Maximum Power Point Tracking Using Fuzzy Logic Control for Grid-Connected Photovoltaic System&Operation of PV Cells under Partial Shading Conditions

Solar energy has been looked upon as a serious source of energy for many years because of the vast amounts of energy that are made freely available, if harnessed by modern technology. Electricity can be produced directly from photovoltaic (PV) cells which operate on photovoltaic effect. Each solar cell has a point at which the current (I) and voltage (V) output from the cell result in the maximum power output of the cell. Various approaches have been proposed to extract the maximum power from mismatched PV array. There is one new technique to optimize power from the mismatched PV array is reconfigurations. In this technique PV modules/cells in a PV array are continuously rearranged in series or parallel connections to facilitate the PV system to deliver maximum power even in shading conditions. In grid-connected photovoltaic (PV) systems energy is injected to the grid by keeping track of the maximum power point (MPP) of the panel, by reducing the switching frequency, and by providing high reliability. A fuzzy logic control based maximum power point tracking is used to obtain high efficiency and robustness of the solar photovoltaic (PV) power generation and establishes a dynamic model of grid-connected PV system by Matlab/Simulink environment which reflect the characteristics of the system accurately. A multilevel inverter topology is used to reduce total harmonic distortions in grid voltage and electromagnetic interference.