Research on MPPT Control Algorithm of Flexible Amorphous Silicon Photovoltaic Power Generation System Based on BP Neural Network

DOI

10.2991/icsmim-15.2016.30How to use a DOI?

Keywords

Flexible amorphous silicon photovoltaic cells; Maximum Power Point Tracking (MPPT); BP neural network; PID control; MATLAB

Abstract

Output efficiency decreasing phenomena also occur when environmental factors of flexible amorphous silicon photovoltaic power generation system (PV system) change. On the basis of building the system simulation model via MATLAB tool, researches are conducted on the issues of tracking time (0.04s), overshoot volume (11.7%) and steady-state error (0.5V) when performing maximum power point tracking with classic perturbation and observation method; the paper proposes BP neural network MPPT control algorithm combining PID control. The results of stimulation indicate that this method could complete the maximum power point tracking of flexible amorphous silicon photovoltaic cells in 0.01s, reduce the overshoot volume to 0.003%, decrease the steady-state error to 0.15V, eliminate the voltage oscillation, reduce the lag time, and improve the robustness of the system.

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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TY  - CONF
AU  - Linqiang Xu
AU  - Yongze Wang
AU  - Ning Han
PY  - 2016/01
DA  - 2016/01
TI  - Research on MPPT Control Algorithm of Flexible Amorphous Silicon Photovoltaic Power Generation System Based on BP Neural Network
BT  - Proceedings of the 2015 4th International Conference on Sensors, Measurement and Intelligent Materials
PB  - Atlantis Press
SP  - 152
EP  - 159
SN  - 2352-538X
UR  - https://doi.org/10.2991/icsmim-15.2016.30
DO  - 10.2991/icsmim-15.2016.30
ID  - Xu2016/01
ER  -