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About

I was born in 1988 in Amarante, Portugal. I received the M.Sc. degree in Electrical and Computers Engineering from the Faculty of Engineering, University of Porto (FEUP), Portugal, in 2011 with major studies in Energy and specialization in Renewable Energies.

I have been working as a researcher in the R&D Centre for Power and Energy Systems (CPES) of Institute for Systems and Computer Engineering – Technology and Science (INESC TEC), Portugal, since March 2012. My research interests include integration of renewable energy sources, smart grids, protection power systems and power system state estimation.

Interest
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Details

Details

  • Name

    Henrique Silva Teixeira
  • Cluster

    Power and Energy
  • Role

    Researcher
  • Since

    02nd November 2009
013
Publications

2021

Functional Scalability and Replicability Analysis for Smart Grid Functions: The InteGrid Project Approach

Authors
Menci, SP; Bessa, RJ; Herndler, B; Korner, C; Rao, BV; Leimgruber, F; Madureira, AA; Rua, D; Coelho, F; Silva, JV; Andrade, JR; Sampaio, G; Teixeira, H; Simoes, M; Viana, J; Oliveira, L; Castro, D; Krisper, U; Andre, R;

Publication
ENERGIES

Abstract
The evolution of the electrical power sector due to the advances in digitalization, decarbonization and decentralization has led to the increase in challenges within the current distribution network. Therefore, there is an increased need to analyze the impact of the smart grid and its implemented solutions in order to address these challenges at the earliest stage, i.e., during the pilot phase and before large-scale deployment and mass adoption. Therefore, this paper presents the scalability and replicability analysis conducted within the European project InteGrid. Within the project, innovative solutions are proposed and tested in real demonstration sites (Portugal, Slovenia, and Sweden) to enable the DSO as a market facilitator and to assess the impact of the scalability and replicability of these solutions when integrated into the network. The analysis presents a total of three clusters where the impact of several integrated smart tools is analyzed alongside future large scale scenarios. These large scale scenarios envision significant penetration of distributed energy resources, increased network dimensions, large pools of flexibility, and prosumers. The replicability is analyzed through different types of networks, locations (country-wise), or time (daily). In addition, a simple replication path based on a step by step approach is proposed as a guideline to replicate the smart functions associated with each of the clusters.

2021

Operational Management of Medium Voltage and Low Voltage Networks under a Smart Grid Environment

Authors
Teixeira, H; Lopes, JAP; Matos, MA;

Publication
2021 IEEE Madrid PowerTech

Abstract

2019

On the development of a framework for the advanced monitoring of LV grids

Authors
Kotsalos, K; Marques, L; Sampaio, G; Pereira, J; Gouveia, C; Teixeira, H; Fernandes, R; Campos, F;

Publication
SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Abstract

2016

A state estimator for LV networks: Results from the evolvDSO project

Authors
Teixeira, H; Pereira Barbeiro, PN; Pereira, J; Bessa, R; Matos, PG; Lemos, D; Morais, AC; Caujolle, M; Sebastian Viana, M;

Publication
IET Conference Publications

Abstract
The increasing connection of new assets in LV networks will surely require a better monitoring of these systems in a real-time manner. In order to meet this purpose, a Distribution State Estimator (DSE) module clearly appears as the most cost-effective and possibly the only reliable option available. In this sense, in the scope of the evolvDSO project, a DSE tool exploiting the concept of ELM-AE was developed and tested in two distinct real LV distribution networks. In this paper the main results achieved with the proposed DSE tool are presented and discussed.

2016

LV SCADA project: In-field validation of a distribution state estimation tool for LV networks

Authors
Barbeiro, P; Pereira, J; Teixeira, H; Seca, L; Silva, P; Silva, N; Melo, F;

Publication
IET Conference Publications

Abstract
The LV SCADA project aimed at the development of advanced technical, commercial and regulatory solutions to contribute for an effective smart grid implementation. One of the biggest challenges of the project was related with the lack of characterization that usually exists in LV networks, together with the almost non-existing observability. In order to overcome these issues, a LV management system integrating a state estimation tool based on artificial intelligence techniques was developed. The tool is currently installed in one pilot demonstration site that aggregates 2 MV/LV substations. In this paper the performance of tool in real environment is evaluated and the results gathered from the pilot site are analyzed.