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Mathematical Problems in Engineering
Volume 2014, Article ID 464835, 11 pages
Research Article

Two-Stage Chaos Optimization Search Application in Maximum Power Point Tracking of PV Array

1School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
2School of Electronic Communication & Physics, Shandong University of Science & Technology, Qingdao 266590, China

Received 11 April 2014; Revised 25 November 2014; Accepted 25 November 2014; Published 11 December 2014

Academic Editor: Gerhard-Wilhelm Weber

Copyright © 2014 Lihua Wang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


In order to deliver the maximum available power to the load under the condition of varying solar irradiation and environment temperature, maximum power point tracking (MPPT) technologies have been used widely in PV systems. Among all the MPPT schemes, the chaos method is one of the hot topics in recent years. In this paper, a novel two-stage chaos optimization method is presented which can make search faster and more effective. In the process of proposed chaos search, the improved logistic mapping with the better ergodic is used as the first carrier process. After finding the current optimal solution in a certain guarantee, the power function carrier as the secondary carrier process is used to reduce the search space of optimized variables and eventually find the maximum power point. Comparing with the traditional chaos search method, the proposed method can track the change quickly and accurately and also has better optimization results. The proposed method provides a new efficient way to track the maximum power point of PV array.