Forward-looking transactive pricing schemes for use in a market-based resource allocation system

• US 9,240,026 B2
• Filed: 03/18/2013
• Issued: 01/19/2016
• Est. Priority Date: 04/28/2011
• Status: Active Grant

• Current Assignee: Battelle Memorial Institute
• Original Assignee: Battelle Memorial Institute
• Inventors: Chassin, David P., Fuller, Jason C., Pratt, Robert G., Kumar, Nirupama Prakash, Fisher, Andrew R.
• Primary Examiner(s): Khattar, Rajesh
• Application Number:
  US13/846,637
• Publication Number:
  US 20130218743A1
• Time in Patent Office: 1,037 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: G06Q 30/08 Auctions
• CPC Class Codes: G06Q 40/00 Finance; Insurance; Tax strategies; Processing of corporate or income taxes
• CPC Class Codes: G06Q 40/04 Trading; Exchange, e.g. stocks, commodities, derivatives or currency exchange

Abstract

Disclosed herein are representative embodiments of methods, apparatus, and systems for distributing a resource (such as electricity) using a resource allocation system. One of the disclosed embodiments is a method for generating a bid value for purchasing electricity in a market-based resource allocation system. In this embodiment, a desired performance value indicative of a user'"'"'s desired performance level for an electrical device is received. Price information from an electricity futures market is received. A bid value for purchasing electricity from a local resource allocation market sufficient to operate the electrical device at the desired performance level is computed. In this embodiment, the computing is performed based at least in part on the desired performance value and based at least in part on the price information from the electricity futures market.

Claims

1. A method for operating an electrical device in a market-based resource allocation system, the method comprising:

receiving, by computing hardware associated with the electrical device, a user comfort setting selected by a user, the user comfort setting being selected from at least a first user comfort setting and a second user comfort setting, the first user comfort setting indicating the user'"'"'s willingness to pay more to achieve a desired performance level for the electrical device relative to the second user comfort setting;

receiving, by the computing hardware, a cleared price for electricity from a local resource allocation market from which the electrical device receives electricity;

receiving, by the computing hardware, price information from an electricity futures market;

computing, by the computing hardware, a probability value of operating the electrical device based at least in part on the user comfort setting, the cleared price for electricity from the local resource allocation market, and the price information from the electricity futures market;

generating, by the computing hardware, a random number;

determining, by the computing hardware, whether to operate the electrical device by comparing the random number to the probability value; and

activating or deactivating, by the computing hardware, the electrical device based on the comparison between the random number and the probability value.

2. The method of claim 1, wherein the electricity futures market is a day-ahead electricity market.

3. The method of claim 1, wherein the price information from the electricity futures market comprises cleared prices from the electricity futures market, and wherein the computing of the probability value is performed using an average of the cleared prices from the electricity futures market and a standard deviation of the cleared prices from the electricity futures market.

4. The method of claim 3, further comprising computing the average and the standard deviation with the computing hardware or receiving the average and the standard deviation from a remote source.

5. The method of claim 1, wherein the computing of the probability value is performed based at least in part on the price information from the electricity futures market and at least in part on price information from the local resource allocation market.

6. The method of claim 5, wherein the computing of the probability value is performed based at least in part on one or more weighted sums computed from the price information from the electricity futures market and from the price information for the local resource allocation market.

7. The method of claim 6, wherein one or more of the weighted sums is controlled by a variable weighting factor.

8. The method of claim 5, wherein the price information from the electricity futures market comprises price information from a fixed window of time from a day-ahead electricity market, and wherein the price information from the local resource allocation market comprises price information for a rolling window of time.

9. The method of claim 1, wherein the electrical device is one of an air-conditioning unit, heating unit, hot water heater, refrigerator, dish washer, washing machine, dryer, oven, microwave oven, pump, home lighting system, electric vehicle charger, or home electrical system.

10. One or more non-transitory computer-readable media storing computer-executable instructions for causing a computer to perform a method for operating an electrical device in a market-based resource allocation system, the method comprising:

receiving a user comfort setting selected by a user, the user comfort setting being selected from at least a first user comfort setting and a second user comfort setting, the first user comfort setting indicating the user'"'"'s willingness to pay more to achieve a desired performance level for the electrical device relative to the second user comfort setting;

receiving a cleared price for electricity from a local resource allocation market from which the electrical device receives electricity;

receiving price information from an electricity futures market;

computing a probability value of operating the electrical device based at least in part on the user comfort setting, the cleared price for electricity from the local resource allocation market, and the price information from the electricity futures market;

generating a random number;

determining whether to operate the electrical device by comparing the random number to the probability value; and

activating or deactivating the electrical device based on the comparison between the random number and the probability value.

12. The one or more non-transitory computer-readable media of claim 10, wherein the electricity futures market is a day-ahead electricity market.

13. The one or more non-transitory computer-readable media of claim 10, wherein the price information from the electricity futures market comprises cleared prices from the electricity futures market, and wherein the computing of the probability value is performed using an average of the cleared prices from the electricity futures market and a standard deviation of the cleared prices from the electricity futures market.

14. The one or more non-transitory computer-readable media of claim 13, wherein the method further comprises computing the average and the standard deviation with the computing hardware or receiving the average and the standard deviation from a remote source.

15. The one or more non-transitory computer-readable media of claim 10, wherein the computing of the probability value is performed based at least in part on the price information from the electricity futures market and at least in part on price information from the local resource allocation market.

16. The one or more non-transitory computer-readable media of claim 15, wherein the computing of the probability value is performed based at least in part on one or more weighted sums computed from the price information from the electricity futures market and from the price information for the local resource allocation market.

17. The one or more non-transitory computer-readable media of claim 16, wherein one or more of the weighted sums is controlled by a variable weighting factor.

18. The one or more non-transitory computer-readable media of claim 15, wherein the price information from the electricity futures market comprises price information from a fixed window of time from a day-ahead electricity market, and wherein the price information from the local resource allocation market comprises price information for a rolling window of time.

19. The one or more non-transitory computer-readable media of claim 10, wherein the electrical device is one of an air-conditioning unit, heating unit, hot water heater, refrigerator, dish washer, washing machine, dryer, oven, microwave oven, pump, home lighting system, electric vehicle charger, or home electrical system.

11. A system comprising memory and a processor programmed to operate an electrical device in a market-based resource allocation system, the processor programmed to:

receive a user comfort setting selected by a user, the user comfort setting being selected from at least a first user comfort setting and a second user comfort setting, the first user comfort setting indicating the user'"'"'s willingness to pay more to achieve a desired performance level for the electrical device relative to the second user comfort setting;

receive a cleared price for electricity from a local resource allocation market from which the electrical device receives electricity;

receive price information from an electricity futures market;

compute a probability value of operating the electrical device based at least in part on the user comfort setting, the cleared price for electricity from the local resource allocation market, and the price information from the electricity futures market;

generate a random number;

determine whether to operate the electrical device by comparing the random number to the probability value; and

activate or deactivate the electrical device based on the comparison between the random number and the probability value.