TY - GEN
T1 - Energy Management and Cost Operation Optimization Modeling Applied to an Off-grid DC Microgrid With Green Hydrogen Production
AU - Montoya-Acevedo, Diego
AU - Bedoya-Cadena, Laura
AU - Maureira-Riquelme, Angel S.
AU - Parraguez-Garrido, Ignacio
AU - Restrepo, Carlos
AU - Gonzalez-Castano, Catalina
N1 - Publisher Copyright:
© 2024 IEEE.
PY - 2024
Y1 - 2024
N2 - In recent years, there has been a significant increase in the production of green hydrogen using renewable energy sources, particularly photovoltaic energy. This is seen as an effective way to combat the impacts of climate change. An electrical system is needed to power the electrolyzer continuously; to achieve this, the electrolyzer is connected with power converters and energy storage systems such as batteries, supercapacitors, and hydrogen tanks. These systems allow the hydrogen produced to be converted into electrical energy through a fuel cell when needed, ensuring continuous operation even when the renewable energy source is unavailable. This work proposes an optimization model for an off-grid DC microgrid aimed at maximizing the utilization rate of the electrolyzer and minimizing hydrogen fuel cell consumption. The results demonstrate that a linear method can reduce hydrogen fuel consumption by approximately 40.73% to meet electrical demand while increasing hydrogen production and optimizing energy generation and storage systems.
AB - In recent years, there has been a significant increase in the production of green hydrogen using renewable energy sources, particularly photovoltaic energy. This is seen as an effective way to combat the impacts of climate change. An electrical system is needed to power the electrolyzer continuously; to achieve this, the electrolyzer is connected with power converters and energy storage systems such as batteries, supercapacitors, and hydrogen tanks. These systems allow the hydrogen produced to be converted into electrical energy through a fuel cell when needed, ensuring continuous operation even when the renewable energy source is unavailable. This work proposes an optimization model for an off-grid DC microgrid aimed at maximizing the utilization rate of the electrolyzer and minimizing hydrogen fuel cell consumption. The results demonstrate that a linear method can reduce hydrogen fuel consumption by approximately 40.73% to meet electrical demand while increasing hydrogen production and optimizing energy generation and storage systems.
KW - dc microgrids
KW - green hydrogen production
KW - off-grid systems
KW - optimization
UR - http://www.scopus.com/inward/record.url?scp=85213374218&partnerID=8YFLogxK
U2 - 10.1109/ICA-ACCA62622.2024.10766789
DO - 10.1109/ICA-ACCA62622.2024.10766789
M3 - Conference contribution
AN - SCOPUS:85213374218
T3 - 2024 IEEE International Conference on Automation/26th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2024
BT - 2024 IEEE International Conference on Automation/26th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2024
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2024 IEEE International Conference on Automation/26th Congress of the Chilean Association of Automatic Control, ICA-ACCA 2024
Y2 - 20 October 2024 through 23 October 2024
ER -