Systems, methods, and apparatus embodiments for electric power grid and network registration and management of physical and financial settlement for participation of active grid elements in supply and/or curtailment of power. Settlement is provided for grid elements that participate in the electric power grid following initial registration of each grid element with the system, preferably through network-based communication between the grid elements and a coordinator, either in coordination with or outside of an IP-based communications network router. A multiplicity of active grid elements function in the grid for supply capacity, supply and/or load curtailment as supply or capacity, and are compensated through settlement for their functional participation in the electric power grid. Also, messaging related to settlement is managed through a network by a Coordinator using IP messaging for communication with the grid elements, with the energy management system (EMS), and with the utilities, market participants, and/or grid operators.

A charge demand controller device for electric vehicles or the like, preferably for installation with an existing residential electrical control panel, connects between a main switch and the electrical control panel made to operate at a maximum amperage value. The device includes a controller unit that constantly monitors an actual total load current at the input line connector from the main switch, and selectively operates a load switch controlling an electric vehicle supply equipment (EVSE) upon the actual total load current being above or below a trip value being a predetermined safety ratio of the maximum amperage value.

Methods and systems are provided for optimizing the distribution of electrical energy in an electrical power supply system which includes autonomous supply system regions, including the method steps of: receiving input data by at least two dispatcher instances, wherein the input data represents energy intervals which are requested by the autonomous supply system regions; calculating at least one solution of the distribution of electrical energy to the supply system regions by each of the at least two dispatcher instances; selecting one of the calculated solutions for the distribution of electrical energy in the power supply system by a leader election. The disclosed relates to the technical field of distributing electrical energy and can be used, for example, for smart grids.

The present disclosure is directed to a method for controlling a wind turbine using an adjusted aerodynamic performance map. In one embodiment, the method includes monitoring at least one of an actual wind parameter or operating data of the wind turbine using one or more sensors. Further, the method includes determining an adjustment factor for the aerodynamic performance map based, at least in part, on either or both of the measured actual wind parameter or the wind turbine operating data. Moreover, the method includes applying the adjustment factor to a first aerodynamic performance map to obtain an adjusted aerodynamic performance map. Thus, the method also includes controlling the wind turbine based on the adjusted aerodynamic performance map.

A vehicle control device aims to ensure more appropriate self-driving based on circumstances around its own vehicle. The vehicle control device controls an engine and a motor such as to drive the vehicle with changing over between motor drive without operation of the engine and hybrid drive with operation of the engine. In the motor drive in a self-driving mode where the vehicle is driven independently of a driver's accelerating or decelerating operation, the vehicle control device maintains the motor drive when an other vehicle condition is not met, where the other vehicle condition is a condition that any other vehicle is present in a predetermined distance at least either ahead of the own vehicle or behind the own vehicle, while allowing for a shift to the hybrid drive when the other vehicle condition is met.

Systems and methods for intelligent data center power management and energy market disaster recovery comprised of data collection layer, analytics/automation/actions layer, energy markets analysis layer. Plurality of data centers employ the systems and methods comprised of a plurality of Tier 2 data centers that may be running applications, virtual machines and physical computer systems to enable data center and application disaster recovery from utility energy market outages. Systems and methods may be employed to enable application load balancing and data center power load balancing across a plurality of data centers may lead to financial benefits when moving application and power loads from one data center location using power during peak energy hours to another data center location using power during off-peak hours.

The present invention relates to a method for operating a wind power plant in a wake situation, said wind power plant being connected to a power grid, the method comprising the steps of operating the wind power plant in a predetermined power mode of operation, terminating said predetermined power mode of operation, and increasing power generation of the wind power plant to a power level that exceeds an optimized wake power level of the wind power plant, and injecting the increased amount of power into the power grid as a power boost. Thus, the present invention is capable of generating a power boost to an associated power grid, said power boost exceeding the power level normally being available in a wake situation. The present invention further relates to a system for carrying out the method.

A transmitter for wireless energy transmission includes: a transmission device for generating an alternating magnetic field, a determination device for providing a signal which indicates an object in the area of the transmission device, and a control device for limiting the strength of the alternating field on at least three different levels based on the signal.

A method for controlling power in a microgrid that includes power sources, loads and at least one connection to a main grid where a transformer is arranged to transfer electric power between the microgrid and the main grid is disclosed. The method includes: monitoring the power balance within the microgrid; monitoring the transformer, including monitoring the transformer temperature; and detecting a need for overloading the transformer based on the power balance within the microgrid. Especially, the method includes: determining a load profile for the transformer based on the power balance within the microgrid; determining a prognosis of the transformer temperature based on the load profile; and determining a schedule for power control of the microgrid, which determining of a schedule for power control includes analyzing the prognosis of the transformer temperature.

There is provided a power management device including a load current control unit configured to set an upper limit on a load current supplied from a connected feeding device and to control the load current on the basis of the upper limit, and a determination unit configured to, when the load current control unit has reset the upper limit to a higher value, determine if the upper limit has exceeded a current capacity of the feeding device on the basis of a voltage drop level of an input voltage. The load current control unit may reset the upper limit in increments or decrements of a predetermined value, and the load current control unit may, when the determination unit has determined that the upper limit had exceeded the current capacity of the feeding device, control the load current by resetting the upper limit to a value not exceeding the current capacity.