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Proceedings ArticleDOI

Fuzzy logic controller based maximum power point tracking for PV system

TLDR
In this article, a fuzzy logic controller (FLC) based maximum power point tracking (MPPT) method for the PV system under constant and varying climatic conditions is proposed. But the performance of fuzzy logic with various membership function (MF) is analyzed to optimize the MPPT.
Abstract
Solar Photovoltaic (PV) exploitation is a significant renewable energy source. The energy converted directly from sunlight through PV panel is not steady due to different solar intensity. Maximum power point tracking (MPPT) is used extract maximum power from the solar panel, high-performance soft computing techniques can be used as a maximum power point tracking techniques. This paper proposes fuzzy logic controller (FLC) based MPPT method for the PV system under constant and varying climatic conditions. FLC-based MPPT is able to differ the PV operating voltage and seek for the maximum power that the PV panel can produce. The performance of fuzzy logic with various membership function (MF) is analyzed to optimize the MPPT. Simulation results demonstrate that the recital of FLC-based MPPT is better than unadventurous perturb and observe (P&O) MPPT.

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Citations
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Journal ArticleDOI

An Advanced Maximum Power Point Tracking Method for Photovoltaic Systems by Using Variable Universe Fuzzy Logic Control Considering Temperature Variability

TL;DR: In this paper, an MPPT method is presented for a photovoltaic (PV) system that considers the temperature change by using variable universe fuzzy logic control (VUFLC).
Proceedings ArticleDOI

Artificial neural network based maximum power point tracking for solar photovoltaics

TL;DR: A comparative analysis between three MPPT techniques i.e. Perturb and Observe, Fractional open circuit voltage and the proposed ANN based technique is presented, the results of which are compared with the effectiveness of the proposed method highlighted.
Journal ArticleDOI

Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control

Miaomiao Ma, +2 more
- 11 Mar 2020 - 
TL;DR: Voltage regulation controller based on MPC to maintain the output voltage of the PV system at the desired value and possible improvements on the closed-loop performance such as fast response and low overshoot are shown.
Proceedings ArticleDOI

Modeling of a photovoltaic system with different MPPT techniques using MATLAB/Simulink

TL;DR: A step-by-step modeling of a PV system is presented and it is shown that P&O and incremental conductance methods may fail under rapidly changing climatic conditions and present oscillations around the MPP during the steady state period, while fuzzy logic control can track the system to theMPP very fast and accurately, even during rapid variations of atmospheric conditions.
Journal ArticleDOI

Enhancement of On-grid PV System under Irradiance and Temperature Variations Using New Optimized Adaptive Controller

TL;DR: On grid PV system model in MATLAB SIMULINK is tested under sudden irradiance and cell temperature variations and the new adaptive controller gives better results.
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

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.
Proceedings ArticleDOI

A study of maximum power point tracking algorithms for stand-alone Photovoltaic Systems

TL;DR: In this paper, two categories of MPPT algorithms, namely indirect and direct methods, are discussed and the advantages and disadvantages of each MPPT algorithm are reviewed, while the simulation results produced by the two algorithms are compared with the expected results generated by Solarex MSX60 PV modules.
Proceedings ArticleDOI

Perturb and observe based on fuzzy logic controller maximum power point tracking (MPPT)

TL;DR: In this article, the authors explored the PV system and DC to DC converter with reference to two cases: in the first case, the system was designed as a closed loop system, since the situation of the system depends on the algorithm of the maximum power point tracking (MPPT), which captures the maximum amount of sunshine to generate the maximum electrical power.
Proceedings ArticleDOI

Maximum power point tracker for a PV cell using a fuzzy agent adapted by the fractional open circuit voltage technique

TL;DR: A fuzzy agent with two input parameters enhanced by the fractional open circuit voltage technique will be used to track the MPP in a fast and accurate manner that is better than the traditional techniques.
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