Comparison of the evolutionary algorithm's performances on power flow analysis
Abstract
Power
flow in energy systems is one of the major problems. Several classical analysis
methods are utilized for solving this problem. However, power generation
limits, valve loading effects of units also makes the power flow problem become
much harder to solve in the system. In this case, it is possible to achieve the
most appropriate solutions with evolutionary algorithms. In this study, optimal
power flow problems are solved under same beginning conditions, comprehensively
performed with evolutionary algorithms which are recently used and associated
algorithm performance is analyzed in IEEE 30-bus test system for two cases.
Energy gains of algorithms are obtained; the best, worst and mean values found
from optimization are evaluated; convergence analyses are performed
comparatively. Thus the effectiveness and efficiency of evolutionary algorithms
are clearly demonstrated on solution of optimal power flow problems.
Keywords
References
- Carpentier J. "Contribution to the economic dispatch problem". Bulletin de la Societe Francoise des Electriciens, 3(8), 431-447, 1962.
- Sun DI, Ashley B, Brewer B, Hughes, A, Tinney W. "Optimal power flow by newton approach". IEEE Transaction on Power Apparatus and Systems, 103(10), 2864-2880, 1984.
- Habiabollahzadeh H, Luo GX, Semlyen A. “Hydrothermal optimal power flow based on combined linear and nonlinear programming methodology”. IEEE Transaction on Power Apparatus and Systems, 4(2), 530-537, 1989.
- Momoh JA, El-Hawary ME, Adapa R. “A review of selected optimal power flow literature to 1993. II. Newton, linear programming and interior point methods”. IEEE Transactions Power Systems, 14, 105-111, 1999.
- Bakistzis A, Biskas P, Zoumas C, Petridis V. "Optimal power flow by enhanced genetic algorithm". IEEE Transaction on Power Systems, 17, 229-236, 2002.
- Abou EEA, Abido M, Spea S. "Optimal power flow using differential evolution algorithm". Electrical Engineering, 91(2), 69-78, 2009.
- Abido M. "Optimal power flow using particle swarm optimization". International Journal of Electrical Power & Energy Systems, 24(7), 563-571, 2002.
- Roa-Sepulveda C, Pavez-Lazo B. "A solution to the optimal power flow using simulated annealing". International Journal of Electrical Power & Energy Systems, 25(1), 47-57, 2003.
Details
Primary Language
English
Subjects
Engineering
Journal Section
Research Article
Authors
Yiğit Çağatay Kuyu
This is me
0000-0002-7054-3102
Publication Date
April 30, 2018
Submission Date
February 1, 2016
Acceptance Date
-
Published in Issue
Year 2018 Volume: 24 Number: 2