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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

A grey wolf optimization based MPPT for PV system under changing insolation level

TL;DR: In this article, a new maximum power extraction algorithm for a photovoltaic (PV) system under any variation in insolation is presented, which has the capability to reach global peak (GP) under any weather conditions.
Journal Article

Multiple Peaks Tracking Algorithm using Particle Swarm Optimization Incorporated with Artificial Neural Network

TL;DR: A hybrid algorithm of Particle Swarm Optimization (PSO) and Artificial Neural Network (ANN) MPPT algorithm for the detection of global peak among the multiple peaks in order to extract the true maximum energy from PV panel.
Journal ArticleDOI

Implementing GA-ANFIS for Maximum Power Point Tracking in PV System

TL;DR: The Adaptive Neuro-Fuzzy Inference System (ANFIS) and an integrated offline Genetic Algorithm (GA) to track the PV power based on different circumstances due to the various climate changes are proposed.
Proceedings ArticleDOI

A fully autonomous power management strategy for DC microgrid bus voltages

TL;DR: In this paper, a typical DC microgrid is investigated and a fully autonomous power management strategy, namely adaptive DC bus voltage signal, is proposed to manage the system operation, which can operate in islanding mode, DC source-connection mode, featuring seamless transitions between these two modes.
Proceedings ArticleDOI

Analysis of improved PSO and perturb & observe global MPPT algorithm for PV array under partial shading condition

TL;DR: In this article, the authors proposed a novel maximum power point tracking (MPPT) control method for photovoltaic (PV) system based on an improved particle swarm optimization (PSO) algorithm and variable step perturb and observe (P&O) method.
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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