A method and apparatus for optimally allocating resources of a provider according to a contribution margin ratio of a resource consumer in a distributed energy resource environment are described. An embodiment is a method for distributing energy resources in a distributed energy resource system. The method may include receiving information about the amount of available energy resources from each of one or more providers, receiving information about the amount of required energy resources from each of one or more consumers, assessing a contribution margin ratio for each of the one or more consumers, calculating an energy resource allocation amount for each of the one or more consumers based on the assessed contribution margin ratio, and distributing energy resources to each of the one or more consumers based on the calculated energy resource allocation amount.

A method for operating a power generating facility connected to a power distribution grid having an uncertain power generation condition includes predicting a probabilistic power flow forecast in a transmission line of the power distribution grid for a period of time, wherein the transmission line is electrically coupled to the power generating facility, predicting, using the probabilistic power flow forecast, a probability of congestion over the transmission line of the power distribution grid during the period of time, generating a mitigation plan, including a load adjustment on the transmission line, using the probability of congestion predicted over the transmission line and a thermal limit constraint of the transmission line, wherein the mitigation plan balances the load adjustment and an overlimit line capacity on the transmission line, and controlling the power generating facility, using the mitigation plan, to achieve the load modification and mitigate the probability of congestion predicted in the transmission line.

An HVAC renewable energy management system and components to enable the efficient use of locally produced power from an onsite nanogrid and interconnected nanogrids of a cohesive direct current microgrid network. The system comprises a central controller for controlling one or more intermittent distributed energy resource (DER), source converter, distributed storage device, energy storage converter, power bus, internal load, and interface gateway to one or more external grid for bi-directional power control, sharing, and consumption. System hardware and software elements are configured for internetworking communication, management, control, demand side management, and power balance, using maximum power point tracking to shift power consumption, dynamic matching of local DER production, power quality assurance, system protection, power interconnection management, interface management, metering, revenue settlement, system optimization, and security. The system can match local power production with an individual household's power consumption to reduce intermittency and ultimately total microgrid consumption.

The conventional wind farm control system has a problem in that it is difficult to obtain information with high spatial resolution and information sufficient for improving machine learning cannot be obtained. An artificial intelligence (AI) system according to the present invention includes: a learning device to perform machine learning on a wind vector, to predict a power generation amount of a wind turbine, and compare the predicted amount with a measured power generation amount, the learning device choosing, when the power difference therebetween is a predetermined threshold value or larger, a laser radar system for measuring the wind vector and then deriving measurement parameters; and a control device to send the measurement parameters derived by the learning device to the laser radar system.

An example operation includes one or more of determining, by a first energy source, that a second energy source configured to provide energy to an area is in need of supplemental energy, providing, by the first energy source, the supplemental energy to at least one location within the area in a prioritized manner, and responsive to a severity of the need and an amount of available energy at the first energy source, notifying, by the first energy source, the at least one transport to provide additional energy to the at least one location in the prioritized manner.

A hybrid solar load controller. The controller determines values to carry out what is referred to herein as “best effort” pumping during sun hours, understand its progress, and then “finish the job” with AC power after sun hours have concluded, while taking fullest advantage of pump affinity when on paid-power pump. In embodiments, the pump can be a water pump for a pool, and a goal can be set as a total volumetric goal. The goal can also be a fill level for a container.

An energy control and storage system includes an energy monitor, a power controller, an energy storage device, and a computing unit. The energy monitor monitors power provided between an electric distribution system and a load. The power controller exchanges power with the energy monitor and receives power from a power generation system. The energy storage device stores energy received through the power controller. The computing unit receives a load shape from outside the energy control and storage system. The computing unit controls power exchanged between the energy control and storage system and the electric distribution system based on power indicated by the load shape that changes in response to varying conditions affecting the electric distribution system.

A method and controller for controlling electrical activation of elements in a system. A method includes identifying (710) a first element (102) of a system (100) by a control system (600), among a plurality of elements (102, 110, 122) of the system (100), that is to be powered. The method includes determining (712) connected elements (110, 122) of the system (100) by the control system (600). The connected elements (110, 122) are connected to deliver power to the first element (102) directly or indirectly, based on an adjacency matrix (400), and the adjacency matrix (400) identifies connections between each of plurality of elements of the system (100). The method includes identifying (714) at least one of the connected elements (110, 122) to activate by the control system (600), based on the adjacency matrix (400), a health table (500), and the connected elements (110, 122), to deliver power to the first element (102). The method includes activating (716) the at least one of the connected elements (110, 122) by the control system (600), thereby delivering power to the first element (102).

The present disclosure provides a current transformer, a method for distributing electric energy using the same, and an electric energy distribution system, and relates to the technical field of household appliances. The method includes: calculating distribution coefficients of energy required for loads according to the number of the loads and rated energy demands of the respective loads; acquiring energy demand ranges of the loads; and distributing energy to the loads according to the energy demand ranges and the distribution coefficients based on energy of a power supply end.

A grid power configuration may provide a reliable, efficient, inexpensive and environmentally conscious power source to a site, for example, a remote site such as a well services environment. Grid power may be provided for one or more operations at the site by coupling a main breaker to a switchgear unit coupled to one or more loads. The switchgear unit may be coupled to the main breaker via a main power distribution unit and may also be coupled to one or more loads. At least one of a grid power unit and a switchgear unit may be coupled to the main breaker via the main power distribution unit and may also be coupled to one or more additional loads. A control center may be communicatively coupled to the main breaker or any one or more other components to control one or more operations of the grid power configuration.