TY - GEN
T1 - Water-energy nexus and stochastic optimization in a isolated microgrid
T2 - 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
AU - Meneses, Manuel Parraga
AU - Jaimes, Arturo Fajardo
AU - Quintana, Jose Vuelvas
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - Water-energy microgrids are regarded as a viable approach for generating well-being conditions and development in remote areas, such as the rancherías of Colombia's La Guajira region. Water and energy generation, storage, and management systems can be combined to form this microgrids. In this sense, this work proposes two optimal sizing and management models, which consider the relationship between water and energy (nexus) through a storage system with a hydropump. The proposed optimization models are deterministic and stochastic, both in two stages; in the first, the size of the installed renewable energy is minimized, while in the second, the drinking water generated by a desalination system is minimized, all while managing resources over a time horizon and different scenarios. Similarly, users with different water and energy requirements are interconnected, and variations in user consumption are compensated with the hydropump system, ensuring the microgrid's equilibrium over the time horizon. Linear and stochastic programming methods are used to solve the problem, whose formulations is implemented in the GAMS software. The results of the two optimization problems are compared with each other and the performance is evaluated in terms of sizing renewable energies, water production, resource management in the water-energy microgrid and costs.
AB - Water-energy microgrids are regarded as a viable approach for generating well-being conditions and development in remote areas, such as the rancherías of Colombia's La Guajira region. Water and energy generation, storage, and management systems can be combined to form this microgrids. In this sense, this work proposes two optimal sizing and management models, which consider the relationship between water and energy (nexus) through a storage system with a hydropump. The proposed optimization models are deterministic and stochastic, both in two stages; in the first, the size of the installed renewable energy is minimized, while in the second, the drinking water generated by a desalination system is minimized, all while managing resources over a time horizon and different scenarios. Similarly, users with different water and energy requirements are interconnected, and variations in user consumption are compensated with the hydropump system, ensuring the microgrid's equilibrium over the time horizon. Linear and stochastic programming methods are used to solve the problem, whose formulations is implemented in the GAMS software. The results of the two optimization problems are compared with each other and the performance is evaluated in terms of sizing renewable energies, water production, resource management in the water-energy microgrid and costs.
KW - Water-energy microgrids
KW - hydro-pump storage
KW - linear and stochastic programming
KW - water-energy nexus
UR - http://www.scopus.com/inward/record.url?scp=85143808580&partnerID=8YFLogxK
U2 - 10.1109/ISGT-Europe54678.2022.9960560
DO - 10.1109/ISGT-Europe54678.2022.9960560
M3 - Conference contribution
AN - SCOPUS:85143808580
T3 - IEEE PES Innovative Smart Grid Technologies Conference Europe
BT - Proceedings of 2022 IEEE PES Innovative Smart Grid Technologies Conference Europe, ISGT-Europe 2022
PB - IEEE Computer Society
Y2 - 10 October 2022 through 12 October 2022
ER -