V
V. Fernao Pires
Researcher at INESC-ID
Publications - 193
Citations - 1915
V. Fernao Pires is an academic researcher from INESC-ID. The author has contributed to research in topics: Inverter & Fault (power engineering). The author has an hindex of 18, co-authored 154 publications receiving 1457 citations. Previous affiliations of V. Fernao Pires include Technical University of Lisbon & University of Lisbon.
Papers
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Journal ArticleDOI
Smart Grid as a Key Tool for the Future of Electrical Distribution Networks
TL;DR: A new paradigm has appeared in the electricity sector with the rapid development of new renewable energy sources, storage systems, information and communication technologies, and ways of integrating distributed energy sources as mentioned in this paper .
Journal ArticleDOI
Multi-conductor Line Models for Harmonic Load-flow Calculations in LV Networks with High Penetration of PV Generation
TL;DR: In this article , the influence of the line model on the load flow in a highly unbalanced LV network with a high penetration of PV production, and the impact of the harmonics produced by nonlinear loads are addressed.
Proceedings ArticleDOI
Sliding Mode Vector Control of Grid-Connected PV Multilevel Systems Based on Triple Three-Phase Two-Level Inverters
TL;DR: A new control system is proposed for grid-connected PV systems with this structure, based on a sliding mode AC current controller that uses space-vector voltage modulators and designed to inject unbalanced power into the grid to provide an ancillary service regarding power unbalances.
Proceedings ArticleDOI
The HVDC Dual Transmission System Under DC Short-Circuit Faults
TL;DR: This paper will present a control system for this converter taking into consideration a DC short circuit fault ride-through, and verify that even in a situation of short-circuit in a DClink, the system maintains their capability to transfer the energy, although at reduced power.
Proceedings ArticleDOI
Multiobjective switching devices placement considering environmental constrains in distribution networks with distributed energy resources
TL;DR: In this article, the authors proposed a genetic evolutionary algorithm NSGA-II for the multiobjective optimal placement of the switching devices in distribution electrical networks, where a trade-off between the investment in switching devices, energy not supplied and greenhouse gas emissions is analyzed, in order to choose the optimal placing of switching devices.