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

• US 20110071693A1
• Filed: 07/02/2010
• Published: 03/24/2011
• Est. Priority Date: 07/02/2010
• Status: Active Grant

• Current Assignee: Alstom Technology Ltd. (Alstom SA)
• Original Assignee: Alstom Technology Ltd. (Alstom SA)
• Inventors: Xiao, Ying, Sun, David, Chiu, But-Chung, Cheung, Kwok, Wang, Xing
• Granted Patent: US 8,972,070 B2
• Time in Patent Office: Days
• US Class Current: 700/291
• 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 tool that provides dispatchers in power grid control centers with a capability to manage changes, comprising:

a user interface;

a plurality of scheduler engines, each of a scheduler engine 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 that holds schedules generated by the plurality of scheduler engines; and

a relational database coupled to the comprehensive operating plan, wherein input data is initially received from the relational database for each scheduler engine, and thereafter the relational database receives data from the scheduler engines relative to forecast system conditions.

2. The system tool of claim 1, further comprising:

wherein the user interface is a market operator interface (MOI) that supports operators to obtain situation awareness, scheduling and dispatch power systems.

3. The system tool of claim 1, wherein the change is selected from at least one of, load, generation, interchange and transmission security constraints simultaneously on a intra-day and near real-time operational basis.

4. The system tool of claim 1, wherein each of a scheduler engine is a mixed integer programming/linear programming based optimization application which includes both unit commitment and unit dispatch functions.

5. The system tool of claim 1, wherein scheduler engine 1, scheduler engine 2 and scheduler engine 3 are provided with scheduler engine 1 having a look ahead time that is shorter than a look ahead time of scheduler engine 2, and a look ahead time of scheduler engine 3 is longer than the look ahead time of scheduler engine 1.

6. The system tool of claim 5, wherein scheduler engine 1 provides a system operator with intra-day incremental resource commitment/de-commitment schedules based on Day-ahead unit commitment decision to manage forecasted upcoming peak and valley demands and interchange schedules while satisfying transmission security constraints and reserve capacity requirements.

7. The system tool of claim 5, wherein scheduler engine 1 is a mixed integer programming based application.

8. The system tool of claim 5, wherein scheduler engine 1 is configured to execute for a look-ahead window of at least 6 hours with viable interval durations.

9. The system tool of claim 5, wherein scheduler engine 2 is configured to commit additional fast start resources as needed and fine-tune a commitment status of fast start resources committed by scheduler engine 1.

10. The system tool of claim 9, wherein scheduler engine 2 produces dispatch contours and provides resource ramping envelopes for scheduler engine 3 to follow.

11. The system tool of claim 10, wherein an envelope of reachability creates solution coupling effect across scheduling functions of scheduler engine 2 and scheduler engine 3.

12. The system tool of claim 5, wherein scheduler engine 3 calculates financially binding base points and advisory base-points.

13. The system tool of claim 12, wherein scheduler engine 3 calculates ex-ante real-time locational marginal price for a financial binding interval and advisory price signals for a remainder of study intervals.

14. The system tool of claim 12, wherein scheduler engine 3 is a multi-interval co-optimization LP problem and is configured to pre-ramp a resource for a need of load following and real-time transmission congestion management.

15. The system tool of claim 1, wherein each scheduler engine i generates a set of schedules that are reflected in its corresponding individual comprehensive operating plan i.

16. The system tool of claim 15, wherein aggregated results from the multi-stage decision process are captured in the total comprehensive operating plan t, which is the consolidated outcome of the individual comprehensive operating plan i'"'"'s.

17. The system tool of claim 1, wherein comprehensive operating plan is configured to build a unified scheduling framework that coordinates between a series of resource scheduling processes in a modern grid control centers.

18. The system tool of claim 1, wherein each scheduler engine is a security constrained unit for commitment and economic dispatch sequences with a different look-ahead period.

19. The system tool of claim 1, wherein each scheduler engine has updated resource schedules at different cycle frequencies.

20. The system tool of claim 1, wherein each scheduler engine guides a dispatching decision space of subsequent stages.