Grid optimization resource dispatch scheduling

• US 9,523,967 B2
• Filed: 03/14/2014
• Issued: 12/20/2016
• Est. Priority Date: 04/30/2012
• Status: Expired due to Fees

• Current Assignee: Innovari, Inc.
• Original Assignee: Innovari, Inc.
• Inventors: Friedrich, Loran, Pierce, Eric, Hill, Jason, Tillett, James, Walden, David, Raymond, Laura V., Hickman, Chris, Do, Phong
• Primary Examiner(s): DUNN, DARRIN D
• Application Number:
  US14/211,045
• Publication Number:
  US 20140222238A1
• Time in Patent Office: 1,012 Days
• Field of Search: 700/286, 700/291, 700/295, 700/297
• US Class Current: 1/1
• CPC Class Codes: G05B 13/02 electric
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/0631 Resource planning, allocation, distributing or scheduling for enterprises or organisations
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 3/003 Load forecast, e.g. methods or systems for forecasting future load demand
• CPC Class Codes: H02J 3/04 for connecting networks of the same frequency but supplied from different sources
• 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

Abstract

Data comprising a request specifying a desired change in electrical load for a defined period of time is received. The electrical load is associated with a plurality of resources under control of resource agents and on a utility grid. Available capacity of resources within the control of each resource agent over the defined period of time is determined. Each available capacity is determined at least using a resource load model. Using the determined available capacity of resources over the defined period of time, resource scheduling instructions are calculated for a subset of resources. The resource scheduling instructions satisfy the desired change in electrical load of the request. Data characterizing the resource scheduling instructions is provided. Related systems, apparatus, methods, and articles are also described.

Claims

1. A method for implementation by one or more data processors, the method comprising:

receiving, by the one or more data processors, data indicating discrepancies between expected and actual change in electrical load of a resource, the expected change in electrical load based on a previously transmitted first resource scheduling instruction including expected change in electrical load;

calculating, using the received data and the one or more data processors, a lost capacity envelope based on a load on the resource, a duration defined by a deployment rule, and an indication of how often the resource can accept an instruction, the lost capacity envelope being an estimate of future discrepancies between expected and actual change in electrical load and varying over time;

processing, when the discrepancies between expected and actual resource performance exceeds a predetermined magnitude, a second resource scheduling instruction specifying a desired change in electrical load according to the lost capacity envelope, the second resource scheduling instruction comprising the lost capacity envelope; and

providing, using the one or more data processors, data characterizing the second resource scheduling instruction to a resource agent and controlling a switched load based on said data characterizing the second resource scheduling instruction.

2. The method of claim 1, wherein the data characterizing the resource scheduling instruction is provided to a plurality of different resource agents in control of one or more respective switched loads.

3. The method of claim 1, further comprising:

providing, using the one or more data processors, the data indicating discrepancies between expected and actual change in electrical load of the resource.

4. The method of claim 1, further comprising:

determining, using the one or more data processors, available capacity of a plurality of different resources within control of different respective resource agents over a defined period of time by accessing at least one data source comprising predefined parameterized load models.

5. The method of claim 4, wherein the determined available capacity is sufficient to satisfy the lost capacity envelope.

6. The method of claim 1, wherein the deployment rule includes one or more of:

a duration a given resource may be dispatched, a rest period of a given resource, and one or more operational constraints on a given resource.

7. The method of claim 1, wherein providing data includes one of persisting, displaying, and transmitting.

8. The method of claim 1 wherein the switched load is selected from the group consisting of:

lighting, heating, and heating, ventilation, and air conditioning (HVAC) units.

9. A method for implementation by one or more data processors, the method comprising:

receiving, by the one or more data processors, data indicating discrepancies between expected and actual change in electrical load of each of a plurality of resources, the expected change in electrical load based on a previously transmitted first resource scheduling instruction corresponding to the resource;

calculating, using the received data and the one or more data processors, an aggregate lost capacity envelope across all of the resources, the aggregate lost capacity envelope being an aggregate estimate of future discrepancies between expected and actual change in electrical load of the plurality of resources and varying over time;

processing, when the discrepancies between expected and actual resource performance exceeds a predetermined magnitude, a second resource scheduling instruction specifying a desired change in electrical load according to the aggregate lost capacity envelope, the second resource scheduling instruction comprising the aggregate lost capacity envelope; and

providing, using the one or more data processors, data characterizing the second resource scheduling instruction to a resource agent and controlling a switched load based on said data characterizing the second resource scheduling instruction.

10. The method of claim 9, wherein the data characterizing the resource scheduling instruction is provided to a plurality of different resource agents each in control of one or more respective different switched loads.

11. The method of claim 9, further comprising:

providing, using the one or more data processors, the data indicating discrepancies between expected and actual change in electrical load of the plurality of resources.

12. The method of claim 9, further comprising:

determining, using the one or more data processors, available capacity of a plurality of different resources within control of different respective resource agents over a defined period of time by accessing at least one data source comprising predefined parameterized load models.

13. The method of claim 12, wherein the determined available capacity is sufficient to satisfy the lost capacity envelope.

14. The method of claim 9, wherein the deployment rule includes one or more of:

a duration a given resource may be dispatched, a rest period of a given resource, and one or more operational constraints on a given resource.

15. The method of claim 9, wherein providing data includes one of persisting, displaying, and transmitting.

16. The method of claim 9 wherein the switched load is selected from the group consisting of:

lighting, heating, and heating, ventilation, and air conditioning (HVAC) units.