Preprint / Version 1

Modeling a Simplified Wind Power System with Wireless Data Transmission

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DOI:

https://doi.org/10.31224/4186

Keywords:

Modeling, Wind Power, Wireless system, transmission network modeling, Renewable Energy

Abstract

This paper presents a low-fidelity model of a wind power system using a Simplified Generator block, designed for planning and pitch control studies. The model integrates renewable energy generation with an air interface-based wireless network to enable efficient data communication. QPSK, known for its high spectral efficiency, low latency, and flexible frequency bands, transmits key operational data such as power output, wind speed, and system diagnostics. The physical layer of the network, including free space path loss, limited bandwidth, RF receiver dynamics, and demodulation, is simulated using MATLAB and Simulink. The study explores the impact of wireless communication on transmitted signals, analyzing the effects of channel characteristics and system design on data integrity and performance. Results demonstrate the viability of using QPSK networks for real-time monitoring and control in wind power systems, offering insights into the efficient integration of wireless technology for renewable energy applications.

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Author Biographies

Talha Imtiaz Baig, University of Electronic Science and Technology of China

Talha Imtiaz Baig is a Ph.D. scholar in Biomedical Engineering at the University of Electronic Science and Technology of China. His research interests lie at the intersection of NeuroAI, resting-state fMRI, medical image processing, machine/deep learning, and bioinformatics. Talha's work focuses on developing innovative computational methods for disease diagnosis, prediction, and classification. He has published several papers in reputable journals, including Informatics in Medicine Unlocked, IEEE Access, PLOS ONE, and Scientific Reports. His research has also been presented at international conferences, such as the 2019 International Conference on Innovative Computing (ICIC). With a growing body of research, Talha aims to contribute meaningfully to the field of biomedical engineering and artificial intelligence.

Ahsan Iqbal, 132KV Grid Station Kasur New Lahore, Pakistan

I am a researcher specializing in electrical systems, automation, and digital technologies. I hold a Bachelor of Science in Electrical Systems from Superior University Lahore and a specialization in Programmable Logic Controllers from Descon Technical Institute. My research interests encompass smart grids, IoT-based SCADA systems, and renewable energy solutions. As an experienced Electrical Engineer, having worked at a 132kV grid station, I possess practical expertise in implementing innovative voltage protection solutions. I aspire to advance research on sustainable energy systems and interdisciplinary applications of technology.

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Posted

2024-12-02