IAESCOREIAESCORE
International Journal of Electrical and Computer Engineering (IJECE)International Journal of Electrical and Computer Engineering (IJECE)In wind energy conversion systems, maximum power point tracking (MPPT) performance is crucial, as it is directly related to wind speed variability and the characteristics of the equipment used. Maximum power point tracking controllers are essential for optimizing the efficiency of wind power generation. This paper presents the development of three distinct approaches to maximum power point tracking: the classical perturb and observe (P&O) method, and two other techniques based on artificial intelligence, namely long short-term memory (LSTM) networks and deep neural networks (DNNs). Rather than focusing solely on the development of an intelligent neural network-based maximum power point tracking model, our work emphasizes the design of a deep neural network controller with an optimized architecture and a reduced number of layers and neurons per layer, thereby simplifying its implementation in embedded process control units while maintaining high maximum power point tracking performance. The results obtained show that our optimized deep neural network model identifies the point of maximum power more effectively than other techniques, demonstrating remarkable performance in terms of response time, accuracy, and the quality of the generated power.
This study successfully developed and evaluated an optimized deep neural network (DNN) model for maximum power point tracking (MPPT) in wind turbine systems.The results demonstrate that the optimized DNN model outperforms both the classical perturb and observe (P&O) method and the long short-term memory (LSTM) network in terms of tracking speed, accuracy, and power quality.The optimized architecture of the DNN, with a reduced number of layers and neurons, facilitates its implementation in embedded systems, making it a practical solution for real-time MPPT control.
Further research should investigate the application of the optimized DNN model to different types of wind turbines and generator configurations to assess its generalizability. Exploring the integration of advanced forecasting techniques, such as wavelet transforms or hybrid models, could enhance the DNNs ability to anticipate wind speed variations and proactively adjust the MPPT strategy, leading to improved energy capture. Additionally, investigating the robustness of the optimized DNN model under various grid conditions and fault scenarios is crucial for ensuring reliable and stable operation of wind energy conversion systems, and could involve developing adaptive control strategies that dynamically adjust the DNN parameters based on real-time grid feedback. These investigations will contribute to the development of more efficient, reliable, and intelligent wind energy systems, ultimately accelerating the transition towards sustainable energy sources.
| File size | 935.67 KB |
| Pages | 11 |
| DMCA | Report |
Related /
IAESCOREIAESCORE Specifically, the PD inception voltage (Vin) is higher under DC conditions (15. 5 kV) than under AC conditions (11. 8 kV), and the PD inception time (Tin)Specifically, the PD inception voltage (Vin) is higher under DC conditions (15. 5 kV) than under AC conditions (11. 8 kV), and the PD inception time (Tin)
IAESCOREIAESCORE This research successfully demonstrates the effectiveness of a Unified Power Quality Conditioner (UPQC) in addressing power quality issues within railwayThis research successfully demonstrates the effectiveness of a Unified Power Quality Conditioner (UPQC) in addressing power quality issues within railway
IAESCOREIAESCORE PD pada elektroda jarum-bidang terjadi pada tegangan rata-rata 10,96 kV, sedangkan pada elektroda bidang-bidang terjadi pada tegangan rata-rata 12,5 kV.PD pada elektroda jarum-bidang terjadi pada tegangan rata-rata 10,96 kV, sedangkan pada elektroda bidang-bidang terjadi pada tegangan rata-rata 12,5 kV.
IAESCOREIAESCORE 8 years, this project demonstrates the economic and environmental advantages of solar-powered EV infrastructure, supporting the transition to clean transportation8 years, this project demonstrates the economic and environmental advantages of solar-powered EV infrastructure, supporting the transition to clean transportation
IAESCOREIAESCORE Penelitian lebih lanjut dapat dilakukan dengan implementasi UPFC atau UPQC dengan teknik optimasi hibridisasi dalam sistem energi terbarukan seperti selPenelitian lebih lanjut dapat dilakukan dengan implementasi UPFC atau UPQC dengan teknik optimasi hibridisasi dalam sistem energi terbarukan seperti sel
IAESCOREIAESCORE The study reveals that incorporating copper layers with thicknesses of 1 and 2 mm into the heat sink base reduces the operating temperature of the PV panelThe study reveals that incorporating copper layers with thicknesses of 1 and 2 mm into the heat sink base reduces the operating temperature of the PV panel
IAESCOREIAESCORE Pendekatan ini memungkinkan perluasan rentang variasi yang diperbolehkan dalam parameter regulator, sehingga memastikan perilaku dinamis yang diinginkanPendekatan ini memungkinkan perluasan rentang variasi yang diperbolehkan dalam parameter regulator, sehingga memastikan perilaku dinamis yang diinginkan
IAESCOREIAESCORE Particularly, when exposed to ideal solar radiation, the charger recharges a 9 Ah battery from 30% to full capacity in about 10 hours and 10 minutes. ThisParticularly, when exposed to ideal solar radiation, the charger recharges a 9 Ah battery from 30% to full capacity in about 10 hours and 10 minutes. This
Useful /
IAESCOREIAESCORE Additionally, it optimized speed overshoot and undershoot by 44%, significantly enhancing system performance, responsiveness, and drive smoothness. ThisAdditionally, it optimized speed overshoot and undershoot by 44%, significantly enhancing system performance, responsiveness, and drive smoothness. This
IAESCOREIAESCORE Perkiraan harga listrik sangat penting bagi pembeli, bisnis pembangkitan, dan penawar untuk manajemen permintaan, penjadwalan pembangkitan, dan kutipanPerkiraan harga listrik sangat penting bagi pembeli, bisnis pembangkitan, dan penawar untuk manajemen permintaan, penjadwalan pembangkitan, dan kutipan
IAESCOREIAESCORE The proposed converter demonstrated a high voltage gain of 25 at 12 V input, though with a reduced power rating of 15 W, and reached a peak efficiencyThe proposed converter demonstrated a high voltage gain of 25 at 12 V input, though with a reduced power rating of 15 W, and reached a peak efficiency
IAESCOREIAESCORE Selain hasil eksperimental, pekerjaan yang disajikan membuka peluang menarik untuk pengembangan sistem fotovoltaik yang lebih efisien dan berkelanjutan.Selain hasil eksperimental, pekerjaan yang disajikan membuka peluang menarik untuk pengembangan sistem fotovoltaik yang lebih efisien dan berkelanjutan.