Wind power plant monthly electric quantity combined prediction method and device using same

Wind power plant monthly electric quantity combined prediction method and device using same

The invention discloses an EEMD (ensemble empirical mode decomposition)-based wind power plant monthly electric quantity combined prediction method and a device using the method. The method comprises the following steps: S1, carrying out ensemble empirical mode decomposition on wind power electric q...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: CAO TIANYU, DONG JICHAO, QI GEQING, YANG QUN, LI JIFENG, PAN HUAN, SUN WANLI, ZOU NAN, ZHANG HENGRUI, LI WEIDONG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention discloses an EEMD (ensemble empirical mode decomposition)-based wind power plant monthly electric quantity combined prediction method and a device using the method. The method comprises the following steps: S1, carrying out ensemble empirical mode decomposition on wind power electric quantity data to obtain an EEMD decomposition result; s2, dividing an EEMD decomposition result, and dividing the plurality of intrinsic mode functions into a low-frequency component, an intermediate-frequency component, a high-frequency component and an ultrahigh-frequency component according to a zero-crossing rate; s3, predicting the high-frequency component, the intermediate-frequency component and the low-frequency component to respectively obtain a high-frequency component predicted value, an intermediate-frequency component predicted value and a low-frequency component predicted value; and S4, synthesizing the high-frequency component predicted value, the intermediate-frequency component predicted value and t