An improved analysis of maximum power point tracking by using incremental conductance method and fuzzy logic of solar photovoltaic array under partial shaded condition is proposed in this paper. Maximum Power Point Tracking can minimize the system cost and maximize the array efficiency. The proposed system is simple and cost effective. When the PV array is under PSC, there may be many peak points in the P-V characteristic of PV arrays. Out of these only one peak point will be global maximum power point. Though there are many conventional maximum power point tracking (MPPT) methods, these methods are unable to extract maximum power under this condition. In this paper, a two-stage MPPT method is presented to overcome this drawback. In the first stage, a method is proposed to determine the occurrence of Partial Shading Condition(PSC), and in the second stage, by using a new algorithm that is based on the ramp change of the duty cycle and continuous sampling from the P-V characteristic of the array, global maximum power point of array is reached. Since open loop operation is used, the implementation of the proposed method is cheap and simple. The IC algorithm and fuzzy logic controller are designed to control the duty cycle of Buck Boost converter and to ensure the MPPT work at its maximum efficiency. These methods are robust in the context of changing environmental conditions and array characteristics, and have minimum negative impact on the connected power system. By using the simulation results we can analyze the proposed methods.
