[Object] To control power usage of a group including a plurality of units of power consumption such that control for each unit of power consumption is adjusted in accordance with the use of power by each individual unit of power consumption over each time period to reduce unused power in the entire group.

[Solution] A power control system of the present disclosure is a power control system for performing power control such that a target power set for a group including a plurality of units of power consumption is not exceeded, the system including a limit value setting unit 330 that sets, for each of the units of power consumption, a limit value of power usage for a predetermined time period, based on the target power; and a limit value adjustment unit 370 that adjusts, within the predetermined time period, the limit value of each of the units of power consumption for the predetermined time period, based on an actual result of power usage within the predetermined time period.

A system is provided having one or more charging stations that are electrically coupled with a power distribution grid and that may selectively couple with one or more energy storage devices; and a controller that may control transfer of electric power between the one or more charging stations, the one or more energy storage devices, and the power distribution grid. The controller may determine the amount of electric power transferred based at least in part on one or both of an assessment value.

A micro utility system. The micro utility system may include a portable container housing a plurality of pairs of rails on opposing interior faces of walls of the portable container and an energy storage system (ESS); a plurality of portable solar panel structures each comprising two or more solar panels coupled to each other at one end, each of the plurality of portable solar panel structures supported by a different pair of the plurality of pairs of rails; one or more charging port located on an exterior face of a first wall of the portable container and electrically connected to the ESS; and one or more discharging port located on the exterior face of the first wall or an exterior face of a second wall of the portable container and electrically connected to the ESS.

A system, controller, and method for predictive control of energy management for a segmented load centre. The method including: determining a load prediction for a predetermined prediction timeframe, the load prediction using a machine learning model taking load conditions of the power flow data as input features, the machine learning model trained using historical load conditions; determining a generation prediction for the predetermined prediction timeframe using a renewable generation model, the generation prediction using input features including solar radiation related weather data; determining an energy balance over the prediction timeframe using the load prediction and the generation prediction; modulating a minimum state of charge setpoint based on whether a current value of the setpoint results in curtailed generation in the determined energy balance over the prediction timeframe.

A system can detect an event at a first grid connected to a second grid via a meter monitored by a utility provider that distributes electricity via the second grid. A controller of a first grid can receive data including amounts of electricity consumption monitored by a corresponding plurality of sub-meters on the first grid and state information for energy storage systems on the first grid. The system can determine, responsive to the event, to modify a set point for one of the energy storage systems based on the state information and the amounts of electricity consumption monitored by the sub-meters on the first grid. The data processing system can provide, based on the determination, one or more commands to the controller to modify the set point for at least one of the plurality of energy storage systems on the first grid.

A power demand/supply adjustment power procurement plan support device supports a power system through a power transaction in the power market and has an added power transmission capacity analysis means and a target power transmittable capacity determination means. The added power transmission capacity analysis means obtains: actual power supply data including a power supply having supplied power to the power system and the actual value of a power supply amount; an actual power system stabilization data including a power supply performing power supply restriction for power system stabilization, an electric control amount or a customer facility performing a load restriction, and the actual value of a load control amount; and an actual power demand/supply adjustment power procurement data including a procurement amount of the power demand/supply adjustment power of a power supply participating in the power market and the actual value of the total procurement cost.

A power system for an electrical system with highly fluctuating loads is powered by one or more power sources that are slow to react to load changes. The power sources are connected to electrical equipment used on the drill rig which provide active load to the generate. One or more load banks may be positioned to provide passive load to the generators to maintain generally constant generator load, while allowing for instant access to power as active load increases. Generators may be run at 100% capacity, a maximum efficient capacity, or at a high enough level to allow for a sufficiently rapid increase in power output. At least one parameter of a drilling operation may be utilized to anticipate load demand changes.

A long-term predictor predicts long-term predicted power indicating temporal changes in consumed power of a customer using a long-term prediction model. A short-term predictor predicts short-term predicted power indicating temporal changes in the consumed power of the customer immediately after a current time, using a short-term prediction model, based on temporal changes in the consumed power of the customer immediately before the current time. A controller controls charging and discharging of a power storage apparatus at intervals based on the long-term predicted power and the short-term predicted power. The controller predicts temporal changes in charging power, discharging power, and charged electric energy of the power storage apparatus, and when the charged electric energy is predicted to reaches a lower limit due to discharging of the power storage apparatus, the controller charges power from the power network to the power storage apparatus in advance.

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.

A system includes an energy storage device geographically proximate a plurality of load centers. The energy storage device is coupled to one or more of the plurality of load centers for supplying energy to the load centers and is also coupled to an energy generation source for receiving energy from the energy generation source. The system also includes a control system that is operable to receive energy market data, monitor the plurality of load centers, the energy storage device, and the energy generation source, and control the charging and dispatching of the energy storage device based on the monitoring and the energy market data.