Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions

Peter Anuoluwapo Gbadega; Olufunke Abolaji Balogun; Kayode Timothy Akindeji

doi:10.1109/SAUPEC65723.2025.10944400

Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions

Peter Anuoluwapo Gbadega
, Olufunke Abolaji Balogun
, Kayode Timothy Akindeji

Electrical and Electronic Engineering Science

University of Johannesburg
Durban University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Abstract

This research focuses on a comparative assessment of various Maximum Power Point Tracking (MPPT) techniques for solar photovoltaic (PV) systems under uniform insolation and partial shading conditions. iSolar PV technology is a key alternative to fossil fuels due to its non-polluting operation. However, conventional MPPT methods fail to track the global maximum power point under partial shading, where the PV curve presents multiple local maxima. To address this, the study evaluates four MPPT algorithms: Perturb and Observe (P&O), Incremental Conductance (IC), Particle Swarm Optimization (PSO), and Fuzzy Logic Control. These techniques were simulated in MATLAB/Simulink to assess their performance under varying environmental conditions. Results show that the Fuzzy Logic algorithm outperforms the others, achieving 97.2% tracking efficiency and delivering 350W of power from a 365W panel at 1000W/m² irradiance. In contrast, PSO, IC, and P&O achieved 255W, 195W, and 130W, respectively, with lower tracking efficiencies. The Fuzzy Logic method alsoi exhibited faster response times and fewer oscillations. These findings demonstrate the superiority of Fuzzy Logic Control, making it the most suitable MPPT technique for solar PV systems under partial shading.

Original language	English
Title of host publication	Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9798331535162
DOIs	https://doi.org/10.1109/SAUPEC65723.2025.10944400
Publication status	Published - 2025
Event	33rd Southern African Universities Power Engineering Conference, SAUPEC 2025 - Pretoria, South Africa Duration: 29 Jan 2025 → 30 Jan 2025

Publication series

Name	Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025

Conference

Conference	33rd Southern African Universities Power Engineering Conference, SAUPEC 2025
Country/Territory	South Africa
City	Pretoria
Period	29/01/25 → 30/01/25

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy

Keywords

MATLAB/Simulink environment
Maximum power point tracking
Partial shading conditions
Solar PV systems
Tracking efficiency

ASJC Scopus subject areas

Artificial Intelligence
Energy Engineering and Power Technology
Renewable Energy, Sustainability and the Environment
Electrical and Electronic Engineering
Modeling and Simulation

Access to Document

10.1109/SAUPEC65723.2025.10944400

Cite this

Gbadega, P. A., Balogun, O. A., & Akindeji, K. T. (2025). Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions. In Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025 (Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SAUPEC65723.2025.10944400

Gbadega, Peter Anuoluwapo ; Balogun, Olufunke Abolaji ; Akindeji, Kayode Timothy. / Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions. Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025).

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abstract = "This research focuses on a comparative assessment of various Maximum Power Point Tracking (MPPT) techniques for solar photovoltaic (PV) systems under uniform insolation and partial shading conditions. iSolar PV technology is a key alternative to fossil fuels due to its non-polluting operation. However, conventional MPPT methods fail to track the global maximum power point under partial shading, where the PV curve presents multiple local maxima. To address this, the study evaluates four MPPT algorithms: Perturb and Observe (P\&O), Incremental Conductance (IC), Particle Swarm Optimization (PSO), and Fuzzy Logic Control. These techniques were simulated in MATLAB/Simulink to assess their performance under varying environmental conditions. Results show that the Fuzzy Logic algorithm outperforms the others, achieving 97.2\% tracking efficiency and delivering 350W of power from a 365W panel at 1000W/m2 irradiance. In contrast, PSO, IC, and P\&O achieved 255W, 195W, and 130W, respectively, with lower tracking efficiencies. The Fuzzy Logic method alsoi exhibited faster response times and fewer oscillations. These findings demonstrate the superiority of Fuzzy Logic Control, making it the most suitable MPPT technique for solar PV systems under partial shading.",

keywords = "MATLAB/Simulink environment, Maximum power point tracking, Partial shading conditions, Solar PV systems, Tracking efficiency",

author = "Gbadega, \{Peter Anuoluwapo\} and Balogun, \{Olufunke Abolaji\} and Akindeji, \{Kayode Timothy\}",

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language = "English",

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Gbadega, PA, Balogun, OA & Akindeji, KT 2025, Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions. in Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025. Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025, Institute of Electrical and Electronics Engineers Inc., 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025, Pretoria, South Africa, 29/01/25. https://doi.org/10.1109/SAUPEC65723.2025.10944400

Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions. / Gbadega, Peter Anuoluwapo; Balogun, Olufunke Abolaji; Akindeji, Kayode Timothy.
Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025. Institute of Electrical and Electronics Engineers Inc., 2025. (Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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T1 - Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions

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AU - Balogun, Olufunke Abolaji

AU - Akindeji, Kayode Timothy

PY - 2025

Y1 - 2025

N2 - This research focuses on a comparative assessment of various Maximum Power Point Tracking (MPPT) techniques for solar photovoltaic (PV) systems under uniform insolation and partial shading conditions. iSolar PV technology is a key alternative to fossil fuels due to its non-polluting operation. However, conventional MPPT methods fail to track the global maximum power point under partial shading, where the PV curve presents multiple local maxima. To address this, the study evaluates four MPPT algorithms: Perturb and Observe (P&O), Incremental Conductance (IC), Particle Swarm Optimization (PSO), and Fuzzy Logic Control. These techniques were simulated in MATLAB/Simulink to assess their performance under varying environmental conditions. Results show that the Fuzzy Logic algorithm outperforms the others, achieving 97.2% tracking efficiency and delivering 350W of power from a 365W panel at 1000W/m2 irradiance. In contrast, PSO, IC, and P&O achieved 255W, 195W, and 130W, respectively, with lower tracking efficiencies. The Fuzzy Logic method alsoi exhibited faster response times and fewer oscillations. These findings demonstrate the superiority of Fuzzy Logic Control, making it the most suitable MPPT technique for solar PV systems under partial shading.

AB - This research focuses on a comparative assessment of various Maximum Power Point Tracking (MPPT) techniques for solar photovoltaic (PV) systems under uniform insolation and partial shading conditions. iSolar PV technology is a key alternative to fossil fuels due to its non-polluting operation. However, conventional MPPT methods fail to track the global maximum power point under partial shading, where the PV curve presents multiple local maxima. To address this, the study evaluates four MPPT algorithms: Perturb and Observe (P&O), Incremental Conductance (IC), Particle Swarm Optimization (PSO), and Fuzzy Logic Control. These techniques were simulated in MATLAB/Simulink to assess their performance under varying environmental conditions. Results show that the Fuzzy Logic algorithm outperforms the others, achieving 97.2% tracking efficiency and delivering 350W of power from a 365W panel at 1000W/m2 irradiance. In contrast, PSO, IC, and P&O achieved 255W, 195W, and 130W, respectively, with lower tracking efficiencies. The Fuzzy Logic method alsoi exhibited faster response times and fewer oscillations. These findings demonstrate the superiority of Fuzzy Logic Control, making it the most suitable MPPT technique for solar PV systems under partial shading.

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KW - Solar PV systems

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DO - 10.1109/SAUPEC65723.2025.10944400

M3 - Conference contribution

AN - SCOPUS:105002684353

T3 - Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025

BT - Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025

PB - Institute of Electrical and Electronics Engineers Inc.

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Gbadega PA, Balogun OA, Akindeji KT. Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions. In Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025. Institute of Electrical and Electronics Engineers Inc. 2025. (Proceedings of the 33rd Southern African Universities Power Engineering Conference, SAUPEC 2025). doi: 10.1109/SAUPEC65723.2025.10944400

Comparative Assessment of MPPT Techniques for Solar PV Systems Under Uniform Insolation and Partial Shading Conditions

Abstract

Publication series

Conference

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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