Collaborative load balancing within a community of energy nodes
US-2018011507-A1 · Jan 11, 2018 · US
US11437824B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11437824-B2 |
| Application number | US-202117143658-A |
| Country | US |
| Kind code | B2 |
| Filing date | Jan 7, 2021 |
| Priority date | Feb 24, 2015 |
| Publication date | Sep 6, 2022 |
| Grant date | Sep 6, 2022 |
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Techniques are disclosed for implementing a scalable hierarchical energy distribution grid utilizing homogeneous control logic are disclosed that provide distributed, autonomous control of a multitude of sites in an energy system using abstraction and aggregation techniques. A hierarchical energy distribution grid utilizing homogeneous control logic is provided that includes multiple control modules arranged in a hierarchy. Each control module can implement a same energy optimization scheme logic to directly control site energy resources and possibly energy resources of sites associated with control modules existing below it in the hierarchy. Each control module can act autonomously through use a similar set of input values to the common optimization scheme logic.
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What is claimed is: 1. A method, comprising: executing, by a control module configured as a parent to a plurality of child control modules arranged in a hierarchy, an optimization scheme logic to control one or more devices at a site associated with the control module to achieve an energy goal, wherein each of the plurality of child control modules executes a same optimization scheme logic as the control module, the executing comprising: determining an aggregate energy generation value of a plurality of sites associated with the plurality of child control modules; determining an aggregate energy storage value indicating an amount of stored energy at the plurality of sites; determining an aggregate load value indicating an amount of energy utilized at the plurality of sites; determining based upon the aggregate energy generation value, the aggregate energy storage value, and the aggregate load value, whether to cause the one or more devices to provide energy to one or more of the plurality of sites; and causing the one or more devices to provide energy to one or more of the plurality of sites based on the aggregate energy generation value, the aggregate energy storage value and the aggregate load value. 2. The method of claim 1 , wherein the determining whether to provide the energy comprises: determining, by the control module, a net flow of energy between the plurality of sites and an external energy system exceeds a threshold amount. 3. The method of claim 2 , wherein: the determining whether to provide the energy further comprises determining an energy need amount based upon a difference between the net flow of energy and the threshold amount; and the executing further comprises providing a threshold amount of energy from the one or more devices of the site to the one or more of the plurality of sites. 4. The method of claim 1 , wherein the control module is also configured as a child of a parent control module. 5. The method of claim 1 , wherein photovoltaic devices generate at least a portion of a total amount of energy generated by at least one of the plurality of sites. 6. The method of claim 1 , wherein the control module is in wireless communication with the plurality of sites. 7. A non-transitory computer readable storage medium storing instructions that, when executed by one or more processors of a computing device, cause a control module of the computing device to: execute an optimization scheme logic to control one or more devices at a site associated with the control module to achieve an energy goal, wherein the control module is configured as a parent to a plurality of child control modules arranged in a hierarchy and wherein each of the plurality of child control modules executes a same optimization scheme logic as the control module, the executing comprising: determining an aggregate energy generation value of a plurality of sites associated with the plurality of child control modules; determining an aggregate energy storage value indicating an amount of stored energy at the plurality of sites; determining an aggregate load value indicating an amount of energy utilized at the plurality of sites; determining based upon the aggregate energy generation value, the aggregate energy storage value, and the aggregate load value, whether to cause the one or more devices to provide energy to one or more of the plurality of sites; and causing the one or more devices to provide energy to one or more of the plurality of sites based on the aggregate energy generation value, the aggregate energy storage value and the aggregate load value. 8. The non-transitory computer readable storage medium of claim 7 , wherein the determining whether to provide the energy comprises: determining, by the control module, a net flow of energy between the plurality of sites and an external energy system exceeds a threshold amount. 9. The non-transitory computer readable storage medium of claim 8 , wherein: the determining whether to provide the energy further comprises determining an energy need amount based upon a difference between the net flow of energy and the threshold amount; and the executing further comprises providing a threshold amount of energy from the one or more devices of the site to the one or more of the plurality of sites. 10. The non-transitory computer readable storage medium of claim 7 , wherein the control module is also configured as a child of a parent control module. 11. The non-transitory computer readable storage medium of claim 7 , wherein photovoltaic devices generate at least a portion of a total amount of energy generated at by at least one of the plurality of sites. 12. The non-transitory computer readable storage medium of claim 7 , wherein the control module is in wireless communication with the plurality of sites. 13. The non-transitory computer readable storage medium of claim 7 , wherein the energy goal is based at least in part on a price associated with taking energy from an electrical grid.
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