Journal of Robotics, Networking and Artificial Life

Volume 3, Issue 2, September 2016, Pages 111 - 115

Study on the Technology of MPPT of the Solar Photovoltaic Based on the Model Predictive Control

Authors
Xia Zhao, Huailin Zhao, Masanori Sugisaka
Corresponding Author
Xia Zhao
Available Online 1 September 2016.
DOI
10.2991/jrnal.2016.3.2.10How to use a DOI?
Keywords
Photovoltaiccell; Maximum power point tracking; Solar energy; Matlab/Simulink
Abstract

The solar photovoltaic battery is a very important new type of renewable distributed energy. But its output power is directly affected by the light intensity and temperature. Its voltage-current characteristics have obvious nonlinear features. Therefore, a new MPPT technology based on the model predictive control (MPC) is proposed in this paper. The simulation results show that the method can quickly track the maximum power point under the practical environmental conditions, and improve the energy conversion efficiency of the system.

Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Journal
Journal of Robotics, Networking and Artificial Life
Volume-Issue
3 - 2
Pages
111 - 115
Publication Date
2016/09/01
ISSN (Online)
2352-6386
ISSN (Print)
2405-9021
DOI
10.2991/jrnal.2016.3.2.10How to use a DOI?
Copyright
© 2013, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - JOUR
AU  - Xia Zhao
AU  - Huailin Zhao
AU  - Masanori Sugisaka
PY  - 2016
DA  - 2016/09/01
TI  - Study on the Technology of MPPT of the Solar Photovoltaic Based on the Model Predictive Control
JO  - Journal of Robotics, Networking and Artificial Life
SP  - 111
EP  - 115
VL  - 3
IS  - 2
SN  - 2352-6386
UR  - https://doi.org/10.2991/jrnal.2016.3.2.10
DO  - 10.2991/jrnal.2016.3.2.10
ID  - Zhao2016
ER  -