Title :
Study of TSC Plus SVG Based on the Mixture of Hot Rolling Mill Control of Reactive Power Compensation
Author :
Lei Zhang ; Shan-cheng Qi ; Hui-guang Zhao ; Juan Yao
Author_Institution :
Dept. of Autom. Control, Henan Mech. & Electr. Eng. Coll., Xinxiang, China
Abstract :
To meet the requirement of continuous reactive power compensation with low cost, high reliability and large capacity, a hybrid dynamic reactive power compensation system was proposed based on TSC (thyristor switched capacitor in parallel) and SVG (static var compensator). This system consisting of discrete subsystem TSC and continuous subsystem SVG, coordinated the capacitor switching rating of TSC with dynamic compensation of SVG by using two hybrid control laws based on expert decision making, made full use of their respective advantages. The machine learning approach was applied to avoid repeated movements of capacitors and extend equipment life.
Keywords :
capacitors; control engineering computing; decision making; hot rolling; learning (artificial intelligence); rolling mills; static VAr compensators; thyristors; continuous reactive power compensation; continuous subsystem SVG; discrete subsystem TSC; expert decision making; hot rolling mill control; hybrid control laws; machine learning approach; static VAr compensator; thyristor switched capacitor; Capacitors; Harmonic analysis; Reactive power; Switches; Switching circuits; Voltage fluctuations;
Conference_Titel :
Control, Automation and Systems Engineering (CASE), 2011 International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4577-0859-6
DOI :
10.1109/ICCASE.2011.5997699