TY - GEN
T1 - Effective hybrid optimization algorithm for power oscillation damping
AU - Eslami, Mahdiyeh
AU - Shareef, Hussain
AU - Mohamed, Azah
AU - Khajehzadeh, Mohammad
PY - 2013
Y1 - 2013
N2 - In this paper, a hybrid optimization method, GA-SQP, is presented in which the genetic algorithm (GA) is a stochastic method is combined with the sequential quadratic programming (SQP) method, which is a deterministic method. The power system stabilizers parameters tuning problem is converted to an optimization problem which is solved by hybrid GA-SQP optimization algorithm. The New England 10-unit 39-bus standard power system, under various operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the hybrid GA-SQP algorithm is very efficient in damping improvement of the power system.
AB - In this paper, a hybrid optimization method, GA-SQP, is presented in which the genetic algorithm (GA) is a stochastic method is combined with the sequential quadratic programming (SQP) method, which is a deterministic method. The power system stabilizers parameters tuning problem is converted to an optimization problem which is solved by hybrid GA-SQP optimization algorithm. The New England 10-unit 39-bus standard power system, under various operation conditions, is employed to illustrate the performance of the proposed method. The results are very encouraging and suggest that the hybrid GA-SQP algorithm is very efficient in damping improvement of the power system.
KW - Genetic algorithm
KW - Low frequency oscillation
KW - Power system stabilizer
KW - Sequential quadratic programming
UR - http://www.scopus.com/inward/record.url?scp=84872692104&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84872692104&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMR.622-623.1168
DO - 10.4028/www.scientific.net/AMR.622-623.1168
M3 - Conference contribution
AN - SCOPUS:84872692104
SN - 9783037855638
T3 - Advanced Materials Research
SP - 1168
EP - 1172
BT - Manufacturing Science and Technology III
T2 - 2012 3rd International Conference on Manufacturing Science and Technology, ICMST 2012
Y2 - 18 August 2012 through 19 August 2012
ER -