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AC Dynamic Transmission Expansion Planning Using Memetic Algorithms

  • Universidad de Cuenca
  • Universidad del Azuay
  • Escuela Politécnica Nacional
  • Corporación Eléctrica Del Ecuador - CELEC EP

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

1 Scopus citations

Abstract

The objective of Dynamic Transmission Expansion Planning (DTEP) is to determine which, where, and when electric infrastructure should be added to a power system within a planning horizon. Adding new components to the system aims to meet future demand and efficiency parameters such as service quality, reliability, and economy. Few research works aim to solve the DTEP problem using the AC network model. In this research work, a solution method using Memetic Algorithms (MA) is proposed. The solution method solves the DTEP problem by combining population-based solution techniques and local search. The full non-convex AC model is used to deal with the DTEP problem. The proposed algorithm combines the Particle Swarm Optimization (PSO) metaheuristic with the Hill Climbing local search technique and it is evaluated using the Garver system.

Original languageEnglish
Title of host publication2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages510-514
Number of pages5
ISBN (Electronic)9798350336962
DOIs
StatePublished - 2023
Event2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023 - San Juan, United States
Duration: 6 Nov 20239 Nov 2023

Publication series

Name2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023

Conference

Conference2023 IEEE PES Innovative Smart Grid Technologies Latin America, ISGT-LA 2023
Country/TerritoryUnited States
CitySan Juan
Period6/11/239/11/23

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

  • AC Model
  • Dynamic Transmission Expansion Planning
  • Hill Climbing
  • Memetic Algorithm
  • Optimization
  • Particle Swarm Optimization (PSO)
  • Renewable Energy

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