Parameter extraction of solar photovoltaic modules using Manta Ray Foraging Optimization (MRFO) Algorithm

Hammed Olabisi Omotoso; Abdullrahman A. Al-Shamma'a; Hassan M. H. Farh; Abdullah M. Noman; Abdulaziz A. Alkuhayli; IEEE

doi:10.1109/CPE-POWERENG54966.2022.9880899

Conference proceeding

Parameter extraction of solar photovoltaic modules using Manta Ray Foraging Optimization (MRFO) Algorithm

Hammed Olabisi Omotoso, Abdullrahman A. Al-Shamma'a, Hassan M. H. Farh, Abdullah M. Noman, Abdulaziz A. Alkuhayli and IEEE

2022 IEEE 16TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS, AND POWER ENGINEERING (CPE-POWERENG)

Compatibility Power Electronics and Power Engineering

01/01/2022

DOI: https://doi.org/10.1109/CPE-POWERENG54966.2022.9880899

Abstract

Energy & Fuels

Engineering

Engineering, Electrical & Electronic

Science & Technology

Technology

In this study, an application of Manta Ray Foraging Optimization (MRFO) algorithm is demonstrated for PV parameter extraction. The MRFO is utilized to extract the parameters of both single diode and double diode model R.T.C. France silicon solar cell. The algorithm is easy to implement with less computational time. The MRFO optimizer is compared to Artificial Bee Optimization (ABO) and Flower Pollination Algorithms (FPA) algorithms. The results demonstrated the ability of MRFO for parameter extraction.

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Title: Parameter extraction of solar photovoltaic modules using Manta Ray Foraging Optimization (MRFO) Algorithm
Creators - without role: Hammed Olabisi Omotoso - King Saud University
Abdullrahman A. Al-Shamma'a - King Saud University
Hassan M. H. Farh - King Saud University
Abdullah M. Noman - King Saud University
Abdulaziz A. Alkuhayli - King Saud University
IEEE
Publication Details: 2022 IEEE 16TH INTERNATIONAL CONFERENCE ON COMPATIBILITY, POWER ELECTRONICS, AND POWER ENGINEERING (CPE-POWERENG)
Series: Compatibility Power Electronics and Power Engineering
Publisher: IEEE
Number of pages: 6
Grant note: 02 / National Plan for Science, Technology, and Innovation, King Abdulaziz City for Science and Technology, Kingdom of Saudi Arabia
Identifiers: 9916516108331
Academic Unit: Imam Mohammad Ibn Saud Islamic University (IMSIU); Prince Sattam Bin Abdulaziz University; King Saud University
Language: English
Resource Type: Conference proceeding