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Author: search.filters.author.Khan-Ngern, WerachetSubject: search.filters.subject.PSO

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    Improved particle swarm optimization algorithm using average model on MPPT for partial shading in PV array
    (2014-10-15)
    Jumpasri, Nattawat
    ;
    Pinsuntia, Kittapas
    ;
    Woranetsuttikul, Kaweepoj
    ;
    Nilsakorn, Taywin
    ;
    Khan-Ngern, Werachet
    This paper presents the maximum power point tracking (MPPT) technique to improve the system operation during shading in photo voltaic array. This technique was based on the swarm optimization algorithm using average model. The algorithm has the simple topology and accuracy calculation. The PV system composed of the PV array, the synchronous buck-boost converter which can control the output voltage with the same polarity of both source and load. The PV array operating simulation was done by the PowerSim program where the MATLAB program simulates the particle swarm optimization with average model in various partial shading. Finally, the experimental results using average model show a fast response with good agreement of that simulation.
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    Comparison of distributed and Centralized control for partial shading in PV parallel based on Particle Swarm Optimization Algorithm
    (2014-10-15)
    Jumpasri, Nattawat
    ;
    Pinsuntia, Kittapas
    ;
    Woranetsuttikul, Kaweepoj
    ;
    Nilsakorn, Taywin
    ;
    Khan-Ngern, Werachet
    This paper presents the comparison of Distributed Control and Centralized Control for partial shading in PV parallel based on the Particle Swarm Optimization Algorithm. The distributed control is the connection of PV 1 panel with 1 MPPT and the centralized control is the connection of many PV panels with 1 MPPT. Both methods have difference advantage, efficiency, cost and maintenance. The simulation of both methods made in Powersim and Matlab Simulink. The analysis and conclusion were included.