Proceedings ArticleDOI
Implementation of Enhanced Global Search Particle Swarm Optimization Algorithm for Photovoltaic Systems
TLDR
An Inertia Modified Particle Swarm Optimization (IM-PSO) algorithm for photovoltaic power extraction is presented that helps to keep track of the maximum power point in lesser effort thereby ensuring proper maximum power.Abstract:
Solar Power is the potential alternative to other sources of energy due to its pure and readily available nature. Solar power wattage is not always wonted or constant. It is due to its unaccustomed multi-peak power voltage characteristics exhibited by a variable swing in environmental conditions and shading effects. Swarm Intelligence has been playing a vital role in optimization problem owing to its intelligibility and directness. This article presents an Inertia Modified Particle Swarm Optimization (IM-PSO) algorithm for photovoltaic power extraction. The proposed method helps to keep track of the maximum power point in lesser effort thereby ensuring proper maximum power. The algorithm is modeled and simulated in MATLAB/SIMULINK environment. The results prove it especial to other traditional techniques.read more
Citations
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Proceedings ArticleDOI
Particle Swarm Optimization with Reducing Boundaries (PSO-RB) for Maximum Power Point Tracking of Partially Shaded PV Arrays
Alfredo S Beltran,Sandip Das +1 more
TL;DR: In this article, a modified PSO algorithm with dynamically reduced boundary (PSO-RB) was proposed for the search space of the particles, which showed that the global maxima search time can be significantly improved while maintaining the accuracy.
References
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A Simulated Annealing Global Maximum Power Point Tracking Approach for PV Modules Under Partial Shading Conditions
S. Lyden,Md. Enamul Haque +1 more
TL;DR: In this article, a simulated annealing (SA)-based global maximum power point tracking (GMPPT) technique is proposed for photovoltaic (PV) systems which experience partial shading conditions (PSC).
Journal ArticleDOI
Analytical modelling of partial shading and different orientation of photovoltaic modules
Y.-J. Wang,P.-C. Hsu +1 more
TL;DR: In this paper, an analytical model of a photovoltaic (PV) power system for studying the effects of partial shading and different orientation of PV modules is presented, although limited to the case of series PV modules and composed of complicated non-linear implicit functions.
Proceedings ArticleDOI
A combined two-method MPPT control scheme for grid-connected photovoltaic systems
TL;DR: In this paper, a cost-effective two-method MPPT control scheme is proposed to track the maximum power point (MPP) at both low and high irradiation, by combining a constant voltage (CV) method and a modified perturb and observe (PO) algorithm.
Proceedings ArticleDOI
A Simple Diversity Guided Particle Swarm Optimization
Millie Pant,T. Radha,V.P. Singh +2 more
TL;DR: A new diversity guided particle swarm optimizer (PSO), namely ATRE-PSO, which is a modification of attractive and repulsive PSO (ARPSO) suggested by Riget and Vesterstorm, is proposed.
Journal ArticleDOI
Towards Green Energy for Smart Cities: Particle Swarm Optimization Based MPPT Approach
TL;DR: An improved one-power-point (OPP) maximum power point tracking (MPPT) algorithm for wind energy conversion system (WECS) to overcome the problems of the conventional OPP MPPT algorithm, namely, the difficulty in getting a precise value of the optimum coefficient, requiring pre-knowledge of system parameters, and non-uniqueness of the optimal curve.