OPTIMIZING A SELECTION OF DEMAND RESPONSE RESOURCES

• US 20150019275A1
• Filed: 07/11/2013
• Published: 01/15/2015
• Est. Priority Date: 07/11/2013
• Status: Abandoned Application

• Current Assignee: Honeywell International Inc.
• Original Assignee: Honeywell International Inc.
• Inventors: Koch, Edward
• Application Number:
  US13/939,935
• Publication Number:
  US 20150019275A1
• Time in Patent Office: Days
• US Class Current: 705/7.12
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations

Abstract

A system that fulfills a requirement for optimizing and automating a process of demand response (DR) resource selection for DR events by utilizing a scoring function that can be easily applied against each individual resource to create a ranking of each resource. The scoring function may take into account both the capabilities and the costs associated with using the resource. In other words, the DR resource may have a set of attributes that are used as factors in the scoring function. Furthermore, the scoring function may have a form that supports operations by the utility operator. The selection process may then be easily automated by simply selecting enough of the highest ranked resources that satisfy the load objectives of the DR events.

Claims

1. A method for selection of a demand response (DR) resource, comprising:

providing a program comprising a utility/independent system operator (ISO), a DR resource, and a DR signal from the utility/ISO to the DR resource relative to a DR event initiated by the utility/ISO;

determining a nature and timing of a DR event;

setting forth a set of attributes relevant to the DR event;

selecting attributes from the set of attributes that are relevant for evaluating a DR resource;

developing a set of scoring factors for correlation with the attributes selected from the set of attributes;

assigning a value to each of the factors corresponding to an attribute in view of a relationship, if applicable, of the DR resource relative to the DR event; and

adding the values of the factors together to obtain a score of the DR resource; and

wherein the factors are of a polynomial used to obtain the score for evaluating the DR resource.

2. The method of claim 1, wherein the polynomial can be defined by an operator.

3. The method of claim 1, further comprising selecting attributes from the set of attributes that are relevant for evaluating an additional DR resource.

4. The method of claim 1, wherein each factor has a value from 0 to 1.

5. The method of claim 1, wherein the value of a factor corresponding to an attribute is increased or decreased according to a relationship between the DR resource and the DR event.

6. The method of claim 3, further comprising creating a ranking of each DR resource according to the scores of the DR resources.

7. The method of claim 6, wherein an obtaining the score of each DR resource and creating the ranking of each DR resource is an automatic process.

8. The method of claim 7, wherein selecting one or more DR resources having the highest ranking is an optimizing process.

9. The method of claim 6, wherein selecting enough of the highest ranked resources to satisfy load objectives of the DR event, is automated.

10. The method of claim 1, wherein:

a DR resource is modeled by a characterization with attributes selected from the set of attributes; and

the selected attributes specify load consumption capabilities and costs of the load consumption capabilities.

11. The method of claim 10, the selected attributes are one or more attributes selected from a group consisting of forecasted load profiles under normal conditions, forecasted load profiles during a DR event, real-time load profiles, availability schedules of a DR resource, utility fixed financial costs, utility performance based financial costs, DR resource owner financial costs, DR resource owner inconvenience costs, and mileage left on the resource.

12. A demand response system comprising:

a utility/ISO; and

a DR resource selected for a connection with the utility/ISO; and

wherein;

the utility/ISO can initiate an event and call upon a DR resource with a DR signal to affect load consumption;

the DR resource is selected from a group of available resources;

each DR resource of the group of available DR resources is provided a score according to values assigned to attributes that specify load consumption capabilities and costs of the respective DR resource; and

the DR resource is selected according to the score.

13. The system of claim 12, wherein one or more additional DR resources are selected according to scores in view of load objectives of a DR event.

14. The system of claim 12, wherein a score is determined by a polynomial incorporating factors representing attributes that specify load consumption capabilities and costs of the respective DR resource being provided the score.

15. The system of claim 12, wherein one or more DR resources are selected automatically selected according to scores with a computer.

16. The system of claim 12, the attributes are selected from a group consisting of forecasted load profiles under normal conditions, forecasted load profiles during a DR event, real-time load profiles, availability schedules of a DR resource, utility fixed financial costs, utility performance based financial costs, DR resource owner financial costs, DR resource owner inconvenience costs, and mileage left on the resource.

17. A mechanism for selecting resources in a DR system, comprising:

a utility/ISO; and

wherein;

the utility/ISO enrolls customers into a DR program and models the customers as DR resources;

when the utility/ISO initiates a DR event, the utility/ISO sends a DR resource a DR signal to affect a load consumption of the DR resource;

the DR event is initiated when objectives to be accomplished during the DR event are determined;

the utility selects a DR resource from available DR resources according to a scoring process; and

the scoring process comprises evaluating a DR resource in terms of a numerical value against one or more attributes of capabilities and costs relative to use of the DR resource.

18. The mechanism of claim 17, wherein the objectives comprises:

a specific amount of load response over a predetermined amount of time;

a specific amount of load associated with a particular grid or geographic location;

a certain type of load; and

/or

a load with a set maximum response time.

19. The mechanism of claim 18, wherein the scoring process supports:

a selection of attributes relevant to selecting a DR resource;

a selection of how the attributes are applied in the scoring function; and

/or

increasing or decreasing relevance of an attribute in terms of a numerical value that affects the scoring process.

20. The mechanism of claim 18, wherein:

scoring factors designate the attributes, respectively;

each factor has a numerical value that indicates how well a corresponding designated attribute satisfies the objectives; and

a polynomial containing the factors provides a score that comprises an evaluation of the DR resource.

21. The mechanism of claim 20, wherein:

one or more DR resources are selected from two or more available and evaluated DR resources according to scores; and

the two or more available and evaluated resources are ranked according to the scores.

22. The mechanism of claim 20, wherein the polynomial is defined by an operator.