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Content Provider | IET Digital Library |
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Author | Sun, Zongchang Yang, Zhoujun |
Abstract | The maximum power point tracking (MPPT) techniques are essential for the optimisation of the efficiency in the photovoltaic (PV) systems. Here, a practical PV model is discussed and employed, and cuk converter is selected as MPPT's DC–DC converter for PV systems. Then, on the basis of the power–current (P–I) characteristics curve of a PV cell, an improved MPPT algorithm with direct control by using the fuzzy controller is proposed. Compared with some algorithms mentioned here, the proposed algorithm is able to track a more accurate MPP quickly and have a smaller steady-state oscillation. To validate its correctness and good performance under the varying environmental conditions, simulation study on it is carried out in MATLAB/Simulink. Also, simulation results demonstrate the proposed algorithm here is feasible and in contrast, it has a faster dynamic and more robust steady-state performance. |
Starting Page | 1676 |
Ending Page | 1681 |
Page Count | 6 |
Volume Number | 2017 |
e-ISSN | 20513305 |
Issue Number | Issue 13, Jan (2017) |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/joe/2017/13 |
Alternate Webpage(s) | https://digital-library.theiet.org/content/journals/10.1049/joe.2017.0617 |
Journal | The Journal of Engineering |
Publisher | The Institution of Engineering and Technology |
Publisher Date | 2017-01-01 |
Access Restriction | Open |
Rights License | Creative Commons Attribution License (http://creativecommons.org/licenses/by/3.0/) |
Subject Keyword | Control of Electric Power System Cuk Converter DC–DC Converter Direct Control Fuzzy Control Fuzzy Controller Maximum Power Point Trackers Maximum Power Point Tracking Algorithm Maximum Power Point Tracking Technique MPPT Algorithm Photovoltaic Power System Photovoltaic System Power–current PV Cell PV Model PV System Solar Power Stations |
Content Type | Text |
Resource Type | Article |
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