Comparison of tow methods P&O and fuzzy logic controller for MPPT in the photovoltaic system

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dc.contributor.authorKhelaifa, Fethi
dc.contributor.authorLamamra, Kheireddine
dc.contributor.authorToumi, Djaafar
dc.date.accessioned2025-04-21T16:52:15Z
dc.date.available2025-04-21T16:52:15Z
dc.date.issued2021
dc.description.abstractAn important consideration in the use of the PV system is to operate the system near the maximum power point to increase the output efficiency of the PV panel. Maximum power point tracking (MPPT) techniques are used in PV applications to extract the maximum power that the PV panel can produce, which depends on different atmospheric conditions, namely solar insolation and temperature. In this paper, a new maximum power point tracker using fuzzy set theory is proposed to improve the energy conversion efficiency. A fuzzy algorithm based on linguistic rules describing the operator control strategy is applied to the boost converter control so that the maximum power point tracker linguistic variables implemented in the fuzzy logic controller were appropriately selected to modulate the DC-DC converter. The fuzzy logic controller offers advanced features such as fast response, good oscillation performance the results obtained are compared with the P&O technology.
dc.identifier.urihttp://dspace.univ-oeb.dz:4000/handle/123456789/21954
dc.language.isoen
dc.publisherUniversity of Oum El Bouaghi
dc.subjectPV system; MPPT: Maximum power point tracking ; fuzzy logic; P&O
dc.titleComparison of tow methods P&O and fuzzy logic controller for MPPT in the photovoltaic system
dc.typeArticle
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The 1 ST international conference on electronics, artificial intelligence and technologies ICEAINT 2021