DocumentCode
2517027
Title
Market clearing considering power system security
Author
Azadani, E. Nasr ; Hosseinian, S.H. ; Moghani, J.
Author_Institution
EE Dept., Tehran Polytech., Tehran
fYear
2008
fDate
6-7 Oct. 2008
Firstpage
1
Lastpage
6
Abstract
In this paper, a new technique based on particle swarm optimization (PSO) is proposed to incorporate voltage stability limits into traditional optimal power flow (OPF) formulations. Two objective functions such as fuel cost and voltage stability margin (loadability) are considered to be optimized. In proposed method systempsilas maximum loading margin (loadability) is calculated by continuation power flow (CPF). Particle swarm optimization (PSO) is employed to solve the proposed multi-objective OPF problem. The proposed method allows system operators in order to control the desired level of system security via adjusting the weighting factors of the different objective functions directly. Simulation results for the IEEE 30-bus test system demonstrate the effectiveness of the PSO in solving multi-objective OPF problems.
Keywords
load flow; particle swarm optimisation; power markets; power system security; IEEE 30-bus test system; market clearing; maximum loading margin; particle swarm optimization; power system security; traditional optimal power flow; voltage stability limits; Ant colony optimization; Control systems; Electric variables control; Fuels; Load flow; Particle swarm optimization; Power system security; Power system stability; Steady-state; Voltage; Continuation Power Flow; Optimal Power Flow; Particle Swarm Optimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electric Power Conference, 2008. EPEC 2008. IEEE Canada
Conference_Location
Vancouver, BC
Print_ISBN
978-1-4244-2894-6
Electronic_ISBN
978-1-4244-2895-3
Type
conf
DOI
10.1109/EPC.2008.4763394
Filename
4763394
Link To Document