Xslent Energy Technologies, LLC

Apparent Labs, LLC

Turin Networks

Other

Frank P Marrone

Stefan Matan

Fred C Horton

William B Westbrock

Joseph M Klemm

Arnold F McKinley

Kurt W Wiseman

Arnold F Mckinley

Dirk Brandis

Jr Westbrock William B

Mats Lund

Mats Frannhagen

David Chen

Steve West

Russ Smith

Clayton Borzini

Jr Westbrook William B

Bill B Westbrook

M Jamie Bullen

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.

Modular power grid

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.

Virtual power grid

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.

Intelligent grid operating system to manage distributed energy resources in a grid network

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.

Distributed grid node with intelligent battery backup

A control node enables distributed grid control. The control node monitors power generation and power demand at a point of common coupling (PCC) between a utility power grid and all devices downstream from the PCC. The control node can have one or more consumer nodes, which can be or include customer premises, and one or more energy sources connected downstream. The control node monitors and controls the interface via the PCC from the same side of the PCC as the power generation and power demand. The control can include adjusting the interface between the control node and the central grid management via the PCC to maintain compliance with grid regulations at the PCC.

Hierarchical and distributed power grid control

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.

Grid network gateway aggregation

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.

Total harmonic control

Distributed grid intelligence enables grid saturation control. A distributed control node can determine that a segment of the power grid exceeds a saturation threshold. A power grid can be saturated by real power when local power sources at customer premises are connected to the grid. The grid saturation threshold can be a point at which real power generation capacity of local energy sources exceeds a threshold percentage of peak real power demand for the power grid segment where the power generation capacity exists. The control node at a consumer node can dynamically adjust a ratio of real power to reactive power for the segment of the power grid as seen from the grid, and reduce grid saturation.

Power grid saturation control with distributed grid intelligence

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.

Power transfer management for local power sources of a grid-tied load

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.

Distributed power grid control with local VAR control

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.

Energy signatures to represent complex current vectors

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.

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Cloverdale, CA, United States of America

Frank P Marrone