Title :
Modelling and analysis of a cascade 11-level inverters-based SVG with control strategies for electric arc furnace (EAF) application
Author :
Zhang, Z. ; Fahmi, N.R.
Author_Institution :
Sch. of Eng. & Appl. Sci., Univ. of Birmingham, UK
fDate :
3/1/2003 12:00:00 AM
Abstract :
The application of cascaded multilevel inverters-based SVG for EAF compensation is investigated. A mathematical model for 11-level cascaded inverters-based SVG is carried out, and a control method based on adjusting both the modulation index (MI) and the phase angle is proposed. Furthermore, to shorten the SVG response time and improve its accuracy, a feed forward neural network to be employed for on-line applications is developed, calculating the MI/switching patterns that are currently found using a conventional look-up table. MATLAB simulation results are provided to validate the proposed schemes.
Keywords :
arc furnaces; feedforward neural nets; invertors; modulation; power engineering computing; static VAr compensators; 11-level cascaded inverters-based SVG; MATLAB simulation; MI/switching patterns; STATCOM; capacitor DC voltage balancing; cascaded multilevel inverters-based SVG; control strategies; electric arc furnace; mathematical model; modulation index adjustment; phase angle adjustment; response time reduction; selected harmonic elimination; static VAr generator;
Journal_Title :
Generation, Transmission and Distribution, IEE Proceedings-
DOI :
10.1049/ip-gtd:20030023
