Abstract
This paper describes a novel two-phase-based global maximal power point (GMPP) tracking (GMPPT) technique to achieve GMPP harvest effectively. During the previous phase, the working voltage (WV) approaching the maximal power point (MPP) under various partial shading (PS) conditions (PSCs) is estimated by conducting wide-ranging simulations, the perturb-and-observe (P&O) with an alpha scaling factor (AF-P&O) algorithm, during the second phase, takes over the next searching from the obtained WV to fast and accurately manipulate the operating point at the GMPP. A prototype of 600 W MPPT system has been constructed. Simulations are done to authenticate theoretical analysis of the proposed GMPP tracker. Compared with the previous deterministic cuckoo searching method, the simulation results in all 120 PS scenarios with non-repeatable irradiance show that the average improvements in different tracking performance evaluation indexes were better than the prior counterpart.
Original language | English |
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Title of host publication | Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022 |
Editors | Teen-Hang Meen |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 247-252 |
Number of pages | 6 |
ISBN (Electronic) | 9781665479295 |
DOIs | |
State | Published - 2022 |
Externally published | Yes |
Event | 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022 - Hualien, Taiwan Duration: 22 07 2022 → 24 07 2022 |
Publication series
Name | Proceedings of the 2022 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022 |
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Conference
Conference | 5th IEEE International Conference on Knowledge Innovation and Invention, ICKII 2022 |
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Country/Territory | Taiwan |
City | Hualien |
Period | 22/07/22 → 24/07/22 |
Bibliographical note
Publisher Copyright:© 2022 IEEE.
Keywords
- alpha factor perturb-and-observe
- partially shaded conditions
- two-phase search