Mao, M, Zhang, L, Duan, Q et al. (1 more author) (2017) Multilevel DC-Link Converter Photovoltaic System with Modified PSO Based on Maximum Power Point Tracking. Solar Energy, 153. pp. 329-342. ISSN 0038-092X
Abstract
The paper presents a modified particle swarm optimization (MPSO) control strategy for the maximum power point tracking applied to a multilevel DC-link PV power generation system. This system consists of a chain of PV modules with individual DC-DC converters and has a DC-AC converter at its terminals for generating AC voltage. The proposed MPSO control method can predict all PV voltages at their maximum power point on the basis of respective light level and temperature. A PWM with permutation of DC converter switching is applied to balance switch utilisation. The method is applied to a system of five-voltage levels with two PV-converter units under different light intensities and the results are compared with the perturb and observe (P&O) method and the traditional PSO method under the same operating conditions. The paper shows that the new method gives more rapid convergence, increased power output, and lower total harmonic distortion.
Metadata
Item Type: | Article |
---|---|
Authors/Creators: |
|
Copyright, Publisher and Additional Information: | © 2017 Elsevier Ltd. This is an author produced version of a paper published in Solar Energy. Uploaded in accordance with the publisher's self-archiving policy. |
Keywords: | Multilevel DC-link converters; Modified particle swarm optimization (MPSO); Maximum power point tracking (MPPT); Photovoltaic (PV) system |
Dates: |
|
Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Electronic & Electrical Engineering (Leeds) > Institute of Communication & Power Networks (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 08 May 2017 15:49 |
Last Modified: | 01 Jun 2018 00:39 |
Status: | Published |
Publisher: | Elsevier |
Identification Number: | 10.1016/j.solener.2017.05.017 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:116025 |