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Journal ArticleDOI

A comprehensive review and classified comparison of MPPT algorithms in PV systems

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TLDR
In this article, the authors present a review of the previous articles and provide a proper division, performance method for selecting the appropriate algorithm, which explains the performance, application, advantages and disadvantages of algorithms to be a good reference for selecting an appropriate algorithm.
Abstract
One of the most available energy sources in the world is solar energy, while in the category of renewable and nonrenewable energies is in the first group. Power generation of a photovoltaic (PV) system is a technique which is possible by using solar cells. Since photovoltaic systems cannot force solar cells to operate at MPP, a controller is needed to do so. If the controller can operate more accurately, or in other words, be optimized, the system will have an appropriate output. Many papers have been presented on maximum power point tracking algorithms. This paper intends to review the previous articles and provide a proper division, performance method. This explains the performance, application, advantages and disadvantages of algorithms to be a good reference for selecting the appropriate algorithm. Algorithms in this paper are divided into four categories methods based on measurement, calculation, intelligent schemes and hybrid schemes. The exhibition of new algorithms and the optimization of previous algorithms have led to the number of articles in this field over the years. In order to review the methods a comparative table is also provided. Finally, a PV system has been controlled by using three algorithms P&O, IC and Fuzzy-PI. The outputs control signals from the MPPT have been applied by Boost and SEPIC converters, and the outputs have been compared. Simulations have been performed in MATLAB/Simulink software.

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Citations
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Journal ArticleDOI

A Comparative Analysis of Maximum Power Point Techniques for Solar Photovoltaic Systems

TL;DR: In this article , the authors compared the most widely used maximum power point tracking (MPPT) techniques such as the perturb and observe method (P&O), incremental conductance method (INC), fuzzy logic controller method (FLC), neural network (NN) model, and adaptive neuro-fuzzy inference system method (ANFIS) with the modern approach of the hybrid method (neural network + P&O) for PV systems.
Journal ArticleDOI

A Comprehensive Review of Maximum Power Point Tracking (MPPT) Techniques Used in Solar PV Systems

TL;DR: In this article , the authors classified the methods used for maximum power point tracking in photovoltaic systems into conventional, intelligent, optimization, and hybrid techniques, and made a comparison of the different methods based on criteria such as tracking speed, efficiency, cost, stability, and complexity of implementation.
Journal ArticleDOI

A comprehensive review of global maximum power point tracking algorithms for photovoltaic systems

TL;DR: A detailed, critical and comprehensive review of the widely used and recently developed global maximum power point tracking (GMPPT) algorithms for photovoltaic (PV) systems is provided in this article.
Journal ArticleDOI

Hardware-In-the-Loop Validation of Direct MPPT Based Cuckoo Search Optimization for Partially Shaded Photovoltaic System

TL;DR: This paper details how a direct control cuckoo search optimizer (CSO) is used to track the GMP for a photovoltaic (PV) system and reveals that the CSO outperformed the PSO in terms of steady-state fluctuations and tracking time.
Journal ArticleDOI

Optimization of the power flow of photovoltaic generators in electrical networks by MPPT algorithm and parallel active filters

TL;DR: In this article, a method for the reduction of harmonics generated by photovoltaic generators in electrical networks is presented, which is based on parallel active filters using three switching cells per arm connected downstream of the seven level inverters.
References
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Journal ArticleDOI

Hybrid metaheuristics in combinatorial optimization: A survey

TL;DR: A survey of some of the most important lines of hybridization of metaheuristics with other techniques for optimization, which includes, for example, the combination of exact algorithms and meta heuristics.
Journal ArticleDOI

A Maximum Power Point Tracking (MPPT) for PV system using Cuckoo Search with partial shading capability

TL;DR: In this article, the authors proposed a maximum power point tracking (MPPT) method using Cuckoo Search (CS) method for large and medium-sized PV systems. And the results show that CS is capable of tracking MPP within 100-250 ms under various types of environmental change.
Journal ArticleDOI

Modified Incremental Conductance Algorithm for Photovoltaic System Under Partial Shading Conditions and Load Variation

TL;DR: The results show that the proposed modified incremental conductance algorithm is able to track the GMPP accurately under different types of partial shading conditions, and the response during variation of load and solar irradiation are faster than the conventional Inc Cond algorithm.
Journal ArticleDOI

Free-Flight Odor Tracking in Drosophila Is Consistent with an Optimal Intermittent Scale-Free Search

TL;DR: This analysis reveals that the control of these visually independent saccades and the flight intervals between them constitute an optimal scale-free active searching strategy in Drosophila, and shows that searching is intermittent, such that active searching phases randomly alternate with relocation phases.
Journal ArticleDOI

Artificial neural network-polar coordinated fuzzy controller based maximum power point tracking control under partially shaded conditions

TL;DR: In this article, a novel maximum power point tracking (MPPT) system is proposed for partially shaded PV array using artificial neural network (ANN) and fuzzy logic with polar information controller.
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