The present disclosure is directed to a method for controlling a wind turbine having a rotor with a plurality of rotor blades mounted thereto based on a spatial wind speed distribution. The method includes monitoring, via at least one sensor, one or more operating conditions of the wind turbine. The method also includes determining a rotor azimuth angle of the wind turbine. In addition, the method includes determining, via a physics-based model, at least one individual wind speed for one or more of the rotor blades of the wind turbine based on the one or more operating conditions and the rotor azimuth angle. The method also includes determining a spatial wind speed distribution of the wind turbine based on the at least one individual wind speed. Thus, the method further includes controlling the wind turbine based on the spatial wind speed distribution.

System and method for the distributed control and management of a microgrid. The system comprises a plurality of intelligent devices in communication through a network with a data model unit for storing global parameters of the microgrid, an input profile generator module and an exchange manager module. When a global parameter is updated in a data model unit, it is replicated in every data model unit. A first set of intelligent devices is associated and in communication with different power devices of the microgrid, the data model units collecting data monitored by the power device and the input profile generator module iteratively calculating an available range of power that the power device can produce or consume. The exchange manager module iteratively calculates power exchanges between different power devices of the microgrid considering the available ranges of power of the power devices and at least one input parameter.

An electric/thermal energy storage schedule optimizing device is provided. The electric/thermal energy storage schedule optimizing device includes a predicting unit setting predicted values of a consumed energy or a supplying energy of a plurality of control-target devices. The electric/thermal energy storage schedule optimizing device also includes a start-stop optimizing unit creating start-stop schedules of the plurality of control-target devices based on the predicted values set by the predicting unit.

The present disclosure allows estimation of a future power demand with high precision based on power consumptions in the past. An energy management device 10 according to the present disclosure includes a communicator 111 configured to acquire information regarding a power consumption and a controller 112 configured to calculate a targeted range of a future estimated power demand to be notified to a power company based on the information regarding the power consumption. The controller 112 calculates, for each predetermined time limit, the targeted range based on statistics of the power consumptions acquired over a predetermined number of days.

A system and method for managing an electrical distribution system in a facility is disclosed. In one aspect, the method may include receiving at a computer system from a monitoring system data related to actual energy use of components of the electrical distribution system, receiving at the computer system a request for a modification to the electrical distribution system, using the computer system, providing a revised electrical distribution system design based on the request and the data related to actual energy use using a system optimization function for the electrical distribution system, modifying the electrical distribution system in accordance with the revised electrical distribution system design to provide a modified electrical distribution system in the facility, and receiving at the computer system from the monitoring system data related to actual energy use of components of the modified electrical distribution system.

Methods and arrangements for managing electricity generation in a distributed electricity generation system. A plurality of data inputs are received comprising: a sensed state of a power grid; a sensed state of local energy storage; and a sensed demand of a local electricity load. The data inputs are combined, and, based on the combined data inputs, there is determined a destination of electricity that is generated in the distributed electricity generation system. The at least one destination is selected from the group consisting of: a local electricity load, the power grid, and the local energy storage. Other variants and embodiments are broadly contemplated herein.

A method of rule-based register checking for a digital voltage regulator controller includes: defining register settings for the digital voltage regulator via a GUI (graphical user interface) based controller parameter configuration system; accessing a rule-based checker by the GUI based configuration system to check for rule violations in the register settings; and uploading the register settings from the GUI based configuration system to the digital voltage regulator controller after checking the register settings for rule violations. A non-transitory computer readable medium storing a computer program operable to implement the rule-based register checking is also provided.

A novel power allocation method, as early as in the procurement of electricity, takes account of network congestion and simultaneously enables logical and physical separation of network control and power allocation. An allocation component and a network monitoring component separately from one another detect tasks relating to the allocation of power and via predetermined interfaces exchange information or intermediate states relating to the allocation before the allocation is actually implemented for power control. This enables adaptive power control of power sources and consumer units and the flexible implementation of a plurality of requirements of a modern power distribution network.

A method for dispatching buildings in a demand response program event including generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set 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 each set to yield regression model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.

A method for dispatching buildings in a demand response program event including retrieving a plurality of baseline energy use data sets for the buildings from a baseline data stores; generating data sets for each of the buildings, each set having energy consumption values along with corresponding time and outside temperature values, where the energy consumption values within each set 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 each set to yield regression model parameters and a residual; determining a least valued residual from all residuals yielded, the least valued residual indicating a corresponding energy lag for the each of the buildings; and using energy lags for all of the buildings to generate a dispatch schedule for the demand response program event according to a prioritization of the energy lags.