Systems, methods, and non-transitory computer-readable storage media for a fast power network simulator. A system configured per this disclosure can use identify a power network, the power network comprising generators, transmission lines, and loads, and receive a model of the power network. The model of the power network can include: models of the generators modeled as differential equations, and models of the transmission lines and the loads modeled as algebraic equations. The system can convert, via a processor, the algebraic equations of the models of the transmission lines and the loads to additional differential equations, then combine, via the processor, the differential equations and the additional differential equations, to yield combined differential equations. The system can then iteratively solve linear equations, via the processor, associated with the combined differential equations, to yield solutions, and output the solutions as part of a power simulation of the power network.

An apparatus for a system power device utilized in an interconnected power system. The interconnected power system may include multiple system power devices connected to various inter connections of groups of direct currents (DC) from power sources which also may be connected in various series, parallel, series parallel and parallel series combinations for example. The apparatus may include a processor connected to a memory and a communication interface operatively attached to the processor. The communication interface may be adapted to connect to a mobile computing system of a user in close proximity to the system power devices. A graphical user interface (GUI) of the mobile computing system may allow various operational and re-configuration options for the interconnected power system which may include installation, maintenance and monitoring schedules in the interconnected power system when the user of the GUI is in close proximity to the system power devices.

Systems and methods for aggregating and integrating distributed grid element inputs are disclosed. A data platform is provided for a distribution power grid. The data platform provides a crowd-sourced gaming system for identifying grid elements and determining dynamic electric power topology. The data platform also provides an interactive interface for displaying a view of a certain area with identified grid elements. The data platform communicatively connects to the identified grid elements, collects data from the identified grid elements, and manages the distribution power grid.

A charging station includes an alternating current (AC) electrical power input and at least one direct current (DC) electrical power module coupled to the AC electrical power input. The charging station also includes at least one station output having a vehicle DC electrical power output, a communications output, and a dispenser DC electrical power output, the dispenser DC electrical power output being configured to be coupled to at least one dispenser. The charging station further includes a communications hub including at least one communications network connection, the communications hub being configured to receive information relating to an amount of DC electrical power to be delivered to a particular dispenser coupled to the charging station. Further still, the charging station includes a master controller configured to receive the information from the communications hub relating to the amount of DC electrical power to be delivered to the particular dispenser coupled to the charging station and provide a control signal to one of the at least one DC electrical power modules, the control signal being based on the information and being configured to control the amount of DC electrical power sent through one of the at least one DC electrical power modules.

A method for controlling a charge transfer of an electric vehicle using an electric vehicle charging station, a mobile device, and a cloud server is disclosed. The method includes: receiving, at a mobile device, a message for an electric vehicle of a user from the electric vehicle charging station, wherein a user of the mobile device is associated with the electric vehicle to be charged; sending, from the mobile device, the message for the electric vehicle of the user to the cloud server, wherein the charge transfer request relayed from the mobile device includes identification information; in response to a charging control signal being authorized using identification information received from the mobile device, receiving the charging control signal from the cloud server at the mobile device to be forwarded to the electric vehicle charging station, wherein the charging control signal is configured to adjust a charging parameter at the electric vehicle charging station.

Provided is an power and communications network convergence system including wireless base stations, and DC grid groups, each grid group belonging to a cell. Each grid in the grid group has a DC line to which devices including a power generator and a power storage are connected, and performs, based on state information on each device, first control for reducing power fluctuations in the line. A first grid belonging to a cell performs, based on state information on each grid, second control for interchanging power with a second grid belonging to the cell. If a power situation of a first grid group belonging to a first cell and a power situation of a second grid group belonging to a second cell satisfy a preset condition, the first grid group performs third control for interchanging power with the second grid group.

A geothermal reservoir induces gasification and water gas shift reactions to generate hydrogen. The hydrogen or protons are produced to surface by using hydrogen-only or proton-only membranes in production wells. Energy from the reservoir is produced to surface as protons or hydrogen.

A method includes collecting energy resource data for the specific geographic location over a predetermined time period, calculating power curves and matrices for at least two energy technologies based on the collected energy resource data, estimating the potential of generated electric power over time of the at least two energy technologies based on the calculated power curves and matrices, the time period, and the characteristic parameters of each of the at least two energy technologies, simulating different base load and power variations based on the estimation of the potential generated electric power and different distribution of the electric power generation of the at least two energy technologies, identifying an optimal distribution of the at least two energy technologies by analyzing the base load and power variations for each simulation, and choosing the distribution of the electric power generation with the highest base load and lowest power variation.

A vehicle electrical system includes an electrical storage, a first multiphase electrical machine having a plurality of stator windings connected to common neutral point, a first inverter operatively connected to the electrical storage and to the first multiphase electrical machine, wherein the first inverter has a plurality of switch legs with switches, a second multiphase electrical machine having a plurality of stator windings connected to a common neutral point, a second inverter operatively connected to the electrical storage and to the second multiphase electrical machine, wherein the second inverter has a plurality of switch legs with switches, a bidirectional buck-boost DC/DC converter operatively connected to the common neutral point of the first multiphase electrical machine and to the common neutral point of the second multiphase electrical machine and configured for using at least one stator winding of each of the first and second multiphase electrical machines as buck-boost inductance.

A method and an apparatus (400) for performing fault detection, are provided includes: controlling, by a power station management system in a preset photovoltaic module order by using an inverter connected to a current to-be-detected photovoltaic module, the current to-be-detected photovoltaic module to be in a target status, and when determining that the current to-be-detected photovoltaic module is in the target status, controlling a mobile image capturing terminal to collect image data of the current to-be-detected photovoltaic module (S201), where the image data is used to detect a fault status of the current to-be-detected photovoltaic module; and when determining that the mobile image capturing terminal obtains the image data of the current to-be-detected photovoltaic module through collection, continuing, by the power station management system, to control, in the preset photovoltaic module order by using an inverter connected to a next to-be-detected photovoltaic module.