10.5120/ijais15-451402
- Abdelhadi El Moudden and Ikram Bohadria and Abdelali Aarib and Widad Driouich and Abdelhamid Hmidat 2015. Improvement Analyses of a Photovoltaic System Controlled by the MPPT Command Perturb and Observe. International Journal of Applied Information Systems. 9, 4 (July 2015), 56-63. DOI=http://dx.doi.org/10.5120/ijais451402
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@article{10.5120/ijais2017451568, author = {Abdelhadi El Moudden and Ikram Bohadria and Abdelali Aarib and Widad Driouich and Abdelhamid Hmidat}, title = {Improvement Analyses of a Photovoltaic System Controlled by the MPPT Command Perturb and Observe}, journal = {International Journal of Applied Information Systems}, issue_date = {July 2015}, volume = {9}, number = {}, month = {July}, year = {2015}, issn = {}, pages = {56-63}, numpages = {}, url = {/archives/volume9/number4/773-1402-1}, doi = { 10.5120/ijais15-451402}, publisher = { xA9 2015 by IJAIS Journal}, address = {} } -
%1 451402 %A Abdelhadi El Moudden %A Ikram Bohadria %A Abdelali Aarib %A Widad Driouich %A Abdelhamid Hmidat %T Improvement Analyses of a Photovoltaic System Controlled by the MPPT Command Perturb and Observe %J International Journal of Applied Information Systems %@ %V 9 %N %P 56-63 %D 2015 %I xA9 2015 by IJAIS Journal
Abstract
A major problem with the Artificial Bee Colony (ABC) algorithm is its premature convergence to the locally optimal points of the search space, which often originates from the lack of explorative search capability of its mutation operator. This paper introduces ABC with Adaptive Mutation Rate (ABC-AMR), a novel algorithm that modifies the basic mutation operation of the original ABC algorithm in an explorative way. The novelty of the proposed algorithm lies in an adaptive mutation strategy that enables ABC-AMR to automatically adjust the mutation rate, separately for each candidate solution of the bee population, in order to customize the degree of explorations and exploitations around each candidate solution, while the original ABC algorithm employs a naxEFve fixed mutation rate. Besides, a few more explorative schemes and parameter values are employed by ABC-AMR to assist the adaptive mutation procedure. ABC-AMR is evaluated on several benchmark numerical optimization problems and results are compared with the basic ABC algorithm. Results show that ABC-AMR can perform better optimization than the original ABC algorithm on some of the benchmark problems.
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Keywords
MPPT, MPP, Photovoltaic System, Photovoltaic Generator, Perturb & Observe, Command, GPV, PV.
