A comparative study on photovoltaic MPPT algorithms under EN50530 dynamic test procedure

Li, Xingshuo, Wen, Huiqing, Hu, Yihua, Du, Yang, and Yang, Yong (2021) A comparative study on photovoltaic MPPT algorithms under EN50530 dynamic test procedure. IEEE Transactions on Power Electronics. (In Press)

[img] PDF (Accepted Publisher Version) - Accepted Version
Restricted to Repository staff only

View at Publisher Website: https://doi.org/10.1109/TPEL.2020.302421...
 
2
3


Abstract

Dynamic performance of maximum power point tracking (MPPT) algorithms is important to ensure high-power output under practical operating conditions. In this article, after reviewing three dynamic test procedures, including stepped operation procedure, day-by-day operation procedure, and EN50530 dynamic test procedure, three typical MPPT algorithms such as the fixed-step-size perturb and observe (P&O), variable-step-size incremental conductance, and hybrid-step-size beta method are evaluated experimentally under the EN50530 dynamic test procedure. Two dynamic EN50530 test sequences are adopted for the performance evaluation to cover different irradiance changing conditions. The PV model for EN50530 dynamic test sequences is built, and the effects of wrong-step changes by using three MPPT algorithms are analyzed systematically. The experimental comparison of three MPPT algorithms in terms of the tracking routines, accumulated energy, and tracking efficiency is presented. The research shows that the 0.5% fixed-step-size P&O may fail to track the MPP due to the tracking drift, whereas the beta algorithm exhibits the highest tracking efficiency under both dynamic sequences. The average tracking efficiency improvement of the beta algorithm compared with other two algorithms are experimentally measured as 24.2% and 18.8%, respectively.

Item ID: 65060
Item Type: Article (Research - C1)
ISSN: 1941-0107
Keywords: Maximum power point tracking (MPPT), photovoltaic (PV) system, EN50530 dynamic test procedure, dynamics, tracking efficiency
Copyright Information: © 2020 IEEE. Personal use is permitted, but republication/redistribution requires IEEE permission
Date Deposited: 30 Nov 2020 05:27
FoR Codes: 40 ENGINEERING > 4008 Electrical engineering > 400803 Electrical energy generation (incl. renewables, excl. photovoltaics) @ 100%
SEO Codes: 85 ENERGY > 8505 Renewable Energy > 850504 Solar-Photovoltaic Energy @ 100%
Downloads: Total: 3
More Statistics

Actions (Repository Staff Only)

Item Control Page Item Control Page