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Algorithm Study on Improving Application Efficiency of Independent Solar Power Supply System
Author(s) -
Jigang Cao
Publication year - 2016
Publication title -
electronics science technology application
Language(s) - English
Resource type - Journals
eISSN - 2251-2608
pISSN - 2424-8460
DOI - 10.18686/esta.v3i1.2
Subject(s) - maximum power point tracking , photovoltaic system , duty cycle , span (engineering) , maximum power principle , computer science , electricity generation , power (physics) , engineering , electrical engineering , voltage , physics , inverter , civil engineering , quantum mechanics
With the development of photovoltaic (PV) technologies, applications of photovoltaic have grown rapidly, indicating that the photovoltaic are attractive to produce environmentally benign electricity for diversified purposes. In order to maximize the use of solar energy, this thesis focuses on the PV power generation systems, which includes modeling of PV systems, maximum power point tracking (MPPT) methods for PV arrays. Maximum Power Point Tracking (MPPT) method is an important means to improve the system efficiency of PV power generation system. MPPT theory and various MPPT algorithms are introduced in the literature. Based on those researches, this thesis proposes a novel implementation of an adaptive duty cycle P&O algorithm that can reduce the main drawbacks commonly related to the traditional P&O method.

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