Predictive Duty Cycle of Maximum Power Point Tracking Based on Artificial Neural Network and Bootstrap Method for Hybrid Photovoltaic/ Wind Turbine System Considering Limitation Voltage of Grid
In this paper, we propose a new control-based the neural network and bootstrap method to get the predictive duty cycle for the maximum power point of hybrid Photovoltaic (PV) and Wind Turbine generator system (WTG) connected to 380 V grid. The neural network is designed to be controller by learning...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Institut Teknologi Sepuluh Nopember
2020-10-01
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| Series: | JAREE (Journal on Advanced Research in Electrical Engineering) |
| Online Access: | http://jaree.its.ac.id/index.php/jaree/article/view/119 |