Hybrid MPPT Algorithm for PV Systems Under Partially Shaded Conditions Using a Stochastic Evolutionary Search and a Deterministic Hill Climbing Cover

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Hybrid MPPT Algorithm for PV Systems Under Partially Shaded Conditions Using a Stochastic Evolutionary Search and a Deterministic Hill Climbing

Power Electronics and Drives

Volume 2 (2017): Issue 2 (December 2017)

By: Karol Basiński, Bartłomiej Ufnalski and Lech M. Grzesiak

Open Access

|Dec 2017

Authors

Karol Basiński

basinskk@ee.pw.edu.pl

Warsaw University of Technology, Institute of Control and Industrial Electronics, Warsaw, Poland

Bartłomiej Ufnalski

bartlomiej.ufnalski@ee.pw.edu.pl

Warsaw University of Technology, Institute of Control and Industrial Electronics, Warsaw, Poland

Lech M. Grzesiak

lech.grzesiak@ee.pw.edu.pl

Warsaw University of Technology, Institute of Control and Industrial Electronics, Warsaw, Poland

DOI: https://doi.org/10.5277/ped170212 | Journal eISSN: 2543-4292 | Journal ISSN: 2451-0262

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Language: English

Page range: 49 - 59

Submitted on: Oct 16, 2017

Accepted on: Dec 3, 2017

Published on: Dec 29, 2017

Published by: Wroclaw University of Science and Technology

In partnership with: Paradigm Publishing Services

Publication frequency: 1 issue per year

Keywords:

maximum power point tracking,

photovoltaic system,

hybrid part–stochastic part–deterministic search rule,

particle swarm optimization,

partial shading,

Related subjects:

Computer sciences,

Artificial intelligence,

Electrical engineering,

© 2017 Karol Basiński, Bartłomiej Ufnalski, Lech M. Grzesiak, published by Wroclaw University of Science and Technology
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.

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