Title :
Optimal Location of UPFC in Power Systems for Increasing Loadability by Genetic Algorithm
Author :
Kazemi, A. ; Arabkhabori, D. ; Yari, M. ; Aghaei, J.
Author_Institution :
Iran Univ. of Sci. & Technol., Tehran
Abstract :
In this paper a genetic algorithm (GA) is used for determining optimal location of UPFC in power systems. Optimal location in this paper means finding line number for UPFC location and its parameters for specified number of UPFCs. UPFC is considered as a powerful FACTS device in this paper. Unlike other FACTS devices, UPFC has a great flexibility that can control the active and reactive powers and voltage, simultaneously. The system loadability is applied as a measure of power system performance. Injection model of UPFC is used in the simulation. The concept of simulation is the load flow incorporated with UPFC. Studies are performed on a 14-bus IEEE power system. The results show that steady state performance of the 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-bus IEEE power system; FACTS device; UPFC optimal location; active power control; genetic algorithm; load flow; power systems; reactive power control; unified power flow controller; voltage 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); Loadability; Optimal Location; Power Flow (PF); UPFC;
Conference_Titel :
Universities Power Engineering Conference, 2006. UPEC '06. Proceedings of the 41st International
Conference_Location :
Newcastle-upon-Tyne
Print_ISBN :
978-186135-342-9
DOI :
10.1109/UPEC.2006.367584
