神经网络在太阳辐射传感器设计中的应用

为了测量太阳辐照度以便达到使光伏电站的效率最大化，提出了一种新的基于反馈神经网络的太阳辐照度测量方法，该方法可用来直接使光伏电站的效率最大化。所提出的传感器由一个光伏电池、一个温度传感器和一个低成本的微控制器组成。计算表明，提出的传感器设计成本较低，因而该装置在光伏电站的大型部署中是一个很好的替代品。使用实验样机对所提出的方法进行了验证，结果显示与商用装置相比，本文设计的传感器更够更加精确地跟踪光伏电站内的太阳辐照度。

The neural network in the application in the design of solar radiation sensor

In order to measure the solar irradiance in order to achieve the purpose of maximizing the efficiency of photovoltaic power station. This paper presents a solar irradiance measurement method based on neural network is new, the method can be used to directly maximize the efficiency of photovoltaic power station. The proposed sensor composed of a micro controller for a photovoltaic cell, a temperature sensor and a low cost. Preliminary estimates indicate that the sensor is proposed in this paper is of low cost, so the device in large-scale deployment of photovoltaic power station is a good substitute for. And the proposed method is validated by the experimental prototype, the results show compared with commercial devices, sensor designed in this paper can more accurately track the solar irradiance in the photovoltaic power station.