TY - GEN
T1 - Hybrid immune genetic method for dynamic reactive power optimization
AU - Liu, Fang
AU - Chung, C. Y.
AU - Wong, K. P.
AU - Yan, Wei
AU - Xu, Guoyu
PY - 2006/10
Y1 - 2006/10
N2 - In this paper, a hybrid optimization technique, in which immune genetic algorithm is combined with interior point method, is proposed for solving the dynamic reactive power optimization problem. The switching time limits of shunt capacitors and transformer tap ratios, which make the problem to be dynamic, are only related with discrete variables. In the proposed hybrid method, the immune genetic algorithm deals with the discrete variables, such as the adjustment schedules of shunt capacitors or transformer tap ratios; interior point method deals with the continuous variables, such as the voltage/reactive profiles of generators. An improved encoding scheme of the immune genetic algorithm is also introduced so that the time-related dynamic constraints of discrete variables can be satisfied automatically. The proposed method has been applied to IEEE 14 bus system over a 24-hour period to demonstrate its effectiveness.
AB - In this paper, a hybrid optimization technique, in which immune genetic algorithm is combined with interior point method, is proposed for solving the dynamic reactive power optimization problem. The switching time limits of shunt capacitors and transformer tap ratios, which make the problem to be dynamic, are only related with discrete variables. In the proposed hybrid method, the immune genetic algorithm deals with the discrete variables, such as the adjustment schedules of shunt capacitors or transformer tap ratios; interior point method deals with the continuous variables, such as the voltage/reactive profiles of generators. An improved encoding scheme of the immune genetic algorithm is also introduced so that the time-related dynamic constraints of discrete variables can be satisfied automatically. The proposed method has been applied to IEEE 14 bus system over a 24-hour period to demonstrate its effectiveness.
KW - Genetic algorithm
KW - Immune system
KW - Interior point method
KW - Nonlinear programming
KW - Optimal reactive power flow
UR - https://www.scopus.com/pages/publications/43549106327
U2 - 10.1109/ICPST.2006.321543
DO - 10.1109/ICPST.2006.321543
M3 - Conference article published in proceeding or book
AN - SCOPUS:43549106327
SN - 1424401119
SN - 9781424401116
T3 - 2006 International Conference on Power System Technology, POWERCON2006
BT - 2006 International Conference on Power System Technology, POWERCON2006
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2006 International Conference on Power System Technology, POWERCON2006
Y2 - 22 October 2006 through 26 October 2006
ER -