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Othman A. M Omar
Ainshams University
Computer Science & IT Electrical & Electronics Engineering

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Enhancement of On-grid PV System under Irradiance and Temperature Variations Using New Optimized Adaptive Controller Othman A. M Omar; Niveen M. Badra; Mahmoud A. Attia
International Journal of Electrical and Computer Engineering (IJECE) Vol 8, No 5: October 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1164.197 KB) | DOI: 10.11591/ijece.v8i5.pp2650-2660

Abstract

Solar Energy is one of the key solutions to future electrical power generation. Photovoltaic Plants (PV) are fast growing to satisfy electrical power demand. Different maximum power point tracking techniques (MPPT) are used to maximize PV systems generated power. In this paper, on grid PV system model in MATLAB SIMULINK is tested under sudden irradiance and cell temperature variations. Incremental Conductance MPPT is used to maximize generated power from the PV system with the help of new adaptive controller to withstand these heavy disturbances. The new adaptive controller is tuned for optimal operation using two different optimization techniques (Invasive weed and Harmony search).Optimization results for the two techniques are compared. .A robustness test is made to check system stability to withstand different random irradiance and cell temperature patterns without failure to track the maximum power point.Finally, a brief comparison is made with a previous literature and the new adaptive controller gives better results.
Co-Authors Mahmoud A. Attia Niveen M. Badra