DocumentCode :
3387410
Title :
A fuzzy-genetic algorithm based approach for controlling unscheduled flows using SC and PST
Author :
Dag, G.O. ; Bagriyanik, M.
Author_Institution :
Inf. Inst., Istanbul Tech. Univ., Istanbul, Turkey
fYear :
2011
fDate :
4-6 Aug. 2011
Firstpage :
1
Lastpage :
5
Abstract :
In de-regulated power systems the power flow control problem gains importance when an interconnected power transmission system is operated at or close to its power-carrying limits. Thus, the minimization of unscheduled power flows need to be succeeded efficiently and fast. In this paper, the effects of the devices both series capacitors (SC) and phase shifting transformers (PST) on the minimization of unscheduled power flows are presented. The problem is formulated as a multi objective optimization problem in fuzzy environment. The constraints and objectives are defined using fuzzy membership functions. A finalized problem after fuzzy decision is solved using genetic algorithm. The method is applied to the IEEE 30 bus test system, and the results are presented.
Keywords :
IEEE standards; genetic algorithms; load flow control; power capacitors; power system interconnection; power transformers; transmission networks; IEEE 30 bus test system; deregulated power systems; fuzzy-genetic algorithm; interconnected power transmission system; phase shifting transformers; power flow control; series capacitors; unscheduled flows control; Genetic algorithms; Load flow; Load flow control; Optimization; Power transmission lines; Reactive power;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
North American Power Symposium (NAPS), 2011
Conference_Location :
Boston, MA
Print_ISBN :
978-1-4577-0417-8
Electronic_ISBN :
978-1-4577-0418-5
Type :
conf
DOI :
10.1109/NAPS.2011.6025105
Filename :
6025105
Link To Document :
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