Novel Maximum Power Point Tracking Strategy for Photovoltaic System Under Partially Shaded Condition Based Monte Carlo Algorithm

In this paper, a novel algorithm based on probability statistics and Monte Carlo method (MCM) is presented, which can be used to track the global power peak online, especially for partially shaded conditions. For this method, a probabilistic model with uniformly distributed random points should be constructed firstly for solar generation system, and MCM is used to predict the maximum power point (MPP). Next, single-peak method is used to obtain higher accuracy. By the new maximum power tracking (MPPT) approach, it is possible to track MPP without getting information of insolation. Besides, the convergence speed is independent of multiple peaks of photovoltaic (PV) traits. At last, a micro controller unit is needed. Plenty of simulations and experiments illustrate that the new strategy is reliable under complex irradiance conditions.