Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Motahhir, Saad; Ghzizal, Abdelaziz El; Sebti, Souad; Derouich, Aziz

doi:10.1155/2018/3286479

Cited by 137 publications

(59 citation statements)

References 26 publications

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“…In order to validate the effectiveness as well as the accuracy of the proposed real-time virtual instrumentation, the I-V and P-V characteristics of the PV panel which are obtained by the proposed solution and those obtained through the multimeters will be compared with the I-V and P-V characteristics which are, in turn, obtained by the PV panel model under PSIM. This model is already validated in Motahhir et al (2017), Banu and Istrate (2012), Villalva et al (2009), and the results have shown that the I-V and P-V characteristics given by the PV Panel PSIM model are in accordance with those obtained by the experimental test. This model is presented in Fig.…”

Section: Pv Panel Modelmentioning

confidence: 55%

“…On the other hand, to show the effectiveness of our system, this work presents a comparison between the I-V and P-V characteristics of the PV panel which are obtained by the proposed solution and those obtained by traditional instrumentation through a multimeters. It should be mentioned that a PSIM model of PV panel is used as a reference, and this model is already validated in Motahhir et al (2017), Banu and Istrate (2012), Villalva et al (2009).…”

Section: Introductionmentioning

confidence: 99%

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Low-cost virtual instrumentation of PV panel characteristics using Excel and Arduino in comparison with traditional instrumentation

Hammoumi¹,

Motahhir²,

Chalh³

et al. 2018

Renewables

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This paper presents a low-cost solution of virtual instrumentation to provide a new technique for real-time instrumentation of the PV panel characteristics such as voltage, current and power. The system design is based on a low-cost Arduino acquisition board. The acquisition is made through a low-cost current and voltage sensors, and data are presented in Excel by using the PLX-DAQ data acquisition Excel Macro, which allows communication between the ATMega328 microcontroller of an Arduino UNO board and the computer by UART bus. Hence, the I-V and P-V characteristics, which processed under real-time conditions, can be obtained directly and plotted on an Excel spreadsheet without needing to reprogram the microcontroller. A comparison between this low-cost virtual instrumentation and the traditional instrumentation is drawn in this work. It is found that our solution presents several benefits compared to the traditional solution such as the data can be presented in graphical form in real time. Thus, several experimental tests to confirm the effectiveness of the developed virtual instrumentation system are presented in this study.

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Section: Pv Panel Modelmentioning

confidence: 55%

Section: Introductionmentioning

confidence: 99%

Low-cost virtual instrumentation of PV panel characteristics using Excel and Arduino in comparison with traditional instrumentation

Hammoumi¹,

Motahhir²,

Chalh³

et al. 2018

Renewables

Self Cite

View full text Add to dashboard Cite

show abstract

“…This duty cycle is calculated by the MPPT algorithm and varies between 0 and 1. The figure below shows the circuit of the DC-DC boost converter [8] (Fig. 14).…”

Section: The Boost Converter Construction and Parametersmentioning

confidence: 99%

“…Therefore, the MPPT controller is used to track the MPP. In this context, a large number of MPPT methods have been developed in the literature, such as: Perturb & Observe (P&O) [5,6], incremental conductance (INC) [7][8][9] [10], fractional short-circuit current [5], fuzzy logic control [11], and neural network [12], etc.…”

Section: Introductionmentioning

confidence: 99%

Study of a Low-Cost PV Emulator for Testing MPPT Algorithm Under Fast Irradiation and Temperature Change

Chalh

Motahhir

Hammoumi

et al. 2018

Technol Econ Smart Grids Sustain Energy

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This paper presents a study of a low-cost photovoltaic (PV) emulator to test the real implementation of maximum power point tracking (MPPT) algorithm. This PV emulator is composed of a variable DC supply in series with a variable resistor; it is based on the maximum power transfer theorem in order to provide a curve that exhibits a peak which can be tracked by an MPPT algorithm. Moreover, this emulator can be used to test the performance of the MPPT algorithm under fast variation of the solar irradiance and temperature. For this reason, the P&O MPPT algorithm with a boost DC-DC converter is used in order to validate the functionality of the PV emulator. Finally, the experimental results show that our PV emulator can provide a simple, efficient and low-cost way for users (researchers, engineers, students, etc.) to test and validate their MPPT algorithms.

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“…The latter has corrected partially the oscillation problem. Since this technique is based on the instant comparison of the conductance I/V with the increment of the conductance ΔI/ΔV, the maximum power point is reached only if both quantities are equal [10,11]. Thus, for low irradiance variations, it is hard to determine the exact location of this MPP which causes some power losses and reduces the overall efficiency of the PV system.…”

Section: Introductionmentioning

confidence: 99%

Sliding Mode Controllers for Standalone PV Systems: Modeling and Approach of Control

Chaibi

Salhi

El-jouni

2019

International Journal of Photoenergy

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This paper presents a single-phase standalone photovoltaic (PV) system with two stages of converters. The aim of this work is to track the maximum power point (MPP) so as to transfer the maximum available power to the load and to control the output current in order to feed the AC load by a sinusoidal current. These goals are attained by using the sliding mode to design control laws in order to command the boost DC-DC and the inverter switches. Thus, a maximum power point tracking (MPPT) and an output current controller based on the sliding mode are proposed. The innovative aspect of this work is to propose a standalone PV system with the controllers based only on the sliding mode control approach. The proposed system is modeled and simulated under MATLAB Simulink under fast variations of irradiance and temperature. Then, the obtained results using the suggested MPPT are compared to those using the incremental conductance (IC) method. These results demonstrate the superiority of the sliding mode MPPT in terms of the tracking speed, the efficiency, and the time of response. Moreover, the current controller provides an output current of high quality with a THD of 3.47%. Furthermore, for accurate results, these controllers are evaluated under the fluctuations of two daily climatic profiles (sunny and cloudy) and compared those of the IC method. The results illustrate that the sliding mode MPPT has the potential of generating more electrical energy than the IC MPPT with benefits of up to 13.02% for the sunny daily profile and 27.57% for the cloudy one.

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Modeling of Photovoltaic System with Modified Incremental Conductance Algorithm for Fast Changes of Irradiance

Cited by 137 publications

References 26 publications

Low-cost virtual instrumentation of PV panel characteristics using Excel and Arduino in comparison with traditional instrumentation

Low-cost virtual instrumentation of PV panel characteristics using Excel and Arduino in comparison with traditional instrumentation

Study of a Low-Cost PV Emulator for Testing MPPT Algorithm Under Fast Irradiation and Temperature Change

Sliding Mode Controllers for Standalone PV Systems: Modeling and Approach of Control

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