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Application of Subjective and Objective Integrated Weightage (SOIW) Method for Decision-Making (MADM) in Distribution System

  • Sachin Gorakh KambleEmail author
  • Kinhal Vadirajacharya
  • Udaykumar Vasudeo Patil
Conference paper
  • 39 Downloads

Abstract

The term smart grid (SG) has been used by many government bodies and researchers, which refers to the new trend in the power industry to modernize and automate the existing power system. SG must utilize the assets optimally by making use of information, like equipment capacity; voltage drop; radial network structure; minimizing investment, operating costs, and energy loss; and reliability indices. One way to achieve this is to reroute or reconfigure the distribution system. The distribution system is reconfigured to choose a switching combination of branches of the system that optimize certain performance parameters of power supply while satisfying some specified constraints. In this chapter, the subjective and objective integrated weightage (SOIW) multiple attribute decision-making (MADM) method is proposed for finding the compromised best configuration and comparing it with other methods such as WSM, WPM, and TOPSIS. An example of the distribution system is presented in this chapter to demonstrate the validity and effectiveness of the method.

Keywords

Distribution system Reconfiguration Multiple attribute decision-making SOIW method, TOPSIS 

Abbreviations

AENS

Average energy not supplied

AHP

Analytic hierarchy process

CAIDI

Customer average interruption duration index

CAIFI

Customer average interruption frequency index

DM

Decision maker

DS

Distribution system

ELECTRE

Elimination and choice translating reality

MADM

Multiple attribute decision-making

Pi

Performance Index

SAIDI

System Average Interruption Duration Index

SAIFI

System Average Interruption Frequency Index

SG

Smart grid

SOIW

Subjective and objective integrated Weightage

TOPSIS

Technique for order preference by similarity to ideal solution

WPM

Weighted product method

WSM

Weighted sum method

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Copyright information

© Springer Nature Switzerland AG 2020

Authors and Affiliations

  • Sachin Gorakh Kamble
    • 1
    Email author
  • Kinhal Vadirajacharya
    • 1
  • Udaykumar Vasudeo Patil
    • 2
  1. 1.Dr. Babasaheb Ambedkar Technological UniversityLonereIndia
  2. 2.Government College of EngineeringKaradIndia

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