Authors : S. Jerril Gilda and K. Niraimathy
Abstract: In this study, maximum power point tracking is done in a solar photovoltaic system for maximum harvesting of power from the sun, so that, the solar power generation can be improved. There are various MPPT techniques used in solar PV system for extracting power from the sun but the most used is perturbation and observation and particle swarm optimization methods. In this study a comparative analysis of perturbation and observation and particle swarm optimization technique is done for maximum power point tracking of solar photovoltaic system under linear and non-linear condition. The efficiency of both the technique is compared and the best technique is applied for maximum power point tracking in a solar PV system under linear and non-linear conditions that prevail in the atmosphere. Linear and nonlinear are conditions in the atmosphere that occurs due to direct sunlight irradiance and diffused irradiance on the Earth’s atmosphere that affects the solar PV panel insolation level. Under varying atmospheric conditions the solar PV generation is made more efficient by using the best maximum power point tracking technique.
S. Jerril Gilda and K. Niraimathy, 2019. Maximum Power Point Tracking in SPV System under Linear and Non-Linear Condition. International Journal of Electrical and Power Engineering, 13: 30-35.