Proceedings of the 2016 International Conference on Intelligent Control and Computer Application

Maximum Power Point Tracking Algorithm of Photo Voltaic Power Generation System

Authors
Xia Sun, Chuanchuan Wang
Corresponding Author
Xia Sun
Available Online January 2016.
DOI
10.2991/icca-16.2016.75How to use a DOI?
Keywords
Maximum Power Point Tracking Algorithm, the improved disturbance observation method, the improved incremental conductance tracking algorithm; photo voltaic Power Generation System
Abstract

This paper analyzed methods of Maximum Power Point Tracking Algorithm of Photo voltaic Power Generation System. such as disturbance observation method, the improved disturbance observation method, incremental conductance tracking algorithm, the improved incremental conductance tracking algorithm, these methods were used to improve the efficiency of photo voltaic system, and to increase the utilization rate of solar energy. At last, we put forward outlook of the maximum power point tracking algorithm under complicated illumination conditions. These algorithms can be realized by TMS320VC5402.

Copyright
© 2016, 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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Volume Title
Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
Series
Advances in Computer Science Research
Publication Date
January 2016
ISBN
978-94-6252-154-4
ISSN
2352-538X
DOI
10.2991/icca-16.2016.75How to use a DOI?
Copyright
© 2016, 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  - CONF
AU  - Xia Sun
AU  - Chuanchuan Wang
PY  - 2016/01
DA  - 2016/01
TI  - Maximum Power Point Tracking Algorithm of Photo Voltaic Power Generation System
BT  - Proceedings of the 2016 International Conference on Intelligent Control and Computer Application
PB  - Atlantis Press
SP  - 316
EP  - 319
SN  - 2352-538X
UR  - https://doi.org/10.2991/icca-16.2016.75
DO  - 10.2991/icca-16.2016.75
ID  - Sun2016/01
ER  -