An amended low-cost indirect MPPT strategy with a PID controller for boosting PV system efficiency

• This paper introduces an enhanced MPPT approach (IMP-IC) with a dynamic step-size adjustment mechanism for improved efficiency. • Employs current perturbation instead of the conventional voltage-based method, significantly boosting tracking performance. • Features low complexity, enabling easy implementation on a cost-effective Arduino Uno board. • Integrates a Proportional-Integral-Derivative (PID) controller through optimized C++ code, streamlining the system by eliminating the need for separate PID blocks. • Delivers exceptional static and dynamic tracking efficiencies of 99.40 % and 99.88 %, respectively. • Exhibits superior tracking performance with notably reduced power losses and fluctuations compared to IC, ZV, FL, and NAS-INC techniques. • Provides a highly efficient, cost-effective MPPT solution for photovoltaic systems. Operating a photovoltaic (PV) array at its optimum power point (MPP) despite fluctuating weather conditions is challenging. However, tracking this point enhances system efficiency and energy yields. Various maximum power point tracker (MPPT) techniques have been developed, differing in convergence speed, tracking efficiency, and implementation complexity. The Incremental Conductance (IC) strategy is popular due to its simplicity and reliability, but its fixed perturbation step size results in low tracking efficiency, MPP fluctuation, high power loss, and poor performance. This study proposes an improved IC (IMP-IC) method using indirect control based on a PID controller with an adjustable step size. The IMP-IC approach is simple, cost-effective, and implementable using a low-cost ATmega328 microcontroller on the Arduino Uno board. Simulations in the Proteus environment compared its performance to other MPPT techniques like conventional IC, zone voltage (ZV), fuzzy logic (FL), and novel adjustable step InC (NAS-INC). Results under various weather conditions, including rapid changes and EN50530 testing standards, indicate the IMP-IC approach outperforms existing methods. Specifically, it achieved an average tracking time of 0.12 seconds and tracking efficiencies of 99.40 % (static) and 99.88 % (dynamic). The IMP-IC method showed negligible power losses and fluctuations, a quick convergence speed and significantly lower implementation complexity. These attributes position the IMP-IC method as an effective solution for enhancing the reliability and performance of PV systems.

Authors

Institutions

Publication Details

Journal
Results in Engineering
Published
2024-11-24
DOI
https://doi.org/10.1016/j.rineng.2024.103526
Citations
14
Primary Topic
Photovoltaic System Optimization Techniques
Type
article
Field-Weighted Citation Impact
1.43
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

An amended low-cost indirect MPPT strategy with a PID controller for boosting PV system efficiency

Еl Mahdi Bouabdalli, Mouncеf Еl Marghichi, Abdеlkhalеk Chеllakhi, Said Еl Bеid
14 citations
Results in Engineering
Photovoltaic System Optimization Techniques
1.43
article

An amended low-cost indirect MPPT strategy with a PID controller for boosting PV system efficiency

Еl Mahdi Bouabdalli, Mouncеf Еl Marghichi, Abdеlkhalеk Chеllakhi, Said Еl Bеid
article en
14 citations

Abstract

• This paper introduces an enhanced MPPT approach (IMP-IC) with a dynamic step-size adjustment mechanism for improved efficiency. • Employs current perturbation instead of the conventional voltage-based method, significantly boosting tracking performance. • Features low complexity, enabling easy implementation on a cost-effective Arduino Uno board. • Integrates a Proportional-Integral-Derivative (PID) controller through optimized C++ code, streamlining the system by eliminating the need for separate PID blocks. • Delivers exceptional static and dynamic tracking efficiencies of 99.40 % and 99.88 %, respectively. • Exhibits superior tracking performance with notably reduced power losses and fluctuations compared to IC, ZV, FL, and NAS-INC techniques. • Provides a highly efficient, cost-effective MPPT solution for photovoltaic systems. Operating a photovoltaic (PV) array at its optimum power point (MPP) despite fluctuating weather conditions is challenging. However, tracking this point enhances system efficiency and energy yields. Various maximum power point tracker (MPPT) techniques have been developed, differing in convergence speed, tracking efficiency, and implementation complexity. The Incremental Conductance (IC) strategy is popular due to its simplicity and reliability, but its fixed perturbation step size results in low tracking efficiency, MPP fluctuation, high power loss, and poor performance. This study proposes an improved IC (IMP-IC) method using indirect control based on a PID controller with an adjustable step size. The IMP-IC approach is simple, cost-effective, and implementable using a low-cost ATmega328 microcontroller on the Arduino Uno board. Simulations in the Proteus environment compared its performance to other MPPT techniques like conventional IC, zone voltage (ZV), fuzzy logic (FL), and novel adjustable step InC (NAS-INC). Results under various weather conditions, including rapid changes and EN50530 testing standards, indicate the IMP-IC approach outperforms existing methods. Specifically, it achieved an average tracking time of 0.12 seconds and tracking efficiencies of 99.40 % (static) and 99.88 % (dynamic). The IMP-IC method showed negligible power losses and fluctuations, a quick convergence speed and significantly lower implementation complexity. These attributes position the IMP-IC method as an effective solution for enhancing the reliability and performance of PV systems.

Results in EngineeringVol. 24
Cadi Ayyad University (MA), Abdelmalek Essaâdi University (MA), Chouaib Doukkali University (MA), Sidi Mohamed Ben Abdellah University (MA)
Openalex Percentile: Top 19%
Photovoltaic System Optimization Techniques
1.43
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.