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Journal of Optimization
Volume 2018, Article ID 6258350, 19 pages
Research Article

A Heuristic Approach for Optimal Planning and Operation of Distribution Systems

1Engineering and Natural Sciences Facility, Altinbas University, Istanbul, Turkey
2Department of Computer Science, Faculty of Sciences, University of Diyala, Diyala, Iraq

Correspondence should be addressed to Khalid Mohammed Saffer Alzaidi; moc.oohay@sm5002ahk

Received 3 January 2018; Revised 14 April 2018; Accepted 29 April 2018; Published 3 June 2018

Academic Editor: Wei Wei

Copyright © 2018 Khalid Mohammed Saffer Alzaidi et al. 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 efficient planning and operation of power distribution systems are becoming increasingly significant with the integration of renewable energy options into power distribution networks. Keeping voltage magnitudes within permissible ranges is vital; hence, control devices, such as tap changers, voltage regulators, and capacitors, are used in power distribution systems. This study presents an optimization model that is based on three heuristic approaches, namely, particle swarm optimization, imperialist competitive algorithm, and moth flame optimization, for solving the voltage deviation problem. Two different load profiles are used to test the three modified algorithms on IEEE 123- and IEEE 13-bus test systems. The proposed optimization model uses three different cases: Case 1, changing the tap positions of the regulators; Case 2, changing the capacitor sizes; and Case 3, integrating Cases 1 and 2 and changing the locations of the capacitors. The numerical results of the optimization model using the three heuristic algorithms are given for the two specified load profiles.