Abstract: An energy grid network includes multiple distributed energy resources (DERs) or DER nodes. A DER node includes a local energy source and a local energy load. The DER nodes in the network generate realtime data about energy availability from local energy sources and realtime data about energy demand. The DER nodes can share the realtime data with other DER nodes in the network to provide a constant view in the network about the energy generation and energy demand within the network. The shared realtime data can be scaled at each DER node based on physical distance, time to exchange energy between nodes, or both distance and time. A DER node generates its own realtime data and receives data from one or more other DER nodes and determines the value of energy use from local or non-local sources by local and non-local loads.

Abstract: A power system of a consumer premises includes a circuit breaker to provide power to an electrical circuit and a current sensor mounted proximate a connection of the circuit breaker. The current sensor generates data that a controller uses to compute current draw for the circuit fed by the circuit breaker. Based on the current draw information, the controller can determine how much real and reactive power is being drawn by individual circuits. The controller can use that information to trigger a power converter to adjust operation to change the quadrant of operation of the current vector.

Abstract: Distributed grid intelligence can enable a modular power grid. Multiple consumer nodes are coupled to a same point of common coupling (PCC). Local power sources are coupled to the PCC. None of the power sources has sufficient generation capacity alone to meet peak demand of the multiple consumer nodes of the grid segment. The grid segment includes multiple control nodes to control distribution of power from the power sources to the multiple consumer nodes based on power demand from the multiple consumer nodes and based on operation of the other power sources. Thus, consumer nodes can share power generated locally, but operate independently without the need for central management or a central power plant, and different independent segments can be coupled to each other to expand the grid network.

Abstract: Distributed grid intelligence can enable a virtual power grid. Multiple consumer nodes can have local power sources, and be coupled to a same point of common coupling (PCC). The consumer nodes can be controlled by distributed control nodes at the consumer nodes. The control nodes control the distribution of power from the local power sources based on local power demand of each respective consumer node, and also based on distribution of power from the other respective control node. Thus, consumer nodes can share power generated locally, but operate independently without the need for central management or a central power plant.

Abstract: Distributed grid network intelligence enables intelligent local energy storage backup control. A consumer node includes a local energy storage system. A distributed control node for the consumer node monitors local power demand and local energy generation. The control node calculates an interface operation for accessing energy from the local energy storage or charging the local energy storage, based on the local power demand and the local energy generation. The control node triggers a local power converter to execute the interface operation with the local energy storage.

Abstract: Apparatuses and systems enable power transfer from one or more energy sources to one or more loads. The input power from the energy sources may be unregulated, and the output power to the loads is managed. The power transfer is based on a dynamic implementation of Jacobi's Law (also known as the Maximum Power Theorem). In some embodiments, the energy sources are selectively coupled and decoupled from the power transfer circuitry. In some embodiments, the loads are selectively coupled and decoupled from the power transfer circuitry. Power transfer to the loads is dynamically controlled.

Abstract: 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.

Abstract: 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.

Abstract: Distributed grid network intelligence enables data aggregation at a local control node. In a consumer node, a meter is on a consumer side of a point of common coupling (PCC). The meter can receive one or more external grid inputs and one or more local sensor inputs. The grid inputs can come from sources outside the PCC, and the local sensor inputs monitor conditions at the PCC and/or within the PCC. The meter can identify power demand within the PCC and calculate an output power to generate with a local power converter. The calculation is not simply based on power demand, but on aggregation information, including the one or more external grid inputs, the one or more local sensor inputs, and the power demand for the local load. The local power converter can then output power in accordance with the calculated output power.