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Journal of Information Science and Engineering, Vol. 23 No. 6, pp. 1801-1816 (November 2007)

Optimal Power Flow Based on Hybrid Genetic Algorithm

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 Mnaouer, 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.

Keywords: optimal power flow, genetic algorithm, power systems, economic dispatch, Matpower software

Full Text () Retrieve PDF document (200711_10.pdf)

Received September 23, 2005; revised November 2, 2006; accepted January 9, 2007.
Communicated by John Yen and H. Y. Mark Liao.