Development of a low-cost PV system using an improved INC algorithm and a PV panel Proteus model

Motahhir, Saad; Chalh, Abdelilah; Ghzizal, Abdelaziz El; Derouich, Aziz

doi:10.1016/j.jclepro.2018.08.246

Cited by 83 publications

(26 citation statements)

References 44 publications

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“…The simpler control structure (ie, no requirement for a voltage controller) is the obvious reason why numerous researchers preferred to implement their proposed MPPT algorithms with the direct method. [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] This is in contrast to the indirect control, in which a voltage controller is mandatory. Despite this fact, the indirect method is very popular, as evident by the number of researchers that have opted to use it.…”

Section: Introductionmentioning

confidence: 99%

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Assessment of maximum power point trackers performance using direct and indirect control methods

Kermadi

Mekhilef

Salam

et al. 2020

Int Trans Electr Energ Syst

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The direct and indirect control methods are commonly used for maximum power point tracker (MPPT) of photovoltaic (PV) systems. Due to the absence of the literature that assess their performance in a comprehensive way, this work attempts to analyze the effectiveness of both control methods for the perturb and observe (P&O) MPPT algorithm. The MATLAB/Simulink simulation is verified experimentally using a PV array simulator and the dSPACE DS1104 DSP board driving a buck-boost converter. The results show that the indirect method exhibits lower steady-state oscillation and is less sensitive to rapid irradiance change and load variations. It increases the steady-state efficiency by 1.6%. Furthermore, under irradiance and load step changes, the transient efficiency increases by 29% and 30%, respectively. Based on these findings, it is envisaged that the indirect method is more suitable to be used as the controller in conjunction with the MPPT algorithm. K E Y W O R D S direct control, indirect control, maximum power point tracking, perturb and observe, photovoltaic system LIST OF SYMBOLS AND ABBREVIATIONS: Φ D , duty cycle perturbation; Φ V , voltage perturbation; D, duty cycle; D MPP , optimum duty cycle; D ref , reference duty cycle; G, irradiance; PV, photovoltaic; P&O, perturb and observe; P act , actual measured output power; P act , actual measured voltage; P pre , previous value for power; MPPT, maximum power point tracking; MPP, maximum power point; V PV , photovoltaic voltage; V ref , reference voltage; V pre , previous value for voltage.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Assessment of maximum power point trackers performance using direct and indirect control methods

Kermadi

Mekhilef

Salam

et al. 2020

Int Trans Electr Energ Syst

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“…Furthermore, thanks to its simplicity of work and the large libraries of various electronic components that provide, Proteus software is one of the most frequently used simulation software. The Arduino UNO board with the microcontroller AT Mega328 is one of among components that can be used flexibly in the Proteus environment [17].…”

Section: Load Variationmentioning

confidence: 99%

Implementation of a Novel MPPT Tactic for PV System Applications on MATLAB/Simulink and Proteus-Based Arduino Board Environments

Chellakhi

Beid

Abouelmahjoub

2021

International Journal of Photoenergy

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This paper is aimed at harvesting the photovoltaic systems extracting power under difficult irradiance and load conditions, by proposing a novel maximum power point tracking (MPPT). This proposed MPPT tactic has been examined under various climatic and load conditions using two powerful and accurate simulation environments for PV systems, MATLAB/Simulink and Proteus. The first implementation using the MATLAB/Simulink software was carried out to examine the performance of the novel MPPT tactic under sudden insolation and load change, where the second implementation using the Proteus software was carried out in order to prove that the novel MPPT tactic can be easily implemented using low-cost components, Arduino board, and LCD display. The simulation results prove that the novel MPPT tactic has a high convergence speed to locate the MPP, especially at fast solar irradiation and load variation with zero oscillation under steady-state operation, which takes less than 9.6 milliseconds (ms) under the MATLAB/Simulink software and 0.24 microseconds (μs) under Proteus environment. That means it is about six times faster than P&O and five times faster than INC MPPT methods, and its tracking efficiency is between 99.40% and 99.86%. Furthermore, the novel MPPT tactic shows the best tracking accuracy and better ability to mitigate power losses under overall simulation scenarios compared with other traditional MPPT methods.

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“…While recently, some works have addressed the simulation of PV panel in Proteus as the first attempts in this subject. A single-diode Proteus model of PV module has been proposed and validated in our previous work [17][18][19][20]. Authors in [21] have been proposed a two-diode model of PV panel in Proteus.…”

Section: Introductionmentioning

confidence: 99%

Trusted Simulation Using Proteus Model for a PV System: Test Case of an Improved HC MPPT Algorithm

Chalh¹,

Hammoumi²,

Motahhir³

et al. 2020

Energies

Self Cite

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The real implementation of the maximum power point tracking (MPPT) controllers for the photovoltaic (PV) systems is still a big challenge for researchers working in this field. Often, they use simulation tools to assess the performance of their MPPT algorithms before actual implementation. In this context, this paper aims to propose a trusted simulation of a PV system designed under Proteus software. The proposed PV simulator can be used to verify and evaluate the performance of MPPT algorithms with a closer approximation to the real implementation. The main advantage of this model that it contains a real microcontroller, as can be found in reality, so that same code for the MPPT algorithm used in the simulation will be used in real implementation. In contrast, when using (Powersim Software) PSIM or Matlab/Simulink, the code of the algorithm must be rewritten once the real experiment begins, because these tools don't provide a microcontroller or an electronic board in which our algorithm can be implemented and tested in the same way as the real experiment. After this section, a modified Hill-Climbing (HC) algorithm is introduced. The proposed algorithm can avoid the drift problem posed by conventional HC under a fast variation in insolation. The simulation results show that this method presents good performance in terms of efficiency (99.21%) and response time (10 ms), which improved by 1.2% and 70 ms respectively compared to the conventional HC algorithm.

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Development of a low-cost PV system using an improved INC algorithm and a PV panel Proteus model

Cited by 83 publications

References 44 publications

Assessment of maximum power point trackers performance using direct and indirect control methods

Assessment of maximum power point trackers performance using direct and indirect control methods

Implementation of a Novel MPPT Tactic for PV System Applications on MATLAB/Simulink and Proteus-Based Arduino Board Environments

Trusted Simulation Using Proteus Model for a PV System: Test Case of an Improved HC MPPT Algorithm

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