Performance evaluation of CSI-based unified power quality conditioner using artificial neural network
by K. Vadirajacharya, P. Agarwal, H.O. Gupta
International Journal of Power Electronics (IJPELEC), Vol. 1, No. 1, 2008

Abstract: In recent years unified power quality conditioner (UPQC) is being used as a universal active power conditioning device to mitigate both current as well as voltage harmonics at a distribution end of power system network. The performance of UPQC mainly depends upon how quickly and accurately compensation signals are derived. The artificial neural network (ANN) trained with conventional compensator data, can deliver compensation signals more accurately and quickly than conventional compensator at varied load condition. This paper presents performance verification of CSI-based UPQC using artificial neural network. The ANN-based compensation system eliminates voltage as well as current harmonics with good dynamic response. Extensive simulation results using Matlab/Simulink for RL load connected through an uncontrolled bridge rectifier validates the performance of ANN compensator.

Online publication date: Fri, 31-Oct-2008

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Power Electronics (IJPELEC):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email