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

Shabbir Uddin, Sandeep Chakravorty, Amitava Ray and Karma Sonam Sherpa
Additional contact information
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

International Journal of Decision Support System Technology (IJDSST), 2018, vol. 10, issue 2, 65-79

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.

Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 18/IJDSST.2018040104 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jdsst0:v:10:y:2018:i:2:p:65-79

Access Statistics for this article

International Journal of Decision Support System Technology (IJDSST) is currently edited by Shaofeng Liu

More articles in International Journal of Decision Support System Technology (IJDSST) from IGI Global
Bibliographic data for series maintained by Journal Editor ().