A power system within a battery-powered node includes a primary cell, a secondary cell, and a battery controller. The battery controller includes a constant current source that draws power from the primary cell to charge the secondary cell. The battery-powered node draws power from the secondary cell across a wide range of current levels. When the voltage of the secondary cell drops beneath a minimum voltage level, the constant current source charges the secondary cell and a charging signal is sent to the battery-powered node. When the voltage of the second cell exceeds a maximum voltage level, the constant current source stops charging the secondary cell and the charging signal is terminated. The battery-powered node records the amount of time the charging signal is active and then determines a battery depletion level based on that amount of time. Battery replacement may then be efficiently scheduled based on the depletion level.

A line module for use in a network device includes a plurality of circuits; and a power module connected to the plurality of circuits, and to a first Power Distribution Unit (PDU) and a second PDU, wherein the first PDU and the second PDU provide power distribution by different feeds, wherein the power module is configured to initiate a shutdown procedure when one or more of i) a current drawn from any feed equals or exceeds a first current threshold, and ii) an aggregate current drawn from all feeds equal or exceeds a second current threshold.

A method for determining when a connection of a power system to a grid has been disconnected. The method includes the power system supplying a first amount of reactive power to the grid to which the power system is connected, and the power system determining if there is a frequency change within the grid. This includes if the frequency change does not exceed a predetermined threshold, the power system supplying a second amount of reactive power to the grid, and if the frequency exceeds a predetermined threshold, the power system supplying a first amount of reactive power to the grid.

An equipment management system comprises a first database configured to store equipment information about an equipment, a second database configured to store user information about a user, and a controller configured to collect the equipment information from a control apparatus controlling the equipment. The controller is configured to allow access to the first database from the control apparatus. The controller is configured to prohibit access to the second database from the control apparatus.

The present disclosure is directed to systems and methods for economically optimal control of an electrical system. A two-stage controller includes an optimizer and a high speed controller to effectuate a change to one or more components of the electrical system. The high speed controller receives a set of control parameters for an upcoming extended time period. The control parameters include a plurality of bounds for an adjusted net power of the electrical system. The high speed controller sets an energy storage system command control variable (ESS command) based on a state of adjusted net power of the electrical system and the set of control parameters.

This application provides a method and apparatus for obtaining location information of a controller. The method includes: obtaining, by an inverter, signal feature information of each photovoltaic unit in a high-voltage direct current string, where the signal feature information of a photovoltaic unit includes a communication identifier of the photovoltaic unit and a signal feature of another photovoltaic unit, and the photovoltaic unit includes one controller and at least one photovoltaic module; determining an installation sequence of the photovoltaic units based on signal feature information of the photovoltaic units; and determining relative installation location information of each photovoltaic unit based on relative installation location information of a target photovoltaic unit in the high-voltage direct current string and the installation sequence of the photovoltaic units, where the target photovoltaic unit is at least one photovoltaic unit in the high-voltage direct current string.

A vehicle includes a battery, an electric power acquirer, a relay, a pre-charge relay, a power supply unit, and a controller. The controller performs a control of electric power transmission through a power line of the vehicle. The controller executes pre-charge processing on a request for operation of the power supply unit, with the relay being in a disconnected state, and with the electric power acquirer being available for electric power acquisition. The pre-charge processing includes raising a voltage of the power line by switching the pre-charge relay. The controller causes a transition of a mode of the electric power transmission to a direct transmission mode. The direct transmission mode includes transmitting electric power acquired by the electric power acquirer to the power supply unit.

A power distribution system comprises a first Smart Meter device for metering the power absorbed or yielded by a domestic utility, in which said first Smart Meter device is connected to a power distribution grid and dialogs in real time with other Smart Meters connected to other domestic utilities, in which said other Smart Meters are connected to the same power grid of said first Smart Meter device, in which said power distribution system is provided with multiple and comprehensive interconnections which connect said first Smart Meter device to the other Smart Meter nodes so as to form a network, in which the information on the energy production and consumption status of the network is available in each Smart Meter node of the network at all times, thus allowing the information on the energy status of the network to be instantaneously available to an operator of the power grid by querying a single Smart Meter among those present in the network.

A method for forecasting wind power output of a target wind farm. The method includes normalizing, wind power output data for each wind farm of a group of wind farms, based, at least in part, on a respective installed capacity; transforming, the normalized power output data to yield transformed normalized wind power output data. Fitting, by the temporal module, each temporal model of at least one temporal model to model input data for each wind farm. The model input data corresponds to normalized wind power output data or transformed normalized wind power output data. The method further includes fitting, by a spatial module, a DVINE copula model for the group of wind farms, based, at least in part, on at least one residual value. Each residual value is determined based, at least in part on a selected fitted temporal model for each wind farm in the group.

There is provided a system for assigning power to a plurality of smart appliances. The system includes a plurality of smart outlet assemblies. Each of the smart outlet assemblies is paired to and in electrical communication with a respective one of the smart appliances. The system includes at least one smart breaker assembly in electrical communication with the smart outlet assemblies. The system includes a master server in communication with the smart breaker assembly. The system includes distributed databases used to exchange data among the smart outlet assemblies, the smart breaker assembly, and the master server. The master server selectively assign power to respective ones of the smart appliances via the smart breaker assembly based on the data. If the master server is unreachable, the smart breaker assembly is configured to selectively assign power to the smart appliances based on the data records.