Wind power generation power prediction method and system

The invention discloses a wind power generation power prediction method and system, and relates to the technical field of new energy power generation control. The method comprises the following steps: acquiring wind turbine generator information, wind regime information and terrain information; cons...

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Hauptverfasser: MA LIANG, GUO ZONGYUN, WEI YING, ZHAI GULI, GUO DANDAN, MENG JIAN, MA XIN, TIAN XIAO, LIU CHANGSHENG, KONG BIN, KAI WANXIN, WANG YAQI, FENG PINGMIN
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creator MA LIANG
GUO ZONGYUN
WEI YING
ZHAI GULI
GUO DANDAN
MENG JIAN
MA XIN
TIAN XIAO
LIU CHANGSHENG
KONG BIN
KAI WANXIN
WANG YAQI
FENG PINGMIN
description The invention discloses a wind power generation power prediction method and system, and relates to the technical field of new energy power generation control. The method comprises the following steps: acquiring wind turbine generator information, wind regime information and terrain information; constructing a wind speed model based on a back propagation neural network and performing prediction to obtain a preliminary wind speed prediction result; determining coordinates and a relative position relation of the wind turbine generator according to the topographic information, and determining a wake flow superposition condition; correcting the initial wind speed prediction result and reconstructing a wind speed model; performing wind speed prediction by using the reconstructed wind speed model to obtain a final wind speed prediction result; and performing wind power generation power prediction through a wind power prediction model according to the final wind speed prediction result. The problem that wind power ge
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The method comprises the following steps: acquiring wind turbine generator information, wind regime information and terrain information; constructing a wind speed model based on a back propagation neural network and performing prediction to obtain a preliminary wind speed prediction result; determining coordinates and a relative position relation of the wind turbine generator according to the topographic information, and determining a wake flow superposition condition; correcting the initial wind speed prediction result and reconstructing a wind speed model; performing wind speed prediction by using the reconstructed wind speed model to obtain a final wind speed prediction result; and performing wind power generation power prediction through a wind power prediction model according to the final wind speed prediction result. 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The method comprises the following steps: acquiring wind turbine generator information, wind regime information and terrain information; constructing a wind speed model based on a back propagation neural network and performing prediction to obtain a preliminary wind speed prediction result; determining coordinates and a relative position relation of the wind turbine generator according to the topographic information, and determining a wake flow superposition condition; correcting the initial wind speed prediction result and reconstructing a wind speed model; performing wind speed prediction by using the reconstructed wind speed model to obtain a final wind speed prediction result; and performing wind power generation power prediction through a wind power prediction model according to the final wind speed prediction result. The problem that wind power ge</abstract><oa>free_for_read</oa></addata></record>
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language chi ; eng
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subjects CALCULATING
CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTINGELECTRIC POWER
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
ELECTRIC DIGITAL DATA PROCESSING
ELECTRICITY
GENERATION
PHYSICS
SYSTEMS FOR STORING ELECTRIC ENERGY
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
title Wind power generation power prediction method and system
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