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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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Journal ArticleDOI

Micro-Energy Harvesting System Including a PMU and a Solar Cell on the Same Substrate With Cold Startup From 2.38 nW and Input Power Range up to 10 $\mu$ W Using Continuous MPPT

TL;DR: In this paper, a power management unit (PMU) powered by a 1.575mm solar cell on the same substrate is presented to rise up the harvested voltage above 1.1V.
Proceedings ArticleDOI

Performance improvement of a photo voltaic array using MPPT (P&O) technique

TL;DR: The results confirm that the photo voltaic array with proposed MPPT controller can operate in the maximum power point for the whole range of assumed solar data (irradiance and temperature).
Proceedings ArticleDOI

Modified maximum power point tracking based-on ripple correlation control application for single-phase VSI grid-connected PV systems

TL;DR: In this paper, a modified maximum power point tracking (MPPT) based on ripple correlation control technique application for single-phase voltage source inverter (VSI) grid-connected photovoltaic (PV) system is proposed.
Proceedings ArticleDOI

An adaptive neuro-fuzzy inference system-based MPPT controller for photovoltaic arrays

TL;DR: In this paper, an adaptive Neuro-Fuzzy Inference System (ANFIS) was used to determine the optimal operating point of a stand-alone photovoltaic (PV) system.
Proceedings ArticleDOI

Photovoltaic parallel resonant dc-link soft switching inverter using hysteresis current control

TL;DR: This paper proposes a photovoltaic parallel resonant dc-link soft switching inverter using hysteresis current control, which can reduce the switching loss.
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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