Improved differential evolution-based MPPT algorithm using SEPIC for PV systems under partial shading conditions and load variation

Kok Soon Tey*, Saad Mekhilef, Mehdi Seyedmahmoudian, Ben Horan, Amanullah Than Oo, Alex Stojcevski

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

255 Citations (Scopus)

Abstract

Photovoltaic arrays subject to partial shading conditions have more than one maximum power point (MPP), and conventional algorithms are unable to track the global maximum power point (GMPP) accurately. Thus, an improved global search space differential evolution algorithm for tracking the GMPP is introduced in this paper. The main contribution of the proposed algorithm are the following: capability in tracking GMPP and faster respond against load variation; optimization algorithm can search for the GMPP within a larger operating region as it is implemented by using a single-ended primary-inductor converter; and easy tuning as less parameter has to be set in the algorithm. The proposed system is first simulated in PSIM to ensure its capability. The feasibility of the approach is validated through physical implementation and experimentation. Results demonstrate that the proposed algorithm has the capability to track the GMPP within 2 s with an accuracy of 99% and respond to load variation within 0.1 s.

Original languageEnglish
Pages (from-to)4322-4333
Number of pages12
JournalIEEE Transactions on Industrial Informatics
Volume14
Issue number10
DOIs
Publication statusPublished - Oct 2018
Externally publishedYes

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