Staff Members - Benha University
Mohamed Ahmed Ebrahim, H. A. AbdelHadi, H. M. Mohamed, E. M. M. Saied, M. M. Salama, “Optimal Design of MPPT Controller’s for Grid Connected Photovoltaic Array System”, International Journal of Emerging Electric Power Systems, October 2016, DOI: 10.1515/ijeeps – vol.17, no.5, 2016 , 0077 , PP. 1 - 7.
International Journal of Emerging Electric Power Systems, October 2016, DOI: 10.1515/ijeeps • 2016
Publication Information
Authors
Mohamed Ahmed Ebrahim, H. A. AbdelHadi, H. M. Mohamed, E. M. M. Saied, M. M. Salama
Keywords
Keywords: photovoltaic, maximum power point tracking
techniques, PI controller, particle swarm optimization
(PSO), energy availability ratio
Journal
International Journal of Emerging Electric Power Systems, October 2016, DOI: 10.1515/ijeeps
Publisher
DE GRUYTER
Volume
Vol.17 .
Issue
No.5
Pages
PP. 1 - 7.
publication.type
International
Paper Link
Not Available
Supplementary Materials
Not Available
Abstract
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 significant challenge is how to extract and
regulate the maximum power from the sun. This paper
presents the 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. This research
work provides a comprehensive comparative study with
the energy availability ratio from photovoltaic panels.
The simulation results proved that the proposed controllers
have an impressive tracking response. The system
dynamic performance improved greatly using the
proposed controllers.
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 significant challenge is how to extract and
regulate the maximum power from the sun. This paper
presents the 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. This research
work provides a comprehensive comparative study with
the energy availability ratio from photovoltaic panels.
The simulation results proved that the proposed controllers
have an impressive tracking response. The system
dynamic performance improved greatly using the
proposed controllers.