Solar energy is one of the most promising sources of energy to meet the ever-increasing demand for electricity in the world. But due to the low efficiency of solar photovoltaic (PV) cells and the dependence of their performance on environmental conditions, it is necessary to monitor the maximum power point (MPP) of the photovoltaic system. Hence, various maximum power point tracking methods are implemented with photovoltaic systems, but the design of the DC/DC converter is one of the main problems with maximum power point tracking methods. This article compares two different DC/DC converters for solar power conversion. The two converters are a buck converter and a buck-boost converter. The maximum power point tracking algorithm is designed to calculate battery voltage, PV array current, PV array voltage, PV array power, and output power. It has been observed that the buck-boost converter is the best converter for converting solar energy. The two circuits are modeled in MATLAB/Simulink R2021a. By means of the proposed control methods, there is a significant increase in the generation of electrical energy by photovoltaic panels. In the presented work, the information and control system of a low-power solar power plant is investigated. A large amount of converted electrical energy cannot be used by the consumer due to various losses in the photovoltaic system. To improve the efficiency of using the generated electricity, a promising algorithm was developed that is responsible for the operation of the station control unit. As a result, the quality of the solar installation was significantly improved and energy production for the consumer's power supply was increased. The simulation results will give future researchers a clear concept for predicting the behavior of the mentioned converters and designing the most efficient converter specified for solar MPPT.