Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
About

About

I got my Integrated Master’s degree in Electrical and Computers Engineering in 2012 from the Faculty of Engineering of University of Porto. Here, I chose the energy area with focus on renewables energies and on electricity markets and regulation issues.

Finished my degree, I worked for an international consultancy company developing information technology systems for financial institutions. Following, I started working as a research engineering at the Faculty of Economics of University of Porto developing software tools to support the study of operations management topics.

In 2014, I joined the Centre for Power and Energy Systems of INESC TEC where I have been working mainly in the DMS/EMS and System Operations area focusing in state estimation.

Since 2015, I am also a PhD student of the MIT Portugal Program on Sustainable Energy Systems.

Interest
Topics
Details

Details

010
Publications

2022

Conditional parametric model for sensitivity factors in LV grids: A privacy-preserving approach

Authors
Sampaio, G; Bessa, RJ; Goncalves, C; Gouveia, C;

Publication
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
The deployment of smart metering technologies in the low voltage (LV) grid created conditions for the application of data-driven monitoring and control functions. However, data privacy regulation and consumers’ aversion to data sharing may compromise data exchange between utility and customers. This work presents a data-driven method, based on smart meter data, to estimate linear sensitivity factors for three-phase unbalanced LV grids, which combines a privacy-preserving protocol and varying coefficients linear regression. The proposed method enables centralized and peer-to-peer learning of the sensitivity factors. Potential applications for the sensitivity factors are demonstrated by solving voltage violations or computing operating envelopes in a LV grid without resorting to its network topology or electrical parameters. © 2022 Elsevier B.V.

2022

Local flexibility need estimation based on distribution grid segmentation

Authors
Retorta, F; Gouveia, C; Sampaio, G; Bessa, R; Villar, J;

Publication
International Conference on the European Energy Market, EEM

Abstract
This work presents a methodology to segment the MV electric grid into grid zones for which the active power flexibility needs that solve the forecasted voltage and current issues are computed. This methodology enables the Distribution System Operator (DSO) to publish flexibility needs per zones, allowing aggregators to offer flexibility by optimizing their portfolio of resources in each grid zone. A case study is used to support the methodology results and its performance, showing the feasibility of solving grid issues by activating flexibility per grid zones according to the proposed methodology. © 2022 IEEE.

2022

Euniversal's smart grid solutions for the coordinated operation & planning of MV and LV networks with high EV integration

Authors
Sampaio, G; Gouveia, C; Bessa, R; Villar, J; Retorta, F; Carvalho, L; Merckx, C; Benothman, F; Promel, F; Panteli, M; Mourão, RL; Louro, M; Águas, A; Marques, P;

Publication
CIRED Porto Workshop 2022: E-mobility and power distribution systems

Abstract

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.

2018

Probabilistic Low-Voltage State Estimation Using Analog-Search Techniques

Authors
Bessa, R; Sampaio, G; Miranda, V; Pereira, J;

Publication
2018 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC)

Abstract