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Topological reconfiguration in Distribution Systems for loss minimization considering load-ability constraints through a group search algorithm

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The amount of electrical energy losses in distribution systems depends on the amount of current that flows through the conductors and their caliber; they affect the quality of energy; therefore, in this investigation, a possible solution to this problem is proposed. In the present work, a heuristic methodology is proposed for the minimization of losses in the feeders of a distribution network using a heuristic method for topological reconfiguration with the opening and closing of link switches already established in each distribution network using an algorithm. For group search, since this is a complex combinatorial problem, it is proposed to use a reconfiguration algorithm that will analyze all the possible configurations that will be subjected to power flows to obtain the state of the system. An efficient reconfiguration in distribution networks depends on the methodology to be implemented. It must comply with the restrictions such as maintaining radiality and supplying the entire load. This document provides information regarding the group search algorithm and the flow load based on backward/forward sweep in three distribution systems of 33 bars, 69 bars, and 136 bars.

Original languageEnglish
Title of host publication2024 11th International Conference on Power and Energy Systems Engineering, CPESE 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages364-370
Number of pages7
ISBN (Electronic)9798350377439
DOIs
StatePublished - 2024
Event11th International Conference on Power and Energy Systems Engineering, CPESE 2024 - Nara City, Japan
Duration: 6 Sep 20248 Sep 2024

Publication series

Name2024 11th International Conference on Power and Energy Systems Engineering, CPESE 2024

Conference

Conference11th International Conference on Power and Energy Systems Engineering, CPESE 2024
Country/TerritoryJapan
CityNara City
Period6/09/248/09/24

Bibliographical note

Publisher Copyright:
© 2024 IEEE.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • group search algorithm
  • Heuristic methods
  • load-ability constraints reconfiguration network

CACES Knowledge Areas

  • 317A Electricity and Energy

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