THE MPPT CONTROL METHOD BY USING BP NEURAL NETWORKS IN PV GENERATING SYSTEM

摘要

An efficiency method of Maximum Power Point Tracking (MPPT) is extremely important to improve the output characteristic of photovoltaic (PV) power generation system and reduce the cost of the system. The nonlinear and time-varying output characteristics of PV in the changing weather cause the difficult MPPT process. Neural networks algorithm is suitable for solving the nonlinear relation, and the result of comparing with the traditional disturbance observation shows that neural networks has better MPPT characteristics. The MPPT controller based on Back Propagation (BP) networks play an effective role to improve the efficiency and reduce the output vibration of PV power system.