A method is provided for power limiting in a power inverter configured to produce an output voltage and having a voltage regulator with a voltage setpoint defined for no load on an external bus line. The method includes determining a power level related to a load on the external bus line, determining an adjusted voltage setpoint based on the power level, including: decreasing the voltage setpoint to the adjusted voltage setpoint having a first value when the power level is above a maximum threshold, increasing the voltage setpoint to the adjusted voltage setpoint having a second value when the power level is below a minimum threshold, and slewing the adjusted voltage setpoint to the voltage setpoint so that the adjusted voltage setpoint has a third value when the power level is within a range defined by the maximum threshold and the minimum threshold.

An energy management system capable of optimizing a distribution of energy storage between a battery and a hydrogen energy storage system is provided. An energy management system includes a collection unit configured to collect arrival and departure information and information about weather, a prediction unit configured to predict a demand fluctuation in an amount of electric power used in an airport based on the information collected by the collection unit, and a determination unit configured to determine a distribution of energy storage between a battery and a hydrogen energy storage system based on the demand fluctuation predicted by the prediction unit.

A building comprises a network of energy storage and energy consuming assets, which is connected to an alternating current electric supply grid having a normal frequency through an energy management system linked to a server. The energy management system measures over a period of time the energy consumption against time of the energy consuming assets and stores the measurements taken and measures over a period of time the energy stored against time in the energy storing assets and stores the measurements taken. The measurements of energy consumption and energy stored are used to derive the base net energy need in particular time periods. The net energy need in individual time periods is exported to one or more third parties.

A grid distribution system aggregates energy resources of multiple distributed energy resources (DERs) and provides service to one or more energy markets with the DERs as a single market resource. The DERs can create data to indicate realtime local demand and local energy capacity of the DERs. Based on DER information and realtime market information, the system can compute how to provide one or more services to the power grid based on an aggregation of DER energy capacity.

Included are an energy management apparatus that manages at least one or more management target that consumes energy; and a user terminal that transmits and receives information to and from the energy management apparatus via a network. The energy management apparatus includes an energy management controller that prepares a question regarding a behavior of a user who uses the at least one or more management target, and transmits it to the user terminal. The user terminal includes a user terminal controller that transmits a question answer regarding the received question to the energy management controller when receiving the question transmitted from the energy management controller. The energy management controller predicts an energy consumption amount of the at least one or more management target based on the received question answer when receiving the question answer transmitted from the user terminal controller.

In a control device, an instruction acquirer acquires an instruction to suppress in a specified period supplying of generated power generated by power generator installed in a power-consuming area to a commercial electrical power system. Upon the instruction acquirer acquiring the instruction, a water heater controller commands a water heater installed in the power-consuming area to perform a water heat-up operation when a predetermined condition is satisfied in the specified period.

A method for operating a network, such as an automation network, for example, has multiple node devices provided that are networked to one another. There is a global time available, and the node devices record their operating parameters. The operating parameters are allocated to a respective address element as content elements in order to be stored in a tensorial database structure. Control or adaptation of the operation of the network with its node devices and couplings is facilitated thereby. The method is suitable particularly for use in supply networks, automated production installations, communication networks, transport networks and logistical networks. The proposed storing allows easy visualisation, depiction and evaluation of operating states of the network and of its node devices.

An electric power controlling section which controls transmission and reception of electric power between power grid and an electric power storage device, an energy source producing section which utilizes electric power supplied from power grid to produce an energy source, an energy information obtaining section which obtains information indicating a first electric amount which is the electric power amount supplied by the electric power storage device to the power grid during a first period, and a corresponding amount determining section which determines a first corresponding amount which is the amount of the energy source produced by the energy source producing section utilizing the amount of electric power corresponding to the first electric amount are included.

Systems and methods are described for distributed hierarchical artificial intelligence (AI) in smart grids using two levels. At a higher level, the AI center module sits at the high-voltage transmission or distribution substation level, and manages a few points of aggregations (POA). At a lower hierarchy, each POA consists of all controllable and non-controllable elements in distribution feeder, distribution transformer, or microgrid level. These elements include distributed energy resources, energy storage systems, residential and commercial energy management systems, electric vehicle charging stations, etc. Each POA may be logically and/or physically connected to other POAs. Within each POA, AI edge module calculates the optimal disaggregation of set-points received from the AI center module to the controllable elements based on local information, and information gathered from the AI center module.

This disclosure describes techniques that include managing flows of energy within a system that includes a data center and using at least some of the energy flows to provide power to the data center. In some examples, this disclosure describes a system comprising a power generation system, a battery storage system having a state of charge attribute, and processing circuitry having access to an electrical power grid, the power generation system, and the battery storage system. In one example, the processing circuitry is configured to: determine an energy utilization forecast for a data center; monitor energy availability factors; and determine, based on the energy utilization forecast and the monitored energy availability factors, an energy flow configuration defining energy flows involving with the electrical power grid, the power generation system, the battery storage system, and the data center.