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About

About

I have an Integrated Masters in Electrical and Computer Engineering from the Faculty of Engineering of the University of Porto, obtained in 2012. After graduation, I gained industrial experience in the IT consulting sector, followed by a scholarship to develop graphical interfaces for the Operational Research Group of the Faculty of Economics.


In 2014, I joined the Centre for Power Systems (CPES) of INESC TEC, where I focused on the development of advanced tools for the monitoring and control of electrical distribution networks. In addition, in 2015 I enrolled in MIT Portugal's Ph.D. programme in Sustainable Energy Systems.


My work mainly revolves around improving traditional analytical approaches and leveraging large amounts of data to create innovative, data-driven solutions. At the intersection of technology, research and sustainability, my research and experience have made tangible contributions in real-world environments faced by energy distribution companies. This has been demonstrated through consulting services provided to private entities, as well as active involvement in European pilot projects.

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Details

Details

  • Name

    Gil Silva Sampaio
  • Role

    Assistant Researcher
  • Since

    10th March 2014
012
Publications

2023

Data-driven Assessment of the DER Flexibility Impact on the LV Grid Management

Authors
Fritz, B; Sampaio, G; Bessa, RJ;

Publication
2023 IEEE BELGRADE POWERTECH

Abstract
Low voltage (LV) grids face a challenge of effectively managing the growing presence of new loads like electric vehicles and heat pumps, along with the equally growing installation of rooftop photovoltaic panels. This paper describes practical applications of sensitivity factors, extracted from smart meter data (i.e., without resorting to grid models), to i) link voltage problems to different costumers/devices and their location in the grid, ii) manage the flexibility provided by distributed energy resources (DERs) to regulate voltage, and iii) assess favorable locations for DER capacity extensions, all with the aim of supporting the decision-making process of distribution system operators (DSOs) and the design of incentives for customers to invest in DERs. The methods are tested by running simulations based on historical meter data on six grid models provided by the EU-Joint Research Center. The results prove that it is feasible to implement advanced LV grid analysis and management tools despite the typical limitations in its electrical and topological characterisation, while avoiding the use of computationally heavy tools such as optimal power flows.

2023

ENEIDA DEEPGRID®: BRINGING THE OPERATIONAL AWARENESS TO THE LV GRID

Authors
Couto, R; Faria, J; Oliveira, J; Sampaio, G; Bessa, R; Rodrigues, F; Santos, R;

Publication
IET Conference Proceedings

Abstract
This paper presents a novel solution integrated into the Eneida DeepGrid® platform for real-time voltage and active power estimation in low voltage grids. The tool utilizes smart grid infrastructure data, including historical data, real-time measurements from a subset of meters, and exogenous information such as weather forecasts and dynamic price signals. Unlike traditional methods, the solution does not require electrical or topological characterization and is not affected by observability issues. The performance of the tool was evaluated through a case study using 10 real networks located in Portugal, with results showing high estimation accuracy, even under scenarios of low smart meter coverage. © The Institution of Engineering and Technology 2023.

2023

MARKET-BASED FLEXIBILITY SERVICES FOR CONGESTION MANAGEMENT - A COMPREHENSIVE APPROACH USING THE EXAMPLE OF GERMAN DISTRIBUTION GRIDS

Authors
Brummund, D; Milzer, G; D'Hulst, R; Kratsch, P; Hashmi, MU; Adam, L; Sampaio, G; Kaffash, M;

Publication
IET Conference Proceedings

Abstract
According to the European Clean Energy Package (2019) Distribution System Operators (DSOs) shall effectively use flexibility services from local and regional assets to safely host more renewable energy sources in the electricity grid. Electricity prosumers become crucial players due to their potential to provide flexibility by adapting their production and consumption behaviour. Yet, integrating new types of assets into the distribution grid to use flexibility creates complexity and hardly predictable power flows in the distribution networks. The European H2020 demonstration project EUniversal aims to overcome the existing limitations in the use of flexibility. For that purpose, smart grid tools for grid state assessment and active system management are developed. A demonstration pilot is set up to test the flexibility value chain from congestion detection to market-based flexibility procurement via a local flexibility market. The pilot is conducted in the LV grids of the German DSO MITNETZ STROM, examining the use of flexible resources in the LV grid for congestion management. The article describes the set-up of the flexibility value chain and shows how all individual parts are integrated into the complete process. © The Institution of Engineering and Technology 2023.

2023

THE EUNIVERSAL PORTUGUESE DEMONSTRATOR: FROM MV-LV COORDINATED IDENTIFICATION OF FLEXIBILITY NEEDS TO ACTIVATION THROUGH THE UMEI

Authors
Mourão, RL; Gouveia, C; Sampaio, G; Retorta, F; Merckx, C; Benothman, F; Águas, A; Boto, P; Silva, CD; Milzer, G; Marzano, G; Dumont, C; Crucifix, P; Kaffash, M; Heylen, E;

Publication
IET Conference Proceedings

Abstract
The EUniversal project, funded by the European Union, aims to establish a universal approach to the utilization of flexibility by Distribution System Operators (DSOs) and their engagement with new flexibility markets. To achieve this objective, the project team has focused on developing the Universal Market Enabling Interface (UMEI) concept. This paper presents an overview of the process of adapting grid core systems to interact with different market platforms and agents, which is a key aspect of the real-world demonstration set to take place in Portugal. © The Institution of Engineering and Technology 2023.

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.