VLDB 2026 Research / reviewers in the wild / expert
Rodrigo Trentini
dblp:193/0555
· DBLP profile ↗
2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-7519-7763ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Software engineering, systems software and programming languages · 2 · 2 since 2021Applied, interdisciplinary, general and emerging computing · 2 · 2 since 2021
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | State Feedback Power Control of Boost Converter Aimed at Power System StabilityabstractThe integration of renewable energy sources, such as photovoltaic and wind power plants, into electrical systems poses challenges in maintaining grid stability due to their lack of natural inertia. This paper addresses the importance of controlling power injection from these sources to mitigate frequency instability, exemplified by a recent blackout in Brazil. While conventional approaches focus on controlling DC-link voltage, this study uses full state feedback control for regulating power injected by a boost converter in photovoltaic systems. This Work in Progress paper presents modelling of the converter with power output, controller design, and computer simulation of the boost converter, demonstrating its effectiveness in power management and reduction of oscillations. Yuri Roberto Ferreira, Rodrigo Trentini, Diego Santos Greff |
CoDIT | 2 |
| 2024 | Active and Reactive Power Scheduling Optimization of Battery Energy Storage System to Support the Distribution System OperationabstractThe power grid has undergone a substantial transformation, especially through the adoption of distributed generation (DG) and electric vehicles (EVs). However, integrating these technologies poses challenges to the grid operation such as voltage violations and power quality issues. The adequate use of Battery Energy Storage Systems (BESS) can help address these challenges, providing support for the operation. Therefore, this paper proposes an optimization methodology for BESS power reference scheduling. The primary goals of the proposed optimization are to minimize power losses, enhance load curve smoothness, and improve voltage profiles. These objectives are pursued while also considering the technical and operational constraints of both the grid and BESS. Simulation results from a feeder demonstrate that the BESS operation, based on the proposed scheduling method, significantly reduces peak demand, enhances voltage profiles, mitigates losses, and improves power factor. John J. A. Saldanha, Ademir Nied, Rüdiger Kutzner, Rodrigo Trentini |
CoDIT | 4 |