PV array connected to the grid with the implementation of MPPT algorithms (INC, P&amp;O and FL Method)

Lagdani, Oumnia; Trihi, Mourad; Bossoufi, Badre

doi:10.11591/ijpeds.v10.i4.pp2084-2095

Cited by 8 publications

(8 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To solve this problem and achieve maximum power extraction from the PV panels, a dc-dc boost converter is utilized to raise the output voltage at a level that meets the utility grid requirements. Many MPP trackers are listed in the literature [23][24][25]. In this research, the incremental conductance (IC) MPPT is applied to control the duty cycle of the dc-dc boost converter switch so that the output voltage of the PV panels always follow the value corresponding to the maximum power.…”

Section: Maximum Power Point Tracker (Mppt)mentioning

confidence: 99%

A high performance grid connected PV system based on HERIC transformerless inverter

Hendawi

2020

IJEECS

View full text Add to dashboard Cite

<p>This paper presents an effective single phase grid connected photovoltaic PV system based on High Efficiency and Reliable Inverter Concept HERIC transformerless inverter. dc-dc boost converter controlled by incremental conductance IC maximum power point tracker MPPT is employed to achieve the maximum extraction power of the PV panels. Proportional integral PI controller controls the output voltage of the boost converter to meet the utility grid requirements. LCL filter is utilized to keep the inverter voltage very close to sinusoidal shape. Employing the HERIC transformerless inverter reduces significantly the ground leakage current beyond safe limits. Semiconductors losses are studied to investigate the efficiency of the proposed system at different insolation levels. Simulation results verify the high performance of the proposed system when considering leakage current and system efficiency.</p>

show abstract

Section: Maximum Power Point Tracker (Mppt)mentioning

confidence: 99%

A high performance grid connected PV system based on HERIC transformerless inverter

Hendawi

2020

IJEECS

View full text Add to dashboard Cite

show abstract

“…P&O algorithm is widely used in MPPT because of their simple structure and few required measurement parameters. The concept of the algorithm is to increase or decrease the PV array voltage, then the effect of this change on the PV generated power will be observed [39]. As a result, the controller will change the converter duty cycle using pulse width modulation to achieve maximum power transfer to the load.…”

Section: Perturb and Observe (Pando) Mppt Algorithm 231conventional P...mentioning

confidence: 99%

Photovoltaic array maximum power point tracking via modified perturbation and observation algorithm

Numan

Shakir

Mahmood

2020

IJPEDS

View full text Add to dashboard Cite

One drawback of PVs is their low efficiency. As the PVs have a unique maximum Power Point for a specified irradiation level, there must be an effective method for extracting maximum power from the PV module to raise the efficiency. Conventional Perturbation and Observation (P&O) is a simple algorithm for maximum power point tracking (MPPT) but it suffers from oscillation during steady state conditions and is deviated from the maximum power point during slow and rapid irradiation level change. This paper presents a modified P&O by adding variation in PV current as a third in addition to the voltage and power variation parameters. This new algorithm is capable of eliminating the MPPT deviation. To increase the perturbation speed, a double step is taken as the tracking is deviated from the MPP. The modified P&O algorithm is used to control the duty cycle of DC-DC buck converter. The simulation shows that the modified P&O is faster than the conventional. The power loss due to oscillation before attaining the steady state is less for modified P&O. For slow irradiation level change (ramp up 600 to 1000 and ramp down 1000-800) W/m2, the modified P&O shows less tracking diverge. As the irradiation level changes rapidly from 800 to 200 W/m2, it's shown that the modified algorithm attains the steady state faster than the conventional P&O and the average efficiency increased by 4.34%.

show abstract

“…However, these approaches have a Recently, artificial intelligence (AI) has become more and more popular in MPPT control systems for PV systems. MPPT controllers using fuzzy logic (FL) was proposed in [10]- [12]. Fuzzy logic can reduce the slower response time and high fluctuations in steady states around maximum power point (MPP) [13].…”

Section: Introductionmentioning

confidence: 99%

New improved MPPT based on artificial neural network and PI controller for photovoltaic applications

Idrissi

Assalaou

Elmahni

et al. 2022

IJPEDS

View full text Add to dashboard Cite

This paper details an maximum power point tracking (MPPT) approach based on artificial neural network (ANN) to track the maximum power produced by a PV panel. This approach is rapid and accurate for following the maximum power point (MPP) during changes in weather conditions such as solar irradiation and temperature. A PV system structure including an MPPT controller is studied, designed, and simulated in this work. The aim of this paper is to use the artificial neural network (ANN) technique to develop a MPPT controller for PV applications. To increase the performance of the ANN-MPPT controller, a proportional integral (PI) controller is also included. In addition, the performance of an ANN-based MPPT controller is also compared to the conventional perturb and observe (P&O) method. To analyze the results, simulations are performed by using MATLAB software.

show abstract

PV array connected to the grid with the implementation of MPPT algorithms (INC, P&O and FL Method)

Cited by 8 publications

References 9 publications

A high performance grid connected PV system based on HERIC transformerless inverter

A high performance grid connected PV system based on HERIC transformerless inverter

Photovoltaic array maximum power point tracking via modified perturbation and observation algorithm

New improved MPPT based on artificial neural network and PI controller for photovoltaic applications

Contact Info

Product

Resources

About