DOIONLINE

DOIONLINE NO - IJACEN-IRAJ-DOIONLINE-8305

Publish In
International Journal of Advance Computational Engineering and Networking (IJACEN)-IJACEN
Journal Home
Volume Issue
Issue
Volume-5,Issue-6  ( Jun, 2017 )
Paper Title
An Improved Particle Swarm Optimization Based Maximum Power Point Tracking Algorithm for SPV System
Author Name
Dileep. G, S. N. Singh
Affilition
Research Scholar, Senior Scientific Officer Alternate Hydro Energy Centre, Indian Institute of Technology Roorkee, Uttarakhand-247667
Pages
1-5
Abstract
This paper proposes an improved particle swarm optimization (PSO) based MPPT algorithm to improve the steady state performance. Furthermore, the proposed method has the ability to track MPP effectively under rapidly varying conditions and partial shading condition (PSC). Formulation of problem, design details and experimental results are discussed in detail. The proposed technique is independent of the system, it is easy to implement, tracking efficiency is high and performance under changing atmospheric condition is good. Effectiveness of the proposed method is validated by analyzing the experimental results obtained from 110 W solar power generation systems. Keywords- MPPT, PSO, partial shading, photo voltaic generation system.
  View Paper