Abstact
The corona-generated electromagnetic field environment under and nearer to the extra high dc potential conductors generates an ill health environment which causes serious electrical threats to living organisms present in the conductor corridor. The ionized electromagnetic field environment is characterizing with ionized ionic current flow and enhanced electric field perturbation at ground levels. The primary factors which affect the safe and economical design dimensions of high potential dc conductors are conductor diameter, altitude, applied potential and atmospheric parameters such as temperature, humidity, pressure, and aerosol pollution, etc. This remains a challenging task to design the HVDC transmission system at extended potential levels, as HVDC system employed for a large amount of power transfer barrier in the electrical system to meet inevitable power thrust. To obtain a safe and economical design configuration, multiple experimental design measurements are essential at various climatic seasons which incorporates the tedious process and significant economical expenditure. To obtain the safe and cost-effective design dimension configuration, computational-based numerical analysis with final experimental validation offers substantial support. Using various computational methodologies, many researchers have attempted to guide the critical line design proportions to establish a safe and economical electrical environment beneath the lines at ground levels. All these computational techniques are emphasizing the algorithm iterative-based complex solutions claim the lack of computational accuracy. Hence, this work aims to provide a unique computational technique to analyse the ionised electromagnetic field environment of a unipolar UHV dc transmission system using modelling of the physics of the corona discharge procedure in the active high electrostatic field zone. Modelling of the corona discharge includes the estimation of the amount of new ionized ions generated in the ionization region dynamically claims complex less equations offer a unique solution. To validate the accuracy of the proposed computational technique, multiple outdoor experimental measurements are carried out at HV/EHV/UHV potential applications and discussed. Also, the computed results are compared with the experimental findings, from the comparison outstanding computational accuracy was marked.
Acknowledgments
The authors wish to thank Principal and Dean of the University college of Engineering, Acharya Nagarjuna University and staff, technicians of impulse voltage lab, UHVRL, CPRI, Hyderabad for helping in conducting the experimental work.
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Research ethics: We confirm that we have given due consideration to the protection of intellectual property associated with this work and that there are no impediments to publication, including the timing of publication, with respect to intellectual property. In so doing we confirm that we have followed the regulations of our institutions concerning intellectual property.
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Author contributions: All authors have participated in (a) conception and design, or analysis and interpretation of the data; (b) drafting the article or revising it critically for important intellectual content; and (c) approval of the final version. The author(s) have (has) accepted responsibility for the entire content of this manuscript and approved its submission.
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Competing interests: The authors state no conflict of interest.
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Research funding: None declared
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Data availability: Not applicable.
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Articles in the same Issue
- Frontmatter
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- Optimization model of battery electric vehicle charging facility layout towards embedded system and data mining algorithm
- Investigation on voltage stability evaluation indicators and algorithms for power systems based on neural network algorithms
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- Location of faults based on deep learning with feature selection for meter placement in distribution power grids
- A novel computational technique to analyse the corona generated ionized field environment of EHV/UHV DC transmission lines
- Improving protection of compensated transmission line using IoT enabled adaptive auto reclosing scheme
- A new optimized ZV-ZCS non-isolated high-gain boost converter for renewable energy systems
- Performance of PMU in an electric distribution grid during transients
Articles in the same Issue
- Frontmatter
- Special Issue: Energy Storage and Management System for Electric Vehicles; Guest Editors: Achyut Shankar and Zahid Akhtar
- Optimization model of battery electric vehicle charging facility layout towards embedded system and data mining algorithm
- Investigation on voltage stability evaluation indicators and algorithms for power systems based on neural network algorithms
- Collaborative optimization algorithm for electric vehicle industry chain based on regional economic development needs
- Distributed generation aggregators considering low-carbon credits optimize dispatch strategies
- CFD simulation analysis optimization and experimental verification of heat dissipation problem of electric vehicle motor controller
- Logistics distribution route optimization of electric vehicles based on distributed intelligent system
- Analysis of green energy regeneration system for Electric Vehicles and Re estimation of carbon emissions in international trade based on evolutionary algorithms
- Regular Articles
- Location of faults based on deep learning with feature selection for meter placement in distribution power grids
- A novel computational technique to analyse the corona generated ionized field environment of EHV/UHV DC transmission lines
- Improving protection of compensated transmission line using IoT enabled adaptive auto reclosing scheme
- A new optimized ZV-ZCS non-isolated high-gain boost converter for renewable energy systems
- Performance of PMU in an electric distribution grid during transients