Disclosed is a power calculation method of a magnetic circuit. In view of the power problem of a magnetic circuit and the phase problem of a magnetomotive force (MMF) and a magnetic flux in the magnetic circuit, the present disclosure draws a magnetic circuit vector diagram based on an equivalent magnetic circuit vector model, and provides a method for calculating virtual magnetic active power, virtual magnetic reactive power, and virtual magnetic complex power of the magnetic circuit by analyzing the MMF, the magnetic flux, the reluctance, and the magnetic reactance in the magnetic circuit by using the magnetic circuit vector diagram. A mathematical relationship between the virtual magnetic power of the magnetic circuit and the electric power of the corresponding equivalent electric circuit is derived according to a conversion factor between the virtual magnetic power and the electric power, so that the electric power can be directly calculated according to magnetic parameters such as the MMF and the magnetic flux in the magnetic circuit. The power calculation method of the magnetic circuit provided in the present disclosure can calculate and analyze the virtual magnetic power of the magnetic circuit according to the magnetic circuit vectors, so as to calculate the electric power from the magnetic circuit through conversion. The electric power can be solved according to the magnetic circuit vectors directly when the electric vectors are not available to calculate electric power in electromagnetic components.

Techniques for forecasting solar power generation include determining, by a computing device, respective proximity scores for a plurality of measurement devices, wherein the respective proximity scores are based on proximity of the measurement devices to a photovoltaic installation; determining, by the computing device, respective bearing scores for the plurality of measurement devices, wherein the respective bearing scores are based on respective angular offsets between the plurality of measurement devices and an azimuth of the photovoltaic installation; selecting, by the computing device, a first measurement device in the plurality of measurement devices using the respective proximity scores and the respective bearing scores; and predicting, by the computing device, a solar power generation level for the photovoltaic installation based on data obtained from the first measurement device.

Techniques for forecasting solar power generation include determining, by a computing device, respective proximity scores for a plurality of measurement devices, wherein the respective proximity scores are based on proximity of the measurement devices to a photovoltaic installation; determining, by the computing device, respective bearing scores for the plurality of measurement devices, wherein the respective bearing scores are based on respective angular offsets between the plurality of measurement devices and an azimuth of the photovoltaic installation; selecting, by the computing device, a first measurement device in the plurality of measurement devices using the respective proximity scores and the respective bearing scores; and predicting, by the computing device, a solar power generation level for the photovoltaic installation based on data obtained from the first measurement device.

A non-contact electric potential meter system to determine voltage between an AC conductor and a reference potential without direct electrical contact to the conductor. A housing provides a shielded measurement region that excludes other conductors and holds power supply means; an AC voltage sensing mechanism includes a conductive sense plate and an electrical connection to the reference potential. Waveform-sensing electronic circuitry obtains an AC voltage waveform induced by capacitive coupling between the conductor and the conductive sense plate. Capacitance-determining electronic circuitry obtains a scaling factor based on the coupling capacitance formed between the conductor and the conductive sense plate. Signal processing electronic circuitry uses the AC voltage waveform and the coupling capacitance-based scaling factor to obtain the voltage between the conductor and the reference potential.

A non-contact electric potential meter system to determine voltage between an AC conductor and a reference potential without direct electrical contact to the conductor. A housing provides a shielded measurement region that excludes other conductors and holds power supply means; an AC voltage sensing mechanism includes a conductive sense plate and an electrical connection to the reference potential. Waveform-sensing electronic circuitry obtains an AC voltage waveform induced by capacitive coupling between the conductor and the conductive sense plate. Capacitance-determining electronic circuitry obtains a scaling factor based on the coupling capacitance formed between the conductor and the conductive sense plate. Signal processing electronic circuitry uses the AC voltage waveform and the coupling capacitance-based scaling factor to obtain the voltage between the conductor and the reference potential.

A system is provided, which manages, by a microcontroller internal to a fan installed in a server, power data associated with the fan, wherein the fan includes two pins configured to communicate signals based on an inter-integrated circuit (I2C). During operation of the fan, the microcontroller measures a first and second amount of power consumed by the fan at a first and second time. The microcontroller transmits, via the two pins, the information to a system management entity which monitors and manages the server, wherein the system management entity controls a speed of the fan in response to receiving the measured power data and based on a net power comprising a difference between a total amount of power consumed by the server and an amount of power consumed by the fan.

A system is provided, which manages, by a microcontroller internal to a fan installed in a server, power data associated with the fan, wherein the fan includes two pins configured to communicate signals based on an inter-integrated circuit (I2C). During operation of the fan, the microcontroller measures a first and second amount of power consumed by the fan at a first and second time. The microcontroller transmits, via the two pins, the information to a system management entity which monitors and manages the server, wherein the system management entity controls a speed of the fan in response to receiving the measured power data and based on a net power comprising a difference between a total amount of power consumed by the server and an amount of power consumed by the fan.

A surplus power capacity calculation system includes: a measurement unit that measures a total value of electric power supplied from a power supply device to a plurality of ICT devices; and a monitoring device that calculates a surplus power capacity of the power supply device. The monitoring device includes: a calculation unit that acquires the total value and a processing amount of each of the plurality of ICT devices, estimates an increase in power consumption on the basis of the processing amount when each ICT device performs processing with a maximum processing amount, and subtracts a sum of the increase and the total value from a maximum power consumption amount of the power supply device to calculate the surplus power capacity.

A surplus power capacity calculation system includes: a measurement unit that measures a total value of electric power supplied from a power supply device to a plurality of ICT devices; and a monitoring device that calculates a surplus power capacity of the power supply device. The monitoring device includes: a calculation unit that acquires the total value and a processing amount of each of the plurality of ICT devices, estimates an increase in power consumption on the basis of the processing amount when each ICT device performs processing with a maximum processing amount, and subtracts a sum of the increase and the total value from a maximum power consumption amount of the power supply device to calculate the surplus power capacity.

A system includes a processor operatively coupled to memory. The processor performs operations that include obtaining electrical measurements of a power system. The processor determines a scaled energy value of a first set of the electrical measurements that are scaled with respect to a second set of electrical measurements. The processor determines that a potential ringdown event occurred by comparing the scaled energy value to a threshold energy value. The processor determines that the potential ringdown event is a confirmed ringdown event by comparing a scaled error value to a threshold error value. The processor generates one or more mode estimates from the confirmed ringdown event.