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MPPT technique based on perturb and observe method for pv systems under partial shading conditions

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dc.contributor.author Raziya, MRF
dc.contributor.author Walpita, HWHL
dc.contributor.author Afnaz, MAM
dc.contributor.author Stany, J
dc.contributor.author Ranaweera, KMIU
dc.date.accessioned 2019-08-30T09:41:21Z
dc.date.available 2019-08-30T09:41:21Z
dc.identifier.uri http://dl.lib.mrt.ac.lk/handle/123/14926
dc.description.abstract This paper presents implementation of a maximum power point (MPP) tracking system with a novel algorithm to track the global MPP (GMPP) of solar PV system under partial shading conditions. Due to partial shading caused by clouds, trees and buildings on the solar panel, MPP tracking algorithm becomes more complex because of the presence of multiple peaks in the power- voltage characteristics. When PV array is uniformly illuminated there is only one MPP, while in the partial shading conditions multiple MPPs formed. Many algorithms track the local MPP(LMPP) instead of global MPP (GMPP) and this cause PV system to become low efficient. Therefore, a novel algorithm based on Perturb and Observe (P&O) technique is proposed. Algorithm consists of two main parts, scanning of power voltage characteristics for the maximum power among power values at some defined voltages, and P&O algorithm is run near the maximum power to track the exact GMPP. The proposed method was validated in a simulation study and an experimental study. From the experimental results 84.90% MPP tracking efficiency has realized. en_US
dc.language.iso en en_US
dc.subject Global maximum power point en_US
dc.subject MPPT algorithm en_US
dc.subject Partial shading conditions en_US
dc.subject Perturb and observe en_US
dc.subject Photovoltaic en_US
dc.title MPPT technique based on perturb and observe method for pv systems under partial shading conditions en_US
dc.type Conference-Abstract en_US
dc.identifier.faculty Engineering en_US
dc.identifier.year 2019 en_US
dc.identifier.conference Moratuwa Engineering Research Conference - MERCon 2019 en_US
dc.identifier.place Moraruwa, Sri Lanka en_US


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