Siting and Sizing of Distributed Generation Units in Distribution Systems with Genetic Algorithms

Meza-Zamata, Jessica; Chahuara-Llerena, Joaquin; Gomero-Ostos, Nestor; Grados, Juan; Arellan-Yanac, Luis; Ramirez-Soto, Edwin; Lara-Marquez, Juan

Siting and Sizing of Distributed Generation Units in Distribution Systems with Genetic Algorithms (#1262)

Read Article

Date of Conference

July 19-21, 2023

Published In

"Leadership in Education and Innovation in Engineering in the Framework of Global Transformations: Integration and Alliances for Integral Development"

Location of Conference

Buenos Aires

Authors

Meza-Zamata, Jessica

Chahuara-Llerena, Joaquin

Gomero-Ostos, Nestor

Grados, Juan

Arellan-Yanac, Luis

Ramirez-Soto, Edwin

Lara-Marquez, Juan

Abstract

This paper presents a genetic algorithm for the location of distributed generation units, using the equations of power flow and energy balance between demanded power and generated power. The genetic algorithm is performed in the open-source programming language Python due to its current importance and the multiple libraries for data science. The genetic algorithm for distributed generation location is applied in a feeder circuit in the city of Arequipa

Read Article