| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 705899 | Electric Power Systems Research | 2007 | 13 Pages |
Abstract
Maximum power point trackers (MPPTs) play an important role in photovoltaic (PV) power systems because they maximize the power output from a PV system for a given set of conditions, and therefore maximize the array efficiency. This paper presents a novel MPPT method based on fuzzy cognitive networks (FCN). The new method gives a good maximum power operation of any PV array under different conditions such as changing insolation and temperature. The numerical results show the effectiveness of the proposed algorithm.
Related Topics
Physical Sciences and Engineering
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Energy Engineering and Power Technology
Authors
A.D. Karlis, T.L. Kottas, Y.S. Boutalis,