Performance Improvement of Distribution System by Using PROMETHEE - Multiple Attribute Decision Making Method
- DOI
- 10.2991/iccasp-16.2017.72How to use a DOI?
- Keywords
- Distribution system reconfiguration, Loss minimization, Multi-attribute decision making, TOPSIS, PROMETHEE.
- Abstract
Distribution system (DS) delivers electrical power to the end users and is the first interface of the utility with the consumers. Due to deregulation and competition amongst distributors, distribution utilities are under pressure to minimize the losses and to improve reliability to enhance the overall performance. Keeping in view of these as-pects the distribution system is reconfigured for the purpose of loss minimization, balancing the load on the feeders, relieving overloads, and maintenance. Each configuration (switching combination) is considered as al-ternative for the decision makers (DM) with attributes like voltage profile, reliability etc. Multi-attribute decision-making (MADM) is the branch of decision making which deals with assessing the number of alterna-tives based on some conflicting attributes. In this paper, Preference Ranking Organization Method for Enrich-ment Evaluations (PROMETHEE) is proposed for finding the compromised best configuration from available alternatives. MADM methods weighted sum method (WSM), weighted product method (WPM), Analytical Hi-erarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are applied to sample distribution system and results are compared with PROMETHEE.
- Copyright
- © 2017, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - S. Kamble AU - U. Patil PY - 2016/12 DA - 2016/12 TI - Performance Improvement of Distribution System by Using PROMETHEE - Multiple Attribute Decision Making Method BT - Proceedings of the International Conference on Communication and Signal Processing 2016 (ICCASP 2016) PB - Atlantis Press SP - 488 EP - 493 SN - 1951-6851 UR - https://doi.org/10.2991/iccasp-16.2017.72 DO - 10.2991/iccasp-16.2017.72 ID - Kamble2016/12 ER -