Hybrid EVO-CFNN approach for improve voltage stability of distribution system performance using superconducting magnetic energy storages inter linked with wind turbine

The integration of renewable energy sources, like wind turbines (WT), with energy storage systems has become a promising solution for improving the stability and performance of distribution systems. However, optimizing the coordinated operation of energy storage systems and WT to improve voltage reg...

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Vydáno v:	Journal of energy storage Ročník 112; s. 115465
Hlavní autoři:	Bharathi, S. Lakshmi Kanthan, Thanigaivelan, V., Shenbagaraman, S., Babu, M. Ramesh
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Ltd 15.03.2025
Témata:	Cascaded forward neural network Distribution system Energy Valley Optimizer Load Superconducting magnetic energy storages Voltage Wind turbine Load Voltage Superconducting magnetic energy storages Cascaded forward neural network Energy Valley Optimizer Distribution system Wind turbine
ISSN:	2352-152X
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