This dissertation report presents an efficient photovoltaic (PV) generation integrated with multilevel inverter to ensure regulated power at user end. Perturb and observe (PO) algorithm based maximum power point tracking (MPPT) has been utilized to track maximum power for PV applications. However in PV based power generation, control problems arise due to large variation of irradiance round the clock. This problem can be overcome by hybrid PV generation system, i.e., application of secondary power source as battery and fuel cell integrated with PV generation unit.
In this dissertation report performance analysis of standalone hybrid PV, fuel cell and storage battery generation system has been done. The modeling of PV array has been done considering the temperature and sun’s irradiance. A MPPT technique has been implemented to track peak power to maximize the generated energy. For this PO algorithm has been used due to its simplicity and robustness. The DC/DC converter, as an integral part of MPPT system, has also been designed. Boost converters using proportional controller (PI) have been designed for PV generation to boost voltage up to 400V. Further this PV system is integrated with fuel cell and battery storage to form a hybrid generation system. The DC output of standalone hybrid PV-SOFC-Battery generation system is inverted by a single-phase multilevel converter. This output of developed standalone hybrid PV-SOFC-Battery generation system is used to supply the single-phase load.
The results have been verified with MATLAB/Simulink for different load applications. The simulation results for PVA, SOFC, MPPT, buck converter, boost converter and single -phase inverter has also been verified
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