An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System under Partial Shading

Li, H, Yang, D, Su, W, Lu, J and Yu, X 2019, 'An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System under Partial Shading', IEEE Transactions on Industrial Electronics, vol. 66, no. 1, pp. 265-275.


Document type: Journal Article
Collection: Journal Articles

Title An Overall Distribution Particle Swarm Optimization MPPT Algorithm for Photovoltaic System under Partial Shading
Author(s) Li, H
Yang, D
Su, W
Lu, J
Yu, X
Year 2019
Journal name IEEE Transactions on Industrial Electronics
Volume number 66
Issue number 1
Start page 265
End page 275
Total pages 11
Publisher IEEE
Abstract Solar photovoltaic (PV) systems under partial shading conditions (PSCs) have a nonmonotonic P -V characteristic with multiple local maximum power points, which makes the existing maximum power point tracking (MPPT) algorithms unsatisfactory performance for global MPPT, if not invalid. This paper proposes a novel overall distribution (OD) MPPT algorithm to rapidly search the area near the global maximum power points, which is further integrated with the particle swarm optimization (PSO) MPPT algorithm to improve the accuracy of MPPT. Through simulations and experimentations, the higher effectiveness and accuracy of the proposed OD-PSO MPPT algorithm in solar PV systems is demonstrated in comparison to two existing artificial intelligence MPPT algorithms.
Subject Power and Energy Systems Engineering (excl. Renewable Power)
Keyword(s) Maximum power point tracking (MPPT)
partial shading conditions (PSCs)
particle swarm optimization (PSO)
solar photovoltaic (PV) systems
DOI - identifier 10.1109/TIE.2018.2829668
Copyright notice © 2018 IEEE.
ISSN 0278-0046
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 24 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 0 times in Scopus Article
Altmetric details:
Access Statistics: 16 Abstract Views  -  Detailed Statistics
Created: Wed, 17 Jul 2019, 14:30:00 EST by Catalyst Administrator
© 2014 RMIT Research Repository • Powered by Fez SoftwareContact us