According to one aspect of the teachings herein, various feeder connection arrangements and architectures are disclosed, for collecting electricity from wind turbines in an offshore collection grid that operates at a fixed low frequency, e.g., at one third of the targeted utility grid frequency. Embodiments herein detail various feeder arrangements, such as the use of parallel feeder connections and cluster-based feeder arrangements where a centralized substation includes a common step-up transformer for outputting electricity at a stepped-up voltage, for low-frequency transmission to onshore equipment. Further aspects relate to advantageous generation arrangements, e.g., tower-based arrangements, for converting wind power into electrical power using, for example, medium-speed or high-speed gearboxes driving generators having a rated electrical frequency for full-power output in a range from about 50 Hz to about 150 Hz, with subsequent conversion to the fixed low frequency for off-shore collection.

Methods, systems, and computer program products for load profile selection in islanding using batteries are provided herein. A computer-implemented method includes generating a usage pattern model for a battery based on (i) information pertaining to consumers of the battery, (ii) information pertaining to usage of the battery, and (iii) information pertaining to network outages, wherein the network is linked to the battery; selecting a subset of the consumers of the battery to supply energy from the battery, during a network outage, based on (i) the usage pattern model, (ii) the lifespan of the battery, (iii) performance of the network, (iv) historical consumption data attributed to each of the consumers, and (v) a predetermined minimum amount of energy required to be supplied to the consumers during a network outage; and outputting instructions to activate and/or deactivate distribution components within the network based on said selecting.

The present disclosure relates to system and method used to transmit power to a remote location. More specifically, the present disclosure relates to a system and method used to independently energize control and monitoring functions of a remote installation prior to and/or during energizing its main circuit.

Methods for transferring electrical power in the sea include: generating AC power; and guiding, at least partially underwater, the AC power through a cable from a first end of the cable to a second end of the cable. A first reactor is connected near the first end of the cable and a second reactor is connected near the second end of the cable. Inductances of the first reactor and the second reactor are selected to at least partially compensate for reactive power generated in the cable.

Methods for transferring electrical power in the sea include: generating AC power; and guiding, at least partially underwater, the AC power through a cable from a first end of the cable to a second end of the cable. A first reactor is connected near the first end of the cable and a second reactor is connected near the second end of the cable. Inductances of the first reactor and the second reactor are selected to at least partially compensate for reactive power generated in the cable.

Disclosed are a photovoltaic and a charging control method, device and circuit thereof, and a storage medium. The charging control circuit includes: a double-relay circuit and a charging relay circuit, wherein the double-relay circuit is arranged between a grid side circuit and a machine side circuit of the photovoltaic electric appliance; and the charging relay circuit is configured to turn on to realize the gradual charging of a bus capacitor when the double-relay circuit is not turned one. A charging relay circuit is added to an alternating-current power supply side, so that when double relays are not closed, a charging relay can be closed to realize the gradual charging of a bus capacitor.

A code modulator transmits power to at least one code demodulator via a transmission path. The code modulator is provided with: a code modulation circuit to which output power of a power supply is supplied, the code modulation circuit modulating the output power of the power supply to generate a code-modulated wave by code modulation using a modulation code based on a code sequence, and transmitting the code-modulated wave to the code demodulator via the transmission path; and a control circuit that controls the code modulation circuit. The control circuit sets a frequency of the modulation code to a multiple of an output power frequency of the power supply.

A code modulator transmits power to at least one code demodulator via a transmission path. The code modulator is provided with: a code modulation circuit to which output power of a power supply is supplied, the code modulation circuit modulating the output power of the power supply to generate a code-modulated wave by code modulation using a modulation code based on a code sequence, and transmitting the code-modulated wave to the code demodulator via the transmission path; and a control circuit that controls the code modulation circuit. The control circuit sets a frequency of the modulation code to a multiple of an output power frequency of the power supply.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments employ generalized multivariable constrained continuous optimization techniques to determine an optimal control sequence over a future time domain in the presence of any number of costs, savings opportunities (value streams), and constraints. Some embodiments also include control methods that enable infrequent recalculation of the optimal setpoints. Some embodiments may include a battery degradation model that, working in conjunction with the economic optimizer, enables the most economical use of any type of battery. Some embodiments include techniques for load and generation learning and prediction. Some embodiments include consideration of external data, such as weather.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. Some embodiments employ generalized multivariable constrained continuous optimization techniques to determine an optimal control sequence over a future time domain in the presence of any number of costs, savings opportunities (value streams), and constraints. Some embodiments also include control methods that enable infrequent recalculation of the optimal setpoints. Some embodiments may include a battery degradation model that, working in conjunction with the economic optimizer, enables the most economical use of any type of battery. Some embodiments include techniques for load and generation learning and prediction. Some embodiments include consideration of external data, such as weather.