Performance Assessment of AI-Based MPPT Techniques For Grid Connected Photovoltaic System
4th International Conference on Renewable Energy: Generation and Applications, At BELFORT - FRANCE • 2016
Publication Information
Authors
M. A. Ebrahim; H. A. AbdelHadi; H. M. Mahmoud; E. M. Saied; M. M. Salama
Keywords
Photovoltaic; maximum power point tracking techniques; PI controller; particle swarm optimization
Journal
4th International Conference on Renewable Energy: Generation and Applications, At BELFORT - FRANCE
Publisher
UTBM
Volume
1
Issue
1
Pages
1-9
publication.type
International
Paper Link
Open Link
Supplementary Materials
Not Available
Abstract
Integrating photovoltaic (PV) plants into electric power system exhibits challenges to power system dynamic performance. These challenges stem primarily from the natural characteristics of PV plants, which differ in some respects from the conventional plants. The most important challenge is how to extract and regulate the maximum power from sun. This paper presents optimal design for the most commonly used Maximum Power Point Tracking (MPPT) techniques based on Proportional Integral tuned by Particle Swarm Optimization (PI-PSO). These suggested techniques are, (1) the incremental conductance, (2) perturb and observe, (3) fractional short circuit current and (4) fractional open circuit voltage techniques. A comparative study with respect to the energy availability ratio from photovoltaic panels was performed. The simulation results have proved that the proposed controllers have an impressive tracking response. The system dynamic performance improved greatly using the proposed controllers.
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