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Maximum Power Point Tracking techniques for photovoltaic systems: a comprehensive review and comparative analysis
Citation
Lyden, S and Haque, ME, Maximum Power Point Tracking techniques for photovoltaic systems: a comprehensive review and comparative analysis, Renewable and Sustainable Energy Reviews, 52 pp. 1504-1518. ISSN 1364-0321 (2015) [Refereed Article]
Copyright Statement
Copyright 2015 Elsevier Ltd. All rights reserved.
DOI: doi:10.1016/j.rser.2015.07.172
Abstract
Maximum Power Point Tracking (MPPT) is an important concern in Photovoltaic (PV) systems. As PV systems have a high cost of energy it is essential that they are operated to extract the maximum possible power at all times. However, under non-uniform environmental conditions, which frequently arise in the outdoor environment, many MPPT techniques will fail to track the global peak power. This review paper discusses conventional MPPT techniques designed to operate under uniform environmental conditions and highlights why these techniques fail under non-uniform conditions. Following this, techniques designed specifically to operate under non-uniform environmental conditions are analysed and compared. Simulation results which compare the performance of the common Perturb and Observe (P&O) method, the Particle Swarm Optimisation (PSO) and the Simulated Annealing (SA) MPPT approaches under non-uniform environmental conditions are also presented. The research presented in this review indicates that there is no single technique which can achieve reliable global MPPT with low cost and complexity and be easily adapted to different PV systems.
Item Details
Item Type: | Refereed Article |
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Keywords: | maximum power point tracking, photovoltaic |
Research Division: | Engineering |
Research Group: | Electronics, sensors and digital hardware |
Research Field: | Photovoltaic devices (solar cells) |
Objective Division: | Energy |
Objective Group: | Renewable energy |
Objective Field: | Solar-photovoltaic energy |
UTAS Author: | Lyden, S (Dr Sarah Lyden) |
UTAS Author: | Haque, ME (Dr Md Enamul Haque) |
ID Code: | 104499 |
Year Published: | 2015 |
Web of Science® Times Cited: | 101 |
Deposited By: | Engineering |
Deposited On: | 2015-11-12 |
Last Modified: | 2017-11-06 |
Downloads: | 0 |
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