Towards Digital Twins of Small Productive Processes in Microgrids
Danny Espín-Sarzosa (danny.espin@pucv.cl),
Rodrigo Palma-Behnke and
Felipe Valencia-Arroyave
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Danny Espín-Sarzosa: Escuela de Ingeniería Eléctrica, Pontificia Universidad Católica de Valparaíso, Brasil Av. 2147, Valparaíso 2362804, Chile
Rodrigo Palma-Behnke: Energy Center, Faculty of Physical and Mathematical Sciences, University of Chile, Ercilla 847, Santiago 8370450, Chile
Felipe Valencia-Arroyave: Facultad de Ciencias de la Ingeniería, Universidad Austral de Chile, General Lagos St 2086, Valdivia 5111187, Chile
Energies, 2023, vol. 16, issue 11, 1-17
Abstract:
In microgrids (MGs), energy management systems (EMSs) have been using increasingly detailed models of generation units, loads, and networks to make decisions on the power/energy contribution of each available unit to meet the electrical energy demand. This work aims to investigate the use of digital twins (DT) of small productive processes (SPPs) to regulate endogenous process variables to ensure final product quality, while the expected power consumption is estimated and communicated to the EMS so that it can make its decisions on the participation of each power source in meeting the electrical energy demand. The literature review reveals that this is one of the first attempts, in the context of MGs, to generate DT for SPPs that combine not only the electrical energy consumption, but also link it with the energy/mass balances taking place in the SPPs, highlighting the complexity that SPPs have as electrical loads. The results demonstrate that environmental conditions significantly influence the final electrical consumption of the SPPs. Additionally, the MG exhibits better economic performance when the SPP DT supports EMS decision-making, which is of great importance in MGs due to the special conditions they have for electric power generation, being more challenging in isolated MGs.
Keywords: digital twin; energy management system; microgrids; small productive processes; solar energy (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:16:y:2023:i:11:p:4324-:d:1155633
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