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Concerns over environment and increased demand of energy have led the world to think about alternate energy sources such as wind, hydro, solar and fuel cells. Out of these, photovoltaic (PV) power generation systems have become increasingly important all over the world due its availability, cleanness, low maintenance cost and inexhaustible nature. But power produced by the photovoltaic system is stochastic in nature due to the variation of solar irradiation and cell temperature throughout the day. In order to track the varying power, a DC-DC converter have been proposed for the parallel operation of PV panel. The proposed DC/DC converter is designed by a coupled inductor with same winding turns in the primary and secondary sides. In step-up mode, the primary and secondary windings of the coupled inductor are operated in parallel charge and series discharge to achieve high step-up voltage gain. In step-down mode, the primary and secondary windings of the coupled inductor are operated in series charge and parallel discharge to achieve high step-down voltage gain. Thus, the proposed converter has higher step-up and step-down voltage gains than the conventional bidirectional dc-dc boost/buck converter. The proposed converter and the conventional bidirectional boost/buck converter, the average value of the switch current in the proposed converter is less than the conventional bidirectional boost/buck converter. [ABSTRACT FROM AUTHOR]

Increasing energy demand is motivating us to search for new way to meet the demand with existing grid system. This can be fulfilled with microgrids. But there is a challenge in controlling point of renewable energy system and energy storage unit in microgrids. That is switching the microgrid according to the demand without disturbing the main grid in both online and offline conditions. This project presents a control method for demand response management to optimize the microgrid composed of PV system, wind turbine, diesel generator and energy storage unit. In order to address the problem, the proposed control technique is fuzzy logic control. This proposed control strategy efficiently manage the response to demand and ensure the independent operation of microgrid with respect to the main grid in both online and offline conditions. [ABSTRACT FROM AUTHOR]

Nowadays, environmental problems due to existing power plants seem to acquire more attention around the world, because it increases continuously the earth temperature and warming. Nowadays, renewable energies, especially photovoltaic (PV) energy, considered as palliative energy resource, are growing rapidly and are used in several applications, e.g., battery charging, home energy supply, and pumping systems. However, they suffer from a relatively low conversion efficiency, which makes their optimization necessary. This is done by extracting their maximum power for uctuating climatic environments. An efficient ANFIS based tracking algorithm is proposed for PV applications under mismatching conditions. PV fed zeta converter is used to step-up the output voltage and track the maximum power efficiently. An ANFIS based MPPT algorithm takes minimum time to find the MPP when subjected to rapid change in irradiance. [ABSTRACT FROM AUTHOR]