Optimized Nonlinear PID Control for Maximum Power Point Tracking in PV Systems Using Particle Swarm Optimization

This paper proposes a high-performing, hybrid method for Maximum Power Point Tracking (MPPT) in photovoltaic (PV) systems. The approach is based on an intelligent Nonlinear Discrete Proportional–Integral–Derivative (N-DPID) controller with the Perturb and Observe (P&O) method. The feedback gains derived are optimized by a metaheuristic algorithm called Particle Swarm Optimization (PSO). The proposed methods appear to present adequate solutions to overcome the drawbacks of existing methods despite various weather conditions considered in the analysis, providing a robust solution for dynamic environmental conditions. The results showed better performance and accuracy compared to those encountered in the literature. We also recall that this technique provides a systematic design procedure in the search for the MPPT in photovoltaic (PV) systems that has not yet been documented in the literature to the best of our knowledge.

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Publication Details

Journal
Mathematical and Computational Applications
Published
2024-10-02
DOI
https://doi.org/10.3390/mca29050088
Citations
5
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
0.51
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article

Optimized Nonlinear PID Control for Maximum Power Point Tracking in PV Systems Using Particle Swarm Optimization

Alain Soup Tewa Kammogne, Ahmad Taher Azar, Ibrahim A. Hameed, Saim Ahmed et al.
5 citations
Mathematical and Computational Applications
Photovoltaic System Optimization Techniques
0.51
article

Optimized Nonlinear PID Control for Maximum Power Point Tracking in PV Systems Using Particle Swarm Optimization

Alain Soup Tewa Kammogne, Ahmad Taher Azar, Ibrahim A. Hameed, Saim Ahmed, M. Siewe Siewe, Maeva Cybelle Zoleko Zambou
article en
5 citations

Abstract

This paper proposes a high-performing, hybrid method for Maximum Power Point Tracking (MPPT) in photovoltaic (PV) systems. The approach is based on an intelligent Nonlinear Discrete Proportional–Integral–Derivative (N-DPID) controller with the Perturb and Observe (P&O) method. The feedback gains derived are optimized by a metaheuristic algorithm called Particle Swarm Optimization (PSO). The proposed methods appear to present adequate solutions to overcome the drawbacks of existing methods despite various weather conditions considered in the analysis, providing a robust solution for dynamic environmental conditions. The results showed better performance and accuracy compared to those encountered in the literature. We also recall that this technique provides a systematic design procedure in the search for the MPPT in photovoltaic (PV) systems that has not yet been documented in the literature to the best of our knowledge.

Mathematical and Computational ApplicationsVol. 29(5)
Université de Yaoundé I (CM), Prince Sultan University (SA), Université de Dschang (CM), Norwegian University of Science and Technology (NO)
Openalex Percentile: Top 43%
Photovoltaic System Optimization Techniques
0.51
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Optimized Nonlinear PID Control for Maximum Power Point Tracking in PV Systems Using Particle Swarm Optimization — Alain Soup Tewa Kammogne, Ahmad Taher Azar, et al. · Mathematical and Computational Applications (2024) | TGRS Research Map | TGRS