Use of statistical analysis in power plant performance monitoring

• US 8,200,369 B2
• Filed: 03/12/2008
• Issued: 06/12/2012
• Est. Priority Date: 03/12/2007
• Status: Active Grant

• Current Assignee: Emerson Process Management Power & Water Solutions Incorporated (Emerson Electric Company)
• Original Assignee: Emerson Process Management Power & Water Solutions Incorporated (Emerson Electric Company)
• Inventors: Cheng, Xu, Huff, Frederick C., Francino, Peter N., Swirski, Konrad
• Primary Examiner(s): Decady, Albert
• Assistant Examiner(s): LOPEZ ALVAREZ, OLVIN
• Application Number:
  US12/047,217
• Publication Number:
  US 20090012653A1
• Time in Patent Office: 1,553 Days
• Field of Search: 700/287, 700/291, 700/108, 701/100
• US Class Current: 700/287
• CPC Class Codes: F23N 2223/44 Optimum control
• CPC Class Codes: F23N 2225/24 indicated in an amount of money
• CPC Class Codes: F23N 2237/10 High or low fire
• CPC Class Codes: F23N 5/242 using electronic means
• CPC Class Codes: G05B 23/021 adopting a different treatment of each operating region or a different mode of the monitored system, e.g. transient modes; different operating configurations of monitored system
• CPC Class Codes: G05B 23/024 Quantitative history assessment, e.g. mathematical relationships between available data; Functions therefor; Principal component analysis [PCA]; Partial least square [PLS]; Statistical classifiers, e.g. Bayesian networks, linear regression or correlation analysis; Neural networks
• CPC Class Codes: G05B 23/0294 Optimizing process, e.g. process efficiency, product quality
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 50/06 Energy or water supply
• CPC Class Codes: Y02E 40/70 Smart grids as climate change mitigation technology in the energy generation sector
• CPC Class Codes: Y02P 80/10 Efficient use of energy, e.g. using compressed air or pressurized fluid as energy carrier
• 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 technique of implementing performance monitoring in a power plant is appropriate to control operating parameters and factors connected with the efficiency of the energy production process in an energy marketplace that is more complex than in the past, and that takes variable costs besides the cost of fuel into account, e.g., environmental credits, equipment degradation and repair costs, electrical energy trade market factors like ramp rate, LMP (Locational Marginal Pricing) factors, the ability to deliver contracted power levels and spot transactions, etc. The technique applies a statistical analysis to collected power plant data to determine the factors that are best controlled or changed to affect (increase) the efficiency or other primary performance indication of the plant, as well as to establish baseline or best-possible operational constraints to be used to control the plant in the future.

Claims

1. A method of monitoring the performance of a power generating unit, comprising:

collecting first data related to a primary performance indication for the power generating unit at numerous different times within a time period during which the power generating unit is operating, the first data including data corresponding to at least one cost in addition to a cost of fuel;

determining the primary performance indication based on the collected first data;

collecting second data related to each of a plurality of operating parameters of the power generating unit within the time period;

performing a correlation analysis on the first data and the second data to quantitatively determine, for each of the plurality of operating parameters, a correlation between the each of the plurality of operating parameters and the primary performance indication;

determining from the correlation analysis a subset of the plurality of operating parameters that most affect the primary performance indication for the power generating unit; and

altering the control of one or more of the subset of the plurality of operating parameters during subsequent operation of the power generating unit based on the correlation analysis to thereby enhance the primary performance indication during subsequent operation of the power generation unit.

2. The method of claim 1, wherein performing the correlation analysis includes performing a principal component analysis to produce a first principal component.

3. The method of claim 2, wherein determining from the correlation analysis the subset of the plurality of operating parameters that most affect the primary performance indication for the power generating unit includes analyzing the participation in the first principal component of the each of the plurality of operating parameters, and defining one or more operating parameters that have the greatest participation in the first principal component as the subset of the plurality of operating parameters.

4. The method of claim 1, further including performing a regression analysis on at least one of the subset of the plurality of operating parameters.

5. The method of claim 4, wherein altering the control of the one or more of the subset of the plurality of operating parameters during subsequent operation of the power generating unit includes using the regression analysis to alter the control of the at least one of the subset of the plurality of operating parameters.

6. The method of claim 1, wherein the primary performance indication is efficiency.

7. The method of claim 1, wherein altering the control of the one or more operating parameters during subsequent operation of the power generating unit based on correlation analysis includes determining another one of the operating parameters that is not highly correlated to the primary performance indication, and relaxing the control of the another one of the operating parameters to accommodate the altering the control of the one or more of the subset of the plurality of operating parameters.

8. The method of claim 1, further including, for the each of the plurality of operating parameters, determining one or more statistical measures associated with both the primary performance indication and the each of the plurality of operating parameters.

9. The method of claim 8, wherein the one or more statistical measures includes one of an average, a median, or a standard deviation.

10. The method of claim 8, further including displaying the one or more statistical measures.

11. The method of claim 10, further including displaying, for the each of the plurality of operating parameters, a histogram of data corresponding to the primary performance indication and the each of the plurality of operating parameters in conjunction with the display of the one or more statistical measures.

12. The method of claim 1,

further including selecting a subset of the collected the first data for the primary performance indication as the performance indication data, and selecting a subset of the collected second data for the each of the plurality of operating parameters as the operating parameter data;

and

wherein performing the correlation analysis on the first data and the second data comprises performing a correlation analysis on the subset of the first data and the subset of the second data.

13. The method of claim 1, wherein collecting the second data comprises collecting data pertaining to an operating state corresponding to one of:

(1) an output power generated by the power generating unit, (2) whether the power generating unit is in a startup mode, or (3) whether the output power being generated by the power generating unit is changing or is stable.

14. The method of claim 1, wherein altering the control of one or more of the subset of the plurality of operating parameters during subsequent operation of the power generating unit includes controlling the subsequent operation of the power generating unit to result in a particular statistical measure for one of the subset of the plurality of operating parameters during subsequent operation of the power generating unit.

15. The method of claim 14, wherein controlling the subsequent operation of the power generating unit to result in a particular statistical measure for one of the subset of the plurality of operating parameters during subsequent operation of the power generating unit includes controlling the subsequent operation of the power generating unit to result in one or more of (1) measured values of the one of the subset of the plurality of operating parameters resulting in a desired mean value or in a mean value within a desired range of mean values, (2) the measured values of the one of the subset of the plurality of operating parameters resulting in a desired median value or a median value within a desired range of median values, or (3) the measured values of the one of the subset of the plurality of operating parameters resulting in desired standard deviation value or a standard deviation within a desired range of standard deviation values.

16. The method of claim 1, wherein the at least one cost in addition to the cost of fuel includes at least one of:

an environmental credit, a cost of equipment degradation, a cost of equipment repair, or an electrical energy trade market factor.

17. A method of monitoring the performance of a power generating unit, comprising:

collecting first data related to a primary performance indication for the power generating unit at numerous different times within a time period, the first data including data corresponding to at least one cost in addition to a cost of fuel;

determining the primary performance indication based on the collected first data;

collecting second data related to each of a plurality operating parameters of the power generating unit within the time period;

determining, based on the first data and the second data, one or more statistical measures associated with both the primary performance indication and at least one of the plurality of operating parameters; and

controlling the power generating unit over a period of time to result in a desired value or desired range of values of at least one of the one or more statistical measures.

18. The method of claim 17, wherein the one or more statistical measures includes more than one of an average, a median, or a standard deviation.

19. The method of claim 17, further comprising displaying the one or more statistical measures, including displaying a histogram of data corresponding to the primary performance indication and the at least one of the plurality of operating parameters.

20. The method of claim 17, further including:

performing a correlation analysis on the first data and the second data to determine, for the each of the plurality of operating parameters, a correlation between the each of the plurality of operating parameters and the primary performance indication, and

displaying results of the correlation analysis.

21. The method of claim 20, wherein performing the correlation analysis includes performing a principal component analysis to produce a first principal component.

22. The method of claim 21, further includes analyzing the participation in the first principal component of the each of the plurality of operating parameters, and indicating one or more of the plurality of operating parameters that has the greatest participation in the first principal component.

23. The method of claim 22, further including performing a regression analysis on at least one of the indicated operating parameters that has the greatest participation in the first principal component.

24. The method of claim 17,

further including selecting, based on an operating state of the power generation unit, a subset of the first data and selecting, based on the operating state of the power generation unit, a subset of the second data data;

and

wherein determining, based on the first data and the second data, the one or more statistical measures comprises determining one or more statistical measures based on the subset of the first data and the subset of the second data.

25. The method of claim 17, further including controlling one of the plurality of operating parameters during subsequent operation of the power generating unit to result in a particular statistical measure for the one of the plurality of operating parameters during subsequent operation of the power generating unit.

26. The method of claim 25, wherein controlling one of the plurality of operating parameters includes controlling the subsequent operation of the power generating unit to result in one or more of (1) measured values of the one of the plurality of operating parameters resulting in a desired mean value or in a mean value within a desired range of mean values, (2) the measured values of the one of the plurality of operating parameters resulting in a desired median value or a median value within a desired range of median values, or (3) the measured values of the one of the plurality of operating parameters resulting in desired standard deviation value or a standard deviation within a desired range of standard deviation values.

27. A system for monitoring the performance of a power generating unit, comprising:

a computer readable memory; and

a computer program stored on the computer readable memory and executable on one or more processors to;

collect first data related to a primary performance indication for the power generating unit at numerous different times within a time period, the first data including data corresponding to at least one cost in addition to a cost of fuel,

determine the primary performance indication based on the collected first data,

collect second data related to each of a plurality operating parameters of the power generating unit within the time period,

perform a correlation analysis on the first data and the second data to quantitatively determine, for the each of the plurality of operating parameters, a correlation between the each of the plurality of operating parameters and the primary performance indication, and

determine from the correlation analysis a subset of the plurality of operating parameters that most affect the primary performance indication for the power generating unit, wherein each member of the subset of the plurality of operating parameters effects a bigger change in the primary performance indication than at least one other operating parameter of the plurality of operating parameters that is not a member of the subset.

28. The system for monitoring the performance of a power generating unit of claim 27, wherein the computer program is further executable on one or more processors to alter the control of one or more of the subset of the plurality of operating parameters during subsequent operation of the power generating unit based on the correlation analysis to thereby enhance the primary performance indication during the subsequent operation of the power generation unit.

29. The system for monitoring the performance of a power generating unit of claim 28, wherein the computer program alters the control of one or more of the subset of the plurality of operating parameters during subsequent operation of the power generating unit by controlling the subsequent operation of the power generating unit to result in a particular statistical measure for one of the subset of the plurality of operating parameters during subsequent operation of the power generating unit.

30. The system for monitoring the performance of a power generating unit of claim 29, wherein the computer program controls the subsequent operation of the power generating unit to result in one or more of (1) measured values of the one of the subset of the plurality of operating parameters resulting in a desired mean value or in a mean value within a desired range of mean values, (2) the measured values of the one of the subset of the plurality of operating parameters resulting in a desired median value or a median value within a desired range of median values, or (3) the measured values of the one of the subset of the plurality of operating parameters resulting in desired standard deviation value or a standard deviation within a desired range of standard deviation values.

31. The system for monitoring the performance of a power generating unit of claim 27, wherein the computer program performs the correlation analysis by performing a principal component analysis to produce a first principal component.

32. The system for monitoring the performance of a power generating unit of claim 31, wherein the computer program determines from the correlation analysis, a subset of the plurality of operating parameters that most affect the primary performance indication for the power generating unit by analyzing the participation in the first principal component of the each of the plurality of operating parameters, and defining the one or more operating parameters that have the greatest participation in the first principal component as the subset of the plurality of operating parameters.

33. The system for monitoring the performance of a power generating unit of claim 32, wherein the computer program performs a regression analysis on at least one of the subset of the plurality of operating parameters.

34. The system for monitoring the performance of a power generating unit of claim 33, wherein the computer program is further executable on one or more processors to alter the control of one or more of the subset of the plurality of operating parameters during subsequent operation of the power generating unit based on the correlation analysis to thereby enhance the primary performance indication during the subsequent operation of the power generation unit, and wherein altering the control of one or more of the subset of the plurality of operating parameters during the subsequent operation of the power generating unit includes using the regression analysis to alter the control of the at least one of the subset of the plurality of operating parameters.

35. The system for monitoring the performance of a power generating unit of claim 27, wherein the computer program is further executable on one or more processors to determine one or more statistical measures associated with each of the primary performance indication and the each of the plurality of operating parameters, and to display the one or more statistical measures for the each of the primary performance indication and the each of the plurality of operating parameters.

36. The system for monitoring the performance of a power generating unit of claim 35, wherein the computer program is further executable to create and display a histogram of data for the each of the primary performance indication and the each of the plurality of operating parameters, in conjunction with the display of the one or more statistical measures for the each of the primary performance indication and the each of the plurality of operating parameters.

37. The system for monitoring the performance of a power generating unit of claim 27, wherein the computer program is further executable to:

select, based on an operating state of the power generation unit, a subset of the first data;

select, based on the operating state of the power generation unit, a subset of the second data; and

perform the correlation analysis on the subset of the first data and the subset of the second data.

38. The system for monitoring the performance of a power generating unit of claim 37, wherein the computer program is further executable to define the operating state as one of:

(1) an output power generated by the power generating unit, (2) whether the power generating unit is in a startup mode, or (3) whether the output power being generated by the power generating unit is changing or is stable.