Active power loss minimization in electric power systems through artificial bee colony algorithm

International Review of Electrical Engineering

Volumn 5, Issue 5, 2010, Pages 2217-2223

  Cobanli S ^a   Ozturk A ^a   Guvenc U ^a   Tosun, S ^a  

^a DUZCE UNIVERSITY   (Turkey)

Author keywords

Artificial bee colony algorithm; Optimization; Power systems

Indexed keywords

EID: 79956137257     PISSN: 18276660     EISSN: 25332244     Source Type: Journal    
DOI: None     Document Type: Article

References (33)

1. rd International Conference on Intelligent System and Knowledge Engineering, Proceedings of 2008, pp. 862-866 Xiamen 2008.
2. S. Durairaj, B., Fox, Evolutionary Computation Based Reactive Power Optimization, IET-UK International Conference on Information and Communication Technology in Electrical Sciences (ICTES 2007), pp. 120-125, Chennai Tamilnadu, India 2008.
3. J. Hazra1, A.K. Sinha, A Study on Real and Reactive Power Optimization using Particle Swarm Optimization, Second International Conference on Industrial and Information Systems, ICIIS 2007, pp. 323-328, Penadediya 8 - 11 August 2007, Sri Lanka.
4. L. Dan, G. Liqun, L. Shun, M. Jia and L. Yang Adaptive Particle Swarm Optimization Algorithm for Power System Reactive Power Optimization, Proceedings of the 2007 American Control Conference Marriott Marquis Hotel at Times Square New York City, USA, July 11-13, 2007.
5. H. Wei, X. Chunli, Z. Jianhua, and H. Shanang, Study of Reactive Power Optimization Based on Immune Genetic Algorithm, Transmission and Distribution Conference and Exposition, 2003 IEEE PES,pp. 186-190 vol. 1, Sept. 2003.
6. th international conference on deregulation and restructuring and power technologies (DRPT 2008) pp.798-803 6-9 April Nanjing China, 2008.
7. th international conference on deregulation and restructuring and power technologies (DRPT 2008) pp.771-774 6-9 April Nanjing China, 2008.
8. th international conference on deregulation and restructuring and power technologies (DRPT 2008) pp.1009-1013,6-9 April Nanjing China, 2008.
9. H. Wei, Z. Cong, Y. Jingyan, Z. Jianhua, L. Zifa, W. Zhilian, and P. Dongli, Using Bacterial Chemotaxis Method for Reactive Power Optimization, Transmission and Distribution Conference and Exposition, pp.1-7, 2008, Chicago, IL.
10. th international conference on deregulation and restructuring and power technologies (DRPT 2008) pp.2856-2861, 6-9 April Nanjing China, 2008.
11. th international conference on deregulation and restructuring and power technologies (DRPT 2008) pp.1318-1324, 6-9 April Nanjing China, 2008.
12. Z. Liu, D. Zhao, X. Zhang, B. Dan, and F. Guan, Reactive Power Optimization in Power System Based on Chaos Ant Colony Algorithm, Sustainable Power Generation and Supply, 2009. SUPERGEN '09. International Conference, pp.1-4, Nanjing April 2009.
13. K. Lenin, M.R. Mohan, Ant Colony Search Algorithm for Optimal Reactive Power Optimization, Serbian Journal Of Electrical Engineering Vol. 3, No. 1, June, pp. 77-88, 2006.
14. K. Liu, W. Sheng W. and Y. Li, Research on Reactive Power Optimization based on Adaptive Genetic Simulated Annealing Algorithm, Lecture Notes in Computer Science 2006: 600-611.
15. W. Zhang, and Y. Liu, Fuzzy Logic Controlled Particle Swarm for Reactive Power Optimization Considering Voltage Stability, The7th International Power Engineering Conference, 2005. IPEC pp. 551-555, Singapore, 2005.
16. X. Xiangzheng, Research on Reactive Power Optimizing Control Based on Immune Algorithms, The Eighth International Conference on Electronic Measurement and Instruments ICEMI, pp vol 3,898-901, Xi'an 2007.
17. S. Chettih, M. Khiat, A. Chaker, Means Optimization of Reactive Power Compensation Using the Particle Swarm Optimization PSO Method: Application in the Western Algerian Transmission System, International Review of Electrical Engineering, 2009 4(4) pp:622-626.
18. F. Laouafi, A. Boukadoum, S. Leulmi, Reactive Power Dispatch with Hybrid Formulation: Particle Swarm Optimization and Improved Genetic Algorithms with Real Coding International Review of Electrical Engineering, 2010 5(2) pp:601-607.
19. Rahiel, D.; Mounir, K.; Chaker, A.; Haimour, R. Reactive Power Optimization in Transmission Power System Using Interior Point Method International Review of Electrical Engineering 2010 5(2) 614-618.
20. M. A. Khorsand, H. Heydari, Multiobjective Augmented Eps- constraint Optimization for Economic/Environmental Stochastic Unit Commitment in Power Systems with High Penetration of Wind Power, International Review of Electrical Engineering 2010 5(4) pp:1685-1694.
21. D. Karaboga, and B. Bastürk, A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm, J Global Optim 2007; 39(3): 459-71.
22. D. Karaboga, D. And B. Bastürk, On the performance of artificial bee colony (ABC) algorithm Applied Soft Computing 2008;8(1): 687-97.
23. D. Karaboga, and B. Bastürk, Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems, Foundations of Fuzzy Logic and Soft Computing 4529(2007) 789-798, Springer-Verlag, Berlin, 2007.
24. N. Karaboǧa, A new design method based on artificial bee colony algorithm for digital IIR filters, Journal of the Franklin Institute 346(2009) 328-348.
25. R.S. Rao, S.V.L. Narasimham, M. Ramalingaraju, Optimization of Distribution Network Configuration for Loss Reduction Using Artificial Bee Colony Algorithm, World Academy of Science, Engineering and Technology 45 2008
26. S.L. Sabat, S.K. Udgata, A. Abraham, Artificial bee colony algorithm for small signal model parameter extraction of MESFET, Engineering Applications of Artificial Intelligence, Elsevier pp.1-6, 2010.
27. F. Kang, J. Li, and Q. Xu, Structural inverseanalysis by hybrid simplex artificial bee colony algorithms, Computers and Structures, 87(2009) 861-870.
28. H. Quan, and X. Shi, On the Analysis of Performance of the Improved Artificial Bee Colony Algorithm, Furth International conference on Natural Computation.pp.654-658,2008.
29. L. Bao, and J. Zeng, Comparison and Analysis of the selection Mechanism in the Articial Bee Colony Algorithm, Ninth International Conference on Hybrid Intelligent Systems, pp.411-416, Shenyang, 2009.
30. A. Singh, An artificial bee colony algotihm for the leaf- constrained minumum spanning tree problem, Applied Soft Computing 2009;9: 625-631.
31. B. Allaoua, A. Singh, Collective Intelligence for Optimal Power Flow SolutionUsingAntColonyOptimization, Leonardo Electronic Journal of Practices and Technologies, 7:13 (July-December), 2008, p. 88-105.
32. A. H. Mantawy M. S. Al-Ghamdi, A New Reactive Power Optimization Algorithm, IEEE Bologna Power Tech Conference, June 23th-26th, Bologna, Italy, 2003.
33. D. Li, L. Gao, J. Zhang, and Y. Li, Power System Reactive Power Optimization Based on Adaptive Particle Swarm Optimization Algorithm, Proceedings of the 6th World Congress on Intelligent Control and Automation, Dalian, China 2006.