A method for controlling at least one controllable system component in an electrical installation, where the installation is connected to an electrical supply network via a network connection. A measurement value of a performance from the supply network is detected for each individual successive time interval, and if one of the measurement values is larger than a predetermined threshold value, the performance is guided below the threshold value by switching electrical compensation power. The measurement value of the current time interval is predicted as a forecast value using a control device at at least one time within the current time interval in question by using forecast data to add a future course of the performance extending to the end of the time interval, and thereby deciding during the time interval how much compensation power is necessary.

Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.

A power network management system for managing distribution of electric energy to a multitude of power consumers by means of a power grid, the system comprising a plurality of software agents and a convergence unit. Each software agent is adapted to be connected to one of the power consumers and to exchange data with the power consumer, wherein each software agent is adapted to exchange data with the power consumer, and wherein the convergence unit is adapted to request and receive consumption-related data of the consumers, to estimate energy consumption needs of each of the consumers within a defined time period, to generate an optimized energy distribution plan for distributing available electric energy among the consumers, to generate consumption plan data for each of the consumers, and to provide the consumption plan data to the software agents of the consumers.

Provided is a method of operating a hybrid power plant, including energy generating units including a wind park and at least one unit of another type of renewable energy source and including an energy storage system, the method including: creating a power production schedule based on an actual forecast of power production, an actual forecast of energy price and actual hybrid power plant status, the power production schedule including at least scheduled power for points in time in the future; and controlling, during the points in time in the future the energy generating units and the energy storage system based on the power production schedule, the hybrid power plant status at the points in time in the future, in particular energy storage system status, such as to dispatch power according to the power production schedule, but complying with any grid operator reference at the points in time in the future.

The invention relates to a method for controlling a power plant for providing frequency support to a power grid. The power plant comprises an electrical storage unit and a power generating system comprising one or more power generating units including at least one wind turbine generator. The method comprises setting a frequency control period, wherein the electrical storage unit is scheduled to charge or discharge according to a first power set-point and at the start of the frequency control period, charging or discharging the electrical storage unit according to the power set-point. In case of a frequency deviation, a power change of the power from the electrical storage unit is determined based on the frequency deviation. Frequency support is provided by controlling the electrical storage unit to charge or discharge according to a second power set-point determined from the power change.

A method for planning an electrical power transmission network using a planning arrangement includes providing a first input dataset, and converting the first input dataset into graphical representation using a conversion device. The graphical representation contains topology information for interconnection of equipment items and data communication information and parameterization information for equipment items. Different types of equipment are distinguished by a first identifier, electrical connections are distinguished by a second identifier and data communication links are distinguished by a third identifier. Multiply recurring patterns in the graphical representation are identified by a pattern recognition device. A respective frequency of patterns is determined by the pattern recognition device. All patterns having a frequency exceeding a predetermined threshold are marked as candidate samples by the pattern recognition device. Typical configurations are selected from the candidate patterns using a selection criterion. A planning arrangement and a computer program product are also provided.

The present disclosure relates to a power management method and apparatus, a computing device, a medium, and a product. The power management method includes a monitoring step, a prediction step, an error calculation step and an adjustment step including adjusting power supply plan or a power demand of a user when at least one of a first error is greater than a first predetermined threshold or a second error is greater than a second predetermined threshold.

The life of a power storage pack to be mounted on an electric vehicle is prolonged while maintaining user convenience. A monitoring device (1) communicates with a storage device (4) storing power storage packs (2) to be mounted on a electric vehicle (3) traveling at a low speed in a predetermined area. An acquisition unit of the monitoring device (1) acquires parameter information including information of a user who uses the electric vehicle (3) and state information of the power storage packs stored in the storage device (4). A prediction unit of the monitoring device (1) predicts an amount of power consumption of the electric vehicle (3) used by the user, based on the acquired parameter information. A selecting unit of the monitoring device (1) selects a combination of power storage packs to be mounted on the electric vehicle among the power storage packs, based on the predicted amount of power consumption and the acquired state information on the power storage packs.

Disclosed are a power grid user classification method and device, and a computer-readable storage medium. The method includes: determining user power consumption data of each time period within a time interval, the user power consumption data of each time period including user power consumption data of each time granularity within the time period; generating a power consumption pattern image of a user within the time interval based upon the user power consumption data of each time period within the time interval; and classifying the user based upon an image recognition result of the power consumption pattern image. A user is classified by performing image recognition on a power consumption pattern image, and file information does not need to be manually inputted, thereby reducing a manual workload. In addition, a completion defect caused by incomplete file information is avoided, thereby improving the accuracy of classification.

The power control device performs power supply to each of a plurality of loads (231 to 234) by a time-proportional control, where a maximum load factor and a current value or a power value during on-control are made to correspond to each of the plurality of loads. The power control device 1 is characterized by being provided with an automatic power supply allocation unit 12 that performs: processing of calculating a combination of loads in which a total value of the current value or the power value during the on-control, which are made to correspond to the respective loads, does not exceed a limiter value that specifies an upper limit to the total of the current value or the power value output to the plurality of loads; processing of setting a period in which the respective loads in the combination are simultaneously on-controlled and subtracting the period from the maximum load factor of each of the loads in the combination; and automatic allocation processing of power supply to each load by repeating each of the above processing until all maximum load factors of the respective loads become zero.