Steam turbine fuzzy logic cyclic control method and apparatus therefor

• US 5,517,424 A
• Filed: 03/31/1994
• Issued: 05/14/1996
• Est. Priority Date: 03/31/1994
• Status: Expired due to Fees

• Current Assignee: Electric Power Research Institute Incorporated
• Original Assignee: Electric Power Research Institute Incorporated
• Inventors: Houpt, Paul K., Bonissone, Piero P., Weiss, Joseph, Marcelle, Kenneth A. W., Chiang, Kenneth H.
• Primary Examiner(s): Voeltz, Emanuel T.
• Assistant Examiner(s): CHOI, KYLE JAEHUN
• Application Number:
  US08/221,746
• Time in Patent Office: 775 Days
• Field of Search: 364/492, 364/494, 60/660, 60/646, 60/645, 376/217, 395/3, 395/61, 395/900, 395/906, 395/907, 307/38-41, 290/52
• US Class Current: 700/287
• CPC Class Codes: H02J 3/00 Circuit arrangements for ac mains or ac distribution networks
• CPC Class Codes: Y10S 706/90 Fuzzy logic
• CPC Class Codes: Y10S 706/907 Power plant

Abstract

A method for automated control of a steam turbine during cyclic operation includes the steps of comparing current turbine loading with an anticipated load profile to generate a load error signal. Anticipated electrical load profiles correspond to the time of day, day of the week, month of the year, and historical data; operator input can vary such historical profiles as appropriate for unusual situations. The predicted load profile is categorized with respect to selected composite electrical load cycle profiles; weighted operating constraints are generated by means of a fuzzy inference calculation using electrical cycle profiles selected to correspond to the anticipated electrical load profile. Control signals for selected steam plant regulatory functions, such as steam supply valve position and boiler pressure, are produced by applying the fuzzy logic-generated weighted operating constraints and the load error signal so as to optimize turbine load-following efficacy, steam plant efficiency, and machinery stress reduction. These control signals are then applied to respective regulatory function actuators in the steam plant to implement the desired trajectory of steam plant operation.

Claims

1. A method using fuzzy logic for cyclic operation control of a steam turbine, the method comprising the steps of:

categorizing current turbine operation with respect to selected composite electrical-load cycle profiles, each of said electrical-load cycle profiles comprising multiple sequential load stages corresponding to phases of a predicted turbine loading profile; and

producing control signals for selected steam plant regulatory functions by means of a fuzzy inference calculation in accordance with the categorization of turbine operation with respect to said selected composite electrical-load cycle profiles such that turbine operation is optimized.

2. The method of claim 1 further comprising the step of applying said control signals for said selected steam plant regulatory functions to respective function controllers.

3. The method of claim 1 wherein the step of producing control signals for selected steam plant regulatory functions further comprises generating weighted values of selected cycle features and applying said respective weighted values of the cycle features to a model predictive controller so as to generate steam plant control signals.

4. The method of claim 3 wherein said steam plant control signals comprise a steam supply valve control signal and a steam pressure control signal.

5. The method of claim 4 wherein said selected composite electrical-load cycle profiles comprise a constant load cycle profile and a ramping load cycle profile

6. The method of claim 5 wherein each constant load cycle profile comprises a constant load stage followed by a ramping load stage, and each ramping load cycle profile comprises a first ramping load stage followed by a constant load stage followed by a second ramping load stage.

7. The method of claim 3 wherein the step of producing said steam plant control signals further comprises optimizing said signals in accordance with selected criteria.

8. The method of claim 7 wherein the step of optimizing said steam plant control signals comprises minimizing load tracking error and minimizing turbine inlet temperature changes.

9. The method of claim 8 wherein the step of optimizing said steam plant control signals further comprises prioritizing respective control signals for steam pressure and for turbine steam supply valve position.

10. A method for controlling a turbine in a steam plant using fuzzy logic such that future projected load demand is considered in determining current turbine control action so as to respond to cycling loads in an optimal fashion, the method comprising the steps of:

comparing current turbine loading with selected composite electrical-load cycle profiles to generate a load error signal, each of said electrical cycle profiles comprising multiple sequential load stages corresponding to phases of a predicted turbine loading profile;

generating weighted operating constraints by means of a fuzzy inference calculation in correspondence with selected ones of said electrical cycle profiles;

producing control signals for selected steam plant regulatory functions by applying said weighted operating constraints and said load error signal so as to optimize turbine load-following efficacy, steam plant efficiency, and machinery stress reduction; and

applying the steam plant regulatory control signals to respective regulatory function actuators in said steam plant.

11. The method of claim 10 wherein said steam plant regulatory control signals comprise a steam supply valve control signal and a steam pressure control signal.

12. The method of claim 11 wherein the step of generating weighted operating constraints comprises the steps of assigning a weight value to each the following operating constraints:

load tracking;

turbine temperature fluctuation;

control valve movement; and

steam pressure change.

13. The method of claim 12 wherein said selected composite electrical-load cycle profiles comprise a constant load cycle profile and a ramping load cycle profile

14. The method of claim 13 wherein each constant load cycle profile comprises a constant load stage followed by a ramping load stage, and each ramping load cycle profile comprises a first ramping load stage followed by a constant load stage in turn followed by a second ramping load stage.

15. The method of claim 14 wherein the step of generating weighted operating constraints further comprises, for each constant load stage of a constant load cycle profile, the steps of generating a target steam pressure for the endpoint of said constant load stage and a prioritization weight on reaching said target steam pressure prior to the endpoint of said constant load stage.

16. The method of claim 15 wherein the step of generating weighted operating constraints by means of a fuzzy inference calculation further comprises assessing each of a plurality of features of respective stages of said selected composite electrical-load cycle profiles, said features comprising for a constant load stage turbine load level, a constant load stage duration;

a ramping load stage turbine loading rate; and

a ramping load stage overall turbine load change.

17. The method of claim 10 wherein the step of comparing current turbine loading with a predicted electrical-load profile comprises determining at least one appropriate selected composite electrical-load cycle profile.

18. The method of claim 17 wherein the step of determining at least one appropriate selected electrical-load cycle profile further comprises selecting an applicable constant load cycle profile and selecting an applicable ramping load cycle profile.

19. The method of claim 18 wherein said predicted electrical load for said turbine corresponds to time of day, day of the week, and time of year.

20. The method of claim 18 wherein said predicted electrical load for said turbine further corresponds to an operator input of factors affecting turbine loading.

21. A steam plant controller for controlling cyclic operation of the steam plant in response to changes in electrical load demand on a turbine generator unit in said plant, comprising:

a boiler controller comprising means for selectively adjusting the steam pressure delivered to said turbine generator unit;

a steam supply control apparatus coupled to said turbine generator unit so as to selectively control the amount of steam admitted into the turbine; and

a steam plant cyclic controller coupled to said boiler controller and said steam supply control apparatus, said steam plant cyclic controller comprising means for generating control signals for said boiler controller and said steam supply control apparatus so that selected steam plant operation parameters are optimized with respect to an anticipated load profile by means of a fuzzy inference calculation.

22. The controller of claim 21 wherein said means for generating control signals comprises a load demand prediction circuit, a model predictive controller coupled to said load demand prediction circuit to receive a load error signal therefrom, and a fuzzy logic circuit coupled to said load demand prediction circuit to receive a selected composite electrical load profile signal therefrom, said model predictive controller further being coupled to said fuzzy logic circuit to receive a fuzzy logic-generated weighted operational constraint signal therefrom.

23. The controller of claim 22 wherein said load demand prediction circuit comprises:

means for determining an anticipated electrical load profile based on temporal information;

means for categorizing said anticipated electrical load profile with respect to selected composite electrical load cycle profiles and to generate said composite electrical load cycle profile signal.

24. The controller of claim 23 wherein said fuzzy logic circuit comprises means for generating a plurality of operating constraint signals in correspondence with predetermined fuzzy logic rules, said operating constraint signals comprising a load tracking weighting signal and a turbine inlet temperature fluctuation weighting signal.

25. The controller of claim 24 wherein said fuzzy logic circuit further comprises means for generating a weighted steam supply apparatus control signal, a weighted boiler pressure control signal, a target steam pressure signal and a prioritization weight signal for achieving said target steam pressure.

26. The controller of claim 22 wherein said model predictive controller comprises means for optimizing the boiler pressure control signal and the steam supply control signal in correspondence with said weighted operating constraits.

27. The controller of claim 21 wherein said steam supply apparatus comprises a turbine throttle valve.