LAPSE:2023.6654
Published Article

LAPSE:2023.6654
The Impacts of Terrestrial Wind Turbine’s Operation on Telecommunication Services
February 24, 2023
Abstract
This paper presents a compendious review for the evaluation and description of the mathematical modelling of the affected components in wind turbines which cause the scattering of communication signals. The impact of an adjacent wind farm operation on telecommunication signals is that it induces electromagnetic interference (EMI) in radar, television and radio signals, resulting from the complex rotating blade’s geometry of the wind turbines. Thus, altering the quality of the reflected signal, especially the capability of the radar detection. In all the modelling studies, the radar cross section (RCS) model of a wind turbine’s blade is found to be the most complex, due to its huge computational burden. However, clutter filtering is another interesting technique, which employs the Doppler signal processing to obviate the huge computational task in RCS. In this case, the rotating blades of the wind turbine produce Doppler echoes, which in turn are used to estimate the model of the blade by modelling the echo of the scattering points. Therefore, this review succinctly compiles the basic steps of theoretical analysis and simulations of the impact of wind turbines on communication signals, and the remedies to minimize the impact.
This paper presents a compendious review for the evaluation and description of the mathematical modelling of the affected components in wind turbines which cause the scattering of communication signals. The impact of an adjacent wind farm operation on telecommunication signals is that it induces electromagnetic interference (EMI) in radar, television and radio signals, resulting from the complex rotating blade’s geometry of the wind turbines. Thus, altering the quality of the reflected signal, especially the capability of the radar detection. In all the modelling studies, the radar cross section (RCS) model of a wind turbine’s blade is found to be the most complex, due to its huge computational burden. However, clutter filtering is another interesting technique, which employs the Doppler signal processing to obviate the huge computational task in RCS. In this case, the rotating blades of the wind turbine produce Doppler echoes, which in turn are used to estimate the model of the blade by modelling the echo of the scattering points. Therefore, this review succinctly compiles the basic steps of theoretical analysis and simulations of the impact of wind turbines on communication signals, and the remedies to minimize the impact.
Record ID
Keywords
blades, communication signals, electromagnetic interference, radar, radar cross section, wind turbine
Subject
Suggested Citation
Abubakar U, Mekhilef S, Mokhlis H, Seyedmahmoudian M, Stojcevski A, Rawa M. The Impacts of Terrestrial Wind Turbine’s Operation on Telecommunication Services. (2023). LAPSE:2023.6654
Author Affiliations
Abubakar U: Power Electronics & Renewable Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia
Mekhilef S: Power Electronics & Renewable Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, V [ORCID]
Mokhlis H: Power Electronics & Renewable Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia [ORCID]
Seyedmahmoudian M: School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Stojcevski A: School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Rawa M: Smart Grids Research Group, Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Department of Electrical and Computer Engineering, Faculty of Engineering, K. A. CARE Energy Research a [ORCID]
Mekhilef S: Power Electronics & Renewable Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia; School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, V [ORCID]
Mokhlis H: Power Electronics & Renewable Research Laboratory (PEARL), Department of Electrical Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia [ORCID]
Seyedmahmoudian M: School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Stojcevski A: School of Science, Computing and Engineering Technologies, Swinburne University of Technology, Hawthorn, VIC 3122, Australia
Rawa M: Smart Grids Research Group, Center of Research Excellence in Renewable Energy and Power Systems, King Abdulaziz University, Jeddah 21589, Saudi Arabia; Department of Electrical and Computer Engineering, Faculty of Engineering, K. A. CARE Energy Research a [ORCID]
Journal Name
Energies
Volume
16
Issue
1
First Page
371
Year
2022
Publication Date
2022-12-28
ISSN
1996-1073
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Original Submission
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PII: en16010371, Publication Type: Review
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LAPSE:2023.6654
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https://doi.org/10.3390/en16010371
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Feb 24, 2023
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