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 :
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