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Load Flow Solution for Radial Distribution Networks Using Chaotic Opposition Based Whale Optimization Algorithm

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Computational Intelligence in Communications and Business Analytics (CICBA 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1955))

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Abstract

A radial network is one that traverses a network without connecting to another source of supply. It is utilised for remote loads, such as in rural areas. For the load flow analysis of radial distribution systems, various forward-backward sweep techniques exist. This study explains a novel approach to load flow analysis for radial distribution systems. Encouraged by whales’ use of bubble-net hunting, WOA imitates humpback. The suggested technique is applied on IEEE 33-bus and IEEE 69-bus balanced radial distribution test networks to validate performance in tackling the described problem. The results show that the suggested approach produces workable and efficient solutions and may be successfully substituted for in real-world power systems for radial network load flow analysis. Additionally, to the best of the authors’ knowledge, this is the first report on the use of WOA in resolving the optimal DG.

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Authors and Affiliations

  1. Kalyani Government Engineering College, Kalyani, West Bengal, India

    Suvabrata Mukherjee & Provas Kumar Roy

Authors
  1. Suvabrata Mukherjee
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  2. Provas Kumar Roy
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Correspondence to Suvabrata Mukherjee .

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Editors and Affiliations

  1. Kalyani Government Engineering College, Kalyani, India

    Kousik Dasgupta

  2. Assam University, Silchar, India

    Somnath Mukhopadhyay

  3. University of Kalyani, Kalyani, West Bengal, India

    Jyotsna K. Mandal

  4. Visvabharati University, Santiniketan, West Bengal, India

    Paramartha Dutta

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Mukherjee, S., Roy, P.K. (2024). Load Flow Solution for Radial Distribution Networks Using Chaotic Opposition Based Whale Optimization Algorithm. In: Dasgupta, K., Mukhopadhyay, S., Mandal, J.K., Dutta, P. (eds) Computational Intelligence in Communications and Business Analytics. CICBA 2023. Communications in Computer and Information Science, vol 1955. Springer, Cham. https://doi.org/10.1007/978-3-031-48876-4_7

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  • DOI: https://doi.org/10.1007/978-3-031-48876-4_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-48875-7

  • Online ISBN: 978-3-031-48876-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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