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The Scientific World Journal
Volume 2013, Article ID 159040, 9 pages
http://dx.doi.org/10.1155/2013/159040
Research Article

Artificial Bee Colony Algorithm for Solving Optimal Power Flow Problem

1Faculty of Mechanical, Electrical and Electronic Engineering, HCMC University of Technology (HUTECH), Ho Chi Minh City, Vietnam
2Department of Power Systems, HCMC University of Technology (HCMUT), Ho Chi Minh City, Vietnam
3University Technology Petronas, 31750 Tronoh, Perak, Malaysia

Received 31 August 2013; Accepted 1 October 2013

Academic Editors: H. Chen and G. Pajares

Copyright © 2013 Luong Le Dinh 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.

Citations to this Article [14 citations]

The following is the list of published articles that have cited the current article.

  • D. Godwin Immanuel, G.Selva Kumar, and C. Christober Asir Rajan, “An Efficient Approach for Voltage Stability Improvement Based on Artificial Bee Colony Algorithm,” Advanced Materials Research, vol. 984-985, pp. 990–995, 2014. View at Publisher · View at Google Scholar
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  • Vijay Raviprabakaran, and Ravichandran Coimbatore Subramanian, “Enhanced ant colony optimization to solve the optimal power flow with ecological emission,” International Journal of System Assurance Engineering and Management, 2016. View at Publisher · View at Google Scholar
  • Hamid Saffari, Sadegh Sadeghi, Mohsen Khoshzat, and Pooyan Mehregan, “Thermodynamic analysis and optimization of a geothermal Kalina cycle system using Artificial Bee Colony algorithm,” Renewable Energy, vol. 89, pp. 154–167, 2016. View at Publisher · View at Google Scholar
  • A.N. Jha, B.K. Panigrahi, and Sheila Mahapatra, “Hybrid technique for optimal location and cost sizing of thyristor controlled series compensator to upgrade voltage stability,” IET Generation, Transmission & Distribution, 2016. View at Publisher · View at Google Scholar
  • Weng Kin Lai, Khoon Hee Chew, Kam Meng Goh, Ping Yong Chua, and Zee Him Phoon, “Image Multi-Thresholding to Characterise the Mechanical Stability of Rubber Latex Concentrate,” 2016 International Conference on Digital Image Computing: Techniques and Applications, DICTA 2016, 2016. View at Publisher · View at Google Scholar
  • Jirawadee Polprasert, Weerakorn Ongsakul, and Vo Ngoc Dieu, “Improved Pseudo-Gradient Search Particle Swarm Optimization for Optimal Power Flow Problem,” Sustaining Power Resources through Energy Optimization and Engineering, pp. 177–207, 2016. View at Publisher · View at Google Scholar
  • Olympia Roeva, “Application of Artificial Bee Colony Algorithm for Model Parameter Identification,” Innovative Computing, Optimization and Its Applications, vol. 741, pp. 285–303, 2017. View at Publisher · View at Google Scholar
  • Sadegh Sadeghi, Peyman Maghsoudi, Bahman Shabani, Hamid Haghshenas Gorgani, and Negar Shabani, “Performance analysis and multi-objective optimization of an organic Rankine cycle with binary zeotropic working fluid employing modified artificial bee colony algorithm,” Journal of Thermal Analysis and Calorimetry, 2018. View at Publisher · View at Google Scholar
  • Karthika, and V. Suresh Kumar, “Artificial Bee Colony Algorithm-Based Shunt Active Filter for Sinusoidal Supply and Trapezoidal Supply,” Journal of Circuits, Systems and Computers, vol. 27, no. 1, 2018. View at Publisher · View at Google Scholar