Abstract
Photovoltaic power generation has become the main research direction of new energy power generation. But high investment and low efficiency of photovoltaic industry arouse concern in some extent. So maximum power point tracking of photovoltaic power generation has been a popular study point. Due to slow response, oscillation at maximum power point and low precision, the algorithm based on genetic algorithm combined with BP neural network are designed detailedly in this paper. And the modeling and simulation are completed by use of MATLAB/SIMULINK. The results show that the algorithm is effective and the maximum power point can be tracked accurately and quickly.
| Original language | English |
|---|---|
| Article number | 012022 |
| Journal | Journal of Physics: Conference Series |
| Volume | 1016 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 21 May 2018 |
| Externally published | Yes |
| Event | 2017 6th International Conference on Mechatronics and Control Engineering, ICMCE 2017 - St. Petersburg, Russian Federation Duration: 2 Dec 2017 → 4 Dec 2017 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
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