TY - GEN
T1 - A hybrid PSO technique for damping electro-mechanical oscillations in large power system
AU - Eslami, Mahdiyeh
AU - Shareef, Hussain
AU - Mohamed, Azah
AU - Khajehzadeh, Mohammad
PY - 2010
Y1 - 2010
N2 - In this paper, a hybrid optimization technique is presented to solve the well-known problem of tuning power system stabilizers' (PSSs) parameters. The hybrid technique is derived from particle swarm optimization (PSO) by adding the passive congregation model. The tuning of the PSS parameters is formulated as the multi-objective function with constraints including the damping ratio and damping factor. Maximizations of the damping factor and the damping ratio of power system modes are taken as the goals or two objective functions, when designing the PSS parameters. The New England 16-unit 68-bus standard power system, under various system configurations and operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the proposed PSO with passive Congregation (PSOPC) algorithm is very efficient in damping low frequency oscillations and improving the stability of power system.
AB - In this paper, a hybrid optimization technique is presented to solve the well-known problem of tuning power system stabilizers' (PSSs) parameters. The hybrid technique is derived from particle swarm optimization (PSO) by adding the passive congregation model. The tuning of the PSS parameters is formulated as the multi-objective function with constraints including the damping ratio and damping factor. Maximizations of the damping factor and the damping ratio of power system modes are taken as the goals or two objective functions, when designing the PSS parameters. The New England 16-unit 68-bus standard power system, under various system configurations and operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the proposed PSO with passive Congregation (PSOPC) algorithm is very efficient in damping low frequency oscillations and improving the stability of power system.
KW - Multi-objective optimization
KW - Particle swarm optimization
KW - Passive congregation
KW - PSS design
UR - http://www.scopus.com/inward/record.url?scp=79951966025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=79951966025&partnerID=8YFLogxK
U2 - 10.1109/SCORED.2010.5704050
DO - 10.1109/SCORED.2010.5704050
M3 - Conference contribution
AN - SCOPUS:79951966025
SN - 9781424486489
T3 - Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
SP - 442
EP - 447
BT - Proceeding, 2010 IEEE Student Conference on Research and Development - Engineering
T2 - 2010 8th IEEE Student Conference on Research and Development - Engineering: Innovation and Beyond, SCOReD 2010
Y2 - 13 December 2010 through 14 December 2010
ER -