TY - GEN
T1 - Fast identification of redundant transmission capacity constraints with changeable power and load injections
AU - Zhai, Qiaozhu
AU - Yuan, Wei
AU - Lei, Xuejiao
AU - Li, Xuan
AU - Guan, Xiaohong
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2015/3/2
Y1 - 2015/3/2
N2 - Line flow constraints or transmission capacity constraints are among the most important constraints in power systems generation scheduling and system reliability evaluation problems. For real world systems, there are usually a very large number of transmission capacity constraints and this is one of the main difficulties in solving the related problems. However, it has been found that many of the transmission capacity constraints are redundant, i.e., feasible region and optimal solution of the related problem will not be changed if the redundant constraints are eliminated from the problem formulation. The solution efficiency of any method, whereas, will be greatly improved when the redundant constraints are removed. Approaches for identifying the redundant constraints have been reported in literature and a revised method is established in this paper. The new method can be used to quickly identify the redundant constraints in systems with changeable power and load injections. Compared with the reported methods, the new method is much easier to be understood and implemented. Numerical testing is performed and it is found that the new method is efficient.
AB - Line flow constraints or transmission capacity constraints are among the most important constraints in power systems generation scheduling and system reliability evaluation problems. For real world systems, there are usually a very large number of transmission capacity constraints and this is one of the main difficulties in solving the related problems. However, it has been found that many of the transmission capacity constraints are redundant, i.e., feasible region and optimal solution of the related problem will not be changed if the redundant constraints are eliminated from the problem formulation. The solution efficiency of any method, whereas, will be greatly improved when the redundant constraints are removed. Approaches for identifying the redundant constraints have been reported in literature and a revised method is established in this paper. The new method can be used to quickly identify the redundant constraints in systems with changeable power and load injections. Compared with the reported methods, the new method is much easier to be understood and implemented. Numerical testing is performed and it is found that the new method is efficient.
KW - Linear programming
KW - Optimal power flow
KW - Redundant constraints
KW - Transmission capacity constraints
UR - https://www.scopus.com/pages/publications/84932091366
U2 - 10.1109/WCICA.2014.7053231
DO - 10.1109/WCICA.2014.7053231
M3 - 会议稿件
AN - SCOPUS:84932091366
T3 - Proceedings of the World Congress on Intelligent Control and Automation (WCICA)
SP - 3139
EP - 3143
BT - Proceeding of the 11th World Congress on Intelligent Control and Automation, WCICA 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 11th World Congress on Intelligent Control and Automation, WCICA 2014
Y2 - 29 June 2014 through 4 July 2014
ER -