Determination of Global Maximum Power Point Tracking of PV under Partial Shading Using Cuckoo Search Algorithm; Applied Solar Energy; Vol. 5, iss. 6

Bibliografiske detaljer
Parent link:Applied Solar Energy
Vol. 5, iss. 6.— 2019.— [P. 367-375]
Hovedforfatter: Ibrahim Ahmed I. M. Ibrahim Mohamed
Institution som forfatter: Национальный исследовательский Томский политехнический университет Инженерная школа энергетики Отделение электроэнергетики и электротехники (ОЭЭ)
Andre forfattere: Obukhov S. G. Sergey Gennadievich, Aboelsaud Raef S. S. A. Siam Sayed Ahmed
Summary:Title screen
A maximum power point tracking (MPPT) is a method to extract the optimal operating point of the photovoltaic power generation system. Under partial shading conditions (PSC), the power voltage characteristics exhibit more than one local peaks and one global peak. This paper presents a cuckoo search (CS) algorithm to catch the global maximum power point of PV under PSC. The main contributions of this work are to minimize the tracking time and increase the tracking efficiency of the PV modules. Furthermore, this work aims to study the behavior performance of two MPPT techniques which have been designed for extracting the GMPP under the PSC. The developed algorithms are implemented in MATLAB/Simulink platform, and their performances are evaluated. In addition, a step up (boost) DC-DC converter is designed and interfaced with resistive load in the proposed model. The prominent outcomes show that the CS has the best performance compared to the Perturb and observe (P&O) techniques. In addition, for all test cases, the tracking efficiency of the CS is higher than 99.97% within 150-180 ms.
Режим доступа: по договору с организацией-держателем ресурса
Sprog:engelsk
Udgivet: 2019
Fag:
Online adgang:https://doi.org/10.3103/S0003701X19060045
Format: MixedMaterials Electronisk Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=661971

MARC

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200 1 |a Determination of Global Maximum Power Point Tracking of PV under Partial Shading Using Cuckoo Search Algorithm  |f I. M. Ibrahim Ahmed, S. G. Obukhov, S. S. A. Aboelsaud Raef 
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300 |a Title screen 
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330 |a A maximum power point tracking (MPPT) is a method to extract the optimal operating point of the photovoltaic power generation system. Under partial shading conditions (PSC), the power voltage characteristics exhibit more than one local peaks and one global peak. This paper presents a cuckoo search (CS) algorithm to catch the global maximum power point of PV under PSC. The main contributions of this work are to minimize the tracking time and increase the tracking efficiency of the PV modules. Furthermore, this work aims to study the behavior performance of two MPPT techniques which have been designed for extracting the GMPP under the PSC. The developed algorithms are implemented in MATLAB/Simulink platform, and their performances are evaluated. In addition, a step up (boost) DC-DC converter is designed and interfaced with resistive load in the proposed model. The prominent outcomes show that the CS has the best performance compared to the Perturb and observe (P&O) techniques. In addition, for all test cases, the tracking efficiency of the CS is higher than 99.97% within 150-180 ms. 
333 |a Режим доступа: по договору с организацией-держателем ресурса 
461 |t Applied Solar Energy 
463 |t Vol. 5, iss. 6  |v [P. 367-375]  |d 2019 
610 1 |a электронный ресурс 
610 1 |a труды учёных ТПУ 
610 1 |a partial shading 
610 1 |a tracking time 
610 1 |a cuckoo search technique 
610 1 |a DC-DC boost converter 
610 1 |a tracking efficiency 
610 1 |a отслеживание 
610 1 |a преобразователи 
700 0 |a Ibrahim Ahmed  |b I. M.  |c specialist in the field of electric power engineering  |c Research Engineer, Tomsk Polytechnic University  |f 1987-  |g Ibrahim Mohamed  |3 (RuTPU)RU\TPU\pers\44741 
701 1 |a Obukhov  |b S. G.  |c specialist in the field of electric power engineering  |c Associate Professor of Tomsk Polytechnic University, Candidate of technical sciences  |f 1963-  |g Sergey Gennadievich  |3 (RuTPU)RU\TPU\pers\37391  |9 20309 
701 0 |a Aboelsaud Raef  |b S. S. A.  |c specialist in the field of electric power engineering  |c Research Engineer, Tomsk Polytechnic University  |f 1987-  |g Siam Sayed Ahmed  |3 (RuTPU)RU\TPU\pers\45079 
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