Title :
Optimal placement and sizing of multiple FACTS devices installation
Author :
Jumaat, S.A. ; Musirin, I. ; Othman, M.M. ; Mokhlis, H.
Author_Institution :
Fac. of Electr. & Electron. Eng., Univ. Tun Hussein Onn Malaysia (UTHM), Parit Raja, Malaysia
Abstract :
This paper presents optimal placement and sizing of multiple FACTS devices based on computational intelligence techniques. In this study, particle swarm optimization (PSO) and Evolutionary Programming (EP) approach is proposed to minimize the transmission loss in the power system with flexible AC transmission systems (FACTS) devices. Two types of FACTS are used: static var compensator (SVC) and thyristors controlled series compensator (TCSC) are two FACTS devices chosen for the optimal installation for compensation purposes due to reported promising performances of the devices. Experiment results on the IEEE 30 bus system with FACTS devices show that the proposed PSO approach can obtain better solutions than EP technique.
Keywords :
evolutionary computation; flexible AC transmission systems; particle swarm optimisation; static VAr compensators; thyristor applications; EP approach; IEEE 30 bus system; PSO approach; SVC; TCSC; computational intelligence techniques; evolutionary programming approach; flexible AC transmission systems; multiple FACTS device installation optimal placement; multiple FACTS device installation sizing; particle swarm optimization; power system; static var compensator; thyristors controlled series compensator; transmission loss minimization; Load flow; Mathematical model; Power capacitors; Propagation losses; Static VAr compensators; Thyristors; cost of installation; particle swarm optimization; static var compensator; transmission loss; tyristor controlled series compensator;
Conference_Titel :
Power and Energy (PECon), 2012 IEEE International Conference on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4673-5017-4
DOI :
10.1109/PECon.2012.6450195