Proceedings ArticleDOI
Evaluation of particle swarm optimization algorithm in photovoltaic applications
E. Malarvizhi,J. Kamala,A. Sivasubramanian +2 more
- pp 1-6
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TLDR
The evaluation of Particle Swarm Optimization (PSO) algorithm in MPPT based solar power generation systems is discussed and the different methodologies adopted to extract the maximum power from the solar array in photovoltaic (PV) power systems are described.Abstract:
Solar energy is the prime source of consumption for the world. It is the potential candidate for meeting the growing energy demand and solving environmental issues. To derive the maximum Power (MP) from the system, Maximum Power Point Tracking (MPPT) methods are implemented. It is highly essential to derive MP from the available solar energy. Over the years, numerous MPPT methods have been developed and presented in the literature. This paper discusses the evaluation of Particle Swarm Optimization (PSO) algorithm in MPPT based solar power generation systems. It describes the different methodologies adopted to extract the maximum power from the solar array in photovoltaic (PV) power systems.read more
Citations
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Journal ArticleDOI
An Advanced Particle Swarm Optimization Algorithm for MPPTs in PV Systems
TL;DR: The proposed advanced particle swarm optimization algorithm aims to catch the global maximum power point much faster, accurately and to reduce the chatter in the power curve and accelerates the globalmaximum tracking time with gridding the initial search area.
Analysis and simulation of photovoltaic systems incorporating battery energy storage
TL;DR: The research described in the thesis focuses on the analysis of integrating multi-megawatt photovoltaics systems with battery energy storage into the existing grid and on the theory supporting the electrical operation of components and systems.
Proceedings ArticleDOI
Optimization based optimal control of solar PV system
TL;DR: In this paper, a DC-to-DC converter has been used for matching the impedance between PV module or array of modules so as to extract maximum power from PV modules or strings of PV modules.
References
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Journal ArticleDOI
A Biological Swarm Chasing Algorithm for Tracking the PV Maximum Power Point
TL;DR: In this article, a novel photovoltaic (PV) maximum power point tracking (MPPT) based on biological swarm chasing behavior is proposed to increase the MPPT performance for a module-integrated PV power system.
Journal ArticleDOI
FPGA-based real time implementation of MPPT-controller for photovoltaic systems
TL;DR: In this paper, an FPGA-based implementation of a real-time perturb and observe (P&O) algorithm for tracking the maximum power point (MPP) of a photovoltaic (PV) generator is presented.
Design and implementation of Maximum Power Point Tracking (MPPT) algorithm for a standalone PV system
TL;DR: In this article, the authors presented the Matlab/simulink arrangement of perturb & observe (P&O) and incremental conductance (INC) MPPT algorithm which is responsible for driving the dc-dc boost converter to track maximum power point (MPP).
Journal ArticleDOI
An improved particle swarm optimization based maximum power point tracking strategy with variable sampling time
Seyed Mohsen Mirhassani,Sayedeh Zahra Mirbagheri Golroodbari,Sayedeh Mina Mirbagheri Golroodbari,Saad Mekhilef +3 more
TL;DR: An improved maximum power point tracking strategy for photovoltaic systems based on particle swarm optimization (PSO) with fast and accurate performance under different conditions, including PSCs is presented.
Journal ArticleDOI
Analysis and Optimization of Maximum Power Point Tracking Algorithms in the Presence of Noise
TL;DR: Noise is an essential consideration for optimization of MPPT algorithms for photovoltaic systems, leading to an optimization of the system parameters to provide the best tracking accuracy for a specified tracking speed.
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