Simulation of global MPPT based on teaching–learning-based optimization technique for partially shaded PV system-Reference-Cited by-同舟云学术

Simulation of global MPPT based on teaching–learning-based optimization technique for partially shaded PV system

Published:2016-10-17 Issue:3 Volume:99 Page:847-859
ISSN:0948-7921
Container-title:Electrical Engineering
language:en
Short-container-title:Electr Eng

Author:

Rezk Hegazy,Fathy Ahmed

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Electrical and Electronic Engineering

Link

http://link.springer.com/article/10.1007/s00202-016-0449-3/fulltext.html

Reference35 articles.

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3. Ahmed J, Salam Z (2014) A maximum power point tracking (MPPT) for PV system using cuckoo search with partial shading capability. Appl Ener 119:118–130

4. Liu Y et al (2012) A particle swarm optimization based maximum power point tracking algorithm for PV systems operating under partially shaded conditions. IEEE Trans Energy Convers 27(4):1027–1035

5. Sarvi M, Ahmadi S, Abdi S (2015) A PSO-based maximum power point tracking for photovoltaic systems under environmental and partially shaded conditions. Prog Photovolt Res Appl 23:201–214

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