Techniques for controlling rotor speed of a wind turbine. One technique includes defining a system model describing resonance dynamics of a wind turbine component, such as a wind turbine tower, where the system model has a nonlinear input term, e.g. a periodic forcing term. A transform is applied to the system model to obtain a transformed model for response oscillation amplitude of the wind turbine component, where the transformed model has a linear input term. A wind turbine model describing dynamics of the wind turbine is then defined, and includes the transformed model. A model-based control algorithm, e.g. model predictive control, is applied using the wind turbine model to determine at least one control output, e.g. generator torque, and the control output is used to control rotor speed of the wind turbine.

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.

A method is disclosed for controlling the operating of a consumption appliance by way of a selector switch controlled by an energy saving device connected to a management center. The consumption appliance is kept in its default power mode, until receiving, by the energy saving device, an authentic secured control message sent by the management center. This message includes a command onto the mode in which the consumption appliance has to be switched. A counter is initialized with an initialization value before to be triggered. The consumption appliance is switched in the mode indicated by the command, either until the counter has reached a threshold value, or until receiving another authentic control message. If the counter has reached the threshold value, then the consumption appliance is switched in its default power mode. If another authentic secured control message has been received, then returning to the step of initializing the counter.

An energy optimization system for a building includes a processing circuit configured to generate a user interface including an indication of one or more economic load demand response (energy) operation parameters, one or more first participation hours, and a first load reduction amount for each of the one or more first participation hours. The processing circuit is configured to receive one or more overrides of the one or more first participation hours from the user interface, generate one or more second participation hours, a second load reduction amount for each of the one or more second participation hours, and one or more second equipment loads for the one or more pieces of building equipment based on the received one or more overrides, and operate the one or more pieces of building equipment to affect an environmental condition of the building based on the one or more second equipment loads.

A power plant-connected energy storage system maintains frequency quality of power generated and supplied by a power plant. The system includes an electric energy storage unit that includes two or more batteries of different types and is configured to be charged or discharged to improve frequency quality of power output from the power plant; and a power conditioner configured to control of the power output from the power plant and to control charge and discharge at least one of the two or more batteries in accordance with the control of the power output from the power plant. The two or more batteries include a short cycle battery having a relatively short charge/discharge cycle and a long cycle battery having a relatively long charge/discharge cycle.

The present invention relates to a system and method for monitoring and reducing consumption of electricity with a network of smart sensors connected to either electrical devices and/or lights.

Apparatus control system includes control device controlling operation of apparatuses and portable mobile terminal communicable with the control device. In the control device, control unit controls each apparatus in accordance with control schedule stored in device-side storage unit and control request from the mobile terminal. In the mobile terminal, date and time setting unit sets arbitrary date and time as set date and time. Terminal-side storage unit stores terminal-side schedule in which control contents are associated with control dates and times for each apparatus. Simulation unit simulates operating state of each apparatus assuming that the apparatus is operating at the set date and time set by the date and time setting unit, using the terminal-side schedule. Apparatus state reflection unit outputs control request to the control device to cause the control device to control each apparatus such that the apparatus is in the operating state simulated by the simulation unit.

A virtual power plant is presented. A virtual power plant couples to one or more virtual power plant units that provide power and/or storage of power to a power grid. In some embodiments, a method of operating a virtual power plant includes receiving a request from a requester; determining whether the request can be performed by a set of units; reporting the result to the requester; and if a subsequent execution request is received from the requester, then executing the request.

A system to interrupt the line or supply side power or charged system of any building, appliance, process, and the like, so as to render the system without charge or current output outside of the junction box/enclosure or equipment load supply connection so that emergency first responders or solar/any technician, authorized personnel in any field, system maintenance crew may avoid electrocution, chemical or machine/appliance hazard in the presence of fire, explosion, structural failure/compromise, moisture, flammables, caustics, hazmat, water stream, mist, fogging, physical damage or servicing of the system. The system can be engaged for any anticipated disaster such as fire, hurricane, tornado, earthquake, flood, and the like.

A hybrid machine-learning and simulation-based system provides forecasting for an energy system. The system predicts day-ahead and real-time supply and demand, and prices of energy, and generates inputs to an optimization algorithm performed by an Independent System Operator (ISO) that affects behavior of electricity generators and electricity consumers to improve the economic efficiency of electricity grids, and reduce harmful emissions.