected to enhance electromagnetic effects experienced during high voltage, high current overvoltage events in a way that quickly relocates and dissipates an arc formed at a gap between an electrode pair, to ensure repeatable, reliable performance of the overvoltage protection device.

A system for detecting a fault in electric power conversion equipment having an input stage and an output stage includes an output voltage sensor positioned within the output stage and configured to generate an output voltage signal; an input current sensor positioned at the input stage and configured to generate an input current signal; and a processor configured to analyze the output voltage signal and the input current signal to determine an occurrence of the fault in the electric power conversion equipment.

A circuit breaker comprises a solid-state bidirectional switch, a switch control circuit, current and voltage sensors, and a processor. The solid-state bidirectional switch is connected between a line input terminal and a load output terminal of the circuit breaker, and configured to be placed in a switched-on state and a switched-off state. The switch control circuit control operation of the bidirectional switch. The current sensor is configured to sense a magnitude of current flowing in an electrical path between the line input and load output terminals and generate a current sense signal. The voltage sensor is configured to sense a magnitude of voltage on the electrical path and generate a voltage sense signal. The processor is configured to process the current and voltage sense signals to determine operational status information of the circuit breaker, a fault event, and power usage information of a load connected to the load output terminal.

A circuit breaker comprises a solid-state bidirectional switch, a switch control circuit, current and voltage sensors, and a processor. The solid-state bidirectional switch is connected between a line input terminal and a load output terminal of the circuit breaker, and configured to be placed in a switched-on state and a switched-off state. The switch control circuit control operation of the bidirectional switch. The current sensor is configured to sense a magnitude of current flowing in an electrical path between the line input and load output terminals and generate a current sense signal. The voltage sensor is configured to sense a magnitude of voltage on the electrical path and generate a voltage sense signal. The processor is configured to process the current and voltage sense signals to determine operational status information of the circuit breaker, a fault event, and power usage information of a load connected to the load output terminal.

A fault arc signal detection method using a convolutional neural network, comprising: enabling a sampling signal subjected to analog-digital conversion to respectively pass through three different band-pass filters; respectively extracting a time-domain feature and a frequency-domain feature from a half wave output of each filter; constructing a two-dimensional feature matrix by means of extracted time-frequency feature vectors from the output of each filter, and stacking the feature matrices corresponding the outputs of the three filters to construct a three-dimensional matrix for each half wave; and processing a multi-channel feature matrix by using a multi-channel two-dimensional convolutional neural network, and determining, according to the output result of the neural network, whether the half wave is an arc. The detection method based on the convolutional neural network has higher accuracy and reliability in recognizing a fault arc half wave, can implement targeted training for different load conditions, and is self-adaptive.