4.8 Article

A Comparative Study on Photovoltaic MPPT Algorithms Under EN50530 Dynamic Test Procedure

Journal

IEEE TRANSACTIONS ON POWER ELECTRONICS
Volume 36, Issue 4, Pages 4153-4168

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPEL.2020.3024211

Keywords

Dynamics; EN50530 dynamic test procedure; maximum power point tracking (MPPT); photovoltaic (PV) system; tracking efficiency

Funding

  1. Research Development Fund of XJTLU [RDF-16-01-10, RDF-17-01-28]
  2. Research Enhancement fund of XJTLU [REF-17-01-02]
  3. Research Start Fund of Nanjing Normal University [184080H202B232]
  4. Suzhou Prospective Application Programme [SYG201723]
  5. XJTLU Key Programme Special Fund [KSF-A-08, KSF-E-13, KSF-T-04]

Ask authors/readers for more resources

This article evaluates three typical MPPT algorithms under dynamic test procedures, with the beta algorithm showing the highest tracking efficiency. The results demonstrate that the beta algorithm can significantly improve the performance of PV systems.
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 typicalMPPTalgorithms such as the fixed-step-size perturb and observe (P&O), variable-step-size incremental conductance, and hybrid-step-size betamethod 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.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.8
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available