TY - GEN
T1 - Control strategy for multi-objective coordinate voltage control using hierarchical genetic algorithms
AU - Ma, H. M.
AU - Man, K. F.
AU - Hill, D. J.
PY - 2005
Y1 - 2005
N2 - Hierarchical genetic algorithm (HGA) is proposed for optimizing the power voltage control systems according to number of control actions. The advantage of HGA is its capability in control the parametric genes of chromosome. In this paper, we apply HGA to find out the optimal solution for coordinate voltage control in a simple six buses power system. The number of control actions is fixed from one to six by HGA. Because of the multi-objective classification of the obtained solutions, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of coordinate power control system. The application of the proposed paradigm is demonstrated through simulation and the results obtained suggested that the speed of voltage recovery in some degree related with the number of actions of control when emergency happened. The effective of control is influenced by the location of control devices and the system structure. © 2005 IEEE.
AB - Hierarchical genetic algorithm (HGA) is proposed for optimizing the power voltage control systems according to number of control actions. The advantage of HGA is its capability in control the parametric genes of chromosome. In this paper, we apply HGA to find out the optimal solution for coordinate voltage control in a simple six buses power system. The number of control actions is fixed from one to six by HGA. Because of the multi-objective classification of the obtained solutions, all these solutions could therefore form a landscape of control pattern which is aptly applicable to the control purpose of coordinate power control system. The application of the proposed paradigm is demonstrated through simulation and the results obtained suggested that the speed of voltage recovery in some degree related with the number of actions of control when emergency happened. The effective of control is influenced by the location of control devices and the system structure. © 2005 IEEE.
KW - Coordinate voltage control
KW - Hierarchical genetic algorithm
KW - Multi-objective optimization
KW - Pareto front
UR - http://www.scopus.com/inward/record.url?scp=33847328350&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-33847328350&origin=recordpage
U2 - 10.1109/ICIT.2005.1600628
DO - 10.1109/ICIT.2005.1600628
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 0780394844
SN - 9780780394841
VL - 2005
SP - 158
EP - 163
BT - Proceedings of the IEEE International Conference on Industrial Technology
T2 - 2005 IEEE International Conference on Industrial Technology, ICIT 2005
Y2 - 14 December 2005 through 17 December 2005
ER -