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Journal ArticleDOI

Maximum power point tracking control techniques: State-of-the-art in photovoltaic applications

TLDR
In this article, a compendium of MPPT techniques for an appropriate selection, based on application requirements and system constraints, is presented and compared against each other in terms of some critical parameters like: number of variables used, complexity, accuracy, speed, hardware implementation, cost, tracking efficiency and so on.
Abstract
A photovoltaic (PV) array has non-linear I–V (current–voltage) characteristics and its output power varies with solar insolation level and ambient temperature. There exists only one point, called maximum power point (MPP), on the P–V (power–voltage) curve, where power is maximum and this point varies with the changing atmospheric conditions. Moreover, energy conversion efficiency of PV module is very low and mismatch between source and load characteristics causes significant power losses. Consequently, maximization of power output with greater efficiency is extremely important. Maximum power point tracking (MPPT) is a technique employed to extract maximum power available from the PV module. It traces the PV operating voltage corresponding to the MPP and locks the operating point at MPP and extract maximum power from the array. Till date, many algorithms for MPPT have been reported, each with its own features. In this paper, a comprehensive presentation of working principle of these techniques is made and they are compared against each other in terms of some critical parameters like: number of variables used, complexity, accuracy, speed, hardware implementation, cost, tracking efficiency and so on. This study is aimed at providing a compendium on MPPT techniques for an appropriate selection, based on application requirements and system constraints.

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Citations
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Journal ArticleDOI

Maximum power point tracking (MPPT) techniques: Recapitulation in solar photovoltaic systems

TL;DR: In this article, a state-of-the-art analysis of the available maximum power point tracking (MPPT) techniques and their comprehensive comparative analysis based on 110 standard research articles is presented.
Journal ArticleDOI

An Autonomous Wireless Body Area Network Implementation Towards IoT Connected Healthcare Applications

TL;DR: The proposed system with solar energy harvesting demonstrates that long-term continuous medical monitoring based on WBAN is possible provided that the subject stays outside for a short period of time in a day.
Journal ArticleDOI

State of the art artificial intelligence-based MPPT techniques for mitigating partial shading effects on PV systems – A review

TL;DR: In this paper, the authors present a review of the performance and reliability of various methods for maximum power point tracking (MPPT) in PV-based power systems, including their limitations and advantages.
Journal ArticleDOI

Maximum power point tracking algorithms for photovoltaic system – A review

TL;DR: In this paper, a comprehensive review on various maximum power point tracking (MPPT) algorithms based on Perturb and Observe, Incremental Conductance, Soft Computing and other techniques along with the real-time hardware implementation of photovoltaic (PV) system is provided.
Journal ArticleDOI

A new MPPT controller based on the Ant colony optimization algorithm for Photovoltaic systems under partial shading conditions

TL;DR: A new Bio- inspired MPPT controller based on the Ant colony Optimization algorithm with a New Pheromone Updating strategy (ACO_NPU MPPT) that saves the computation time and performs an excellent tracking capability with high accuracy, zero oscillations and high robustness is proposed.
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.
Journal ArticleDOI

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.
Journal ArticleDOI

Evaluation of the Main MPPT Techniques for Photovoltaic Applications

TL;DR: Evaluations among the most usual maximum power point tracking techniques, doing meaningful comparisons with respect to the amount of energy extracted from the photovoltaic (PV) panel [tracking factor) in relation to the available power, PV voltage ripple, dynamic response, and use of sensors.
Journal ArticleDOI

Comparative study of maximum power point tracking algorithms

TL;DR: It is found that the P&O method, when properly optimized, can have MPPT efficiencies well in excess of 97%, and is highly competitive against other MPPT algorithms.
Journal ArticleDOI

Closure on "Theoretical and experimental analyses of photovoltaic systems with voltage and current-based maximum power point tracking"

TL;DR: In this article, a microprocessor-controlled tracker capable of online voltage and current measurements and programmed with both voltage-based and current-based MPPT algorithms is constructed, where the load of the solar system is either a water pump or a resistance.
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