Wavelet-based wind power plant generation power efficiency prediction method

• Main Authors: ZHANG XUEWEI, DU JIAHUI, WANG HAIKUN
• Format: Patent
• Language: Chinese; English
• Published: 10.11.2023
• Subjects: 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

The invention relates to the technical field of wind power generation, in particular to a wavelet-based wind power plant generation power efficiency prediction method. The method comprises the following steps: S1, collecting data of wind power; and S3, obtaining trend data from the original time sequence through a moving average technology, and decomposing residual data after trend decomposition into an approximate function and a detail function through discrete wavelet decomposition. According to the wavelet-based wind power plant generation power efficiency prediction method provided by the invention, a wavelet-based Fourier enhancement network model algorithm is provided for wind power prediction, trend decomposition and wavelet transform are introduced, a learning and capturing time mode is adapted in a long-term prediction environment, and the prediction efficiency of the wind power plant generation power efficiency is improved. When the data enters wavelet transformation, detail functions and approximat