A Novel MPPT Control Technology Based on Cloud Model for Photovoltaic Power Generation

Author

An, Lei ; Fan, Wei

Author_Institution

Dept. of Math & Comput., Baoding Univ., Baoding, China

Volume

2

fYear

2011

fDate

28-30 Oct. 2011

Firstpage

3

Lastpage

6

Abstract

The cloud model is a mathematical representation to fuzziness and randomness in linguistic concepts, and integrates the fuzziness and randomness of a linguistic concept in a unified way. This model is a new method for transformation between qualitative and quantitative in the knowledge. In this paper, through analysis of the output of the nonlinear characteristics of PV cells the cloud model will applies to photovoltaic system maximum power point tracking control. The article is designed solar photovoltaic maximum power point tracking (MPPT) method based on cloud model. Simulation result shows that the cloud controller is simple and easy, directly perceived through the senses, and has strong robustness, better control performance, and good application.

Keywords

fuzzy control; nonlinear control systems; photovoltaic power systems; power generation control; solar cells; MPPT control technology; PV cells; cloud model; linguistic concept fuzziness; linguistic concept randomness; nonlinear characteristics; photovoltaic power generation; photovoltaic system maximum power point tracking control; Batteries; Clouds; Numerical models; Photovoltaic cells; Photovoltaic systems; Temperature; MPPT; cloud model; duty factor; photovoltaic power generation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence and Design (ISCID), 2011 Fourth International Symposium on

Conference_Location

Hangzhou

Print_ISBN

978-1-4577-1085-8

Type

conf

DOI

10.1109/ISCID.2011.102

Filename

6079722