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A Hybrid ANFIS-ABC Based MPPT Controller for PV System with Anti-Islanding Grid Protection: Experimental Realization

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TLDR
A novel control system with maximum power point tracker (MPPT) for the photovoltaic system with grid integration using the hybrid ANFIS-ABC-based algorithm, not described practically by any researchers in the past works is introduced.
Abstract
This paper introduces a novel control system with maximum power point tracker (MPPT) for the photovoltaic system with grid integration. Hybrid adaptive neuro-fuzzy inference system (ANFIS) and artificial bee colony (ABC) algorithm employed to optimize the membership function. Hence, for minimizing the root mean square error (RMSE), this controls the SEPIC-based MPPT algorithm to achieve rapid PV power tracking. The system performance is improved by fuzzy logic control (FLC), which generates the switching signal to the power switches of the inverter. A dSPACE (DS1104) control board employed for experimental validation of MPPT and inverter control strategies. The novelty of the proposed hybrid MPPT controller is the optimal tuning of ANFIS membership function with the ABC algorithm and been neither discussed before for PV power applications. The experimental responses completely validate the reliability of the PV grid integration with anti-islanding protection. The recentness of this research work is PV MPPT functioning using the hybrid ANFIS-ABC-based algorithm, been not described practically by any researchers in the past works.

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Journal ArticleDOI

Critical Review on PV MPPT Techniques: Classical, Intelligent and Optimisation

TL;DR: This study gives an extensive review of 23 MPPT techniques present in literature along with recent publications on various hardware design methodologies to address the advancement in this area for further research.
Journal ArticleDOI

Classification and summarization of solar photovoltaic MPPT techniques: A review based on traditional and intelligent control strategies

TL;DR: The main MPPT techniques for PV systems are reviewed and summarized, and divided into three groups according to their control theoretic and optimization principles.
Journal ArticleDOI

MPPT Algorithm Based on Artificial Bee Colony for PV System

TL;DR: In this article, the use of ABC (artificial bee colony) algorithm for the maximum power point tracking (MPPT) of a PV system using a DC-DC converter was proposed.
Journal ArticleDOI

A comprehensive review and classified comparison of MPPT algorithms in PV systems

TL;DR: In this article, the authors present a review of the previous articles and provide a proper division, performance method for selecting the appropriate algorithm, which explains the performance, application, advantages and disadvantages of algorithms to be a good reference for selecting an appropriate algorithm.
Journal ArticleDOI

Improved-Team-Game-Optimization-Algorithm-Based Solar MPPT With Fast Convergence Speed and Fast Response to Load Variations

TL;DR: A new metaheuristic approach, namely improved team game optimization algorithm, has been proposed, and only one tuning parameter is required for the proposed algorithm, and a new approach has been introduced to increase the convergence speed.
References
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Journal ArticleDOI

Control Strategy for Three-Phase Grid-Connected PV Inverters Enabling Current Limitation Under Unbalanced Faults

TL;DR: A novel control strategy to mitigate the double grid frequency oscillations in the active power and dc-link voltage of the two-stage three-phase grid-connected photovoltaic (PV) inverters during unbalanced faults is introduced.
Journal ArticleDOI

An Extensive Practical Investigation of FPSO-Based MPPT for Grid Integrated PV System Under Variable Operating Conditions With Anti-Islanding Protection

TL;DR: The novelty of this paper is experimental implementation and verification of FPSO-based hybrid MPPT as well as modified SVPWM inverter control has neither been discussed nor implemented before using dSPACE platform by the author's best review.
Journal ArticleDOI

Rapid MPPT for Uniformly and Partial Shaded PV System by Using JayaDE Algorithm in Highly Fluctuating Atmospheric Conditions

TL;DR: A hybrid of “Jaya” and “differential evolution (DE)” (JayaDE) technique for MPPT in the highly fluctuating atmospheric conditions is introduced and the satisfactory steady-state and dynamic performances of this new hybrid technique show the superiority over the state-of-the-art control methods.
Journal ArticleDOI

MPPT in Dynamic Condition of Partially Shaded PV System by Using WODE Technique

TL;DR: In this paper, a humpback whale hunting behavior inspired whale optimization with differential evolution (WODE) technique-based tracking algorithm for the maximum power point tracking in the dynamic as well as the steady-state conditions of a partially shaded solar photovoltaic (PV) system is introduced.
Journal ArticleDOI

State Estimation of Discrete-Time Switched Neural Networks With Multiple Communication Channels

TL;DR: The considered switching law, not only generalizes the commonly studied dwell-time (DT) and average DT (ADT) switchings, but also further attaches mode-dependency to the persistent DT (PDT) switching that is shown to be more general.
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