A Novel Machine Learning-Based Framework for Optimal and Secure Operation of Static VAR Compensators in EAFs

A Novel Machine Learning-Based Framework for Optimal and Secure Operation of Static VAR Compensators in EAFs

A static VAR compensator (SVC) is a critical component for reactive power compensation in electric arc furnaces (EAFs) that is used to relieve the flicker impacts and maintain the voltage level. A weak voltage profile can not only reduce the power-quality services, but can also result in system inst...

Full description

Bibliographic Details
Main Authors: Li Zeng, Tian Xia, Salah K. Elsayed, Mahrous Ahmed, Mostafa Rezaei, Kittisak Jermsittiparsert, Udaya Dampage, Mohamed A. Mohamed
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Sustainability
Subjects:
static VAR compensator
reactive power
teaching–learning algorithm
electric arc furnace
secured model
Online Access:https://www.mdpi.com/2071-1050/13/11/5777

Internet

https://www.mdpi.com/2071-1050/13/11/5777

Similar Items