Title :
A neural network controlled optimal pulse-width modulated STATCOM
Author :
Mohaddes, M. ; Gole, A.M. ; McLaren, P.G.
Author_Institution :
Dept. of Electr. & Comput. Eng., Manitoba Univ., Winnipeg, Man., Canada
fDate :
4/1/1999 12:00:00 AM
Abstract :
The paper describes a technique to control the harmonic output of a static synchronous compensator (STATCOM) using a pulse width modulation (PWM) scheme with a minimal number of additional switchings. A neural network algorithm is developed to define the switching instants. This technique offers an alternative to the multi-pulse techniques that require complex magnetic circuit arrangements as well as to the conventional PWM technology that requires a large number of switchings
Keywords :
PWM power convertors; neurocontrollers; power system control; power system harmonics; static VAr compensators; switching; PWM scheme; harmonic output control; harmonic reduction; neural network; neural network algorithm; optimal pulse-width modulated STATCOM control; reactive power; static synchronous compensator; switching instants; switchings; voltage source converter; Artificial neural networks; Automatic voltage control; Capacitors; Energy storage; Neural networks; Optimal control; Pulse modulation; Pulse width modulation; Reactive power; Space vector pulse width modulation;
Journal_Title :
Power Delivery, IEEE Transactions on
