ASSESSMENT OF MAXIMUM POWER POINT TRACKING TECHNIQUES FOR PV SYSTEM APPLICATIONS | ||||
| ERJ. Engineering Research Journal | ||||
| Article 3, Volume 38, Issue 2, April 2015, Page 127-136 PDF (1.24 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/erjm.2015.66791 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mohamed A. Farahat; Mohamed A. Enany; Ahmed Nasr | ||||
| Department of Electrical power and machines, Faculty of Engineering, Zagazig University | ||||
| Abstract | ||||
| PV energy is one of the most important renewable energies because it is clean, requires very little maintenance. However, the relatively high costs and low conversion efficiency are still the major challenge to a larger and faster spread of PV systems. Therefore, the maximum power point tracker (MPPT) is essential in a PV system for maximizing the conversion efficiency of the solar array. Because of the nonlinear behavior of PV systems, various techniques of MPPT are employed in order to continuously operate the PV array at their MPP despite the unavoidable changes in solar irradiance and temperature. This paper presents an assessment of five widely used MPPT techniques. These techniques are simulated in Matlab/Simulink environment in order to provide a comparison in terms of sensors required, ease of implementation, efficiency and the dynamic response of the PV system to variations in temperature and irradiance to determine appropriateness for the different applications of PV system. This can be used as a reference for future research related to PV power generation. | ||||
| Keywords | ||||
| MPPT techniques; Photovoltaic system (PV); Perturb and Observe (P&O); Incremental Conductance (IncCond) and Fuzzy Logic Control (FLC) | ||||
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