The second of this two-part paper proposes a novel methodology to simulate long-term, high-frequency scenarios for the power demand in each bus of a distribution system. The proposed model generates high-frequency and high-dimensional scenarios, on an hourly basis for each bus of the system, as a function of the low-frequency and low-dimensional scenarios simulated by the first part of this work. Hence, the proposed method relies on a disaggregation procedure that is trained within observed data and applied to long-run simulated scenarios. A case study with real data from the Brazilian power system is presented and relevant conclusions are drawn. We highlight that this method can be useful for a wide range of applications in power systems.
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Guilherme Meirelles Bodin de MoraesGuilherme Meirelles Bodin de Moraes received his B.Sc. degree in Electrical Engineering in 2018 from the Pontifical Catholic University of Rio de Janeiro (PUC-Rio), Brazil and his M.Sc. degree in Generalistic Engineering in 2018 from École Centrale de Marseille, France. During his undergraduate program, he spent two years as a double degree student at the École Centrale de Marseille, and was also an intern at Visagio in Rio de Janeiro. Since 2017, he has been actively participating in research projects at the Laboratory of Applied Mathematical Programming and Statistics (LAMPS) in the Department of Electrical Engineering at PUC-Rio.
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