Examples relate to a method includes monitoring a set of parameters. The set of parameters are associated with a first set of computing components and a second set of computing components. The first set of computing components is located in a first region and the second set of computing components is located in a second region. The first region is positioned proximate a generation station control system associated with a generation station and the second region is positioned remotely from the generation station control system. Each computing system of the second set of computing systems is configured to adjust power consumption during operation. The method also includes adjusting power consumption at one or more computing components of the second set of computing components based on the set of parameters.

A power generation amount prediction apparatus includes a first detector, acquisition unit, database, and controller. The first detector detects a measured value of the power generation amount of a photovoltaic power generation device. The acquisition unit acquires a predicted value of the power generation amount by the photovoltaic power generation device at specific times. The database stores the measured value and the predicted value for each of the specific times for a plurality of days. The controller calculates a corrected predicted value for each of the specific times based on a maximum measured value, a maximum predicted value, and a predicted value newly received by the acquisition unit. The maximum measured value and the maximum predicted value are respectively the maximum value, for each of the specific times, of the measured value and of the predicted value for a predetermined number of days.

There discloses a ubiquitous energy network for optimum utilization of energy, which includes nodes connected by an interconnected network architecture of virtual pipelines transferring a ubiquitous energy flow, with the ubiquitous energy flow being transferred among the nodes bi-directionally. The node includes a system energy efficiency controller, and at least one of other nodes, an energy generation device, an energy storage device, an energy utilization device, and an energy regeneration device connected to the controller. The controller controls the input and output of the ubiquitous energy flow of the at least one of the other nodes, the energy generation device, the energy storage device, the energy utilization device, the energy regeneration device. Furthermore, the node, an access terminal, a virtual tag, and the virtual pipeline of the ubiquitous energy network, and a server and method for providing energy transaction and service by the ubiquitous energy network are disclosed.

An adaptive control device and adaptive control method, and a control device of an injection molding machine, which allow optimal adaptive control to be performed automatically and easily, while preventing a degradation of responsiveness. The adaptive control device is configured to perform feedback control in such a manner that an operation value is output based on a command value and a feedback value which is a sum of a controlled value output from a controlled target and a compensation value output from a parallel feed-forward compensator; wherein the parallel feed-forward compensator includes: an identification section which sequentially estimates a frequency response characteristic of the controlled target and an adjustment section which adjusts the compensation value based on the estimated frequency response characteristic.

Systems, methods, and messages of the present invention provides IP-based messages associated with the grid elements, wherein each IP-based message includes an internet protocol (IP) packet that is generated autonomously and/or automatically by the grid elements, intelligent messaging hardware associated with the grid elements, at least one coordinator, and/or a server associated with the electric power grid and its operation, energy settlement, and/or financial settlement for electricity provided or consumed, transmitted, and/or curtailed or reduced. The IP packet preferably includes a content including raw data and/or transformed data, a priority associated with the IP-based message, a security associated with the IP packet, and/or a transport route for communicating the IP-based message via the network.

Various examples are provided for feedback control of power systems. The feedback control can provide simultaneous frequency regulation and economic operation of a power system. In one example, a method includes obtaining a frequency difference associated with a generator of a power system; determining an output power adjustment based at least in part upon the frequency difference and a cost function associated with the generator; and providing a power command to a secondary frequency control of the generator, the power command based upon the output power adjustment. In another example, a generator control system includes a primary frequency controller configured to control frequency droop of a generator of a power system; and a secondary frequency controller configured to adjust output power of the generator based at least in part upon a frequency difference associated with the generator and a cost function associated with the generator.

A microgrid includes a plurality of distributed energy resources such as controllable distributed electric generators and electrical energy storage devices. A method of controlling operation of the microgrid includes periodically updating a distributed energy resource schedule for the microgrid that includes on/off status of the controllable distributed electric generators and charging/discharging status and rate of the electrical energy storage devices and which satisfies a first control objective for a defined time window, based at least in part on a renewable energy generation and load forecast for the microgrid. The method further includes periodically determining power set points for the controllable distributed energy resources which satisfy a second control objective for a present time interval within the defined time window, the second control objective being a function of at least the distributed energy resource schedule for the microgrid.

Systems, methods, and computer program products for providing an inertial response by a wind power system to power fluctuations in an electrical grid. The system includes a synthetic inertial response generator configured to generate a power offset in response to fluctuations in grid voltage. The power offset signal is generated by determining a quadrature component the grid voltage using an internal reference voltage having an angular frequency and phase angle that is synchronized to the electrical grid by a control loop. The quadrature component is used to determine a synchronous power level. A control loop error signal is produced by the difference between the synchronous power level and the wind turbine system power output. Changes in the grid frequency produce an error signal that is added to the power set point of wind turbine system output controllers to provide a power system inertial power output response.

An electricity demand prediction system includes electricity usage data collection means, production schedule storage means, model creation means, and short-term electricity demand prediction means. The electricity usage data collection means collects electricity usage data of each device and causes electricity usage data storage means to store the collected electricity usage data. The model creation means creates an electricity amount calculation model of each prescribed product type for each device on the basis of the electricity usage data stored in the electricity usage data storage means and a past production schedule stored in the production schedule storage means. The short-term electricity demand prediction means computes future electricity demand for each device on the basis of the electricity amount calculation model created by the model creation means and a future production schedule stored in the production schedule storage means.

An electric power storage device included in a microgrid is described herein. The electric power storage device has at least one of a charge rate, a discharge rate, or a power retention capacity that has been customized for the microgrid. The at least one of the charge rate, the discharge rate, or the power retention capacity of the electric power storage device is computed based at least in part upon specified power source parameters in the microgrid and specified load parameters in the microgrid.