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A computational intelligence based maximum power point tracking for photovoltaic power generation system with small-signal analysis

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This article is published in Optimal Control Applications & Methods.The article was published on 2021-10-01. It has received 5 citations till now. The article focuses on the topics: Maximum power point tracking & Photovoltaic system.

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Roach Infestation Optimization MPPT Algorithm for Solar Photovoltaic System

TL;DR: In this article , a bio-inspired roach infestation optimization (RIO) algorithm is proposed to extract the maximum power from the PV system (PVS), and the results demonstrated that the RIO-based MPPT performs remarkably in tracking with high accuracy as the Particle Swarm Optimization (PSO) based MPPT.
Journal ArticleDOI

Roach Infestation Optimization MPPT Algorithm for Solar Photovoltaic System

TL;DR: In this paper , a bio-inspired roach infestation optimization (RIO) algorithm is proposed to extract the maximum power from the PV system (PVS), which is influenced by the accuracy with which the nonlinear power-voltage (P-V) characteristic curve is traced by the MPPT controller.
Proceedings ArticleDOI

PV System with binary grey wolf optimization based MPPT for partial shading condition

TL;DR: In this article , the authors compared the methods utilized in MPPT under partial shading conditions (PSC) and identified the algorithm with the best tracking speed, decreased oscillation, shorter settling time, and last but not the least, efficiency.

PV System with binary grey wolf optimization based MPPT for partial shading condition

TL;DR: In this paper , the authors compared the methods utilized in MPPT under partial shading conditions (PSC) and identified the algorithm with the best tracking speed, decreased oscillation, shorter settling time, and last but not the least, efficiency.
Proceedings ArticleDOI

Improved MPP Technique for Load and Irradiation Variations

TL;DR: In this paper , a Maximum Power Point (MPPBP) technique is proposed using ANFIS and test results show improved performance following changes in temperature, irradiance and loading.
References
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Journal ArticleDOI

Future Energy Systems: Integrating Renewable Energy Sources into the Smart Power Grid Through Industrial Electronics

TL;DR: In this article, the authors discuss about integrating renewable energy sources into the smart power grid through industrial electronics, including photovoltaic power, wind energy conversion, hybrid energy systems, and tidal energy conversion.
Journal ArticleDOI

Fuzzy-Logic-Control Approach of a Modified Hill-Climbing Method for Maximum Power Point in Microgrid Standalone Photovoltaic System

TL;DR: In this article, a fuzzy-logic controller for maximum power point tracking of photovoltaic (PV) systems is proposed, which improves the hill-climbing search method by fuzzifying the rules of such techniques and eliminates their drawbacks.
Journal ArticleDOI

A Deterministic Particle Swarm Optimization Maximum Power Point Tracker for Photovoltaic System Under Partial Shading Condition

TL;DR: A deterministic particle swarm optimization to improve the maximum power point tracking capability for photovoltaic system under partial shading condition by removing the random number in the accelerations factor of the conventional PSO velocity equation is proposed.
Journal ArticleDOI

Modified Incremental Conductance Algorithm for Photovoltaic System Under Partial Shading Conditions and Load Variation

TL;DR: The results show that the proposed modified incremental conductance algorithm is able to track the GMPP accurately under different types of partial shading conditions, and the response during variation of load and solar irradiation are faster than the conventional Inc Cond algorithm.
Journal ArticleDOI

General review and classification of different MPPT Techniques

TL;DR: In this paper, the concept of power tracking for PV systems is highlighted and an overview on 40 old and recent maximum power point tracking (MPPT) methods, available in the literature, is presented and classified.