DocumentCode :
1905164
Title :
Research on MPPT Technique in Photovoltaic Power Generation System
Author :
Fu, Qiang ; Tong, Nan
Author_Institution :
Coll. of Sci. & Technol., Ningbo Univ., Ningbo, China
Volume :
3
fYear :
2012
fDate :
23-25 March 2012
Firstpage :
394
Lastpage :
398
Abstract :
Maximum power point tracking (MPPT) is the core technique in photovoltaic power generaton system to improve energy utilization. Major research direciotns of MPPT are focused on model pattern and input-output paramerters pattern. This paper introduces the superiority and inferiority for MPPT in two kind of patterns. Morever, a new MPPT method in model pattern base on ant colony optimization algorithm(ACO) and an optimized fuzzy tracking method in input-output paramerters pattern are also proposed, which are proved to tracking the maximum power point (MPP)effectively from experimental results. Finally, combined with advantages of the above tracking methods, a set of integral tracking strategy is put forward to accurately and timely track MPP under different conditions.
Keywords :
ant colony optimisation; fuzzy set theory; maximum power point trackers; photovoltaic power systems; ACO algorithm; MPPT technique; ant colony optimization algorithm; energy utilization; input-output parameter pattern; integral tracking strategy; maximum power point tracking; model pattern; optimized fuzzy tracking method; photovoltaic power generation system; Accuracy; Mathematical model; Photovoltaic cells; Photovoltaic systems; Temperature; fuzzy algorithm; maximum power point tracking (MPPT); swarm intelligence; tracking strategy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Electronics Engineering (ICCSEE), 2012 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4673-0689-8
Type :
conf
DOI :
10.1109/ICCSEE.2012.346
Filename :
6188313
Link To Document :
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