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 implemen...

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Vydáno v:Results in engineering Ročník 24; s. 103526
Hlavní autoři: Chellakhi, Abdelkhalek, El Beid, Said, Marghichi, Mouncef El, Bouabdalli, El Mahdi
Médium: Journal Article
Jazyk:angličtina
Vydáno: Elsevier B.V 01.12.2024
Elsevier
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ISSN:2590-1230, 2590-1230
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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.
AbstractList 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.
•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.
ArticleNumber 103526
Author Marghichi, Mouncef El
Bouabdalli, El Mahdi
Chellakhi, Abdelkhalek
El Beid, Said
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Keywords Adaptable step size
AT Mega328 Microcontroller of Arduino Uno board
Proteus software
Improved Increment of conductance (IMP-IC) MPPT
Drift avoidance
Photovoltaic system
Language English
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Snippet •This paper introduces an enhanced MPPT approach (IMP-IC) with a dynamic step-size adjustment mechanism for improved efficiency.•Employs current perturbation...
Operating a photovoltaic (PV) array at its optimum power point (MPP) despite fluctuating weather conditions is challenging. However, tracking this point...
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StartPage 103526
SubjectTerms Adaptable step size
AT Mega328 Microcontroller of Arduino Uno board
Drift avoidance
Improved Increment of conductance (IMP-IC) MPPT
Photovoltaic system
Proteus software
Title An amended low-cost indirect MPPT strategy with a PID controller for boosting PV system efficiency
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