Enhancement of Perturbation and Observation Algorithm for Maximum Power Point Tracking of PV Solar System

Renewable energy technologies has been an area of intensive research and have been experiencing a rapid growth and improvement over the years which have made them attractive to the global energy agencies because of it environmental friendliness and it affordable cost of implementation. In this paper, we presents an improvement of Perturbation and Observation (P&O) Maximum Power Point Tracking (MPPT) algorithms that improves the maximum power point of a Photovoltaic (PV) solar system under fast rapidly changing atmospheric condition. Simulation results shows that the 59.25W of maximum power of photovoltaic array when using normal P&O algorithm was stepped up to 59.70W using improved P&O algorithm with 95% reduction in overshoot. The results were interpreted using MATLAB/Simulink as a means of validation and it is evident that the improved perturbation and observation algorithm recorded an improvement of 0. 50W of maximum power of the photovoltaic array as compared to the normal P & O algorithm.