Systems and Methods for Predicting Transient Operational Characteristics of a Power Plant

• US 20130116830A1
• Filed: 11/09/2011
• Published: 05/09/2013
• Est. Priority Date: 11/09/2011
• Status: Active Grant

• Current Assignee: GE Infrastructure Technology, LLC (General Electric Company)
• Original Assignee: General Electric Company
• Inventors: D'Amato, Fernando Javier, Mosley, Matthew, Long, Christopher
• Granted Patent: US 8,914,134 B2
• Time in Patent Office: Days
• US Class Current: 700/275
• CPC Class Codes: G05B 11/00 Automatic controllers G05B13/00 takes precedence
• CPC Class Codes: G05B 13/026 using a predictor
• CPC Class Codes: H02J 2203/20 Simulating, e g planning, reliability check, modelling or computer assisted design [CAD]
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: Y02E 60/00 Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
• CPC Class Codes: Y04S 40/20 Information technology specific aspects, e.g. CAD, simulation, modelling, system security

Abstract

Certain embodiments of the invention may include systems and methods for predicting transient operational characteristics of a power plant. According to an example embodiment of the invention, a method is provided for predicting transient operational characteristics of a power plant. The method can include receiving operating information associated with the power plant; using a power plant dynamics model for determining a current operating state of the power plant based at least in part on the received operating information; and using the power plant dynamics model and a power plant controls model for predicting one or more future operating parameters associated with power plant based at least in part on the determined current operating state and the received operating information.

Claims

1. A method for predicting transient operational characteristics of a power plant, the method comprising:

receiving operating information associated with the power plant;

using a power plant dynamics model for determining a current operating state of the power plant based at least in part on the received operating information; and

using the power plant dynamics model and a power plant controls model for predicting one or more future operating parameters associated with power plant based at least in part on the determined current operating state and the received operating information.

2. The method of claim 1, wherein the dynamics model comprises a representation of physical operating parameters associated with the power plant using one or more of differential equations or differential algebraic equations.

3. The method of claim 1, wherein the controls model comprises a model of closed-loop behavior of at least one operating process associated with the power plant.

4. The method of claim 1, wherein the current operating state comprises one or more of temperatures, pressures, flows, enthalpies, voltage, reactive power, chemical compositions, mechanical torque, mechanical power, or speeds.

5. The method of claim 1, wherein receiving operating information comprises receiving one or more of operating configuration parameters, sensor information, pricing information, or environmental information.

6. The method of claim 1, wherein predicting the one or more future operating parameters comprises predicting one or more of:

fuel consumption, life consumption, water consumption, chemical consumption, emissions, corresponding time histories, transient performance of plant components, or margin to operational constraints.

7. The method of claim 1, further comprising generating actionable operating information based at least in part on predicting the one or more future operating parameters.

8. The method of claim 1, further comprising predicting, by the dynamics and controls models, one or more future operating parameters based at least in part on one or more controllable scenarios.

9. The method of claim 8, wherein the one or more controllable scenarios include one or more of:

time to start each generating unit in the power plant, time to start blending steam from different steam generation units in a common header, rate at which blending occurs, time to start rolling turbine shafts, acceleration rate to reach rated speed, timing of chemical dosing, magnitude of chemical dosing, time to start cooling fans, cooling fan speed, time to close a breaker, loading rate of one or more turbines, and time to transition switch operating modes.

10. The method of claim 1, further comprising automatically controlling the power plant based at least in part on an evaluation of the predicted future operating parameters.

11. A system for predicting and controlling behavior associated with a power plant, the system comprising:

at least one memory for storing data and computer-executable instructions; and

at least one processor configured to access the at least one memory and further configured to execute the computer-executable instructions for;

modeling dynamics associated with a power plant;

modeling controls associated with the power plant;

receiving operating information associated with the power plant;

determining, by modeling the dynamics, a current operating state of the power plant based at least in part on the received operating information; and

predicting, by modeling the dynamics and controls, one or more future operating parameters associated with power plant based at least in part on the determined current operating state and the received operating information.

12. The system of claim 11, wherein modeling the dynamics comprises representing physical operating parameters associated with the power plant with one or more of differential equations or differential algebraic equations.

13. The system of claim 11, wherein modeling controls comprises a modeling closed-loop behavior of at least one process associated with the power plant.

14. The system of claim 11, wherein the current operating state comprises one or more of temperatures, pressures, flows, enthalpies, voltage, reactive power, chemical compositions, mechanical torque, mechanical power, or speeds.

15. The system of claim 11, wherein receiving operating information comprises receiving one or more of configuration parameters, sensor information, pricing information, or environmental information.

16. The system of claim 11, wherein predicting the one or more future operating parameters comprises predicting one or more of:

fuel consumption, life consumption, water consumption, chemical consumption, emissions, corresponding time histories, transient performance of plant components, or margin to operational constraints.

17. The system of claim 11, further comprising providing actionable operating information to an operator based at least in part on predicting the one or more future operating parameters.

18. The system of claim 11, further comprising predicting, by the dynamics and controls models, one or more future operating parameters based at least in part on one or more controllable scenarios.

19. The system of claim 18, wherein the one or more controllable scenarios include one or more of:

time to start each generating unit in the power plant, time to start blending steam from different steam generation units in a common header, rate at which blending occurs, time to start rolling turbine shafts, acceleration rate to reach rated speed, timing of chemical dosing, magnitude of chemical dosing, time to start cooling fans, cooling fan speed, time to close a breaker, loading rate of one or more turbines, and time to transition switch operating modes.

20. The system of claim 11, further comprising automatically controlling the power plant based at least in part on an evaluation of the predicted future operating parameters.