DocumentCode :
1778273
Title :
Model Predictive Control based Maximum Power Point Tracking technique applied to Ultra Step-Up Boost Converter for PV applications
Author :
Abdel-Rahim, Omar ; Funato, Hirohito
Author_Institution :
Dept. of Electr. & Electron. Eng., Utsunomiya Univ., Utsunomiya, Japan
fYear :
2014
fDate :
20-23 May 2014
Firstpage :
138
Lastpage :
142
Abstract :
This paper proposes two-stage Maximum Power Point Tracking (MPPT) technique for PV Applications. The first stage is a Modified Incremental Conductance Algorithm (MICA), used to generate the maximum power reference current. And the second stage utilizes Model Predictive Control (MPC) for controlling the PV module and achieves the maximum power. The proposed algorithm has the ability to track the maximum power under sever environmental conditions and reaches to steady state at a very small time. Ultra-Step-Up Boost Converter (USUBC) is proposed in this paper for Photovoltaic (PV) application. The proposed system has a very high gain, so it enables reducing number of PV modules connected in series. Analysis and simulation of the proposed system is discussed in details through the paper.
Keywords :
maximum power point trackers; power convertors; predictive control; solar cell arrays; MICA; MPC; PV module; USUBC; maximum power point tracking technique; maximum power reference current; model predictive control; modified incremental conductance algorithm; two-stage MPPT technique; ultra step-up boost converter; Asia; Cost function; Equations; Maximum power point trackers; Prediction algorithms; Switches; Maximum Power Point Tracking; Model Predictive Control; Modified Incremental Conductance; Ultra-Step-Up Boost Converter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovative Smart Grid Technologies - Asia (ISGT Asia), 2014 IEEE
Conference_Location :
Kuala Lumpur
Type :
conf
DOI :
10.1109/ISGT-Asia.2014.6873778
Filename :
6873778
Link To Document :
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