Multi-Objective Analysis for Optimal location and location of Distributed Generation Focused on Improving Power Quality

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

1 Scopus citations

Abstract

The increasing demand for electric power and heightened environmental protection awareness have rapidly grown distributed generation (DG) in recent years. Consequently, this research aims to investigate the optimal location and capacity for DG based on multiple objectives, such as the minimization of active power losses, the improvement of the voltage profile, and the cost reduction of the network. To this end, an algorithm inspired by the behavior of lion ants, known as the Ant Lion Optimizer (ALO), has been proposed as a possible solution. The ALO algorithm is a nature-inspired meta-heuristic that can provide near-optimal solutions for complex real-world optimization problems. Thus, the ALO algorithm is expected to provide solutions close to optimal while being computationally efficient.

Original languageEnglish
Title of host publication2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798350332117
ISBN (Print)9798350332117
DOIs
StatePublished - 2023
Event2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023 - Male, Maldives
Duration: 11 Mar 202312 Mar 2023

Publication series

Name2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023

Conference

Conference2023 IEEE IAS Global Conference on Renewable Energy and Hydrogen Technologies, GlobConHT 2023
Country/TerritoryMaldives
CityMale
Period11/03/2312/03/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

  • Ant Colony Optimization
  • Distributed Power Generation
  • Power Quality
  • Renewable En-ergy Sources

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