A power supply system includes at least one group of power supply modules. The power supply module includes a first string, a first residual current detection circuit, an inverter circuit, and a first controller. The first residual current detection circuit is connected between the first string and an input end of the inverter circuit, and an output end of the inverter circuit is connected to an alternating current power grid. When a first residual current value detected by the first residual current detection circuit is greater than a first preset residual current threshold, the first controller controls the first string to be disconnected from the inverter circuit, or controls the inverter circuit to be disconnected from the alternating current power grid.

This invention relates to a device for controlling at least one of a plurality of electrical loads that are being supplied by at least one renewable energy generator and/or an electrical mains supply. The device comprises an energy sensor for measuring an energy parameter, wherein the energy parameter equates to a value representative of the amount of energy output by the energy sensor, the energy parameter of the energy sensor being directly proportional to the output of the at least one renewable energy generator; a controller means for determining the amount of electrical loads that can be connected or disconnected on the basis of the measured energy parameter; a switching device for connecting and disconnecting the at least one electrical load based on an output of the controller means; and wherein as the energy parameter varies the output of the controller means varies to connect and disconnect electrical loads.

Disclosed are an abnormality diagnosis method and apparatus for photovoltaic power generation, a computer device and a storage medium. The method comprises acquiring operation data of a photovoltaic station, generating a photovoltaic power generation capacity prediction model by training a preset neural network based on the operation data of the photovoltaic station; determining an abnormal photovoltaic station by performing daily power generation capacity fluctuation evaluation and power generation efficiency evaluation on a plurality of photovoltaic stations using the photovoltaic power generation capacity prediction model; and generating a diagnosis result of the photovoltaic power generation abnormality by comparing the operation data corresponding to the abnormal photovoltaic station with an abnormality condition. According to the method, accurate evaluation of a photovoltaic power generation operation situation and accurate determining of the photovoltaic power generation abnormality are realized, and a brand new perspective is provided for operation management of the photovoltaic station.

Devices, systems, and techniques are described that relate to the monitoring of various types of components in industrial systems. These include battery-less monitors that run on power harvested from their environments, systems for acquiring monitor data for the components in a facility, and/or techniques for processing monitor data to reliably determine the status of individual components and other system parameters.

In a power supply system, a power supply device supplies alternating current power from a vehicle to a load when the vehicle is connected to the power supply device. A first electromagnetic switch can switch between electrically connecting and disconnecting an earth leakage breaker to and from an overcurrent breaker. A second electromagnetic switch can switch between electrically connecting and disconnecting the first electromagnetic switch to and from the power supply device, and can switch between electrically connecting and disconnecting the overcurrent breaker to and from the power supply device. An ammeter measures a current value between the overcurrent breaker and the load. The power supply system closes the first electromagnetic switch and opens the second electromagnetic switch when the vehicle is connected to the power supply device and a measured value from the ammeter is greater than a threshold .

Provided is a switching circuit capable of suppressing a decrease in output power even if the power generated by a plurality of DC-power supply circuits changes, and a DC-power output apparatus, a wireless-power transfer system and a solar-power generation system having the switching circuit. A connection circuit section of the switching circuit, which is disposed between a plurality of plus-input sections and a plurality of minus-input sections, and a plus-output section and a minus-output section, has a plurality of switches capable of respectively controlling a turn on/off so as to switch connection states between the plurality of the DC-power supply circuits, and the plus-output section and the minus-output section.

Provided are a photovoltaic system and a control method. The system comprises: a conversion circuit, a power taking circuit, a trip switch, a switching power supply and a controller. The trip switch is connected between the conversion circuit and an input end of a converter. The power taking circuit is configured to take power from at least one photovoltaic module string and supply power to the switching power supply. The switching power supply is configured to supply power to the controller and the trip switch when the power taking circuit provides power normally. The controller is configured to, when a photovoltaic module string has a fault, at least disconnect the trip switch corresponding to the fault photovoltaic module string, to disconnect connection between the faulty photovoltaic string and the conversion circuit.

An electrolysis system has at least two electrolysis installations, a power supply source with a direct voltage output, and a central supply line connected to the direct voltage output. A direct current, at a first direct voltage, can be fed into the central supply line. The electrolysis installations are connected electrically in parallel to the central supply line. For a direct voltage supply from the public power grid a central voltage source converter converts an input-side alternating voltage into the output-side first direct voltage at a direct voltage output. Each electrolysis installation is connected via a DC/DC converter that converts the first direct voltage into a second direct voltage, parallel to the direct voltage output so that the second direct voltage drops across the electrolysis installation. Each of the DC/DC converters can be controlled and/or regulated for adapting a level of its second direct voltage.

The techniques disclosed herein enable systems to optimize generation and dispatch of renewable energies using data-driven models. In many contexts, a renewable energy system is collocated with a local consumer such as a datacenter, a smart building, and so forth. The objective of the renewable energy system is to meet local power needs while participating in various energy markets of differing trading frequencies. To optimally manage the renewable energy system, a data-driven model is configured to analyze current conditions and generate policies to control renewable energy system operations. For instance, the model can retrieve current market prices, generation capacity, costs associated with generating energy, and so forth. Based on the collected information, the model can generate a policy that maximizes revenue obtained by the renewable energy system while meeting local demand. Through many iterations, the model can determine a realistically optimal policy for managing the renewable energy system.

A building energy system includes equipment configured to consume, store, or discharge one or more energy resources purchased from a utility supplier. At least one of the energy resources is subject to a demand charge. The system further includes a controller configured to determine an optimal allocation of the energy resources across the equipment over a demand charge period. The controller includes a stochastic optimizer configured to obtain representative loads and rates for the building or campus for each of a plurality of scenarios, generate a first objective function comprising a cost of purchasing the energy resources over a portion of the demand charge period, and perform a first optimization to determine a peak demand target for the optimal allocation of the energy resources. The peak demand target minimizes a risk attribute of the first objective function over the plurality of the scenarios.