An induction heating device according to and embodiment may include a working coil; an inverter circuit comprising a plurality of switching elements and configured to supply currents to the working coil; a rectifier circuit configured to rectify the voltage supplied from an external power source; a smoothing circuit configured smooth the voltage output from the rectifier circuit; a drive circuit configured to supply a switching signal to each of the switching circuits; a controller configured to supply a control signal for outputting the switching signal to the drive circuit; a shunt resistor connected between the smoothing circuit and the inverter circuit; an input current sensing circuit configured to sense an input current value of the inverter circuit based on a current flowing through the shunt resistor; and a resonance current sensing circuit a resonance current value of the working coil based on the current flowing through the shunt resistor

An induction heating device according to and embodiment may include a working coil; an inverter circuit comprising a plurality of switching elements and configured to supply currents to the working coil; a rectifier circuit configured to rectify the voltage supplied from an external power source; a smoothing circuit configured smooth the voltage output from the rectifier circuit; a drive circuit configured to supply a switching signal to each of the switching circuits; a controller configured to supply a control signal for outputting the switching signal to the drive circuit; a shunt resistor connected between the smoothing circuit and the inverter circuit; an input current sensing circuit configured to sense an input current value of the inverter circuit based on a current flowing through the shunt resistor; and a resonance current sensing circuit a resonance current value of the working coil based on the current flowing through the shunt resistor

A method determines a current flowing through at least one switching element of an electrical circuit arrangement. When the switching element is turned on the current flows through a switchable portion of the switching element. The switching element is associated with a temperature sensor and a voltage sensor. The temperature sensor measures a temperature of the switching element and the voltage sensor measures a voltage drop across the switchable portion of the switching element. The temperature sensor and the voltage sensor are connected to a computing device. The computing device determines a current value of the current based on the measured temperature and the measured voltage drop.

A method determines a current flowing through at least one switching element of an electrical circuit arrangement. When the switching element is turned on the current flows through a switchable portion of the switching element. The switching element is associated with a temperature sensor and a voltage sensor. The temperature sensor measures a temperature of the switching element and the voltage sensor measures a voltage drop across the switchable portion of the switching element. The temperature sensor and the voltage sensor are connected to a computing device. The computing device determines a current value of the current based on the measured temperature and the measured voltage drop.

Systems and methods to test an electric power delivery system include a communication subsystem to transmit test signals to one or more merging units, a test subsystem to transmit a test data stream to the one or more merging units via the communication subsystem, and a processor subsystem to receive looped back data from the one or more merging unit in response to the transmitted test data stream and to determine an operating condition based on the looped back data.

A method and system are provided for anomaly detection in energy systems. Non-contact sensing of an energy system based on electric and magnetic fields uses non-contact electric- and magnetic-field sensors to produce electric- and magnetic-field signals. The electric and magnetic field signals are filtered to remove noise. Features are extracted and normalized from the magnetic and electric field signals to characterize parameters of each signal. Density-based spatial clustering of extracted features is performed using a selected minimum number of points required to form a cluster and a parameter indicating the distance within which data are considered to fall within the cluster. An anomaly is determined from data point(s) that do not fall within the cluster formed by data points in normal operation. The density-based spatial clustering of extracted features may be performed using a Density-Based Spatial Clustering of Application with Noise (DBSCAN) algorithm. Features may be extracted using Fourier analysis.

A computational current sensor, that enhances traditional Kalman filter based current observer techniques, with transient tracking enhancements and an online parasitic parameter identification that enhances overall accuracy during steady state and transient events while guaranteeing convergence. During transient operation (e.g., a voltage droop), a main filter is bypassed with estimated values calculated from a charge balance principle to enhance accuracy while tracking transient current surges of the DC-DC converter. To address the issue of dependency on a precise model parameter information and further improve accuracy, an online identification algorithm is included to track the equivalent parasitic resistance at run-time.

The present disclosure describes systems and techniques that enhance effectiveness and efficiency of a contingency analysis tool that is used for studying the magnitude and likelihood of extreme contingencies and potential cascading events across a power system. The described systems and techniques include deploying the contingency analysis tool in a high-performance computing (HPC) environment and incorporating visual situational awareness approaches to allow power system engineers to quickly and efficiently evaluate multiple power system simulation models. Furthermore, the described systems and techniques include the power system contingency-analysis tool calculating and coordinating protection element settings, as well as assessing controls of the power system using small-signal nomograms, allowing power system engineers to more effectively comprehend, evaluate, and analyze causes and effects of cascading events against a topology of a power system.

An output module for an industrial controller provides electrical isolation between each of the output terminals in the module. The output module receives control signals from the industrial controller indicating a desired output state for each of the output terminals and selectively connects power from the output of the electrical isolation to the output terminal. During normal operation, a switching device connects the power to the output terminal responsive to the control signal. A current sensor monitors the current conducted at the output terminal. If the current exceeds a predefined threshold, a current limit circuit clamps the current being output at the terminal. A control circuit may allow the output terminal to ride through a temporary spike in current or disable the output terminal if a fault condition is detected.

A system for monitoring and analyzing electrical operating parameters of a load (10) in a electric network (20), said system comprising a smart socket (110) arranged to be placed in series between the load (10) and the electric network (20), said smart socket (110) comprising a voltage detection module arranged to measure a voltage value in the electric network (20), as an electric potential difference between the ends of the load (10), a current detection module in the electric network (20) arranged to measure a current value adsorbed by the load (10), when the load (10) is connected to the electric network (20), a control unit connected to the voltage detection module and to the current detection module. In particular, the control unit is arranged to carry out a periodic acquisition of the voltage value in said electric network (20), obtaining a voltage trend over time and a periodic acquisition of the current value adsorbed by the load (10), obtaining a current trend over time. In particular, the control unit comprises a neural network arranged to carry out a training comprising the steps of definition of a number n of events E.sub.i′ association, to each event E.sub.i′ of a number m.sub.i of patterns p.sub.ij of predetermined current and/or voltage trends, extrapolation of characteristic parameters c.sub.ik distinguishing the pattern p.sub.ij associated with the classified event E.sub.i′. The neural network is then arranged to carry out an analysis of the acquired voltage and/or current trend by the definition and the classification of possible anomalous patterns with respect to predetermined voltage and/or current trends.