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 distributed control node enables total harmonic control. The control node measures current drawn by a load, including harmonics of the primary current. A metering device can generate an energy signature unique to the load including recording a complex current vector for the load in operation identifying the primary current with a real power component and a reactive power component, and identifying the harmonics with a real power component, a reactive power component, and an angular displacement relative to the primary current. The control node can control a noise contribution of the load due to the harmonics as seen at a point of common coupling to reduce noise introduced onto the grid network from the load.

Abstract: A power transfer system provides power factor conditioning of the generated power. Power is received from a local power source, converted to usable AC power, and the power factor is conditioned to a desired value. The desired value may be a power factor at or near unity, or the desired power factor may be in response to conditions of the power grid, a tariff established, and/or determinations made remotely to the local power source. Many sources and power transfer systems can be put together and controlled as a power source farm to deliver power to the grid having a specific power factor characteristic. The farm may be a grouping of multiple local customer premises. AC power can also be conditioned prior to use by an AC to DC power supply for more efficient DC power conversion.

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 distributed control node enables total harmonic control. The control node measures current drawn by a load, including harmonics of the primary current. A metering device can generate an energy signature unique to the load including recording a complex current vector for the load in operation identifying the primary current with a real power component and a reactive power component, and identifying the harmonics with a real power component, a reactive power component, and an angular displacement relative to the primary current. The control node can control a noise contribution of the load due to the harmonics as seen at a point of common coupling to reduce noise introduced onto the grid network from the load.

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 distributed control node enables local control of reactive power. A metering device of the control node measures energy delivered by a grid network at a point of common coupling (PCC) to which a load is coupled. The metering device determines that the load draws reactive power from the grid network. The control node draws real power from the grid and converts the real power from the grid into reactive power. The conversion of real to reactive power occurs on the consumer side of the PCC. The conversion of real to reactive power enables delivery of reactive power to a local load from real power drawn from the grid.

Abstract: A distributed control node enables monitoring of complex energy signatures for local loads. The control node can identify energy signatures unique to local loads. The energy signature includes a complex current vector for the load in operation identifying the primary current with a real power component and a reactive power component, and identifying one or more harmonics each with a real power component, a reactive power component, and an angular displacement relative to the primary current. Based on the energy signature, the control node can control a noise contribution of the load due to the harmonics as seen at a point of common coupling to reduce noise introduced onto the grid network from the load.

Abstract: A distributed control node enables local control of reactive power. A consumer node generates local real power on a consumer side of a point of common coupling (PCC). The control node converts local real power into reactive power with a conversion device on the consumer side of the PCC. The control node can deliver the reactive power to the grid to provide VARs to the grid from locally generated real power.

Abstract: A power transfer system provides power factor conditioning of the generated power. Power is received from a local power source, converted to usable AC power, and the power factor is conditioned to a desired value. The desired value may be a power factor at or near unity, or the desired power factor may be in response to conditions of the power grid, a tariff established, and/or determinations made remotely to the local power source. Many sources and power transfer systems can be put together and controlled as a power source farm to deliver power to the grid having a specific power factor characteristic. The farm may be a grouping of multiple local customer premises. AC power can also be conditioned prior to use by an AC to DC power supply for more efficient DC power conversion.

Abstract: A power transfer system provides power factor conditioning of the generated power. Power is received from a local power source, converted to usable AC power, and the power factor is conditioned to a desired value. The desired value may be a power factor at or near unity, or the desired power factor may be in response to conditions of the power grid, a tariff established, and/or determinations made remotely to the local power source. Many sources and power transfer systems can be put together and controlled as a power source farm to deliver power to the grid having a specific power factor characteristic. The farm may be a grouping of multiple local customer premises. AC power can also be conditioned prior to use by an AC to DC power supply for more efficient DC power conversion.

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: 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: 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.

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: Data aggregation enables a local control response based on forward prediction at a consumer node of a distributed grid network. A consumer node includes a local energy meter that receives grid condition information, including an aggregation of multiple inputs indicating an electrical condition of the grid network, local operating conditions at the PCC, and local power demand. The consumer node accesses operating history for a local control node, the operating history including records of previous power output for various grid conditions and operating conditions. Based on the operating history and the aggregation information, the consumer node calculates an output power to generate with a local power converter, which outputs the power based in accordance with the calculation.

Abstract: A distributed control node enables total harmonic control. The control node measures current drawn by a load, including harmonics of the primary current. A metering device can generate an energy signature unique to the load including recording a complex current vector for the load in operation identifying the primary current with a real power component and a reactive power component, and identifying the harmonics with a real power component, a reactive power component, and an angular displacement relative to the primary current. The control node can control a noise contribution of the load due to the harmonics as seen at a point of common coupling to reduce noise introduced onto the grid network from the load.

Abstract: Data aggregation enables a local control response at a consumer node of a distributed grid network. A consumer node includes a local energy meter. The meter receives multiple inputs indicating an electrical condition of the grid network and local operating conditions. The meter can aggregate the grid network and local operation conditions inputs with power demand for a local load coupled to the consumer side of the point of common coupling monitored by the energy meter. The energy meter calculates a mix of real and reactive power to output from a local energy source, based on the aggregated data. A local power converter outputs the calculated power from the local energy source.

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: A distributed control node enables local control of reactive power. A metering device of the control node measures energy delivered by a grid network at a point of common coupling (PCC) to which a load is coupled. The metering device determines that the load draws reactive power from the grid network. The control node draws real power from the grid and converts the real power from the grid into reactive power. The conversion of real to reactive power occurs on the consumer side of the PCC. The conversion of real to reactive power enables delivery of reactive power to a local load from real power drawn from the grid.