Adaptive two-stage MPPT control of photovoltaic cells based on conductance ripple correlation

Maximum power point of photovoltaic CELLS changes with environmental factors such as temperature and sun exposure. This paper designs a fast two-stage maximum power point tracking algorithm based on photovoltaic output conductance ripple correlation. In stage I, a linear adaptive algorithm is used to approach the conductance of maximum photovoltaic power output fast. In stage II, conductance ripple correlation control algorithm is used to match with the conductance of maximum power output so as to realize maximum power point tracking. The simulation results prove that this algorithm has a certain adaptation and a rapid response to environmental changes and can effectively reduce oscillation around the maximum power point and has a strong robustness. © 2014 ICIC International.