TY - GEN
T1 - Gradient-based artificial bee colony for damping controllers design
AU - Eslami, Mahdiyeh
AU - Shareef, Hussain
AU - Mohamed, Azah
AU - Khajehzadeh, Mohammad
PY - 2013
Y1 - 2013
N2 - A novel optimization algorithm by combining the artificial bee colony (ABC) algorithm and the sequential quadratic programming (SQP), that is the gradient based ABC algorithm, is presented to resolve the problems of global optimization and inter-area oscillations damping in power system. The proposed algorithm merges the global exploration ability of the artificial bee colony to converge quickly to a near optimum resolution, and the correct local exploitation capacity of the sequential quadratic programming to accelerate the search process and discover a correct solution. To show the feasibility and efficiency of the new method, numerical result is investigated on the New England system by tuning a power system stabilizer and a controller for the static VAR compensator. The proposed gradient based ABC algorithm is compared with ABC. The simulations studies demonstrate that the proposed algorithm based designed damping controllers perform better than controller designed by ABC.
AB - A novel optimization algorithm by combining the artificial bee colony (ABC) algorithm and the sequential quadratic programming (SQP), that is the gradient based ABC algorithm, is presented to resolve the problems of global optimization and inter-area oscillations damping in power system. The proposed algorithm merges the global exploration ability of the artificial bee colony to converge quickly to a near optimum resolution, and the correct local exploitation capacity of the sequential quadratic programming to accelerate the search process and discover a correct solution. To show the feasibility and efficiency of the new method, numerical result is investigated on the New England system by tuning a power system stabilizer and a controller for the static VAR compensator. The proposed gradient based ABC algorithm is compared with ABC. The simulations studies demonstrate that the proposed algorithm based designed damping controllers perform better than controller designed by ABC.
UR - http://www.scopus.com/inward/record.url?scp=84882760483&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84882760483&partnerID=8YFLogxK
U2 - 10.1109/PEOCO.2013.6564560
DO - 10.1109/PEOCO.2013.6564560
M3 - Conference contribution
AN - SCOPUS:84882760483
SN - 9781467350730
T3 - Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013
SP - 293
EP - 297
BT - Proceedings of the 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013
T2 - 2013 IEEE 7th International Power Engineering and Optimization Conference, PEOCO 2013
Y2 - 3 June 2013 through 4 June 2013
ER -