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Optimal Location of Sub-Station Using Q-GIS and Multi-Criteria Decision Making Approach

Author

Listed:
  • Shabbir Uddin

    (Department of Electrical and Electronics Engineering, Sikkim Manipal Institute of Technology, Rangpo, India)

  • Sandeep Chakravorty

    (Department of Electrical Engineering, Indus University, Ahmedabad, India)

  • Amitava Ray

    (Department of Mechanical Engineering, Jalpaiguri Government Engineering College, Jalpaiguri, India)

  • Karma Sonam Sherpa

    (Sikkim Manipal Institute of Technology, Rangpo, India)

Abstract

In this article, methodologies have been proposed for site selection of sub-station considering technical and non-technical constraints. Firstly, a systematic frame has been developed considering various factors that influence the optimal location of the sub-station. Various factors considered are evaluated using DEMATEL-QFD. An evaluation has been done between the outcome of the TOPSIS (Technique for order preference by similarity to ideal solution) method and the COPRAS (Compressed Proportional Assessment) method. Finally, Spearman rank co-relation co-efficients indicates the strength of association of both the methodologies. A case study is done using GIS to prove the justification of the methodologies to the applied area. The application of the methodologies will help the decision maker improve the plan, location and grid renovation of the distribution sub-stations.

Suggested Citation

  • Shabbir Uddin & Sandeep Chakravorty & Amitava Ray & Karma Sonam Sherpa, 2018. "Optimal Location of Sub-Station Using Q-GIS and Multi-Criteria Decision Making Approach," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 10(2), pages 65-79, April.
    • Handle: RePEc:igg:jdsst0:v:10:y:2018:i:2:p:65-79
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    Cited by:

    1. Yi Chen & Feng Dai & Mengjuan Cao, 2021. "An optimized MSW transfer station location system based on internet of things," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(4), pages 675-688, August.
    2. Pavlos Delias & Daniela Grigori, 2021. "Two Problem Formulations for Process Innovation Based on Operations Sophistication," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 13(1), pages 1-18, January.

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