Study of a hybrid photovoltaic-wind smart microgrid using data science approach

Josimar Edinson Chire Saire, Jose Armando Gastelo-Roque, Franco Canziani

Resultado de la investigación: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

Resumen

In this paper, a smart microgrid implemented in Paracas, Ica, Peru, composed of 6 kWp PV + 6 kW Wind and that provides electricity to a rural community of 40 families, was studied using a data science approach. Real data of solar irradiance, wind speed, energy demand, and voltage of the battery bank from 2 periods of operation were studied to find patterns, seasonality, and existing correlations between the analyzed data. Among the main results are the periodicity of renewable resources and demand, the weekly behavior of electricity demand and how it has progressively increased from an average of 0.7 kW in 2019 to 1.2 kW in 2021, and how power outages are repeated at certain hours in the morning when resources are low or there is a failure in the battery bank. These analyzed data will be used to improve sizing techniques and provide recommendations for energy management to optimize the performance of smart microgrids.

Idioma originalInglés
Título de la publicación alojada2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021
EditorialInstitute of Electrical and Electronics Engineers Inc.
ISBN (versión digital)9781665444217
DOI
EstadoPublicada - 15 set. 2021
Publicado de forma externa
Evento2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021 - Lima, Perú
Duración: 15 set. 202117 set. 2021

Serie de la publicación

Nombre2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021

Conferencia

Conferencia2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021
País/TerritorioPerú
CiudadLima
Período15/09/2117/09/21

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