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Sobre

Sobre

Sou natural de Amarante, Portugal, onde nasci em 1988. Recebi o grau de Mestre em Engenharia Electrotécnica e de Computadores pela Faculdade de Engenharia da Universidade do Porto (FEUP), Portugal, em 2011 no ramo de Energia e especialização em Energias Renováveis.

Sou investigador no Centro de Sistemas de Energia (CPES) do Instituto de Engenharia de Sistemas e Computadores – Tecnologia e Ciência (INESC TEC), Portugal, desde Março de 2012. Os meus interesses incluem a integração de fontes de energia renováveis, smart grids, sistemas de protecção e estimação de estados.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Henrique Silva Teixeira
  • Cluster

    Energia
  • Cargo

    Investigador
  • Desde

    02 novembro 2009
013
Publicações

2021

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

Autores
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;

Publicação
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

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

Publicação
2021 IEEE Madrid PowerTech

Abstract

2019

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

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

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

Abstract

2016

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

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

Publicação
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

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

Publicação
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.