Cuckoo search algorithm and particle swarm optimization based maximum power point tracking techniques

10Citations
Citations of this article
31Readers
Mendeley users who have this article in their library.

Abstract

Increasing the efficiency of photovoltaic (PV) systems is a pressing issue, and several studies have focused on the maximum power point tracking (MPPT) techniques to extract the maximum PV output power. Many MPPT techniques have been discussed in the last decade, and optimization-based MPPT techniques have shown better performance than other MPPT techniques. In this study, two optimization techniques, the cuckoo search algorithm and particle swarm optimization with changing inertia weight techniques, are discussed and applied to a PV system to track the maximum power point. The MSX-60 PV module and boost DC-DC converter are used in this paper to simulate and model the MPPT system using MATLAB/Simulink to show which technique has the best performance under various solar irradiation scenarios. In addition, different structures of PV arrays such as series-parallel, bridge link, and total cross-tied PV structures are simulated to analyze their effect on the efficiency of MPPT processes.

References Powered by Scopus

Cuckoo search via Lévy flights

6505Citations
N/AReaders
Get full text

Towards Sustainable Energy: A Systematic Review of Renewable Energy Sources, Technologies, and Public Opinions

737Citations
N/AReaders
Get full text

Photovoltaic solar energy: Conceptual framework

572Citations
N/AReaders
Get full text

Cited by Powered by Scopus

A New Efficient Cuckoo Search MPPT Algorithm Based on a Super-Twisting Sliding Mode Controller for Partially Shaded Standalone Photovoltaic System

16Citations
N/AReaders
Get full text

A missing data imputation method based on salp swarm algorithm for diabetes disease

4Citations
N/AReaders
Get full text

An efficient scanning algorithm for photovoltaic systems under partial shading

4Citations
N/AReaders
Get full text

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Cite

CITATION STYLE

APA

Abdulaziz, S., Attlam, G., Zaki, G., & Nabil, E. (2022). Cuckoo search algorithm and particle swarm optimization based maximum power point tracking techniques. Indonesian Journal of Electrical Engineering and Computer Science, 26(2), 605–616. https://doi.org/10.11591/ijeecs.v26.i2.pp605-616

Readers' Seniority

Tooltip

PhD / Post grad / Masters / Doc 8

57%

Professor / Associate Prof. 2

14%

Lecturer / Post doc 2

14%

Researcher 2

14%

Readers' Discipline

Tooltip

Engineering 13

72%

Energy 2

11%

Social Sciences 2

11%

Computer Science 1

6%

Save time finding and organizing research with Mendeley

Sign up for free