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Improved differential evolution-based MPPT algorithm using SEPIC for PV systems under partial shading conditions and load variation
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posted on 2018-01-15, 00:00 authored by K S Tey, S Mekhilef, Mohammadmehdi Seyedmahmoudian, Ben HoranBen Horan, Aman Maung Than OoAman Maung Than Oo, Aleksandar StojcevskiIEEE Photovoltaic arrays subject to partial shading conditions have more than one maximum power point (MPP), and conventional algorithms are unable to track the global maximum power point (GMPP) accurately. Thus, an improved global search space differential evolution algorithm for tracking the GMPP is introduced in this paper. The main contribution of the proposed algorithm are: a) capability in tracking GMPP and faster respond against load variation, b) optimization algorithm can search for the GMPP within a larger operating region as it is implemented by using a single-ended primary-inductor converter, c) easy tuning as less parameter has to be set in the algorithm. The proposed system is first simulated in MATLAB to ensure its capability. The feasibility of the approach is validated through physical implementation and experimentation. Results demonstrate that the proposed algorithm has the capability to track the GMPP within 2 s with an accuracy of 99% and respond to load variation within 0.1 s.
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Journal
IEEE Transactions on Industrial InformaticsPublisher
IEEELocation
Piscataway, N.J.Publisher DOI
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1551-3203Language
engPublication classification
C1 Refereed article in a scholarly journalCopyright notice
2017, IEEEUsage metrics
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differential evolutionmaximum power point trackingpartial shadingphotovoltaic array systemDC-DC convertersingle-ended primary-inductor converterScience & TechnologyTechnologyAutomation & Control SystemsComputer Science, Interdisciplinary ApplicationsEngineering, IndustrialComputer ScienceEngineeringmaximum power point tracking (MPPT)photovoltaic (PV) array systemINCREMENTAL CONDUCTANCE ALGORITHMPOINT TRACKING METHOD
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