Coal quality self-correcting and predictive control method for coordinated control system of thermal power generating unit

The invention provides a coal quality self-correcting and predictive control method for a coordinated control system of a thermal power generating unit; a dynamic matrix control strategy is adopted to realize regulation of fuel quantity and openness of a steam turbine adjusting valve, so that the lo...

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Bibliographische Detailangaben
Hauptverfasser:	CHEN WEI, LIU XICHUI, PAN LEI, LI YIGUO, SHEN JIONG
Format:	Patent
Sprache:	eng
Schlagworte:	CLIMATE CHANGE MITIGATION TECHNOLOGIES IN THE PRODUCTION ORPROCESSING OF GOODS CONTROL OR REGULATING SYSTEMS IN GENERAL CONTROLLING FUNCTIONAL ELEMENTS OF SUCH SYSTEMS GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS ORELEMENTS PHYSICS REGULATING TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE
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Beschreibung
Zusammenfassung:	The invention provides a coal quality self-correcting and predictive control method for a coordinated control system of a thermal power generating unit; a dynamic matrix control strategy is adopted to realize regulation of fuel quantity and openness of a steam turbine adjusting valve, so that the load and the main steam pressure of the unit are capable of immediately tracking target values; in addition, an online correction function of coal quality is arranged additionally, so that the control performance of the coordinated control system is improved under a coal quality changing condition. The basic principle is as follows: a coal quality model is arranged in a predication controller; when the coal quality of the unit changes, the coal quality model is amended in an online recognition method, further, a corresponding prediction model is amended and the deviation between the model and an actual object is reduced; therefore, the dynamic and stable deviations of the control process are further reduced and the control performance of the coordinated control system is improved.