| Previous | [ 1] | [ 2] | [ 3] | [ 4] | [ 5] | [ 6] | [ 7] | [ 8] | [ 9] | [ 10] | [ 11] | [ 12] | [ 13] | [ 14] | [ 15] | [ 16] | [ 17] | [ 18] | [ 19] | [ 20] |
¡@
M. Younes, M. Rahli and L. Abdelhakem-Koridak
Power Systems Optimization Laboratory
Faculty of Electrical Engineering
University of Science and Technology of Oran
Oran El M¡¦naouer, Oran, 31000 Algeria
E-mail: {younesmi; rahlim; hkoridak}@yahoo.fr
Optimal Power Flow (OPF) is one of the main functions of Power Generation Operation
and Control. It determines the optimal settings of generating units, bus voltage,
and transformer tap and shunt elements in Power System with the objective of minimizing
total production costs or losses while the system is operating within its security limits.
The aim of this paper is to propose a methodology (GA-Matpower-OPF) that solves OPF
including both active and reactive power dispatches. It is based on combining the Genetic
Algorithm (GA) to obtain a near global solution, and the package of Matlab m-files
for solving power flow and optimal power flow problems (Matpower) to determine the
optimal global solution. This method was tested on the modified IEEE 57 bus test system.
The results obtained by this method are compared with those obtained with GA or Matpower
separately.
Received September 23, 2005; revised November 2, 2006; accepted January 9, 2007.
Communicated by John Yen and H. Y. Mark Liao.