File(s) not publicly available
ANN ensemble and output encoding scheme for improved transformer tap-changer operation
conference contribution
posted on 2017-12-06, 00:00 authored by Md Fakhrul IslamMd Fakhrul Islam, Joarder KamruzzamanJoarder KamruzzamanVoltage control of power transmission and distribution system using artificial neural network (ANN) based tap-changer control has a number of potential advantages when the parallel transformers are connected across the power network. Previous development of ANN based tap-changer control were made using modified cascade correlation learning algorithm incorporating the Bayesian framework and produced above 99% correct tap-changer operation in average. This paper investigates and exploits a suitable output coding and ensemble principle in the design of ANN based tap-changer control to further enhance its performance producing more than 99.95% correct tap-changer operation. Ultimately, the ensemble design makes the ANN based control more reliable. Performances of ANN ensembles for tap-changer control are analyzed and results are presented.
History
Parent Title
2006 IEEE PES Power Systems Conference and Exposition Proceedings, Oct. 29 2006-Nov. 1 2006, Atlanta, GA.Start Page
1063End Page
1068Number of Pages
6Start Date
2006-01-01ISBN-10
1424401771Location
Atlanta, GAPublisher
IEEEPlace of Publication
Piscataway, NJPublisher DOI
Full Text URL
Peer Reviewed
- Yes
Open Access
- No
External Author Affiliations
Monash University; Power Systems Conference & Exposition;Era Eligible
- Yes