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Xiaohua Nie [1] and Haoyao Nie [2]

Academic Editor: Daniela Proto

1, Information Engineering School, Nanchang University, Nanchang, Jiangxi Province 330031, China, ncu.edu.cn

2, Economics Management School, Nanchang University, Nanchang, Jiangxi Province 330031, China, ncu.edu.cn

Received Jan 19, 2017; Revised May 22, 2017; Accepted Jun 14, 2017

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.

1. Introduction

The MPPT technology is one of the key PV technologies in the application of PV. To further improve the accuracy of MPPT is the eternal pursuit of MPPT, whose aim is to maximize the conversion of solar energy into electric energy. Due to the PV array itself, the DC/DC converter, and other complex environment factors, the nonlinear V-P curve of PV not only is characterized by multiple maximum points but also causes the problem of measurement noise and outliers, which reduce the accuracy of MPPT and the efficiency of PV [1, 2].

With the development of intelligent and optimization algorithms, they have been widely used in various fields of industrial electrical appliances [2, 3]. In recent years, many GMPPT (Global Maximum Power Point Tracking) algorithms have been proposed to deal with the failure of conventional MPPT algorithm because of the existence of multiple power maxima. These GMPPT algorithms improved the tracking accuracy effectively [4, 5], but they were effective without considering the measurement noise and outliers; it has been proved by simulation analysis that the measurement noise and outliers have influence on MPPT accuracy [6]. The performance of the MPPT algorithm is limited by measurement noises and outliers, and many GMPPT algorithms would be useless in practical application because the measurement noise and outliers are very important factors to be considered for the optimization of MPPT. Based on the above analysis, the validity of the existing GMPPT algorithms still has to be verified with measurement noises and outliers. Therefore, the MPPT strategy based on filtering is proposed, such as Kalman filter [7] or least square filter [8]. These MPPT strategies with filters can inhibit or reduce the influence of measurement noises and improve the tracking accuracy and response speed.

With vast computing ability, the...

 

 

 

   

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