Systems and methods for real-time steam quality estimation
US-2019271464-A1 · Sep 5, 2019 · US
US11449017B2 · US · B2
| Field | Value |
|---|---|
| Publication number | US-11449017-B2 |
| Application number | US-202017133109-A |
| Country | US |
| Kind code | B2 |
| Filing date | Dec 23, 2020 |
| Priority date | Jan 20, 2020 |
| Publication date | Sep 20, 2022 |
| Grant date | Sep 20, 2022 |
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An apparatus for optimizing control parameters of a power plant is provided. The apparatus for optimizing control parameters of a power plant includes: a model generator configured to configure a forecast model including a process model and a control model, a model corrector configured to correct a first parameter of the process model through operation data of a real power plant, and a tuner configured to tune a second parameter, which is a parameter related to a time delay of the forecast model, so as to have a target load increase rate.
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What is claimed is: 1. A computing apparatus for optimizing control parameters for improving a load change rate of a power plant comprising: a memory configured to store computer readable instructions; and one or more processor, coupled with the memory, configured to execute the computer readable instructions to perform steps comprising: configuring a forecast model of the load change rate of the power plant comprising a process model and a control model; correcting the process model by changing a first parameter of the process model using real operation data of the power plant; and tuning a time delay parameter of the corrected forecast model, the time delay parameter being related to a delayed response of the power plant, so that an calculation value of the corrected forecast model under the time delay parameter meets a target load increase rate of the power plant. 2. The apparatus for optimizing the control parameters for improving a load increase rate of the power plant of claim 1 , wherein the real operation data comprises an input value and an output value corresponding to the input value, and wherein the correcting of the process model comprises changing the first parameter such that a root mean square deviation (RMSD) or a mean absolute deviation (MAD) between a calculation value of the process model and the real operation data of the power plant becomes the minimum when the input value is input to the process model. 3. The apparatus for optimizing the control parameters for improving load change rate of the power plant of claim 2 , wherein the first parameter is changed within a preset correction range. 4. The apparatus for optimizing the control parameters for improving a load charge rate of the power plant of claim 3 , wherein the first parameter comprises at least one of a property curve of a spray valve, a time delay of a fuel, and a property time of a heat exchanger. 5. The apparatus for optimizing the control parameters for improving a load change rate of the power plant of claim 1 , wherein the corrected forecast model comprises one or more function comprising the time delay parameter and an input variable and a target value corresponding to the input variable are provided and the tuning of the time delay parameter comprises correcting the time delay parameter such that a difference between the calculation value of the corrected forecast model and the target load increase rate becomes the minimum when the input variable is input to the corrected forecast model. 6. The apparatus for optimizing the control parameters for improving a load change rate of the power plant of claim 1 , wherein the processor is configured to determine that the calculation value of the corrected forecast model under the time delay parameter meets the target load increase rate of the power plant based on the minimum difference between the calculation value of the corrected process model and the target load increase rate. 7. The apparatus for optimizing the control parameters for improving a load change rate of the power plant of claim 1 , wherein the process model comprises: a flow rate calculating module configured to calculate the flow rate of a superheater reducer; a heat-input calculating module configured to calculate a heat-input; and a steam temperature calculating module configured to calculate a steam temperature. 8. The apparatus for optimizing the control parameters for improving a load change rate of the power plant of claim 7 , wherein the configuring of the forecast model comprises modeling each of the flow rate calculating module, the heat-input calculating module, and the steam temperature calculating module in a form of a block line diagram based on a time delay function. 9. A computing apparatus for optimizing control parameters for improving a load change rate of a power plant comprising: a memory configured to store compute readable instructions; and one or more processor, coupled with the memory, configured to execute the computer readable instructions to perform steps comprising: correcting a first parameter of a process model for the load change rate of the power plant by changing a first parameter of the process model using real operation data of the power plant in a forecast model comprising the process model and a control model; and tuning a time delay parameter of the corrected forecast model, the time delay parameter being related to a delayed response of the power plant, so that a calculation value of the corrected forecast model under the time delay parameter meets a target load increase rate of the power plant. 10. The apparatus for optimizing the control parameters for improving a load change rate of the power plant of claim 9 , wherein the real operation data comprises an input value and an output value corresponding to the input value, and wherein the correcting of the process model comprises changing the first parameter such that a root mean square deviation (RMSD) or a mean absolute deviation (MAD) between a calculation value of the process model and the real operation data of the power plant becomes the minimum when the input value is input to the process model. 11. The apparatus for optimizing the control parameters for improving load changing rate of the power plant of claim 10 , wherein the first parameter is changed within a preset correction range. 12. The apparatus for optimizing the control parameters for improving a load change rate of the power plant of claim 11 , wherein the first parameter comprises at least one of a property curve of a spray valve, a time delay of a fuel, and a property time of a heat exchanger. 13. The apparatus for optimizing the control parameters for improving a load change rate of the power plant of claim 9 , wherein the corrected forecast model comprises one or more function comprising the time delay parameter an input variable and a target value corresponding to the input variable are provided, and the tuning of the time delay, parameter comprises correcting the time delay parameter such that a difference between the calculations value of the corrected forecast model and the target value becomes the minimum when the input variable is input to the corrected forecast model. 14. A method for optimizing control parameters for improving a load change rate of a power plant, the method operating a non-transitory computer readable medium with instruction stored thereon, that when executed by one or more processor, perform steps comprising: configuring a forecast model of the load change rate of the power plant comprising a process model and a control model; correcting the process model by changing a first parameter of the process model using real operation data of the power plant; and tuning a time delay parameter of the corrected forecast model, the time delay parameter being related to a delayed response of the power plant so that the calculation value of the corrected forecast model under the time delay parameter meets a target load increase rate of the power plant. 15. The method of claim 14 , wherein the real operation data comprises an input value and an output value corresponding to the input value, and wherein the correcting the first parameter of the process model comprises changing the first parameter such that a root mean square deviation (RMSD) or a mean absolute deviation (MAD) between a calculation value of the process model and the real operation data of the power plant becomes the minimum when the input value is input to the process model. 16. The method of claim 15 , wherein the fi
by attemperating the superheated steam, e.g. by injected water sprays · CPC title
Controlling, e.g. stopping or starting · CPC title
by means of heat exchangers · CPC title
Total factory control, e.g. smart factories, flexible manufacturing systems [FMS] or integrated manufacturing systems [IMS] · CPC title
using a predictor · CPC title
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