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العنوان
Assessment of hybrid photovoltaic array maximum power point tracking method /
الناشر
Yasmin Adel Abdelsattar Ali Hagag ,
المؤلف
Yasmin Adel Abdelsattar Ali Hagag
تاريخ النشر
2017
عدد الصفحات
61 P. :
الفهرس
يوجد فقط 14 صفحة متاحة للعرض العام

from 82

from 82

المستخلص

The high demand for electricity and also the recent variation in the natural conditions, drag the intention about the need for another Source of energy, recently the use of solar energy has been emerging. Photovoltaic arrays have limited conversion efficiency and thus, a maximum power point tracking (MPPT) technique is an essential component in a PV system, The MPPT is the strategy which guarantees that the PV system under any climatic changes gives the most extreme accessible power. This research adopts the most common categorization scheme of the MPPT techniques which is founded on two classifications: online and offline methods. This grouping is according to either the predefinition of operating points without system data update (offline methods) or continuous sampling of system variables, to update the PV module measurements (online methods).In these methods there is a trade-off between the simplicity, low cost from one side and accuracy from other side. Simple and low cost method can{u2019}t track the maximum point accurately, other accurate tracking techniques are usually complex and higher cost is required, also these techniques need very high experienced end customer. In order to get better method of MPPT techniques that guarantees the PV system under any climatic changes gives the most extreme available power with lower cost, a combination of both method offline and online was integrated as new hybrid method. In this thesis an assessment of hybrid method is presented. A number of MPPT techniques have been modeled using MATLAB/Simulink program and their efficiencies were compared after simulating them under different climatic conditions, the radiation and rapid change in radiation were taken into account. The introduced hybrid method shows excellent efficiency and better performance at startup and reacts well to fast changes in climatic conditions