Summary

Proceedings of the 2012 International Symposium on Nonlinear Theory and its Applications

2012

Session Number:C2L-A

Session:

Number:618

Exploring Maximum Power Point by Population-Based Optimization Algorithms

Masaya MURAOKA,  Noriaki MIKAMI,  Toshimichi SAITO,  

pp.618-621

Publication Date:

Online ISSN:2188-5079

DOI:10.15248/proc.1.618

PDF download (635.5KB)

This paper studies an application of the differential evolution algorithm to the maximum power point search in photovoltaic systems. Depending on the insolation, the power characteristic varies and complicated multi-peak may be generated. Applying a basic algorithm to a multi-peak objective function of terminal voltage vector, we have confirmed that the particles tend not to be trapped into local optima and global search can be possible. If parameters are selected suitably, our algorithm can find the maximum power points.

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