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Journal ArticleDOI

Comparative study of variable size perturbation and observation maximum power point trackers for PV systems

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TLDR
In this article, the use of Fuzzy logic and non-switching zone schemes for implementing variable size perturbations for improved transient and steady-state responses is discussed, and the potential performance of four different P&O algorithms is investigated by means of simulations.
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This article is published in Electric Power Systems Research.The article was published on 2010-03-01. It has received 95 citations till now. The article focuses on the topics: Maximum power point tracking & Operating point.

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Citations
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Journal ArticleDOI

Classification and comparison of maximum power point tracking techniques for photovoltaic system: A review

TL;DR: In this paper, a classification scheme for MPPT methods based on three categories: offline, online and hybrid methods is introduced, which can provide a convenient reference for future work in PV power generation, is based on the manner in which the control signal is generated and the PV power system behavior as it approaches steady state conditions.
Journal ArticleDOI

Applications of fuzzy logic in renewable energy systems – A review

TL;DR: An attempt has been made to review the applications of fuzzy logic based models in renewable energy systems namely solar, wind, bio-energy, micro-grid and hybrid applications and indicates that fuzzy based models provide realistic estimates.
Journal ArticleDOI

A review on maximum power point tracking for photovoltaic systems with and without shading conditions

TL;DR: In this article, the maximum power point tracking (MPPT) methods of PV system for normal and partial shading conditions (PSC) were classified as artificial intelligent, hybrid, and other MPPT methods.
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A genetic algorithm optimized ANN-based MPPT algorithm for a stand-alone PV system with induction motor drive

TL;DR: A genetic algorithm (GA) optimized ANN-based MPPT algorithm implemented in a stand-alone PV system with direct-coupled induction motor drive to eliminate dc–dc converter and its accompanying losses is proposed.
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A novel maximum power point tracking technique based on fuzzy logic for photovoltaic systems

TL;DR: A novel MPPT technique based on FL control and P&O algorithm is presented and demonstrates that the proposed technique accurately tracks the maximum power point and avoids the drift problem, whilst achieving efficiencies of greater than 99.6%.
References
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Journal ArticleDOI

Comparison of Photovoltaic Array Maximum Power Point Tracking Techniques

TL;DR: The many different techniques for maximum power point tracking of photovoltaic (PV) arrays are discussed in this paper, and at least 19 distinct methods have been introduced in the literature, with many variations on implementation.
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Optimization of perturb and observe maximum power point tracking method

TL;DR: In this article, the perturb and observe (PO) algorithm is used in photovoltaic (PV) systems to maximize the PV array output power by tracking continuously the maximum power point (MPP) which depends on panels temperature and on irradiance conditions.
Book

Fuzzy Control

TL;DR: Drawing on their extensive experience working with industry on implementations, Kevin Passino and Stephen Yurkovich have written an excellent hands-on introduction for professionals and educators interested in learning or teaching fuzzy control.
Journal ArticleDOI

Maximum photovoltaic power tracking: an algorithm for rapidly changing atmospheric conditions

TL;DR: In this article, the authors developed an incremental conductance (IncCond) algorithm to track the maximum power operating point (MPOP) of photovoltaic (PV) power generation systems.
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Implementation of a DSP-controlled photovoltaic system with peak power tracking

TL;DR: A simple method of tracking the maximum power points (MPPs) and forcing the system to operate close to these points is presented, and the principle of energy conservation is used to derive the large- and small-signal model and transfer function.
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