A Neural network-based Super Capacitor of a Multimachine Power System connected with a Renewable Energy sources
Keywords:
Faults, Active and reactive power Loss, AC voltage control, VSC HVDC, offshore wind energy, PID, NN, THD.Abstract
The paper advocates for the adoption of DC transmission based on voltage source converters (VSCs) as the future of offshore power transmission. It focuses on connecting onshore grids with offshore wind farms through innovative system design.The wave of the future for offshore power transmission is DC transmission based on voltage source converters (VSCs). Connecting onshore grids with offshore wind farms is the primary goal of this paper's DC transmission system design. Using DC at the grid side converter in tandem with a squirrel cage induction machine forms a large-capacity, low-speed flywheel energy storage system (FESS), as described in this article. Instead of being wasted as resistive losses, the FESS is specifically designed to absorb surge power, which occurs because of power flow imbalances during faults. It has been shown that the flywheel may successfully alleviate this issue due to the short length of these surges. The FESS is utilized for power evening out usefulness during ordinary activity and for fault ride-through assistance during fault circumstances. Illustrate the integration of offshore wind farms with onshore grids using DC transmission based on VSCs, highlighting the significance of this approach. Showcase the flow of power within the system, emphasizing the utilization of FESS to mitigate power flow imbalances during faults and maintain stability.Downloads
Published
2024-10-25
How to Cite
M. Bindu Priya, Dr. U. Salma. (2024). A Neural network-based Super Capacitor of a Multimachine Power System connected with a Renewable Energy sources. International Journal of Communication Networks and Information Security (IJCNIS), 16(4), 1795–1814. Retrieved from https://ijcnis.org/index.php/ijcnis/article/view/7496
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Section
Research Articles