Title :
A Current-Based Security-Constrained Optimal Powe Flow by Multiple Particle Swarm Optimization
Author :
Huang, Cong-Hui ; Huang, Chung-Chi ; Tsao, Yi-Ming ; Lin, Kuan-Chen ; Xiao, Ying-Nan
Author_Institution :
Dept. of Autom. & Control Eng., Far East Univ., Tainan, Taiwan
Abstract :
An Equivalent Current Injection (ECI) based Security-Constrained Optimal Power Flow (SCOPF) is presented in this paper and a Multiple Particle Swarm Optimization (MPSO) is developed for solving non-convex Optimal Power Flow problem. The OPF deals with both continuous and discrete control variables and is a mixed-integer OPF. The continuous control variables modeled are the active power output and generator-bus voltage magnitudes, while the discrete ones are the shunt capacitor devices. And first, security Analysis will be conducted before fault occurred in the system. Ranking method will be used to highlight the most severe event caused by the specific facility. Than, a preventive algorithm will make use of the contingency information, and could be kept the operator system security and avoided congestion when fault occurred.
Keywords :
load flow control; particle swarm optimisation; power capacitors; power system security; continuous control variables; discrete control variables; equivalent current injection; generator-bus voltage magnitudes; mixed-integer OPF; multiple particle swarm optimization; nonconvex optimal power flow; operator system security; security constrained optimal power flow; shunt capacitor; Genetic algorithms; Jacobian matrices; Load flow; Particle swarm optimization; Security; Simulated annealing; equivalent current injection; mixed integer; multiple particle swarm optimization; optimal power flow; security-constrained OPF;
Conference_Titel :
Electrical and Control Engineering (ICECE), 2010 International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6880-5
DOI :
10.1109/iCECE.2010.768