Implementation of an Improved Incremental Conductance MPPT Control Based Boost Converter in Photovoltaic Applications

Necaibia, Salah; Kelaiaia, Mounia Samira; Labar, Hocine; Neçaïbia, Ammar

doi:10.1515/ijeeps-2017-0051

Cited by 13 publications

(5 citation statements)

References 19 publications

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“…In order to maintain a constant load voltage between the PV array and inverter, a DC-DC boost converter is employed (Necaibia et al, 2017). As the voltage produced by PV systems is typically insufficient to power loads directly, this is an essential component of PV applications.…”

Section: To DC Boost Converter Configurationmentioning

confidence: 99%

Fault detection in a distribution network using a combination of a discrete wavelet transform and a neural Network’s radial basis function algorithm to detect high-impedance faults

Gogula

Edward²

2023

Front. Energy Res.

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High Impedance Fault detection in a solar photovoltaic (PV) and wind generator integrated power system is described in this paper using discrete wavelet transform and a neural network with radial basis function (NNRBF). For this paper, the integration of solar photovoltaic and wind systems was modelled in a MATLAB/Simulink environment to create an IEEE 13-bus system. Microgrids (MG’s) are mostly powered by renewable energy. Uncertainty about renewables has shifted attention to ensuring a steady supply and long-term viability. It has been addressed in the paper whether or not a small-scale distant end source connection may be made at the terminal of a radial distribution feeder. Some typical power system problems compromise the reliability of the grid’s power supply. To solve this problem, this study suggests a criterion algorithm based on the neural network with radial basis function (NNRBF), and a defect detection method based on the discrete wavelet transform (DWT). The MATLAB/Simulink model of the system is then used to produce fault and travelling wave signals. The db4 wavelet is used to deconstruct the travelling wave signals into detail and approximate signals, which are then combined with the data from the two-terminal travelling wave localization approach for fault detection. After that, the optimal maximum coefficients of the wavelets are extracted and fed into the proposed radial basis function neural network (NNRBF). The results show that both the criterion algorithm and the fault detection algorithm are reliable in their assessments of whether or not faults exist in the power system, and that neither algorithm is particularly sensitive to variations in fault type, fault detection, fault initial angle, or transition resistance. After that, the optimal maximum coefficients of the wavelets are extracted and fed into the proposed radial basis function neural network (NNRBF). Overhead distribution system faults are simulated in Matlab/Simulink, and the technique is rigorously validated across a wide range of system situations. It has been shown through simulations that the proposed method can be relied upon to successfully and dependably protect high impedance fault (Hi-Z).

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Section: To DC Boost Converter Configurationmentioning

confidence: 99%

Fault detection in a distribution network using a combination of a discrete wavelet transform and a neural Network’s radial basis function algorithm to detect high-impedance faults

Gogula

Edward²

2023

Front. Energy Res.

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“…The single diode model is shown in Figure 4. The model has experimented and simulated a PV panel (Waree solar 40 Watt) with different parameters specified in Table 1 on MATLAB software with different irradiance and temperature [21,22]. The output current can be measured from Figure 4, By applying KCL, we can obtain:…”

Section: Single Diode Equivalent Circuit Of Pv Cell With Their Simulationmentioning

confidence: 99%

Experimental Analysis of Modified DC-P&O Technique with Arm Controller for a Stand-Alone 40 W PV System

et al. 2021

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The world is moving towards the generation of electricity with renewable energy sources (RES) due to the deterioration of the green environment and trying to replace non-renewable energy resources. The real-time results are achieved with the help of an arm controller, having good controller efficiency with the Waijung toolbox, compatible with MATLAB using STM32ST-link utility. In this paper, the authors are focused on areas such as easy to implement controller efficiency, and real-time solutions for modified direct-control perturbation & observation (DC-P&O) technique based on 32- bit ARM Cortex microcontroller (STM32F407VGT6) with embedded programming using Waijung blocksets, which offers very expected outcomes of the problem to make the stand-alone system efficient with fast-tracking. The observation setup is tested with a 40-watt photovoltaic (PV) panel with resistive load for achieving its stability. The designed algorithm enhances the efficiency of the controller by 84.48% for the real-time parameters of the PV panel at maximum power point (MPP) for a 57% duty ratio.

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“…To sustain the stable load voltage a DC-DC boost converter is used between the PV array and inverter [17]. It plays a key role in PV application because produced voltage from the PV system is not sufficient to meet the load requirement.…”

Section: Dc-dc Boost Converter Configurationmentioning

confidence: 99%

Reduced switches multilevel inverter integration with boost converters in photovoltaic system

2019

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Multilevel inverters (MLIs) are developed to meet medium voltage and high power applications in flexible power systems. The conventional configuration of multilevel inverter requires more switches and has limitation to its wide range application. This paper reports the performed work on 1-phase 7-level reduced switch multilevel inverter (RS MLI) in photovoltaic (PV) system. RS MLI configuration integration with PV system which uses less number of switching components for specified number of voltage output levels as compared to that of conventional multilevel inverter topology. To performed enhanced operation of PV cells and maximize the solar energy extraction an incremental conductance based maximum power point tracking scheme is used. To improve the quality of RS MLI output parameters mainly total harmonic distortion and switching losses, selected harmonic elimination based genetic algorithm method is consider for control the gating pulse of PV based RS MLI. This work is performed using MATLAB/SIMULINK software. Keywords Reduced switch multilevel inverter (RS MLI) • Maximum power point tracking (MPPT) • Incremental conductance (IC) • Genetic algorithm (GA) • Total harmonic distortion (THD)

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Implementation of an Improved Incremental Conductance MPPT Control Based Boost Converter in Photovoltaic Applications

Cited by 13 publications

References 19 publications

Fault detection in a distribution network using a combination of a discrete wavelet transform and a neural Network’s radial basis function algorithm to detect high-impedance faults

Fault detection in a distribution network using a combination of a discrete wavelet transform and a neural Network’s radial basis function algorithm to detect high-impedance faults

Experimental Analysis of Modified DC-P&O Technique with Arm Controller for a Stand-Alone 40 W PV System

Reduced switches multilevel inverter integration with boost converters in photovoltaic system

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