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

• US 9,251,479 B2
• Filed: 07/02/2010
• Issued: 02/02/2016
• Est. Priority Date: 07/02/2010
• Status: Active Grant

• Current Assignee: Alstom Technology Ltd. (Alstom SA)
• Original Assignee: General Electric Technology GmbH (GE Vernova, Inc.)
• Inventors: Sun, David, Cheung, Kwok, Wang, Xing, Chiu, But-Chung, Xiao, Ying
• Primary Examiner(s): Allen, Akiba
• Application Number:
  US12/830,019
• Publication Number:
  US 20110029147A1
• Time in Patent Office: 2,041 Days
• Field of Search: 705/412, 705/1.1, 705/7.11
• US Class Current: 1/1
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06Q 10/06 Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
• 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 method is provided that enables dispatchers in power grid control centers to manage changes by applying multi-interval dispatch. A multi-stage resource scheduling engine and a comprehensive operating plan are used. Multiple system parameter scenarios are coordinated.

Claims

1. A method comprising:

generating a supply of energy by a power grid device of a power grid and dispatching the supply of energy by the power grid device based on at least one multi-level dispatch operation of the power grid, wherein the power grid device comprises a processor that facilitates deployment of a comprehensive operating plan;

applying, by the power grid device, an action defined by the comprehensive operating plan as a function of operating plan data stored by a data store database representing an operating plan to provide a multi-interval scheduling solution that allocates operational resources of the power grid according to a schedule of the power grid to generate the supply of energy and dispatch the supply of energy by the power grid device;

associating, by the power grid device, a multi-stage resource engine with of at least one scheduler engine corresponding to respective look-ahead periods, and in accordance with the comprehensive operating plan; and

capturing, by the power grid device, scheduling data for storage by the data store, wherein the scheduling data corresponds to a unified scheduling system integrated with the at least one schedule engine in accordance with the comprehensive operating plan; and

closing, by the power grid device, a gap between day ahead

scheduling that schedules a commitment of power grid resources for a day ahead of an identified day, a unit commitment decision that manages peak and valley demands of, the power grid, and real time economic dispatch sequences that deploy power grid resources at different time periods.

2. The method of claim 1, wherein the multi-stage resource engine coordinates at least one demand scenario of the at least one scheduler engine.

3. The method of claim 2, wherein the at least one demand scenario includes a low demand scenario applicable to a defined low demand, a medium demand scenario applicable to a defined medium demand, or a high demand scenario applicable to a defined high demand, wherein the defined high demand is higher than the defined medium demand and the defined low demand, and the defined medium demand is higher than the defined low demand.

4. The method of claim 1, wherein the multi-interval scheduling solution represents responses by the at least one scheduler engine that are determined to address future trajectory events.

5. The method of claim 4, wherein the future trajectory events are at least one of a dispatch trajectory of grid resources based on future operation events, a topology change of the framework of the power grid, or a constraint violation of grid operational rules.

6. The method of claim 1, further comprising:

providing, by the power grid device, dispatchers with a capability to manage decision making processes related to changes in at least one intra-day operational condition, comprising;

load of operational resources demanded by the power grid, generation of power related to a demand condition, dispatch of operational resources, interchange of energy commitment and energy demand or transmission constraints on operational resources of the power grid related to dispatch of the supply of energy.

7. The method of claim 6, wherein the at least one intra-day operational condition is a condition determined to occur within two hours.

8. The method of claim 6, further comprising:

implementing, by the power grid device, a security-constrained economic scheduling and dispatch algorithm that reduces costs of generating power and that analyzes a specified intra-day operational condition of the power grid.

9. The method of claim 8, wherein the at least one scheduler engine receives first data associated with a state estimator solution or second data associated with the transmission constraint from an energy management system that manages energy usage of the power grid.

10. The method of claim 9, wherein the at least one scheduler engine is an optimization engine that predicts at least one time frame to forecast operational conditions of the energy management system and alter at least one energy generation pattern within the at least one time frame based at least on the forecast of the operational conditions.

11. The method of claim 8, further comprising:

using, by the power grid device, the at least one scheduler engine corresponding to a respective look-ahead period to smooth a transition between day-ahead scheduling and scheduling that is implemented without delay.

12. The method of claim 1, further comprising:

using, by the power grid device, a resource profile that comprises at least one parameter selected from at least one of a ramp rate, an operating band, a predicted response per megawatt of requested change, a maximum limit of a system parameter, or a minimum limit of the system parameter.

13. The method of claim 8, further comprising:

removing, by the power grid device, an operational condition that is determined to represent an uneconomical dispatch action or that is determined not to provide insight into a future operational trend.

14. The method of claim 8, further comprising:

storing, by the power grid device to the data store, real-time data files and near-real time data files associated with a unit commitment status in connection with the security-constrained economic scheduling and dispatch algorithm.

15. The method of claim 8, further comprising:

accommodating, by the power grid device, fast load pick-up by pre-ramping units in connection with the security-constrained economic scheduling and dispatch algorithm to improve user compliance to dispatch instructions.

20. The method of claim 1, further comprising:

integrating, by the power grid device, the at least one scheduler engine with the unified scheduling system in accordance with the comprehensive operating plan.

21. The method of claim 1, further comprising:

coordinating, by the power grid device, interactions between the unified scheduling system and at least one application of the power grid using the scheduling data.

22. The method of claim 21, further comprising:

initiating, by the power grid device via a user interface, a presentation of a synchronized view of the at least one application based on the comprehensive operating plan for control of operations of the power grid.

16. A system comprising:

a power grid device of a power grid that generates a supply of energy and deploys the supply of energy, wherein the power grid device comprises a processor, that employs a management tool that facilitates at least one multi-level dispatch operation of the power grid, wherein the power grid device responds to a demand for renewable resources including energy, and wherein the power grid device is configured to perform operations, comprising;

applying a multi-interval scheduling solution that allocates operational resources of the power grid according to a schedule to generate the supply of energy and dispatch the supply of energy;

providing a comprehensive operating plan in connection with the multi-interval scheduling solution, wherein the comprehensive operating plan comprises a multi-stage resource scheduling engine that includes at least a first resource scheduling, a second resource scheduling, and a third resource scheduling;

integrating the first resource scheduling, the second resource scheduling, and the third resource scheduling engine into a unified scheduling system; and

capturing scheduling data associated with the unified scheduling system from the comprehensive operating plan; and

closing a gap between day ahead scheduling that schedules a commitment of power grid resources for a day ahead of an identified day, a unit commitment decision that manages peak and valley demands of the power grid, and real time economic dispatch sequences that deploy power grid resources at different time periods.

17. The system of claim 16, wherein the first resource scheduling engine, the second resource scheduling engine, and the third resource scheduling engine provide scheduling updates to the comprehensive operating plan.

18. The system of claim 17, wherein the third resource scheduling engine provides an indication of current and future dispatch trajectories that allocate operational resources of the power grid at present and future time periods respectively.

23. The system of claim 16, wherein the operations further comprise:

presenting, by the power grid device, a synchronized view of scheduling data corresponding to the unified scheduling system via a user interface of the power grid.

24. The system of claim 16, wherein the operations further comprise:

coordinating, by the device, the scheduling data to and from at least one application of the power grid device in accordance with multiple system parameter scenarios.

19. A device, comprising:

a power grid device of a power grid that generates a supply of energy and deploys the supply of energy, wherein the power grid device comprises;

a memory storing computer-executable components; and

a processor, communicatively coupled to the memory, that executes or facilitates execution of the computer-executable components, the computer-executable components, comprising;

a dispatch component configured to match a supply flow of first energy from a renewable energy source to an energy demand of the power grid in accordance with an energy demand prediction model that forecasts the energy demand of the power grid during one or more scheduled time intervals;

a generation component configured to generate second energy at the one or more scheduled time intervals from the renewable energy source in accordance with the energy demand forecasted based on the energy demand prediction model of the power grid;

a transmission component configured to transmit third energy of the power grid to at least one regional location by a scheduling engine that transmits energy of the power grid in association with the one or more scheduled time intervals;

an integration component that integrates a set of power grid data associated with the first energy, second energy, and third energy at a comprehensive operating plan data store that stores the set of power grid data;

a building component that generates unified scheduling data representing a unified scheduling framework, for storage at the comprehensive operating plan data store, that coordinates power grid resource allocation to one or more scheduling processes; and

a closing component, that closes, by a processor, a gap between day ahead scheduling that schedules a commitment of power grid resources for a day ahead of an identified day, a unit commitment decision that manages peak and valley demands of the power grid, and real time economic dispatch sequences that deploy power grid resources at different time periods.