Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)

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Flywheel Energy Based Energy Power Generator Grid-Connected VSC HVDC Performance Under Faults

Authors
P. Venkata Mani Sudha1, *, J. Sivavara Prasad1, J. V. Pavan Chand1
1Department of EEE, Lakireddy Bali Reddy College of Engineering, Mylavaram, India
*Corresponding author. Email: pasupuletimanisudha@gmail.com
Corresponding Author
P. Venkata Mani Sudha
Available Online 5 December 2022.
DOI
10.2991/978-94-6463-074-9_21How to use a DOI?
Keywords
VSC; HVDC; FESS
Abstract

Voltage Source Converter (VSC) transmission dependent on High Voltage Direct Current (HVDC) is viewed as a potential force transmission in future. This paper focuses on the way the dependable VSC-HVDC unwavering quality between seaside wind ranches and beach front lattices. In addition, a large-capacity, low-speed Flywheel Energy Storage System (FESS) is being developed. It is a squirrel cage induction motor-based coupled in shunt with a VSC-HVDC presence at the grid side circuit. For offshore wind farms, VSC-HVDC transmission was adopted. The primary function of FESS is to absorb surplus energy that reaches the load, as well as to provide stored energy to the grid in the event of a failure (or) when there is insufficient energy to meet the load demand at the grid. The low-weight FESS upholds the square info machine utilized similarly as the FESS has the potential for improvement (because of possible disparity) a compound rather than a scattering as a conflicting misfortune. As the span of this forward time is exceptionally short, it has been shown that notwithstanding the mistake remedying support in the hour of blunder supply, FESS was utilized for power estimation execution during typical activity. A 132-kV; the 100-MW HVDC framework is finished utilizing MATLAB/Incentive for every single normal circumstance and mistakes.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
5 December 2022
ISBN
978-94-6463-074-9
ISSN
2589-4919
DOI
10.2991/978-94-6463-074-9_21How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - P. Venkata Mani Sudha
AU  - J. Sivavara Prasad
AU  - J. V. Pavan Chand
PY  - 2022
DA  - 2022/12/05
TI  - Flywheel Energy Based Energy Power Generator Grid-Connected VSC HVDC Performance Under Faults
BT  - Proceedings of the International Conference on Artificial Intelligence Techniques for Electrical Engineering Systems (AITEES 2022)
PB  - Atlantis Press
SP  - 242
EP  - 252
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-074-9_21
DO  - 10.2991/978-94-6463-074-9_21
ID  - VenkataManiSudha2022
ER  -