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.