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.

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.

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.

An energy management system includes: a communication interface connecting the energy management system to a plurality of devices configured to draw power from an electrical circuit of a premises including a backup power system; a database connected to the backup power system by the electrical circuit and storing energy usage data of the plurality of devices and a user preference associated with the plurality of devices; a triggering condition determination module configured to detect an energy issue at the premises; a recommendation module configured to retrieve the energy usage data and the user preference upon detecting the energy issue and determine prioritization information of the plurality devices based on the energy usage data and the user preference; and a device manager configured to control a power usage of the plurality of devices using the prioritization information.

An energy management system includes: a communication interface connecting the energy management system to a plurality of devices configured to draw power from an electrical circuit of a premises including a backup power system; a database connected to the backup power system by the electrical circuit and storing energy usage data of the plurality of devices and a user preference associated with the plurality of devices; a triggering condition determination module configured to detect an energy issue at the premises; a recommendation module configured to retrieve the energy usage data and the user preference upon detecting the energy issue and determine prioritization information of the plurality devices based on the energy usage data and the user preference; and a device manager configured to control a power usage of the plurality of devices using the prioritization information.

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.

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.

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.

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.