Multi-interval dispatch system tools for enabling dispatchers in power grid control centers to manage changes

• US 9,824,319 B2
• Filed: 01/21/2015
• Issued: 11/21/2017
• Est. Priority Date: 07/02/2010
• Status: Active Grant

• Current Assignee: General Electric Technology GmbH (GE Vernova, Inc.)
• Original Assignee: General Electric Technology GmbH (GE Vernova, Inc.)
• Inventors: Sun, David, Cheung, Kwok, Wang, Xing, Chiu, But-Chung, Xiao, Ying
• Primary Examiner(s): Kasenge, Charles
• Application Number:
  US14/601,838
• Publication Number:
  US 20150142499A1
• Time in Patent Office: 1,035 Days
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06F 16/25 Integrating or interfacing systems involving database management systems
• CPC Class Codes: G06Q 10/06314 Calendaring for a resource
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• 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

A system tool that provides dispatchers in power grid control centers with a capability to manage changes. Included is a user interface and a plurality of scheduler engines. Each scheduler engine is configured to look ahead at different time frames to forecast system conditions and alter generation patterns within the different time frames. A comprehensive operating plan holds schedules generated by the plurality of scheduler engines. A relational database is coupled to the comprehensive operating plan. Input data is initially received from the relational database for each scheduling engine, and thereafter the relational database receives data from the scheduling engines relative to forecast system conditions.

Claims

1. A system, comprising:

a processor; and

a memory communicatively coupled to the processor, the memory having stored therein computer-executable instructions, comprising;

a plurality of scheduler engines, respectively having different look-ahead periods, configured to generate respective schedules that forecast availability of at least one energy source employed in generation of electrical power in a power grid; and

an energy system tool configured to;

generate a comprehensive operating plan that merges the respective schedules generated by the plurality of scheduler engines,

dispatch at least one resource of the power grid according to the comprehensive operating plan to generate the electrical power in the power grid using the at least one energy source, and

trigger an update of the comprehensive operating plan in response to at least one of a minimum uptime or minimum downtime associated with the at least one resource being determined to have been reached.

2. The system of claim 1, further comprising a user interface configured to display at least one of the respective schedules or a resource dispatch.

3. The system of claim 1, wherein at least one scheduler engine of the plurality of scheduler engines is a mixed integer programming based optimization application and at least one other scheduler engine of the plurality of scheduler engines is a linear programming based optimization application.

4. The system of claim 1, wherein at least one scheduler engine of the plurality of scheduler engines employs an emission quota in generating a schedule of the respective schedules.

5. The system of claim 1, wherein at least one scheduler engine of the plurality of scheduler engines generates a schedule based upon another schedule generated from another scheduler engine of the plurality of scheduler engines.

6. The system of claim 3, wherein the at least one scheduler engine that is a mixed integer programming based optimization application has a longer look-ahead period than a look-ahead period of the at least one other scheduler engine that is a linear programming based optimization application.

7. The system of claim 1, wherein at least one scheduler engine of the plurality of scheduler engines employs a constraint defining a maximum number of startups or shutdowns for the at least one resource in generating a schedule of the respective schedules.

8. A method, comprising:

generating, by a system including a processor via a plurality of scheduler engines respectively having different look-ahead periods, respective schedules associated with the plurality of scheduler engines that forecast availability of at least one energy source employed in generation of electrical power in a power grid, wherein at least one scheduler engine of the plurality of scheduler engines is a mixed integer programming based optimization application and at least one other scheduler engine of the plurality of scheduler engines is a linear programming based optimization application;

generating, by the system, a comprehensive operating plan based on merging the respective schedules;

dispatching, by the system, at least one resource of the power grid based on the comprehensive operating plan to generate the electrical power in the power grid using the at least one energy source; and

trigger, by the system, an update of the comprehensive operating plan in response to at least one of a minimum uptime or minimum downtime associated with the at least one resource being determined to have been reached.

9. The method of claim 8, further comprising displaying, by the system, at least one of the respective schedules or a resource dispatch.

10. The method of claim 8, wherein at least one scheduler engine of the plurality of scheduler engines is a mixed integer programming based optimization application and at least one other scheduler engine of the plurality of scheduler engines is a linear programming based optimization application.

11. The method of claim 8, wherein at least one scheduler engine of the plurality of scheduler engines employs an emission quota in generating a schedule of the respective schedules.

12. The method of claim 8, wherein at least one scheduler engine of the plurality of scheduler engines generates a schedule based upon another schedule generated from another scheduler engine of the plurality of scheduler engines.

13. The method of claim 10, wherein the at least one scheduler engine that is a mixed integer programming based optimization application has a longer look-ahead period than a look-ahead period of the at least one other scheduler engine that is a linear programming based optimization application.

14. The method of claim 8, wherein at least one scheduler engine of the plurality of scheduler engines employs a constraint defining a maximum number of startups or shutdowns for the at least one resource in generating a schedule of the respective schedules.

15. A non-transitory computer-readable medium having instructions stored thereon that, in response to execution, cause a system including a processor to perform operations comprising:

generating, via a plurality of scheduler engines respectively having different look-ahead periods, respective schedules associated with the plurality of scheduler engines that forecast availability of at least one energy source employed in connection with generation of electrical power in a power grid, wherein at least one scheduler engine of the plurality of scheduler engines employs a constraint defining a maximum number of startups or shutdowns for the at least one resource in generating a schedule of the respective schedules;

generating a comprehensive operating plan based on merging the respective schedules; and

dispatching at least one resource of the power grid based on the comprehensive operating plan to generate the electrical power in the power grid using the at least one energy source.

16. The non-transitory computer-readable medium of claim 15, the operations further comprising displaying at least one of the respective schedules or a resource dispatch.

17. The non-transitory computer-readable medium of claim 15, wherein at least one scheduler engine of the plurality of scheduler engines is a mixed integer programming based optimization application and at least one other scheduler engine of the plurality of scheduler engines is a linear programming based optimization application.

18. The non-transitory computer-readable medium of claim 15, wherein at least one scheduler engine of the plurality of scheduler engines employs an emission constraint in generating a schedule of the respective schedules.

19. The non-transitory computer-readable medium of claim 15, wherein at least one scheduler engine of the plurality of scheduler engines generates a schedule based upon another schedule generated from another scheduler engine of the plurality of scheduler engines.

20. The non-transitory computer-readable medium of claim 15, the operations further comprising triggering an update of the comprehensive operating plan in response to at least one of a minimum uptime or minimum downtime associated with the at least one resource being reached.