基于光伏电池和被动光网络的碳减排技术研究

Research on Carbon Emission Reduction Technology Based on PV and xPON

为推进能源绿色低碳转型,建设新型能源体系,基于光伏电池(Photovoltaic,PV)与被动光网络(Passive Optical Network,xPON)的结合,提出了一种创新的可再生能源系统,旨在促进绿色电力的发展。首先,通过风力发电机组和光伏电池板的相互连接,构建出系统框架。其次,利用光纤射频通信(Radio over Fiber,RoF)和xPON的融合,将能源数据从风力发电机和太阳能电池传送到中央控制站。最后,搭建出PV等效电路与风力发电机组模型,并使用卷积核函数向量机与太阳能电池相结合,实现了风能与太阳能的高效混合。实验结果表明,系统的PV模块可扩展性达到90%,服务质量高达62%,功耗仅为96%,网络效率高达92%,训练精度达到95%,其在多个方面都具有明显的优势。因此,该技术不仅可以提高可再生能源的效率,还可以优化其在光网络环境中的性能,从而为绿色能源和通信技术的融合提供了新的可能性。

In order to advance the green and low-carbon transformation of energy and establish a novel energy system,this paper proposes an innovative renewable energy system based on the combination of photovoltaic(PV)and passive optical network(xPON)technologies to promote the development of green electricity.Firstly,a system framework is constructed by interconnecting wind turbines and photovoltaic panels.Secondly,by integrating radio over fiber(RoF) and xPON networks,energy data is efficiently transmitted from wind turbines and solar panels to a central control station.Finally,an equivalent PV circuit and wind turbine model are established,and the efficient hybridization of wind and solar energy is achieved by combining convolutional kernel support vector machine with solar panels.Experimental results demonstrate that the system exhibits significant advantages with a scalability of 90% for PV modules,a service quality of 62%,low power consumption at 96%,high network efficiency at 92%,and a training accuracy of 95% in multiple aspects.Therefore,this research not only enhances the efficiency of renewable energy but also optimizes its performance in optical network environments,providing new possibilities for the integration of green energy and communication technologies.