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/).
Cite this article
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 -