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Optimum Sub-station Positioning Using Hierarchial Clustering

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Book cover Advances in Computing and Information Technology

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 177))

Abstract

Selection of optimum location of a sub-station and distribution of load points to each available sub-station has been a major concern among researchers but all have made either the use of man machine interface or have made some approximations. Here in this paper, a soft computing approach Hierarchial Clustering method is used for grouping the various load points as per the number of distribution sub-stations available. The method further gives an optimum location of the distribution sub-station taking into aspects the distances of the various load points that it is feeding. The results of the discussed technique will lead to a configuration of distribution substations depending on the no. of load points and sub-stations required. It will have an effect of lowering the long range distribution expenses as it will lead to optimum feeder path. The application of the proposed methodology to a case study is presented.

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Author information

Authors and Affiliations

  1. Department of Electrical & Electronics Engg., Sikkim Manipal Institute of Technology, Manipal, Sikkim, India

    Shabbiruddin

  2. School of Electronics & Electrical Engg., Lovely Professional University, Jalandhar-Delhi, Punjab, India

    Sandeep Chakravorty

  3. Department of Mechanical Engg., Sikkim Manipal Institute of Technology, Manipal, Sikkim, India

    Amitava Ray

Authors
  1. Shabbiruddin
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  2. Sandeep Chakravorty
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  3. Amitava Ray
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Corresponding author

Correspondence to Shabbiruddin .

Editor information

Editors and Affiliations

  1. , Department of Computer Science, Jackson State University, John R. Lynch Street 1400, Jackson, 39217, USA

    Natarajan Meghanathan

  2. Wireilla Net Solutions PTY Ltd, Melbourne, Australia

    Dhinaharan Nagamalai

  3. Department of Computer Science & Eng., University of Calcutta, Calcutta, 700 073, India

    Nabendu Chaki

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Shabbiruddin, Chakravorty, S., Ray, A. (2013). Optimum Sub-station Positioning Using Hierarchial Clustering. In: Meghanathan, N., Nagamalai, D., Chaki, N. (eds) Advances in Computing and Information Technology. Advances in Intelligent Systems and Computing, vol 177. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31552-7_42

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  • DOI: https://doi.org/10.1007/978-3-642-31552-7_42

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31551-0

  • Online ISBN: 978-3-642-31552-7

  • eBook Packages: EngineeringEngineering (R0)

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