DocumentCode :
164360
Title :
Low cost MPPT controller for a photovoltaic-based microgrid
Author :
Seyedmahmoudian, M. ; Oo, Amanullah Maung Than ; Arangarajan, V. ; Shafiullah, G.M. ; Stojcevski, Alex
Author_Institution :
Sch. of Eng., Deakin Univ. Waurn Ponds, Waurn Ponds, VIC, Australia
fYear :
2014
fDate :
Sept. 28 2014-Oct. 1 2014
Firstpage :
1
Lastpage :
6
Abstract :
Photovoltaic based microgrid have been increasingly investigated in recent years, ascribable to their fundamental advantages such as the infinite energy source, environmentally friendly aspect and low upkeep cost. However, in practice, they are still considered as an expensive and low output option of renewable energy resources. To extract the maximum possible power from the output of the PV system, a reliable maximum power point tracker (MPPT) is required. Numerous studies have been conducted to introduce the best MPPT techniques suitable for different types of PV systems. However, they are mostly able to track the MPP from the PV system when the output signals (Voltage and Current) of individual array are available. In this study, a meta-heuristic method, based on particle swarm optimization theory, is used to determine the actual MPP of PV system, including several PV arrays, by only single current sensor at the output terminal. The results of the proposed PSO based technique, for tracking the global MPP in a multidimensional search space, have been presented at the end of this paper.
Keywords :
distributed power generation; maximum power point trackers; multidimensional systems; particle swarm optimisation; photovoltaic power systems; MPPT controller; MPPT techniques; PV arrays; PV systems; current sensor; maximum power point tracker; meta-heuristic method; multidimensional search space; output terminal; particle swarm optimization theory; photovoltaic-based microgrid; Arrays; Control systems; Educational institutions; Maximum power point trackers; Microgrids; Photovoltaic systems; Low cost PV configuration; Maximum Power point Tracking; Meta-heuristic Optimization; Photovoltaic Microgrid;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Engineering Conference (AUPEC), 2014 Australasian Universities
Conference_Location :
Perth, WA
Type :
conf
DOI :
10.1109/AUPEC.2014.6966567
Filename :
6966567
Link To Document :
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