DocumentCode
3151889
Title
Control of static compensators by neural networks to minimise harmonics
Author
Keivani, H. ; Kavehnia, F. ; Ghanbarian, M.M. ; Askari, M.R.
Author_Institution
Islamic Azad Univ., Tehran
fYear
2007
fDate
4-6 Sept. 2007
Firstpage
1104
Lastpage
1108
Abstract
Minimum harmonics production is one of the most important specifications of the Reactive Power compensators. To improve power quality, we need to design the compensators to compensate reactive power additionally the minimum harmonics production is desired. In this paper, we will discuss simultaneously reactive power compensating and harmonic reduction by controlling the fire angles of TSC and TCR, which are the most important FACTS for reactive power controlling. Also neural networks have been used in order to determine firing angles and to increase operation speed.
Keywords
control engineering computing; neural nets; power engineering computing; power system control; power system harmonics; reactive power control; static VAr compensators; FACTS; harmonic reduction; harmonics production; minimise harmonics; neural networks; power quality; reactive power compensators; reactive power control; static compensators control; Neural networks; STATCOM;
fLanguage
English
Publisher
ieee
Conference_Titel
Universities Power Engineering Conference, 2007. UPEC 2007. 42nd International
Conference_Location
Brighton
Print_ISBN
978-1-905593-36-1
Electronic_ISBN
978-1-905593-34-7
Type
conf
DOI
10.1109/UPEC.2007.4469105
Filename
4469105
Link To Document