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Optimal Power Distribution System Planning and Analysis Using Q-GIS and Soft Computing

Author

Listed:
  • Shabbiruddin

    (Sikkim Manipal Institute of Technology, Sikkim Manipal University, Gangtok, India)

  • Sandeep Chakravorty

    (Indus University, Ahmedabad, India)

  • Karma Sonam Sherpa

    (Sikkim Manipal University, Gangtok, India)

  • Amitava Ray

    (Jalpaiguri Government Engineering College, Jalpaiguri, India)

Abstract

The selection of power sub-station location and distribution line routing in power systems is one of the important strategic decisions for both private and public sectors. In general, contradictory factors such as availability, and cost, affects the appropriate selection which adheres to vague and inexact data. The work presented in this research deals with the development of models and techniques for planning and operation of power distribution system. The work comprises a wider framework from the siting of a sub-station to load flow analysis. Work done also shows the application of quantum- geographic information system (Q-GIS) in finding load point coordinates and existing sub-station locations. The proposed integrated approach provides realistic and reliable results, and facilitates decision makers to handle multiple contradictory decision perspectives. To accredit the proposed model, it is implemented for power distribution planning in Bihar which consists of 9 divisions. A Cubic Spline Function-based load flow analysis method is developed to validate the proposal.

Suggested Citation

  • Shabbiruddin & Sandeep Chakravorty & Karma Sonam Sherpa & Amitava Ray, 2020. "Optimal Power Distribution System Planning and Analysis Using Q-GIS and Soft Computing," International Journal of Decision Support System Technology (IJDSST), IGI Global, vol. 12(1), pages 70-83, January.
    • Handle: RePEc:igg:jdsst0:v:12:y:2020:i:1:p:70-83
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