SYSTEM AND METHOD FOR SCHEDULING DEMAND RESPONSE EVENTS IN A NETWORK

• US 20110258018A1
• Filed: 05/28/2010
• Published: 10/20/2011
• Est. Priority Date: 04/19/2010
• Status: Abandoned Application

• Current Assignee: General Electric Company
• Original Assignee: General Electric Company
• Inventors: Black, Jason Wayne, Tyagi, Rajesh
• Application Number:
  US12/790,655
• Publication Number:
  US 20110258018A1
• Time in Patent Office: Days
• US Class Current: 705/7.33
• CPC Class Codes: G06Q 30/02 Marketing; Price estimation or determination; Fundraising
• CPC Class Codes: G06Q 30/0202 Market predictions or forecasting for commercial activities
• CPC Class Codes: G06Q 30/0204 Market segmentation
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 13/00016 using a wired telecommunication network or a data transmission bus
• CPC Class Codes: H02J 13/00028 involving the use of Internet protocols
• CPC Class Codes: H02J 2310/54 according to a pre-established time schedule
• CPC Class Codes: H02J 3/144 Demand-response operation of the power transmission or distribution network
• CPC Class Codes: Y02B 70/3225 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 10/50 Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
• CPC Class Codes: Y04S 20/222 Demand response systems, e.g. load shedding, peak shaving
• CPC Class Codes: Y04S 40/124 using wired telecommunication networks or data transmission busses
• CPC Class Codes: Y04S 50/14 Marketing, i.e. market research and analysis, surveying, promotions, advertising, buyer profiling, customer management or rewards

Abstract

A system and method for receiving demand response data and for grouping customers into customer groups based on the demand response data. One or more of the customer groups is scheduled for a demand response event based on the demand response data and forecast data. The selected customer groups are notified and the demand response is implemented for the selected customer groups.

Claims

1. A system, comprising:

a database to store demand response data;

a demand response module to group customers into customer groups based on the demand response data, and to schedule one or more of the customer groups for a demand response event based on the demand response data and forecast data; and

a controller to implement the demand response event for the one or more customer groups scheduled for the demand response event.

2. The system of claim 1, further comprising:

a monitor computer to monitor power grid operations.

3. The system of claim 1, wherein the demand response module establishes the customer groups based on demand response program parameters for at least one demand response program.

4. The system of claim 3, wherein the demand response module assigns the customers into the customer groups based on the demand response data.

5. The system of claim 1, wherein the demand response data includes at least one of demand response program parameters, load and demand characteristics of the customers, rebound parameters of the customers, or customer attributes including geographic location, power phase, types of appliances, and load shed windows.

6. The system of claim 1, wherein the forecast data includes at least one of weather data, price data, or load data.

7. A method, comprising:

receiving demand response data;

grouping customers into customer groups based on the demand response data;

scheduling one or more of the customer groups for a demand response event based on the demand response data and forecast data;

notifying the one or more customer groups of the demand response event; and

implementing the demand response event for the one or more customer groups.

8. The method of claim 7 further comprising:

determining program parameters for each available demand response program from the demand response data;

establishing the customer groups for each available demand response program; and

assigning the customers to the customer groups based on the demand response data.

9. The method of claim 8, wherein each of the customers belongs to at least one of the customer groups.

10. The method of claim 7, further comprising:

identifying a demand response program from available demand response programs;

identifying an event trigger criteria for the demand response program; and

estimating a distribution of the event trigger criteria in future periods of time.

11. The method of claim 10, further comprising:

updating the customer groups and the distribution as a number of customers changes.

12. The method of claim 10, further comprising:

determining a customer group from the customer groups corresponding to optimal performance benefits based on a difference between a current benefit of including the customer group in the demand response event and an estimated future benefit of saving the customer group for inclusion in a future demand response event;

comparing the optimal performance benefits of the customer group with a predetermined threshold; and

selecting the customer group for the demand response event when the optimal performance benefits are greater than the predetermined threshold.

13. The method of claim 12, further comprising:

updating utility forecast information based on an estimated use reduction and rebound corresponding to the customer group selected for the demand response event.

14. The method of claim 12, further comprising:

repeating the determining, comparing and selecting process until all of the customer groups are processed.

15. A computer-readable medium comprising computer-readable instructions of a computer program that, when executed by a processor, cause the processor to perform a method, the method comprising:

receiving demand response data;

grouping customers into customer groups based on the demand response data;

scheduling one or more of the customer groups for a demand response event based on the demand response data and forecast data;

notifying the one or more customer groups of the demand response event; and

implementing the demand response event for the one or more customer groups.

16. The computer-readable medium of claim 15, the method further comprising:

determining program parameters for each available demand response program from the demand response data;

establishing the customer groups for each available demand response program; and

assigning the customers to the customer groups based on the demand response data.

17. The computer-readable medium of claim 16, wherein each of the customers belongs to at least one of the customer groups.

18. The computer-readable medium of claim 15, the method further comprising:

identifying a demand response program from available demand response programs;

identifying an event trigger criteria for the demand response program; and

estimating a distribution of the event trigger criteria in future periods of time.

19. The computer-readable medium of claim 18, the method further comprising:

updating the customer groups and the event trigger criteria distribution as a number of customers changes.

20. The computer readable medium of claim 18, the method further comprising:

determining a customer group from the customer groups corresponding to optimal performance benefits based on a difference between a current benefit of including the customer group in the demand response event and an estimated future benefit of saving the customer group for inclusion in a future demand response event;

comparing the optimal performance benefits of the customer group with a predetermined threshold; and

selecting the customer group for the demand response event when the optimal performance benefits are greater than the predetermined threshold.

21. The computer-readable medium of claim 20, the method further comprising:

updating utility forecast information based on an estimated use reduction and rebound corresponding to the customer group selected for the demand response event.

22. The computer-readable medium of claim 20, further comprising:

repeating the determining, comparing and selecting process until all of the customer groups are processed.