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Optimization of perturb and observe maximum power point tracking method

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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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Citations
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A New Maximum Power Point Tracking Method for PEM Fuel Cells Based On Water Cycle Algorithm

TL;DR: The results show that the proposed MPPT method for Proton Exchange Membrane (PEM) fuel cell has a high accuracy and a fast response and the proposed method has the better performance in comparison with the other studied methods.
Journal ArticleDOI

Takagi-Sugeno fuzzy approach for power optimization in standalone photovoltaic systems

TL;DR: The results indicate the effectiveness of the proposed T-S Fuzzy algorithm in tracking maximum power than the Incremental Conductance Algorithm.
Journal ArticleDOI

MPPT for a PV Grid-Connected System to Improve Efficiency under Partial Shading Conditions

TL;DR: The grey wolf optimization (GWO) method is proposed in order to track the global maximum power point and to maximize the energy extraction of the PV system and to reduce convergence time.
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Enhanced leader adaptive velocity particle swarm optimisation based global maximum power point tracking technique for a PV string under partially shaded conditions

TL;DR: The proposed enhanced leader adaptive velocity PSO (ELAVPSO) GMPPT technique overcomes the limitations of conventional PSO such as premature convergence and difficulty in parameter tuning and a new shading detection scheme is proposed, which accurately finds the type of shading from P – V curve scanning.
Journal ArticleDOI

A two stage successive estimation based maximum power point tracking technique for photovoltaic modules

TL;DR: In this paper, a new method of tracking the maximum power point (MPP) of a photovoltaic (PV) module exploiting the effects of the inherent characteristic resistances of the photiovoltaic cells is proposed.
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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