| Issue |
E3S Web Conf.
Volume 616, 2025
2nd International Conference on Renewable Energy, Green Computing and Sustainable Development (ICREGCSD 2025)
|
|
|---|---|---|
| Article Number | 02020 | |
| Number of page(s) | 12 | |
| Section | Green Computing | |
| DOI | https://doi.org/10.1051/e3sconf/202561602020 | |
| Published online | 24 February 2025 | |
Power Smoothing Enhancement in Hybrid System Using Neural Network Controller
1 Associate Professor, Department of Electrical and Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India
2 UG scholar, Department of Electrical and Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India
3 UG scholar, Department of Electrical and Electronics Engineering, Vignana Bharathi Institute of Technology, Hyderabad, India
4 CVR College of Engineering, Department of EEE, Hyderabad, India
* Corresponding author: agopalakrushna@gmail.com
A novel hybrid energy system featuring a neural network (NN) controller for enhanced power smoothing is proposed in this research. The system integrates a wind turbine and a solar array to generate renewable electricity. However, the inherent variability of renewable energy sources can lead to power fluctuations that disrupt the stability of the power grid. To address this challenge, an NN controller is employed to optimize power smoothing within the system. By analysing historical data, the controller anticipates future power variations and dynamically adjusts the system’s operation to maintain a more consistent power output. The proposed hybrid system with improved power smoothing capabilities is anticipated to facilitate the integration of renewable energy into the power grid, fostering a more stable and sustainable energy landscape. The system is implemented using MATLAB Simulink software.
© The Authors, published by EDP Sciences, 2025
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