An example well construction system includes well construction equipment, a power supply system, and a control system. The well construction equipment performs well construction operations. The power supply system outputs electrical power to the well construction equipment. The power supply system includes an electrical generator unit and a control system including a processor and a memory storing a computer program code. The computer program code causes the control system to control an electrical power output level of the power supply system during the well construction operations. The computer program code also causes the control system to control operation of the well construction equipment during the well construction operations based on the electrical power output level during the well construction operations and an electrical power demand level of the well construction equipment during the well construction operations.

This disclosure relates generally to a system and method for transactive energy (TE) market model. Existing TE models either consider market without a network simulation model or both the market model and the network simulation model are considered in a single formulation which makes the computation complex. The disclosed system considers both the power flow simulation of the network and the market model in a sequence. In other words, the disclosed system decouples the market model and network model to reduce the computational complexity at the same time without sacrificing on the technical feasibility of the solution.

Methods, systems, and apparatus, including computer programs encoded on computer-storage media, for operating sources of electricity in an electrical grid having a forecasting error rate are described. In some implementations, a method includes selecting a forecast horizon based on the forecasting error rate; performing an optimization process for dispatch planning of the electrical grid for the selected forecast horizon; automatically operating one or more power sources of the electrical grid in accordance with the dispatch planning for a first time increment; and performing an optimization process for dispatch planning for subsequent time increments within the selected horizon after the first time increment has elapsed.

Disclosed herein is a system and method of use for managing loads. More specifically, the present invention generally relates to a system and method of use for managing loads, which utilizes groupings to determine what resources are turned off for a given load shed situation or what resources are turned on for a given load increase situation. In one embodiment the system is comprised of at least one digitally controlled switch being communicatively coupled with a user interface for controlling the digitally controlled switches. The digitally controlled switches are combined into priority dropout groups.

A method of forecasting the combined impact the introduction of energy technology solutions will have on the energy consumption at a site, comprising: selecting a plurality of energy technology solutions suitable for use at the site; generating energy usage data for the site, the energy usage data comprising data usage for the site in predetermined time intervals over a predetermined duration; creating energy impact data for each selected energy technology solution for each predetermined time interval based on the energy usage data for that time interval; sequentially generating impacted energy data for each selected energy technology solution across each time interval, the impacted energy data generated for a preceding energy technology solution being used to generate the impacted energy data for a subsequent energy technology solution; following completion of the sequentially generated impacted energy data for each energy technology solution, summing for each time interval independently the impacted energy data to generate a combined impacted energy data over the predetermined duration; and comparing the combined impacted energy data against the energy usage data for the site to determine a forecast combined impact the introduction of the selected energy technology solutions will have on the energy consumption at the site.

A system generates a first tree structure representing a relation of a plurality of measurement data sets, and generates goodness-of-fit data based on at least a part of attribute data regarding one or more branch portions included in the first tree structure. The attribute data includes one or more attribute values at one or more points in time regarding each of one or more attribute items. The goodness-of-fit data includes goodness-of-fit for each attribute item regarding each branch portion. With regard to each attribute item for each branch portion, goodness-of-fit is a value calculated based on a parent node and two or more child nodes belonging to the relevant branch portion, and one or more attribute values corresponding to the relevant attribute item, and represents a degree that the relevant attribute item will fit as a base of a branch condition. The system generates a second tree structure in which a branch condition decided based on the goodness-of-fit data is associated with a branch portion included in the first tree structure, and performs data estimation using the second tree structure.

Method of operating an energy system, said energy system comprising: a local common transmission bus; at least one local energy connected to said bus; at least one local load connected to said bus; an energy store connected to said bus; a controllable interface arranged to exchange energy between said bus and an external distribution network external to said energy system; a controller adapted to control said interface so as to carry out said exchange of energy.

According to the invention, the controller defines three modes based on the state of charge of the energy store which determine if, and how, energy is exchanged with the external network so as to optimize self-consumption and to perform ramp-rate reduction and peak shaving as appropriate.

Distributed energy resources are validated by dispatching a distributed energy resources individually in known ambient conditions and monitoring the particular effect of dispatch to then establish a database of performance for multiple different distributed energy resources. The distributed energy resources can be permanently monitored to further build up this database and to verify that the distributed energy resource 1s performing consistent with its validation or other expected performance. Distributed energy resources of a slow responding variety and a fast responding variety can be paired together and dispatched together, so that the paired fast responding and slow responding distributed energy resources mimic a large fast responding distributed energy resource. The benefits of a high capacity fast responding distributed energy resource is thus provided, such as for the load shedding and grid support benefits thereof.

The present invention relates to a method and a device for managing energy consumption and, more particularly, to a method and a device for managing energy consumption for each time period so as to support a user's achieving of a target energy consumption rate for a predetermined time period. In addition, disclosed is a technology for a sensor network, machine to machine (M2M) communication, machine type communication (MTC), and the Internet of Things (IoT). The present disclosure can be utilized in an intelligent service (such as smart home, smart building, smart city, smart car or connected car, health care, digital education, retail business, security and safety-related services) based on the technology.

Various embodiments include an energy storage apparatus for providing electrical energy comprising: a meter for capturing an electrical load profile to be provided and operating state values of energy storage devices; a data memory for storing data relating to an assessment profile for a respective energy storage device, wherein the assessment profile represents effects of operating parameters on a respective criterion of a respective energy storage device; a processor for dividing the electrical load profile into partial load profiles and assigning them to a respective energy storage device optimized based at least in part on the respective criterion and the respective operating state values; and an open-loop controller for operating the energy storage devices selected by the processor to jointly provide electrical power for the electrical load profile.