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Simulation and Testing of Photovoltaic with Grid Connected System

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4 Author(s)
K. K. Prajapat ; Dept. of Electr. Eng., Sri Balaji Coll. of Eng. & Technol., Jaipur, India ; Abhishek Katariya ; Ashok Kumar ; Shuchi Shukla

In the recent years the power demand is increasing regularly and it can be fulfilled by the use of conventional or non-conventional energy power plants. So, renewable energy sources like photovoltaic (PV) panels are used today in many applications. With the rapid development of photovoltaic system installations and increased number of grid connected power systems, it has become imperative to develop an efficient grid interfacing instrumentation suitable for photovoltaic systems ensuring maximum power transfer. The losses in the power converter play an important role in the overall efficiency of a PV system. Grid connected systems use a photovoltaic array to generate electricity, which is then fed to the main grid via a grid interactive inverter. When the solar array generates more power than is being used in the building, the surplus is exported to the grid. When the solar array generates less power than is being used in the building, the difference is imported from the grid. This system includes photovoltaic solar Panels, one inverter, 1 charge controller and a battery bank. The result shows that PV system would be suitable to supply electricity to cover the load requirement without using energy from the grid. The overall efficiency of the system depends on the efficiency of the SUNLIGHT-into-DC and the DC-into-AC conversion efficiencies. The first one varies up to 3% over a year. The second one, instead, shows a much greater variability. The output power of photovoltaic (PV) module varies with module temperature, solar isolation and 1oad changes etc. In order to control the output power of single-phase grid-connected PV system according to the output power of PV arrays. The experimental results of MATLAB simulation show that the proposed method has a good performance.

Published in:

Computational Intelligence and Communication Networks (CICN), 2011 International Conference on

Date of Conference:

7-9 Oct. 2011