Stochastic maximum power point tracking of photovoltaic energy system under partial shading conditions

Abstract A large portion of the available power generation a photovoltaic (PV) array could be wasted due to partial shading, temperature and irradiance effects, which create current/voltage imbalance between PV modules. Partial shading is phenomenon occurs when some modules in receive non-uniform irradiation dust, cloudy weather or shadows nearby objects such as buildings, trees, mountains, birds etc. Maximum point tracking (MPPT) techniques are designed order deal with this problem. In research, Markov Decision Process (MDP) based MPPT technique proposed. MDP consists set states, actions each state, state transition probabilities, reward function, discount factor. The system terms framework modelled first once actions, factor defined, resulting solved for optimal policy using stochastic dynamic programming. behavior analyzed characterized, results compared existing control methods.