By Topic

Application of particle swarm optimization for maximum power point tracking of PV system with direct control method

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Ishaque, K. ; Fac. of Electr. Eng., Univ. Teknol. Malaysia, Skudai, Malaysia ; Salam, Z. ; Shamsudin, A.

This paper presents the application of particle swarm optimization (PSO) for maximum power point tracking (MPPT) of Photovoltaic (PV) system using the direct control method. The main contribution of the proposed scheme is the elimination of PI control loop which normally exists to manipulate the duty cycle. It is shown that the proposed MPPT controller has a similar structure to the conventional hill climbing method. However, the former exhibits superior dynamic and steady state response. It is also discovered that the controller performs satisfactorily during partial shading conditions of the PV array. It is able to track the global peak (GP) within ten sampling intervals. Simulation results indicate that proposed controller outperforms the hill climbing method for all type of environmental conditions.

Published in:

IECON 2011 - 37th Annual Conference on IEEE Industrial Electronics Society

Date of Conference:

7-10 Nov. 2011