Devices and methods for monitoring and determining alternating current (AC) power system parameters are provided. In some implementations, the device can include a processor; and at least one non-transitory computer-readable medium storing computer-executable instructions for implementing a number of components. The components include a monitor configured to: sense an AC line voltage signal and an AC current voltage signal; filter the AC line voltage signal; calculate average AC line voltage and current values based, at least, on a DC voltage and current values corresponding to the AC line voltage and current signals, respectively; determine fundamental AC line voltage and current signals based, at least, on zero crossings of the respective average AC line voltage value and the average AC line current value; and determine one or more AC power system parameters based, at least, on the fundamental AC line voltage signal and the fundamental AC line current signal.

A load control system for controlling the amount of power delivered from an AC power source to a plurality of electrical load includes a plurality of independent units responsive to a broadcast controller. Each independent unit includes at least one commander and at least one energy controller for controlling at least one of the electrical loads in response to a control signal received from the commander. The independent units are configured and operate independent of each other. The broadcast controller transmits wireless signals to the energy controllers of the independent units. The energy controllers do not respond to control signals received from the commanders of other independent units, but the energy controllers of both independent units respond to the wireless signals transmitted by broadcast controller. The energy controller may operate in different operating modes in response to the wireless signals transmitted by the broadcast controller.

A smart grid for improving the management of a power utility grid is provided. The smart grid as presently disclosed includes using sensors in various portions of the power utility grid, using communications and computing technology to upgrade an electric power grid so that it can operate more efficiently and reliably and support additional services to consumers. The smart grid may include distributed intelligence in the power utility grid (separate from the control center intelligence) including devices that generate data in different sections of the grid, analyze the generated data, and automatically modify the operation of a section of the power grid. Further, the intelligent devices in the power utility grid may cooperate together to analyze and/or control the state of the power grid. Finally, the distributed intelligence may further include distributed storage.

A system includes a control unit having a processor and a communication interface. The communication interface is configured to communicate with one or more charging stations that are electrically coupled to receive electrical power from a power distribution grid and that are configured to selectively charge one or more energy storage devices connected to the charging stations. The processor is configured to generate first control signals for communication by the communication interface to the one or more charging stations to control transfer of reactive and/or active power from the charging stations to the power distribution grid. The control signals are generated based at least in part on a load cycle profile of one or more electric machines electrically coupled to the power distribution grid.

A method of configuring a microgrid including: receiving configuration inputs from an operator, the configuration inputs including an intended bus structure, a plurality of energy resources data, and energy resources priorities; classifying assets and asset groups based on the plurality of energy resources data; and generating a microgrid configuration based on the one or more configuration inputs, the microgrid configuration providing for automatic operation of the microgrid.

A charger information holding unit of a management system holds an identification information item and charging efficiencies of a plurality of chargers for charging an electric vehicle, the identification information item and the charging efficiencies being associated with each other. A communication unit of the management system receives an identification information item on a charger from an electric vehicle connected to the charger, via a network. A creating unit of the management system creates a charging plan for the electric vehicle, based on a required charging amount and a target charging termination time. The creating unit of the management system refers to the charger information holding unit and determines a charging efficiency of the charger connected to the electric vehicle, based on the received identification information item, and creates a charging plan with the charging efficiency of the charger. The communication unit of the management system transmits the created charging plan to the electric vehicle via the network.

A wireless charging control method and a wireless charging system employing the same are provided. The wireless charging control method is applicable for the wireless charging system including a transmitter module and a receiver module and includes steps of: (a) by the transmitter module, when an input power is higher than a threshold power or a component temperature is higher than a threshold temperature, determining a target output power according to the input power or the component temperature; (b) by the transmitter module, modulating information of the target output power into an input electric energy; (c) by the receiver module, receiving and sampling the input electric energy to demodulate the information of the target output power; and (d) by the receiver module, converting the input electric energy into the target output power according to the information of the target output power.

Management methods and systems for energy and charging requests of an electric vehicle charging field are provided. First charging data corresponding to at least one first charging operation is received by a server from each of electric vehicle charging stations in a charging field via a network during a first predetermined period, wherein the charging data includes at least a charging start time, a charging period, and an output power. According to the first charging data corresponding to the at least one first charging operation received from each of the electric vehicle charging stations during the first predetermined period, the server generates an energy prediction data of the charging field in a second predetermined period, wherein the energy prediction data includes at least an energy consumption estimation of the charging field at a specific time point.

A sensory assembly system and method for monitoring power lines. The system comprises a plurality of sensory assemblies each connected to a phase of a power line, each comprising a sensory transceiver that broadcasts a signal comprising a digital representation of a voltage wave and a current wave on a single phase of a power line, and a common assembly comprising a common transceiver for receiving said signal, and a microprocessor for analyzing said signal, and a precision timing device for directing said common transceiver to send signals to each of said sensory assemblies synchronizing sensory assembly readings on a phase of a power line. The microprocessor analyzing timed signals synchronized for a plurality of phases by determining the net real time sum of the current of the plurality of phases to determine ground or neutral current and for determining instantaneous current and voltage between the plurality of phases.

A battery charging system that provides for battery charging optimization, providing a new and improved maximization of efficiencies in battery charging. A battery charging system that controls battery charge time duration and cooling time duration through automation of the battery charging process, acquiring necessary data of the battery charging process in real time, and establishes automatic maintenance notifications. A battery charging system that optimizes battery charger utilization, and optimizes battery charging and discharging duration timing, and avoids premature battery damage.