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Title: US5517424: Steam turbine fuzzy logic cyclic control method and apparatus therefor
[ Derwent Title ]


Country: US United States of America

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12 pages

 
Inventor: Marcelle, Kenneth A. W.; Schenectady, NY
Chiang, Kenneth H.; Schenectady, NY
Houpt, Paul K.; Schenectady, NY
Bonissone, Piero P.; Schenectady, NY
Weiss, Joseph; Cupertino, CA

Assignee: Electric Power Research Institute, Inc.
other patents from ELECTRIC POWER RESEARCH INSTITUTE, INC. (167035) (approx. 834)
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Published / Filed: 1996-05-14 / 1994-03-31

Application Number: US1994000221746

IPC Code: Advanced: H02J 3/00;
Core: more...
IPC-7: H02J 3/12;

ECLA Code: H02J3/00;

U.S. Class: Current: 700/287; 060/645; 290/052; 307/039; 706/900; 706/907;
Original: 364/494; 395/900; 395/907; 307/039; 060/645; 290/052;

Field of Search: 364/492,494 060/660,646,645 376/217 395/003,61,900,906,907 307/038-41 290/052

Priority Number:
1994-03-31  US1994000221746

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.

Attorney, Agent or Firm: Flehr, Hohbach, Test, Albritton & Herbert ;

Primary / Asst. Examiners: Voeltz, Emanuel T.; Choi, Kyle J.

Maintenance Status: E3 Expired  Check current status

INPADOC Legal Status: Show legal status actions

Family: None

First Claim:
Show all 27 claims
What is claimed is:     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.


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Forward References: Show 14 U.S. patent(s) that reference this one

       
U.S. References: Go to Result Set: All U.S. references   |  Forward references (14)   |   Backward references (6)   |   Citation Link

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Patent  Pub.Date  Inventor Assignee   Title
Buy PDF- 40pp US4792911  1988-12 Gonzalez et al.  Westinghouse Electric Corp. Diagnostic apparatus for an electric generator seal oil system
Buy PDF- 33pp US5305230  1994-04 Matsumoto et al.  Hitachi, Ltd. Process control system and power plant process control system
Buy PDF- 13pp US5309485  1994-05 Chao  General Electric Company Core automated monitoring system
Buy PDF- 68pp US5311421  1994-05 Nomura et al.  Hitachi, Ltd. Process control method and system for performing control of a controlled system by use of a neural network
Buy PDF- 13pp US5392320  1995-02 Chao  General Electric Company Core automated monitoring system
Buy PDF- 10pp US5433079  1995-07 Badami et al.  General Electric Company Automated steam turbine startup method and apparatus therefor
       
Foreign References: None

Other Abstract Info: DERABS G96-251303 DERG96-251303

Other References:
  • Mamdani E. H., et al., "Application of fuzzy algorithms for control of simple dynamic plant," Proceedings of IEE: Control & Science, vol. 121, No. 12, Dec. 1974, pp. 1585-1588. (4 pages) Cited by 15 patents
  • Matsumoto, H., et al., "An operation support expert system based on on-line dynamics simulation and fuzzy . . . ," IEEE Trans. on Energy Conversion., vol. 8, No. 4, Dec. 1993, pp. 674-680. (7 pages) [ISI abstract]
  • A. Khotanzad, R.-C. Hwang, and D. Maratukulam, "Hourly Load Forecasting by Neural Networks," in IEEE Power Engineering Society Winter Meeting, (Columbus, OH), Feb. 1993.
  • A F. Armor, R. D. Hottenstein, I. A. Diaz-Tous, and N. F. Lansing, "Cycling Capabilty of Supercritical Turbines: A World Wide Assessment," in Fossil Plant Cycling Workshop, (Miami Beach, FL), 1985.
  • F. J. Hanzalek and P. G. Ipsen, "Boiler-Turbine Coordination during Startup and Loading of Large Units," in American Society of Mechanical Engineers, (Chicago, IL), Nov. 7-11, 1965.
  • J. Jelinek, "Cycling controllers for electric utilities," in EPRI Conference on Power Plan Controls and Automation, 1989.
  • K. Anderson, "Advanced control technology to reduce power plant stress," in ASME Publication, Paper #90-JPGC/Pwr-2, Boston, MA, Oct. 1990.
  • D. B. P. Gibbs, "Nonlinear model predictive control for fossil power plants," in Proc. American Control Conf., pp. vol. 4, pp. 3091-3098, Chicago, IL, Jun. 1992.
  • D. P. B. P. Gibbs, D. S. Weber, "Application of nonlinear model-based predictive control to fossil power plants," in Proc. 30th IEEE Conf. on Decision and Control, Dec. 1992.
  • H. F. Martin and J. G. J. Silvestri, "Turbine Cycle Performance Optimization," in EPRI Heat Rate Improvement Conference, (Richmond, VA), May 10-12 (1988).
  • C. C. Lee, "Fuzzy Logic in Control Systems: Fuzzy Logic Controller I and II," IEEE Systems, Man, and Cybernetics, vil. 20, No. 2, 1990.
  • C. E. Garcia and A. Morshedi, "Quadratic Programming Solution of Dynamic Matrix Control (QDMC)." Chem. Eng. Comun., vol. 46, pp. 073-087, 1986. (15 pages) Cited by 4 patents


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