Open AccessDESIGN AND PERFORMANCE ASSESSMENT OF HYBRID-MAXIMUM POWER POINT TRACKING ALGORITHM
Author(s) -
Tuan Anh Tran,
Quan Minh Duong
Publication year - 2019
Publication title -
tạp chí khoa học và công nghệ
Language(s) - English
Resource type - Journals
ISSN - 1859-1531
DOI - 10.31130/ict-ud.2019.96
Subject(s) - maximum power point tracking , photovoltaic system , renewable energy , computer science , power (physics) , maximum power principle , power optimizer , algorithm , automotive engineering , engineering , electrical engineering , voltage , inverter , physics , quantum mechanics
There is unprecedented interest in renewable energy, this work is accomplished in order to meet rising electricity demand as well as reduce the dependence on fossil fuels. In the distinctive means of renewable energy, recent years have seen rapid growth on installed power and output power as well. With the development of power electronic techniques and manufacturing materials, the installation cost of photovoltaic (PV) is reducing gradually, promising intense competition with the conventional energy in foreseeable future. However, this mean of energy is affected by coincident variation of irradiance parameters and environment temperature, etc. Hence, power electronic converters must integrate the algorithms of Maximum Power Point Tracking (MPPT) so that improve the output power of Photovoltaic systems. The previous MPPT algorithms have existed some drawbacks in operation such as oscillation and the slow process, etc. This article build a MPPT based on simulation and experimental methods and is compared to the conventional MPPT algorithms. The verifiable results show the hybrid MPPT algorithm has better performance, enhance the quantity of obtained power and increase the stability of the system.
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