电力系统保护与控制Issue(24)：44-49,6.
一种用于计算光伏组件温度的多元非线性函数拟合与修正方法
A multivariate nonlinear function fitting and modified method for calculating the temperature of PV modules
摘要
Abstract
In order to obtain the module temperature of PV array, by analyzing the relationship between module temperatures and influencing factors, the function law between various external environmental factors and module temperatures is determined. Combining multivariate nonlinear function fitting with BP neural network, this paper proposes a more comprehensive method to calculate the temperature of PV modules. Aiming at the partial shading of PV arrays, the method is modified by analyzing the relationship between temperature of modules and the maximum power point. The actual data from a photovoltaic power plant verify that the method has high accuracy and strong practicability. It can reflect the changes in the external environment and has a strong self-adaptivity.关键词
组件温度/影响因素/多元非线性拟合/BP神经网络/局部遮阴Key words
module temperature/influencing factors/multivariate nonlinear function fitting/BP neural network/partial shading分类
信息技术与安全科学引用本文复制引用
刘宝柱,颜洪正,王立国..一种用于计算光伏组件温度的多元非线性函数拟合与修正方法[J].电力系统保护与控制,2013,(24):44-49,6.基金项目
国家高技术研究发展计划“863”课题(2011AA05A301) （2011AA05A301）
This work is supported by National High-tech R&D Program of China (863 Program)(No.2011AA05A301) （863 Program）
