Title :
Maximizing transmission capacity through a minimum set of distributed multi-type FACTS
Author :
Ghahremani, E. ; Kamwa, I.
Author_Institution :
Dept. of Electr. & Comput. Eng., Laval Univ., Québec, QC, Canada
Abstract :
The Flexible AC Transmission Systems (FACTS) devices can help the power system networks to reduce power flows on overloaded lines, resulting in increased system loadability, lower transmission line losses, improved power system stability and security, reduced power production costs, and more secure bus voltage levels. This paper presents a genetic algorithm (GA) based optimization process, for seeking optimal locations and parameters for multi-type FACTS devices in power systems. The optimization process is designed to maximize the power transmitted by the network. Five different FACTS devices are considered: SVC, TCSC, TCVR, TCPAR and UPFC. The simulation results show the effectiveness of the proposed optimization process in determining optimal placement of FACTS devices in several test networks.
Keywords :
flexible AC transmission systems; genetic algorithms; power overhead lines; power system security; power system stability; GA based optimization process; SVC; TCPAR; TCSC; TCVR; UPFC; bus voltage levels; distributed multitype FACTS; flexible AC transmission systems devices; genetic algorithm; overloaded lines; power flows reduction; power production costs reduction; power system networks; power system security improvement; power system stability improvement; system loadability; test networks; transmission capacity maximization; transmission line losses; Genetic algorithms; Load flow; Power capacitors; Sociology; Static VAr compensators; Statistics; Thyristors; FACTS Devices; Maximum Loadability; Minimizing Transmission Line Losses; Optimal Placement; Power System Loadability;
Conference_Titel :
Power and Energy Society General Meeting, 2012 IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4673-2727-5
Electronic_ISBN :
1944-9925
DOI :
10.1109/PESGM.2012.6343906
