Mathematical Problems in Engineering
Volume 2012 (2012), Article ID 376291, 19 pages
Research Article

A Parallel Implementation of Unscheduled Flow Control in Interconnected Power Systems

1Department of Computational Science and Engineering, Informatics Institute, Istanbul Technical University, Maslak, 34469 Istanbul, Turkey
2Department of Electrical Engineering, Electrical & Electronics Faculty, Istanbul Technical University, Maslak, 34469 Istanbul, Turkey

Received 27 November 2011; Revised 31 January 2012; Accepted 31 January 2012

Academic Editor: Jyh Horng Chou

Copyright © 2012 G. Ozdemir Dag and Mustafa Bagriyanik. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


The unscheduled power flow problem needs to be minimized or controlled as soon as possible in a deregulated power system since the transmission systems are mostly operated at their power-carrying limits or very close to it. The time spent for simulations to determine the current states of all the system and control variables of the interconnected power system is important. Taking necessary action in case of any failure of equipment or any other occurrence of an undesired situation could be critical. Using supercomputing facilities and parallel computing techniques together decreases the computation time greatly. In this study, a parallel implementation of a multiobjective optimization approach based on both genetic algorithms and fuzzy decision making to manage unscheduled flows is presented. Parallel computation techniques are applied using supercomputers (high-performance computers). The proposed method is applied to the IEEE 300 bus test system. Two different cases for some parameters of GA are considered to see the power of parallel computation technique. Then the simulation results are presented.