Maximum power point tracking of partially shading PV system using cuckoo search algorithm

A. Ibrahim, Raef Aboelsaud, S. Obukhov

Research output: Contribution to journalArticle

2 Citations (Scopus)

Abstract

This paper presents a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) tracking of photovoltaic (PV) under partial shading conditions (PSC). The conventional methods are failed to track the GMPP under PSC, which decrease the reliability of the power system and increase the system losses. The performance of the CS algorithm is compared with perturb and observe (P&O) algorithm for different cases of operations of PV panels under PSC. The CS algorithm is used in this work to control directly the duty cycle of the DC-DC converter without proportional integral derivative (PID) controller. The proposed CS model can track the GMPP very accurate with high efficiency in less time under different conditions as well as in PSC.

Original languageEnglish
Pages (from-to)1081-1089
Number of pages9
JournalInternational Journal of Power Electronics and Drive Systems
Volume10
Issue number2
DOIs
Publication statusPublished - 1 Jun 2019

Fingerprint

DC-DC converters
Derivatives
Controllers

Keywords

  • Cuckoo search
  • Global maximum power point
  • Maximum power point tracking
  • Partially shading condition

ASJC Scopus subject areas

  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

Cite this

Maximum power point tracking of partially shading PV system using cuckoo search algorithm. / Ibrahim, A.; Aboelsaud, Raef; Obukhov, S.

In: International Journal of Power Electronics and Drive Systems, Vol. 10, No. 2, 01.06.2019, p. 1081-1089.

Research output: Contribution to journalArticle

@article{18618a6e709b408e8f216aed30439daf,
title = "Maximum power point tracking of partially shading PV system using cuckoo search algorithm",
abstract = "This paper presents a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) tracking of photovoltaic (PV) under partial shading conditions (PSC). The conventional methods are failed to track the GMPP under PSC, which decrease the reliability of the power system and increase the system losses. The performance of the CS algorithm is compared with perturb and observe (P&O) algorithm for different cases of operations of PV panels under PSC. The CS algorithm is used in this work to control directly the duty cycle of the DC-DC converter without proportional integral derivative (PID) controller. The proposed CS model can track the GMPP very accurate with high efficiency in less time under different conditions as well as in PSC.",
keywords = "Cuckoo search, Global maximum power point, Maximum power point tracking, Partially shading condition",
author = "A. Ibrahim and Raef Aboelsaud and S. Obukhov",
year = "2019",
month = "6",
day = "1",
doi = "10.11591/ijpeds.v10.i2.pp1081-1089",
language = "English",
volume = "10",
pages = "1081--1089",
journal = "International Journal of Power Electronics and Drive Systems",
issn = "2088-8694",
publisher = "Institute of Advanced Engineering and Science (IAES)",
number = "2",

}

TY - JOUR

T1 - Maximum power point tracking of partially shading PV system using cuckoo search algorithm

AU - Ibrahim, A.

AU - Aboelsaud, Raef

AU - Obukhov, S.

PY - 2019/6/1

Y1 - 2019/6/1

N2 - This paper presents a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) tracking of photovoltaic (PV) under partial shading conditions (PSC). The conventional methods are failed to track the GMPP under PSC, which decrease the reliability of the power system and increase the system losses. The performance of the CS algorithm is compared with perturb and observe (P&O) algorithm for different cases of operations of PV panels under PSC. The CS algorithm is used in this work to control directly the duty cycle of the DC-DC converter without proportional integral derivative (PID) controller. The proposed CS model can track the GMPP very accurate with high efficiency in less time under different conditions as well as in PSC.

AB - This paper presents a cuckoo search (CS) algorithm for determining the global maximum power point (GMPP) tracking of photovoltaic (PV) under partial shading conditions (PSC). The conventional methods are failed to track the GMPP under PSC, which decrease the reliability of the power system and increase the system losses. The performance of the CS algorithm is compared with perturb and observe (P&O) algorithm for different cases of operations of PV panels under PSC. The CS algorithm is used in this work to control directly the duty cycle of the DC-DC converter without proportional integral derivative (PID) controller. The proposed CS model can track the GMPP very accurate with high efficiency in less time under different conditions as well as in PSC.

KW - Cuckoo search

KW - Global maximum power point

KW - Maximum power point tracking

KW - Partially shading condition

UR - http://www.scopus.com/inward/record.url?scp=85067443902&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85067443902&partnerID=8YFLogxK

U2 - 10.11591/ijpeds.v10.i2.pp1081-1089

DO - 10.11591/ijpeds.v10.i2.pp1081-1089

M3 - Article

VL - 10

SP - 1081

EP - 1089

JO - International Journal of Power Electronics and Drive Systems

JF - International Journal of Power Electronics and Drive Systems

SN - 2088-8694

IS - 2

ER -