scholarly journals A Comprehensive Review of DC–DC Converter Topologies and Modulation Strategies with Recent Advances in Solar Photovoltaic Systems

Electronics ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 31 ◽  
Author(s):  
Kummara Venkat Guru Raghavendra ◽  
Kamran Zeb ◽  
Anand Muthusamy ◽  
T. N. V. Krishna ◽  
S. V. S. V Prabhudeva Kumar ◽  
...  
Keyword(s):  
Renewable Energy Sources ◽  
Energy Conversion Efficiency ◽  
Maximum Power ◽  
Solar Pv ◽  
Comparative Performance ◽  
Pv Systems ◽  
Point Tracking ◽  
Recent Advances ◽  
Converter Topologies ◽  
Power Point

Renewable Energy Sources (RES) showed enormous growth in the last few years. In comparison with the other RES, solar power has become the most feasible source because of its unique properties such as clean, noiseless, eco-friendly nature, etc. During the extraction of electric power, the DC–DC converters were given the prominent interest because of their extensive use in various applications. Photovoltaic (PV) systems generally suffer from less energy conversion efficiency along with improper stability and intermittent properties. Hence, there is a necessity of the Maximum power point tracking (MPPT) algorithm to ensure the maximum power available that can be harnessed from the solar PV. In this paper, the most important features of the DC/DC converters along with the MPPT techniques are reviewed and analyzed. A detailed comprehensive analysis is made on different converter topologies of both non-isolated and isolated DC/DC converters. Then, the modulation strategies, comparative performance evaluation are addressed systematically. At the end, recent advances and future trends are described briefly and considered for the next-generation converter’s design and applications. This review work will provide a useful structure and reference point on the DC/DC converters for researchers and designers working in the field of solar PV applications.

scholarly journals A Novel Current Sensor less MPPT based Approach for PV Applications Using PSO Technique

2021 ◽  
Vol 2070 (1) ◽  
pp. 012123
Author(s):  
Vinay Kumar ◽  
T Naveen Kumar ◽  
K T Prajwal
Keyword(s):  
Solar Energy ◽  
Renewable Energy Sources ◽  
Maximum Power ◽  
Current Sensor ◽  
Pv System ◽  
Pv Systems ◽  
Power Resources ◽  
Point Tracking ◽  
Power Point ◽  
The One

Abstract As an increased demand in power resources and to reduce global warming, Renewable Energy Sources (RES) are preferred over the conventional sources. Among various available RES, solar energy is the effective and efficient one. The solar energy is also clean and free energy. The use of Maximum Power Point Tracking (MPPT) is the one of the techniques to get maximized output power from the Photo Voltaic (PV) system. The proposed method uses a voltage sensor by eliminating the need of current sensor based on selected technique using Partial Swarm Optimization (PSO) technique interfaced with DC-DC boost converter. PSO technique is one of the methods which has high conflux speed, to precisely track the maximum power. The result of the planned methodology is studied with the assistance of an acceptable simulation applied in MATLAB/Simulink setting for experiment to valid of microcontroller which is employed. The result obtained from the simulations studies showed that current sensor less methodology using PSO technique can extract the maximize power from PV systems.

scholarly journals Evaluation of Power Quality Issues in grid Connected PV Systems

2016 ◽  
Vol 6 (4) ◽  
pp. 1412 ◽  
Author(s):  
Gunjan Varshney ◽  
D S Chauhan ◽  
M P Dave
Keyword(s):  
Power Quality ◽  
Maximum Power Point Tracking ◽  
Maximum Power ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Quality Issues ◽  
Power Point

<p>This paper deals with the evaluation of power quality issues in grid connected PV systems. This paper also presents  complete simulation, modeling and control of three phase grid connected solar PV module with Maximum Power Point Tracking. Perturb and Observe (P&amp;O) method has been used for Maximum Power Point Tracking. In the proposed model DC bus voltage control , harmonic mitigation and power factor control are discussed as power quality issues. The simulation results are shown in the graphical waveforms and simulation is performed in MATLAB using SIMULINK environment and PSB toolboxes. <strong> </strong></p>

scholarly journals Enhancing Global Maximum Power Point of Solar Photovoltaic Strings under Partial Shading Conditions Using Chimp Optimization Algorithm

Energies ◽  
2021 ◽  
Vol 14 (14) ◽  
pp. 4086
Author(s):  
Timmidi Nagadurga ◽  
Pasumarthi Venkata Ramana Lakshmi Narasimham ◽  
V. S. Vakula ◽  
Ramesh Devarapalli ◽  
Fausto Pedro García Márquez
Keyword(s):  
Optimization Algorithm ◽  
Maximum Power ◽  
Solar Photovoltaic ◽  
Solar Pv ◽  
Maximum Power Point ◽  
Partial Shading ◽  
Pv Systems ◽  
Point Tracking ◽  
Power Point Tracking ◽  
Power Point

This paper proposes the application of a metaheuristic algorithm inspired by the social behavior of chimps in nature, called Chimp Optimization Algorithm (ChOA), for the maximum power point tracking of solar photovoltaic (PV) strings. In this algorithm, the chimps hunting process is mathematically articulated, and new mechanisms are designed to perform the exploration and exploitation. To evaluate the ChOA, it is applied to some fixed dimension benchmark functions and engineering problem application of tracking maximum power from solar PV systems under partial shading conditions. Partial shading condition is a common problem that appears in the solar PV modules installed in domestic areas. This shading alters the power developed by the solar PV panel, and exhibits multiple peaks on the power variation with voltage (P-V) characteristic curve. The dynamics of the solar PV system have been considered, and the mathematical model of a single objective function has been framed for tuning the optimal control parameter with the suggested algorithm. Implementing various practical shading patterns of solar PV systems with the ChOA algorithm has shown improved solar power point tracking performance compared to other algorithms in the literature.

scholarly journals Evolutionary and Metaphor-Metaheuristic MPPT Techniques for Enhancing The Operation of Solar PV Under Partial Shading Condition

2019 ◽  
Vol 8 (12) ◽  
pp. 2206-2216 ◽  
Keyword(s):  
Local Maximum ◽  
Industrial Applications ◽  
Maximum Power ◽  
Operating Point ◽  
Solar Pv ◽  
Partial Shading ◽  
Pv Systems ◽  
Advantages And Disadvantages ◽  
Point Tracking ◽  
Power Point

Photovoltaic (PV) systems are the most popular electric power generation systems for domestic as well as industrial applications because of its sustainability and excess availability in nature. Under Partial Shading Condition (PSC), the nonlinear characteristics of solar PV consist of multiple local Maximum Power Points (MPPs) and one global MPP. Hence, it is difficult to operate the operating point of the solar PV closer to true MPP. There are different tracking methods available for MPP Tracking in the literature. The classical Maximum Power Point Tracking (MPPT) methods are not suitable under partial shading conditions because the operating point of PV may settle down to any one of the local MPP. Also, these methods failed to mitigate the oscillations across the operating point of solar PV. The recently developed evolutionary based MPPT techniques are becoming more prominent in order to avoid the drawbacks of classical MPP techniques. In this article, different types of MPPT techniques such as evolutionary, metaphor-metaheuristic and hybrid MPPT techniques are discussed in detail along with their advantages and disadvantages. The comparative analysis is carried out by considering the parameters such as tracking speed, oscillation across MPP, settling time, implementation complexity and efficiency

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