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Journal ArticleDOI

Optimization of perturb and observe maximum power point tracking method

TLDR
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.
Abstract
Maximum power point tracking (MPPT) techniques are 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. The issue of MPPT has been addressed in different ways in the literature but, especially for low-cost implementations, the perturb and observe (PO moreover, it is well known that the P&O algorithm can be confused during those time intervals characterized by rapidly changing atmospheric conditions. In this paper it is shown that, in order to limit the negative effects associated to the above drawbacks, the P&O MPPT parameters must be customized to the dynamic behavior of the specific converter adopted. A theoretical analysis allowing the optimal choice of such parameters is also carried out. Results of experimental measurements are in agreement with the predictions of theoretical analysis.

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Proceedings ArticleDOI

Development of microcontroller-based maximum power point tracker for a photovoltaic panel

TL;DR: In this paper, a microcontroller based maximum power point trackers (MPPT) is realized for solar photovoltaic (PV) panels at their maximum power points.
Journal ArticleDOI

Improvement in Perturb and Observe Method Using State Flow Approach

TL;DR: In this paper, a perturb and observe (P&O) method was proposed to track the maximum power point (MPP) of photovoltaic system without oscillating around it using stateflow as its control tool.
Journal ArticleDOI

Design, simulation, and hardware implementation of novel optimum operating point tracker of PV system using adaptive step size

TL;DR: Results demonstrate that the proposed adaptive step-length perturbation and observation P&O strategy can offer many benefits compared to conventional P &O MPPT method and other methods developed previously in terms of low ripple, low overshoot, and low response time.
Proceedings ArticleDOI

A comparison of photovoltaic maximum power point techniques

TL;DR: In this article, different MPPT techniques are reviewed and compared with their pros and cons and a Fuzzy Logic based MPPT controller is also implemented using MATLAB FUZZY Logic toolbox.
Journal ArticleDOI

Gird-connected boost inverter for low-power PV applications with model predictive control

TL;DR: A two-stage inverter with high-voltage conversion ratio employing modified finite-set model predictive control (MPC) for utility-integrated low-power photovoltaic (PV) applications and is suitable for low PV power applications.
References
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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.
Journal ArticleDOI

Development of a microcontroller-based, photovoltaic maximum power point tracking control system

TL;DR: In this paper, a buck-type DC/DC converter is used to maximize the photovoltaic array output power, irrespective of the temperature and irradiation conditions and of the load electrical characteristics.
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.
Book

Basic circuit theory

Journal ArticleDOI

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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