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Proceedings ArticleDOI

Application of particle swarm optimization for maximum power point tracking in PV system

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TLDR
A detailed simulation of the proposed particle Swarm Optimization technique for multi-junction solar cell system shows that this design can be effectively realized in practical applications.
Abstract
Particle Swarm Optimization (PSO) technique has been applied for multi-junction solar cell system. The solar panels are made up of different materials and give constant output from Boost converter. The main aim of PSO is to find out duty cycle to the Boost converter to maintain constant output voltage irrespective of power produced by solar panels. A detailed simulation of the proposed method has been simulated in Matlab/Simulink. The simulation result shows that this design can be effectively realized in practical applications.

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Citations
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Journal ArticleDOI

Nature Inspired Methods and Their Industry Applications—Swarm Intelligence Algorithms

TL;DR: This paper presents the particle swarm optimization (PSO) algorithm and the ant colony optimization (ACO) method as the representatives of the SI approach and mentions some metaheuristics belonging to the SI.
Proceedings ArticleDOI

A Review on Metaheuristic Algorithms: Recent Trends, Benchmarking and Applications

TL;DR: This review paper is aimed to give a brief overview of evolutionary algorithms, their benchmarking and their recent successful applications.
Journal ArticleDOI

Performance of PSO Based Variants in Tracking Optimal Power in a Solar PV based Generation System under Partial Shading Condition

TL;DR: A comparison among various available techniques for tracking maximum power at the output of the PV array by using particle swarm optimization (PSO) based algorithms to track the maximum power and the comparison is done on the basis of convergence rate for different shading patterns.

Hybrid MPPT algorithm for PV systems under partially shaded conditions using a stochastic evolutionary search and a deterministic hill climbing

TL;DR: The proposed approach employs the particle swarm optimizer (PSO) to solve a dynamic optimization problem related to the control task in a PV system using a stochastic evolutionary search and a deterministic hill climbing algorithm.
Book ChapterDOI

Performance Analysis of the Level Control with Inverse Response by using Particle Swarm Optimization

TL;DR: The study has concluded that PSO provided better PI tunings for the best control of the Heat Exchanger function in the LOOP-PRO software.
References
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Journal ArticleDOI

Maximum Power Point Tracking of Multiple Photovoltaic Arrays: A PSO Approach

TL;DR: A novel MPPT algorithm is proposed by introducing a particle swarm optimization (PSO) technique that uses only one pair of sensors to control multiple PV arrays, thereby resulting in lower cost, higher overall efficiency, and simplicity with respect to its implementation.
Journal ArticleDOI

Parallel-Connected Solar PV System to Address Partial and Rapidly Fluctuating Shadow Conditions

TL;DR: A portable solar PV system that effectively eliminates both of the aforementioned problems is described and proven and is capable of simultaneously maximizing the power generated by every PV cell in the PV panel.
Journal ArticleDOI

Multi-string-converter with reduced specific costs and enhanced functionality

TL;DR: In this paper, a PV-converter based on the advanced multi-string concept results in significantly reduced specific costs while still profiting from the well-known advantages of the string-converster technology developed by ISET and SMA in the mid-1990s.
Proceedings ArticleDOI

An efficient power electronics solution for lateral multi-junction solar cell systems

TL;DR: In this article, a complete photovoltaic (PV) power system constructed from lateral multijunction solar cells is proposed along with a new interconnection technique, where I/V characteristics of the solar cells have been matched in the proposed interconnection using a multi-input dc-dc converter.
Book ChapterDOI

Design of PSO-Fuzzy MPPT Controller for Photovoltaic Application

TL;DR: Improved mathematical model which is used to study the changes in different parameter and effects on the PV array such as operating temperature and solar irradiation level improved is improved and PSO-Fuzzy algorithm is proposed for MPPT control.
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