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
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