Title :
Optimal Placement of UPFC in Power Systems Using Genetic Algorithm
Author :
Arabkhaburi, D. ; Kazemi, A. ; Yari, M. ; Aghaei, J.
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
Abstract :
In this paper GA is used for determining optimal location of UPFC in the power system. Optimal location in this paper is meant finding line number for UPFC location and its parameters for specified number of UPFCs. Unlike other FACTS devices, UPFC has great flexibility that can control the active and reactive power flow and bus voltages, simultaneously. The system loadability is applied as measure of power system performance. Decoupled model of UPFC is used in simulation. The concept of simulation is the load flow incorporated with UPFC. Studies are applied on the 14-buses IEEE network. The results have shown that steady state performance of power system can be effectively enhanced due to the optimal location and parameters of UPFC.
Keywords :
genetic algorithms; load flow control; power system control; reactive power control; voltage control; 14-buses IEEE network; FACTS devices; UPFC placement; active power control; bus voltage control; decoupled model; genetic algorithm; optimal location determination; power systems; reactive power flow control; Genetic algorithms; Load flow; Power measurement; Power system measurements; Power system modeling; Power system simulation; Power systems; Reactive power control; Steady-state; Voltage control; Genetic Algorithm (GA) UPFC; Load Increasing; Loadability; Optimal Location; Power Flow (PF);
Conference_Titel :
Industrial Technology, 2006. ICIT 2006. IEEE International Conference on
Conference_Location :
Mumbai
Print_ISBN :
1-4244-0726-5
Electronic_ISBN :
1-4244-0726-5
DOI :
10.1109/ICIT.2006.372474
