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Cuckoo Optimization Algorithm for Optimal Power Flow

  • Conference paper
Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1

Part of the book series: Proceedings in Adaptation, Learning and Optimization ((PALO,volume 1))

Abstract

This paper proposes a cuckoo optimization algorithm (COA) method for solving optimal power flow (OPF) problem. The proposed method is inspired from the life of the family of cuckoo. In the proposed method, there are two main components including mature cuckoos and cuckoo’s eggs. During the survival competition, the survived cuckoo societies immigrate to a better environment and restart the process. The cuckoo’s survival effort hopefully converges to a state that there is only one cuckoo society with the same maximum profit values. The COA method has been tested on the IEEE 30, 57, and 118- bus systems with three kinds of objective function and the obtained results have been compared to those from conventional particle swarm optimization (PSO) method. The result comparison has shown that the proposed method can obtain better optimal solution than the conventional PSO. Therefore, the proposed COA could be a useful method for implementation in solving the OPF problem.

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Author information

Authors and Affiliations

  1. Department of Power Systems, HCMC University of Technology, Ho Chi Minh City, Vietnam

    Tu Nguyen Le Anh & Dieu Ngoc Vo

  2. Energy Field of Study, Asian Institute of Technology, Pathumthani, 12120, Thailand

    Weerakorn Ongsakul

  3. Department of Fundamental and Applied Sciences, Universiti Teknologi Petronas, 31750, Tronoh, Perak, Malaysia

    Pandian Vasant

  4. Department of Chemical Engineering, Universiti Teknologi Petronas, 31750, Tronoh, Perak, Malaysia

    Timothy Ganesan

Authors
  1. Tu Nguyen Le Anh
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  2. Dieu Ngoc Vo
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  3. Weerakorn Ongsakul
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  4. Pandian Vasant
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  5. Timothy Ganesan
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Corresponding author

Correspondence to Tu Nguyen Le Anh .

Editor information

Editors and Affiliations

  1. Department of Infomatics, Kindai University, Faculty of Science and Technology, Higashi-Osaka, Japan

    Hisashi Handa

  2. Department of Computer Science and Intelligent Systems, Osaka Prefecture University, Osaka, Japan

    Hisao Ishibuchi

  3. School of Computer Engineering, Nanyang Technological University, Singapore, Singapore

    Yew-Soon Ong

  4. Department of Electrical and Computer Engineering, National University of Singapore, Singapore, Singapore

    Kay Chen Tan

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Anh, T.N.L., Vo, D.N., Ongsakul, W., Vasant, P., Ganesan, T. (2015). Cuckoo Optimization Algorithm for Optimal Power Flow. In: Handa, H., Ishibuchi, H., Ong, YS., Tan, K. (eds) Proceedings of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems, Volume 1. Proceedings in Adaptation, Learning and Optimization, vol 1. Springer, Cham. https://doi.org/10.1007/978-3-319-13359-1_37

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  • DOI: https://doi.org/10.1007/978-3-319-13359-1_37

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-13358-4

  • Online ISBN: 978-3-319-13359-1

  • eBook Packages: EngineeringEngineering (R0)

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