Maximum power point tracking using modified PSO with CUK Converter

Author

Vysakh, M. ; Azharuddin, Md ; Vilas, Harshal ; Muralidhar, K. ; Paul, Deleglise ; Jacob, Biji ; Babu, T. Sudhakar ; Rajasekar, N.

Author_Institution

Sch. of Electr. Eng., VIT Univ., Vellore, India

fYear

2014

fDate

9-11 Jan. 2014

Firstpage

1

Lastpage

6

Abstract

This paper proposes modified Particle Swarm Optimization (PSO) for maximum power point tracking in solar PV system. MPPT methods are used for extraction of maximum power from PV panels; since the non-linear characteristics of panel hinders the power output from the panel. Earlier proposed methods like HC, Incremental Conductance suffers from steady state and lower efficiency. This proposed evolutionary computation technique assures nearly zero steady state oscillation and faster convergence while tracking maximum power. The proposed PSO algorithm is tested on a DC-DC CUK Converter and simulation results are compared with Incremental Conductance and Hill Climbing methods.

Keywords

electric admittance; evolutionary computation; maximum power point trackers; oscillations; particle swarm optimisation; solar power stations; DC-DC Cuk converter; HC methods; MPPT methods; PSO algorithm; PV panels; evolutionary computation technique; hill climbing methods; incremental conductance methods; maximum power point tracking; modified PSO; modified particle swarm optimization; nonlinear characteristics; solar PV system; zero steady state oscillation; Algorithm design and analysis; Equations; Mathematical model; Maximum power point trackers; Oscillators; Radiation effects; Steady-state; MPPT; Particle Swarm Optimization (PSO); Solar PV;

fLanguage

English

Publisher

ieee

Conference_Titel

Advances in Electrical Engineering (ICAEE), 2014 International Conference on

Conference_Location

Vellore

Type

conf

DOI

10.1109/ICAEE.2014.6838493

Filename

6838493