Systems and methods for local demand optimization
Systems and methods are provided, which provide for the de-centralization of the logic necessary to perform electrical optimization of any contained electrical system. The systems and methods de-centralize, or distribute, electrical optimization logic into intelligent devices which are locally connected to both the generation and loads, in such a way that control can be asserted over these resources. The inventive systems and methods require less infrastructure and communication backbone to IT/Data Center infrastructure than are typically required by previous systems and methods known in the art.
1. A method for Local Demand Optimization of electricity market systems, that supports intelligent devices which are locally connected to generation(s) and load(s) comprising the following steps:
an Intelligent Gateway for monitoring and controlling equipment and devices;
generation from solar, status of storage, and power consumption from loads being monitored;
set points and/or forecasts for local decisions and optimization actions;
programmable limits and thresholds;
stepping on loads to gradually re-introduce them onto the larger grid; and
device default values or pre-configured information from a cloud connection allowing optimization actions to happen without instructions from a larger or centralized system.
2. The method of claim 1 , further comprising a medium collecting data points very frequently (less than one second), wherein said medium can be, but is not limited to:
Zigbee;
WiFi;
Ethernet;
CANbus;
Modbus;
BACnet and
DNP.
3. The method of claim 1 , further comprising a medium wherein an integrated device controls all equipment involved.
4. The method of claim 1 , further comprising uploading data points to a cloud-based system for higher-level application integration such as, but not limited to mobile or web-based software.
5. The method of claim 1 , further comprising cloud data connection or home area networking protocol wherein the set points and/or forecasts can be obtained.
6. The method of claim 1 , further comprising DR/DER decisions.
7. The method of claim 1 , further comprising enacted by protocol or direct control.
8. The method of claim 1 , further comprising programmable limits and thresholds, wherein optimization actions are performed.
9. The method of claim 8 , further utilizing a proportional-integral-derivative controller (PID).
10. The method of claim 8 , further utilizing a proportional-integral controller (PID).
11. The method of claim 8 , further utilizing if-then clause rules.
12. The method of claim 1 , further comprising an enterprise system integration via cloud connection.
13. The method of claim 12 , further utilizing download of programmable limits and thresholds.
14. The method of claim 12 , further utilizing re-introduction of loads onto the larger grid.
15. The method of claim 12 , wherein the cloud connection can enhance local logic.
16. A system comprising:
An Intelligent Gateway configured to:
monitoring and controlling equipment and devices;
monitoring generation from solar, status of storage, and power consumption from loads being monitored;
monitoring set points and/or forecasts for local decisions and optimization actions;
programmable limits and thresholds;
stepping on loads to gradually re-introduce them onto the larger grid; and
device default values or pre-configured information from a cloud connection allowing optimization actions to happen without instructions from a larger or centralized system.
17. The system of claim 16 , wherein said medium can be, but is not limited to;
Zigbee;
WiFi;
Ethernet;
CANbus;
Modbus;
BACnet and
DNP.
18. The system of claim 16 , further comprising a medium wherein an integrated device controls all equipment involved.
19. The system of claim 16 , further comprising uploading data points to a cloud-based system for higher-level application integration such as, but not limited to mobile or web-based software.
20. The system of claim 16 , further comprising cloud data connection or home area networking protocol wherein the set points and/or forecasts can be obtained.
21. The system of claim 16 , further comprising DR/DER decisions.
22. The system of claim 16 , further comprising enacted by protocol or direct control.
23. The system of claim 16 , further comprising programmable limits and thresholds, wherein optimization actions are performed.
24. The method of claim 23 , further utilizing a proportional-integral-derivative controller (PID).
25. The method of claim 23 , further utilizing a proportional-integral controller (PID).
26. The method of claim 23 , further utilizing if-then clause rules.
27. The system of claim 16 , further comprising an enterprise system integration via cloud connection.
28. The method of claim 27 , further utilizing download of programmable limits and thresholds.
29. The method of claim 27 , further utilizing re-introduction of loads onto the larger grid.
30. The method of claim 27 , wherein the cloud connection can enhance local logic.