## 1 Introduction
In the 2000s, research on this topic increased annually by 18% on average, and most of the papers presented were journal articles [17]. However, one of the biggest challenges in using hydrogen as an energy source is the difficulty in storing it. For this reason, many works have focused on this problem. Between 2009 and 2018, 72.3% of all published literature on hydrogen cells focused on storage. In addition, the United States is the country with the most significant influence on hydrogen storage, even though China is the country that has published the most significant number of papers on this subject [18]. Studies have also been carried out in which hybrid systems have been analyzed. These systems have been applied to electric vehicles, achieving an average consumption with a hydrogen cell of 3.7 kWh and 1.12 kg/100 km for hydrogen consumption [19]. Similarly, hybrid systems made up of wind and solar generation, and the use of hydrogen cells have been evaluated. The authors of [20] proposed a model that integrated a horizontal axis wind turbine and a solar panel system. PVC tubes were used as the material to construct the wind turbine blades. That work proposed the integration of two emerging energy systems based on non-conventional energy sources, through a load controller and an inverter for the energy supplied to the residential level [20]. In addition, a smart energy hybrid generation system was studied, which integrated a fuel cell stack, a wind turbine, and a solar panel system. The results obtained in this study show that in the winter, the integration of the system with a wind source provides better performance than the solar system alone. The wind turbine produced 16 kW during January, while the solar system generated 2 kW during the same period. In June, the solar thermal system generated 17 kW, and the wind turbine only 11 kW, which means that the studies of these systems must be carried out for an entire year [21]. The optimal design through optimization algorithms was studied for hybrid energy generation systems based on solar and wind sources, considering three search algorithms to improve the accuracy of the results. In that study, solar radiation was predicted from meteorological variables such as ambient temperature and wind speed with artificial neural network architecture. Thus, the size of the systems must be considered to determine the economic viability of these systems [22]. These hybrid systems have presented promising results. The authors of [23] created a system that has a solar heliostat field, a wind turbine, and a copper-chlorine thermochemical cycle for hydrogen production. In this system, the solar heliostat field was used as a thermal energy source, and the wind system was used to generate the electrical energy necessary for electrolysis and the compressors of the hydrogen storage system. This system was modeled and simulated, obtaining high hydrogen production rates and an overall system efficiency of up to 49% [23]. The main contribution of this paper is to present the comparative performance analysis of hybrid renewable energy generation systems under different load demands, located in areas with the greatest wind and solar potential in Colombia. In addition, meteorological data to calculate mathematical models were used to predict the solar radiation and statistical probability methods for the wind speed prediction in the selected areas. Simulating the system is expected to test the operational planning, the renewable energy complementarity of this system in the selected areas, and the feasibility of using the proton exchange membrane (PEM) cell as a support to the hybrid renewable system at those times of the year when wind and solar valleys are present. Likewise, some performance indicators of the proportional integral derivative (PID) control system based on the error calculation are evaluated under two energy demand profiles.