G01R19/16547

SYSTEM AND METHOD FOR CONTROLLING SOLAR PHOTOVOLTAIC POWER GENERATION ON BASIS OF MACHINE LEARNING
20220029423 · 2022-01-27 ·

The present invention are a system and a method for controlling solar photovoltaic power generation on the basis of machine learning, the system comprising: solar photovoltaic modules; node control units for switching off a connected solar photovoltaic module when measured current, voltage and power data do not satisfy control data; a gateway unit for storing measured data; a real-time control module for classifying, comparing and analyzing data and storing same, and transmitting a control command to the gateway unit; and machine learning for monitoring a device and data, learning on the basis of machine learning, and extracting functional data required for controlling solar photovoltaic power generation so as to provide control service data according to the result of performed modeling.

Method for controlling a charging device of a vehicle and charging device of a vehicle for charging an electrical energy storage device of the vehicle

A method for controlling a charging apparatus of a vehicle, in particular an electric or hybrid vehicle, wherein the charging apparatus has a charging device including a protection and monitoring device. The vehicle includes a high-voltage on-board power system and an electrical energy storage apparatus connected to the high-voltage on-board power system. The method includes electrically connecting the high-voltage on-board power system to charging connections of an energy supply system by the charging apparatus. The charging connections include a neutral conductor, a protective conductor and at least one phase conductor. A protective conductor resistance is detected between the neutral conductor and the protective conductor by feeding in a test current by the protection and monitoring device. A frequency of the test current is filtered out of the compensation frequency range on a narrowband basis.

Capacitance-coupled voltage transformer monitoring

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 current transformer is disposed between a primary winding of a step-down transformer associated with the CCVT and a second ground connection. An intelligent electronic device (IED) in electrical communication with the current measurement devices monitors a ratio of magnitudes from the current transformers at a single frequency. The ratio is compared against an acceptable range. When the ratio exceeds the acceptable range, an alarm is generated.

GRID-TIED VARIABLE FREQUENCY FACILITY

A micro grid system comprises a secondary energy source and a power controller. The secondary energy source is associated with the micro grid, and the secondary energy source is configured to generate first DC power signal. The power controller is in communication with the secondary energy source and an electric grid, and configured to receive first AC power signal from the electric grid and the first DC power signal from the secondary energy source and to output a second AC power signal to loads in communication with the power controller. The power controller comprises a frequency converter configured to change frequency of the second AC power signal, a processor, and a memory configured to store instructions that, when executed, cause the processor to control the frequency converter to change the frequency of the second AC power signal.

METHOD AND APPARATUS FOR IDENTIFYING A GRID FAULT
20220018886 · 2022-01-20 ·

A method and apparatus for identifying a fault in an alternating current electrical grid is provided.

METHOD AND ARRANGEMENT FOR PERFORMING A SHUTDOWN TEST ON AN INVERTER

In order to be able to perform a shutdown test on an inverter with little expenditure, a trigger signal is modulated to the AC current or the AC voltage at a first moment, and the inverter is used at a second moment, which occurs a defined duration after the start of the trigger signal at the first moment, to generate an AC current or an AC voltage with a fault signal that is detected by the inverter and which triggers a shutdown of the inverter, and the shutdown moment of the AC current or the AC voltage is determined. A shutdown duration of the inverter is determined from the difference between the shutdown moment and the second moment.

ELECTRICAL FAULT DETECTION DEVICE AND VEHICLE POWER SUPPLY SYSTEM
20220011377 · 2022-01-13 ·

In first coupling capacitor, a first terminal is connected to a first connection point on a current path of power storage in a state of being insulated from a ground. Second coupling capacitor has a second terminal connected to a second connection point that is on a current path of power storage and is lower in potential than the first connection point, and second coupling capacitor has a first terminal connected to a second terminal of first coupling capacitor. AC output unit applies a predetermined AC voltage via impedance element to third connection point between the second terminal of first coupling capacitor and the first terminal of second coupling capacitor. Voltage measurement unit measures a voltage at third connection point. Determination unit determines the presence or absence of an electrical fault on the basis of the voltage measured by voltage measurement unit.

USB INTERFACE DETECTION MODULE
20220011382 · 2022-01-13 ·

A USB interface detection module includes a detection unit and an adapting device. The adapting device is electrically connected between a first electronic device and a second electronic device. According to the interface specification of the first electronic device, the voltage value of a configuration channel pin is changeable through the use of the GND_DRAIN pin and the switching action of a field-effect transistor switch. Consequently, the interface specification of the first electronic device is acquired by the second electronic device.

System for detecting a drop in voltage of an AC power supply
11175317 · 2021-11-16 · ·

A device for detecting a drop in voltage of an AC supply delivering electrical energy to an energy converter in order to supply electrical equipment, the device being connected to an electrical energy reserve for supplying the energy converter. The device includes a full-wave rectifier for rectifying the AC supply, a comparator that compares a first predetermined voltage with a full-wave rectified voltage, a circuit for charging a capacitor in order to charge the capacitor when the rectified voltage is below the predetermined threshold, a circuit for discharging the capacitor in order to discharge the capacitor when the rectified voltage is above the predetermined threshold, a comparator for comparing the voltage at the terminals of the capacitor with a second predetermined voltage, and a circuit for controlling the reserve of electrical energy.

Method for identifying the type of a grid automatically and inverter device thereof

A method for identifying type of a grid automatically and an inverter device thereof are provided. The inverter device comprises a power line L1, a power line L2, a neutral line N and a ground line electrically connectable to a first power line, a second power line, a neutral line and a ground line of the grid, respectively. The method comprises: sampling at least two of voltages between L1 and L2, between L1 to N and between L2 to N when the two neutral lines are connected, and identifying the type of the grid based on the sampling result; and sampling the voltage between L1 and L2 when the two neutral lines are not connected, sampling at least one of a voltage between L1 and GND and between L2 and GND with cooperation of a grid-connected switching unit, and identifying the type of the grid based on the sampling results.