Journal
APPLIED SOFT COMPUTING
Volume 13, Issue 5, Pages 2364-2374Publisher
ELSEVIER
DOI: 10.1016/j.asoc.2013.01.024
Keywords
Optimal power flow; Improved harmony search; Sequential quadratic programming; Genetic algorithms
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Funding
- Thailand Research Fund through the Royal Golden Jubilee Ph.D. Program [PHD/0047/2551]
- Office of the National Research Council of Thailand
- Suranaree University of Technology [SUT7-711-54-12-57]
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This paper describes the improved harmony search method (IHS) to solve optimal power flow (OPF) problems. The harmony search is one of meta-heuristic search methods inspired by the improvisation of musicians developed by Geem (2001) [23]. The proposed algorithm was tested with five standard IEEE test systems (6-bus, 14-bus, 30-bus, 57-bus and 118-bus test systems). The tests were divided into smooth and non-smooth fuel-cost cases. The comparisons among solutions obtained by sequential quadratic programming (SQP), genetic algorithms (GA) and IHS were conducted. As revealed from the simulated results, the effectiveness of the IHS for solving OPF problems was confirmed. (C) 2013 Elsevier B. V. All rights reserved.
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