TY - GEN
T1 - Study of a hybrid photovoltaic-wind smart microgrid using data science approach
AU - Saire, Josimar Edinson Chire
AU - Gastelo-Roque, Jose Armando
AU - Canziani, Franco
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/9/15
Y1 - 2021/9/15
N2 - 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.
AB - 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.
KW - Data Science
KW - Microgrids
KW - Peru
KW - Photovoltaic
KW - Renewables
UR - http://www.scopus.com/inward/record.url?scp=85117566203&partnerID=8YFLogxK
U2 - 10.1109/ISGTLatinAmerica52371.2021.9543064
DO - 10.1109/ISGTLatinAmerica52371.2021.9543064
M3 - Contribución a la conferencia
AN - SCOPUS:85117566203
T3 - 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021
BT - 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2021 IEEE PES Innovative Smart Grid Technologies Conference - Latin America, ISGT Latin America 2021
Y2 - 15 September 2021 through 17 September 2021
ER -