Application of Cuckoo Search Algorithm for Global Maximum Power Point Tracking of PV under Partial Shading

Bibliographic Details
Parent link:Radio Electronics, Electrical and Power Engineering (REEPE): 1st IEEE 2019 International Youth Conference, Russia, Moscow, March 14-15, 2019. [6 p.].— , 2019
Main Author: Ibrahim Ahmed I. M. Ibrahim Mohamed
Corporate Author: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Отделение электроэнергетики и электротехники (ОЭЭ)
Other Authors: Aboelsaud Raef S. S. A. Siam Sayed Ahmed, Obukhov S. G. Sergey Gennadievich
Summary:Title screen
In this study, introduces a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) of photovoltaic (PV). The traditional methods are failed to track the global maximum power point under partially shaded conditions (PSC), which decrease the reliability of the power system and increase the system losses. The research results of the CS algorithm and perturb and observe (P&O) algorithm are investigated for different cases of operations of PV panels under PSC. The proposed CS model can track the GMPP very accurate with high efficiency in less time under severe weather conditions as well as in PSC.
Режим доступа: по договору с организацией-держателем ресурса
Published: 2019
Subjects:
Online Access:https://doi.org/10.1109/REEPE.2019.8708788
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=660505