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: transmitting, from the electric vehicle charging station, a message regarding an electric vehicle to the mobile device; relaying, from the mobile device, the message regarding the electric vehicle to the cloud server, wherein the message relayed from the mobile device includes identification information and credit account information; authorizing a charging control signal using the identification information and credit account information received from the mobile device; receiving the charging control signal from the cloud server via the mobile device over a single networked link at the electric vehicle charging station, wherein the charging control signal is configured to adjust a parameter used to draw electric power from the electric vehicle charging station; and adjusting the charge transfer based on the adjusted parameter.

The invention relates to a method for controlling a wind park comprising several wind power installations to feed electrical power into an electrical AC grid at a point of common coupling (PCC). The method comprises feeding a 3-phase current at a point of common coupling, identifying a grid voltage on the point of common coupling, comparing the grid voltage that was identified on point of common coupling with at least one predetermined set point value, determining set point values for wind power installations depending on a comparison conducted to meet a stability criterion on point of common coupling, passing the determined set point values to plant control units of the individual wind power installations, and producing electrical current at each of the wind power installations depending on the predetermined set point values to be jointly fed in on point of common coupling.

A method of reserving an electric vehicle charging station is disclosed. The method includes: providing an electric vehicle charging station with one or more charging slots, wherein the electric vehicle charging station is configured to receive and manage reservations for the charging slots at the electric vehicle charging station; sending, from a mobile device, a charge transfer request for an electric vehicle of a first user over a network link to a cloud server, wherein the charge transfer request from the mobile device includes identification information and credit account information; authorizing the charge transfer request received at the cloud server using the identification information and credit account information received from the mobile device; and charging the electric vehicle of the first user in a first charging slot at the electric vehicle charging station for a first charging session.

A system for shifting energy demand from on-peak time windows to off-peak time windows by using hot water heater load shifting, while providing the end user with the level of service (i.e., availability of hot water) according to the user's customary use described by service quality criteria. The shift is accomplished by a controller located at the end user establishment and in communication with a central control server. The controller monitors local water heater temperature and controls heating elements in accordance with a demand shift process commanded by the central control server. The controller may determine usage and remaining capacity for reporting back to the central control server. A volumetric capacity and usage determination is disclosed. The control server may select water heaters according to use and/or capacity. Further embodiments may regulate load dependent properties of the power including voltage, phase and/or frequency.

The present invention relates to a system for dynamic pitch control primarily for wind turbine blades, which system calculates the pitch position of the wind turbine blades independently, which control system performs feedback regulation. The object of the pending patent application is to perform effective pitch regulation and hereby to reduce thrust on the tower and the rotor. This can be achieved if the system performs feed forward regulation of the pitch of the blades, based on the load of the previous blade in substantially the same position. Hereby it can be achieved that the actual load on the previous blade has passed the same position in relation to the wind blowing around the wind turbine. Hereby it can be achieved that measured parameters are used after a short delay to perform a very precise and highly efficient adjustment of the next wind turbine blade passing the same position. The feed forward regulation can be combined with already existing control parameters for pitch control of wind turbine blades.

Described is a system for reducing the probability of large-scale failures in a transmission network. Tripped or damaged transmission lines in a transmission network are identified following a cascading failure. After each cascading failure, a subset of transmission lines is updated according to a specified rule to alter long-term dynamics of the transmission network such that the transmission network does not converge into a critical state.

A system to provide a multi-function connection capability to contain and provide for stacking, mounting self-registering Multi-Function Junction (MF/J) boxes that contain a multiplicity of control electronics and can be stacked, removed, replaced, and/or upgraded with a minimal of steps or connection processes in order to simplify methods and conserve on or add value, capabilities to materials and electrical/mechanical equipment. The system can be engaged or utilized by any EMS/First Responder/Service Technician, authorized personnel in any field, Contractor, manufacturer, BOS integrator and any assembler of systems that require a multiplicity of interfacing devices to be in proximity, connection or contact to each other.

The purpose of the present invention is to further improve the accuracy of position control of a machine apparatus. A control device for a machine apparatus is equipped with: a speed control unit for calculating a torque command for the machine apparatus; a friction estimation unit for calculating an estimated value of the friction force produced by the machine apparatus; an amplitude phase adjustment unit for calculating a corrected friction value by multiplying the proportional gain by the friction force estimated by the friction estimation unit; and a correction unit for correcting the torque command by using the corrected friction value calculated by the amplitude phase adjustment unit. Furthermore, the proportional gain is determined on the basis of the gain properties of the transfer function of the machine apparatus from the position command to the position deviation.

A method for controlling charging and discharging of an electric vehicle, the method comprising: first, analyzing information such as the battery status and the history default rate of electric vehicles applying for joining a power-grid charging and discharging service, and screening out an electric vehicle that can participate in the charging and discharging service for electric vehicles in the future; then, determining an optimal combination state of a generator set and the electric vehicle by using a method of electric energy transmission cost comparison; and further monitoring in real time the status of the electric vehicle during charging and discharging, and performing real-time power control on the electric vehicle, whereby an electric vehicle aggregator not only can meet the requirements on the charging and discharging service of the power system, but also can implement energy management and real-time control of the electric vehicles during charging and discharging, thereby reducing the effect of charging and discharging on the vehicle-mounted power battery.

A method for characterizing buildings, including retrieving a plurality of baseline energy use data sets for the buildings from a baseline data stores; generating energy use data sets for each of the buildings, each of the energy use data sets comprising energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each of the sets are shifted by one of a plurality of lag values relative to the corresponding time and outside temperature values, and where each of the plurality of lag values is different from other ones of the plurality of lag values; performing a regression analysis on the each of the plurality of energy use data sets to yield corresponding regression model parameters and a corresponding residual; determining a least valued residual from all residuals yielded by the regression engine, the least valued residual indicating a corresponding energy lag for the each of the buildings; and categorizing the buildings into types according to similar energy lags.