Nowadays, energy access and demands are of high importance. In some remote areas where the main energy grids are difficult to access, photovoltaic solar standalone systems are highly recommended for utility operation. In order to achieve and maintain successfully the required output power at maximum levels under any variable environmental conditions, high PV solar powers are necessary to feed efficiently the output. In this paper, an improved particle swarm optimization-based buck-boost converter (IPSO-BBC) for optimum standalone load charging is investigated. The proposed IPSO-BBC algorithm utilizes the PV solar voltage and current as two inputs based on PSO parameters. Solarex-MSX photovoltaic solar panel of 60 watts maximum power is used for the whole system operation. In order to harvest the maximum power for the output satisfaction, therefore; for this purpose, the IPSO-BBC algorithm approach is implemented. The PSO is used to monitor the PV voltage and current and BBC for the duty cycle settlement in various environmental conditions. The IPSO-BBC approach optimally presents a very good efficiency of 98.24% and a tracking factor of 0.93 with PV solar power generation performance under partial shading conditions. The entire simulation is carried out by MATLAB/Simulink.