Accurate Estimation of Photovoltaic Power Generation Based on Modified Deep Learning
In order to achieve accurate estimation and calculation of power generation in power plants,a modified deep learning algorithm is introduced.Taking a photovoltaic power plant as an example,a design and research on accurate esti-mation methods of power generation is carried out.The solar radiation amount of photovoltaic power plants is calculated.Power generation data of photovoltaic power plants,including power,current,voltage,and related meteorological data such as solar radiation intensity,temperature,humidity,etc.,are collected and subsequently preprocessed.To eliminate the impact of photovoltaic module loss on power generation estimation,a photovoltaic module loss analysis is conducted first,based on which accurate estimation of the power generation of photovoltaic power plants can be achieved.The exper-imental results of practical applications show that the designed method can effectively control the estimation error of pho-tovoltaic power generation,and improve the accuracy and reliability of power generation estimation values.
modified deep learningirradiation amountpre-processingaccurate estimationpower generationphoto-voltaic power plants
NETL
NSTL
万方数据
