Systems And Methods For Model-Driven Demand Response

• US 20160248250A1
• Filed: 04/04/2016
• Published: 08/25/2016
• Est. Priority Date: 03/23/2012
• Status: Abandoned Application

• Current Assignee: WaveTech Global Inc.
• Original Assignee: Power Analytics Corporation (PAC Global, Inc.)
• Inventors: Meagher, Kevin, Radibratovic, Branislav
• Application Number:
  US15/089,966
• Publication Number:
  US 20160248250A1
• Time in Patent Office: Days
• US Class Current: 1/1
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G06F 2119/06 Power analysis or power optimisation
• CPC Class Codes: G06F 30/20 Design optimisation, verification or simulation optimisation, verification or simulation of circuit designs G06F30/30
• CPC Class Codes: G06N 20/00 Machine learning
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y02P 80/10 Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

Systems and methods for model-based demand response are disclosed. An analytics server is communicatively connected to a data acquisition component and a virtual system model database. The data acquisition component is operable to acquire and transmit real-time data from a demand response (DR) power network to the analytic server. The virtual system model database is operable to provide a virtual system model of the DR power network. The analytics server is operable to generate predicted data based on the virtual system model of the DR power network and update the virtual system model in real time based on a difference between the predicted data and the real-time data. The analytics server is further operable to optimize DR output of the DR power network to a power grid.

Claims

1. A system for model-based demand response for an electrical power grid, comprising:

an analytics server communicatively connected to a data acquisition component and a virtual system model database;

wherein the data acquisition component is operable to acquire and transmit real-time data from a demand response (DR) electric power network to the analytic server;

wherein the virtual system model database is operable to provide a virtual system model of the DR power network;

wherein the analytics server is operable to generate predicted data based on the virtual system model of the DR power network and update the virtual system model in real time based on a difference between the predicted data and the real-time data;

wherein the analytics server is further operable to optimize DR output of the DR power network to a power grid.

2. The system of claim 1, wherein the data acquisition component is an advanced metering infrastructure (AMI) real-time system for an electric power grid.

3. The system of claim 2, wherein the AMI real-time system is operable to send aggregated telemetry, premise base points, total available capacity, load forecast, weather, and other additional information to the analytics server.

4. The system of claim 2, wherein the AMI real-time system is further operable to receive awards, bids, and settlements from the analytics server.

5. The system of claim 2, further comprising a client portal, wherein the client portal is operable to receive customer information from the AMI real-time system and the analytics server and provide a portal view.

6. The system of claim 1, wherein the analytics server is further operable to send total available capacity, load forecast, weather, and other information to a market participant Independent System Operator (ISO) scheduling and settlement system.

7. The system of claim 1, wherein the analytics server is further operable to receive awards, bids, and settlements from a market participant ISO scheduling and settlement system.

8. The system of claim 1, wherein the analytics server is further operable to send aggregated telemetry, premise base points, and total available capacity to a market participant generation management system.

9. The system of claim 1, wherein the analytics server is further operable to receive adjusted base points, emergency base points, and characteristics changes from a market participant generation management system.

10. The system of claim 1, wherein the analytics server is further operable to create regulation reports in support of DR payments based on the updated virtual system model.

11. A method for model-based demand response for an electrical power grid, comprising:

providing a virtual system model of demand response (DR) power network;

acquiring real-time data from the DR power network from a data acquisition component;

an analytic server generating predicted data based on the virtual system model of the DR power network;

the analytic server updating the virtual system model in real time based on a difference between the predicted data and the real-time data;

the analytic server optimizing DR output of the DR power network to a power grid.

12. The method of claim 11, wherein the data acquisition component is an advanced metering infrastructure (AMI) real-time system.

13. The method of claim 12, further comprising the AMI real-time system sending aggregated telemetry, premise base points, total available capacity, load forecast, weather, and other additional information to the analytics server.

14. The method of claim 12, further comprising the AMI real-time system receiving awards, bids, and settlements from the analytics server.

15. The method of claim 12, further comprising a client portal receiving customer information from the AMI real-time system and the analytics server and providing a portal view.

16. The method of claim 11, further comprising the analytics server sending total available capacity, load forecast, weather, and other information to a market participant ISO scheduling and settlement system.

17. The method of claim 11, further comprising the analytics server receiving awards, bids, and settlements from a market participant ISO scheduling and settlement system.

18. The method of claim 11, further comprising the analytics server sending aggregated telemetry, premise base points, and total available capacity to a market participant generation management system.

19. The method of claim 11, further comprising the analytics server receiving adjusted base points, emergency base points, and characteristics changes from a market participant generation management system.

20. The method of claim 11, further comprising the analytics server creating regulation reports in support of DR payments based on the updated virtual system model.