Photovoltaic output fluctuation feature extraction method based on coarse graining description

• Main Author: ZHENG LINGWEI
• Format: Patent
• Language: Chinese; English
• Published: 22.09.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention relates to a photovoltaic output fluctuation feature extraction method based on coarse graining description. Aiming at the intermittent and uncertain characteristics of photovoltaic output, the method comprises the following steps: carrying out detrending reconstruction on a photovoltaic output sequence to obtain a sequence of which a fixed trending component is removed, and combining the sequence with an original photovoltaic output sequence to form a characteristic sequence; the characteristic quantity of the characteristic sequence is extracted through a coarse graining description mode, the fluctuation characteristic of photovoltaic output is represented by using a symbol histogram, noise and interference in historical photovoltaic output data are effectively filtered, and the mapping relation between the historical photovoltaic output data and the instantaneous weather type can be established. According to the method, under the random uncertainty of photovoltaic output, the photovoltaic dat