EN
IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS
Abstract
In this paper two conventional random search methods that are Genetic Algorithm and Immune Genetic Algorithm has been compared in optimal power flow problem in power system. The IEEE 14-bus test system has been selected as case study. This comparison has been done in equal conditions for two algorithms. Objective function in this problem is the minimization of cost of network losses and the cost of reactive power injection in the period of five years. Control variables are voltage magnitude of generator buses, active power of generators and reactive power injection of load buses. The results show that the IGA is more accurate than the GA and global optimal solutions can be found by the IGA. Keywords: Immune Genetic, Genetic Algorithm, Optimal Power Flow, Losses.
Keywords
Details
Primary Language
English
Subjects
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Journal Section
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Publication Date
January 20, 2012
Submission Date
January 20, 2012
Acceptance Date
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Published in Issue
Year 2010 Volume: 10 Number: 2
APA
Hoseınıan, H., Lafzı, A., & Galvanı, S. (2012). IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS. IU-Journal of Electrical & Electronics Engineering, 10(2), 1229-1234. https://izlik.org/JA48ZD96XA
AMA
1.Hoseınıan H, Lafzı A, Galvanı S. IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS. IU-Journal of Electrical & Electronics Engineering. 2012;10(2):1229-1234. https://izlik.org/JA48ZD96XA
Chicago
Hoseınıan, Hadi, Amin Lafzı, and Sadjad Galvanı. 2012. “IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS”. IU-Journal of Electrical & Electronics Engineering 10 (2): 1229-34. https://izlik.org/JA48ZD96XA.
EndNote
Hoseınıan H, Lafzı A, Galvanı S (January 1, 2012) IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS. IU-Journal of Electrical & Electronics Engineering 10 2 1229–1234.
IEEE
[1]H. Hoseınıan, A. Lafzı, and S. Galvanı, “IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS”, IU-Journal of Electrical & Electronics Engineering, vol. 10, no. 2, pp. 1229–1234, Jan. 2012, [Online]. Available: https://izlik.org/JA48ZD96XA
ISNAD
Hoseınıan, Hadi - Lafzı, Amin - Galvanı, Sadjad. “IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS”. IU-Journal of Electrical & Electronics Engineering 10/2 (January 1, 2012): 1229-1234. https://izlik.org/JA48ZD96XA.
JAMA
1.Hoseınıan H, Lafzı A, Galvanı S. IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS. IU-Journal of Electrical & Electronics Engineering. 2012;10:1229–1234.
MLA
Hoseınıan, Hadi, et al. “IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS”. IU-Journal of Electrical & Electronics Engineering, vol. 10, no. 2, Jan. 2012, pp. 1229-34, https://izlik.org/JA48ZD96XA.
Vancouver
1.Hadi Hoseınıan, Amin Lafzı, Sadjad Galvanı. IMMUNE GENETIC ALGORITHM PERFORMANCE IN OPTIMIZATION OF POWER FLOW IN POWER SYSTEMS. IU-Journal of Electrical & Electronics Engineering [Internet]. 2012 Jan. 1;10(2):1229-34. Available from: https://izlik.org/JA48ZD96XA