MPPT based solar powered cascade multilevel inverter

Author

Shimi, S.L. ; Thakur, Tripta ; Kumar, Jayant ; Chatterji, Sourindra ; Karanjkar, Dnyaneshwar

Author_Institution

Electr. Eng. Dept., NITTTR, Chandigarh, India

fYear

2013

fDate

4-6 June 2013

Firstpage

1

Lastpage

5

Abstract

This paper presents a 11 level cascade multilevel inverter which implements the popularly used MPPT algorithms Perturb and Observe and Incremental Conductance on the PV array which powers the multilevel inverter. Adaptive Neuro Fuzzy Inference System (ANFIS) based controller switching scheme is used to improve the power quality thus to reduce the Total Harmonic Distortion (THD). The performances are evaluated by means of MATLAB/SIMULINK simulations by implementing Perturb and Observe and Incremental Conductance MPPT algorithm on the PV array and the results in terms of THD are compared.

Keywords

adaptive control; cascade control; fuzzy control; fuzzy reasoning; harmonic distortion; maximum power point trackers; neurocontrollers; photovoltaic cells; power supply quality; switching convertors; ANFIS; MATLAB-SIMULINK simulation; MPPT algorithm; PV array; THD; adaptive neurofuzzy inference system based controller switching scheme; incremental conductance; perturb and observe; power quality; solar powered cascade multilevel inverter; total harmonic distortion; Adaptive systems; Arrays; Harmonic analysis; Inverters; Mathematical model; Maximum power point trackers; Power system harmonics; Adaptive Neuro Fuzzy Inference System (ANFIS); Maximum Power Point Tracking (MPPT); Solar Powered Multilevel Inverter; Total Harmonic Distortion (THD);

fLanguage

English

Publisher

ieee

Conference_Titel

Emerging Research Areas and 2013 International Conference on Microelectronics, Communications and Renewable Energy (AICERA/ICMiCR), 2013 Annual International Conference on

Conference_Location

Kanjirapally

Print_ISBN

978-1-4673-5150-8

Type

conf

DOI

10.1109/AICERA-ICMiCR.2013.6576041

Filename

6576041