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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

  • Name

    Gil Silva Sampaio
  • Cluster

    Power and Energy
  • Role

    Research Assistant
  • Since

    10th March 2014
001
Publications

2013

Optimization of the operation of hydro stations in market environment using Genetic Algorithms

Authors
Sampaio, GS; Saraiva, JT; Sousa, JC; Mendes, VT;

Publication
International Conference on the European Energy Market, EEM

Abstract
This paper describes an approach to the short term operation planning of hydro stations in market environment. The developed approach is based on the solution of an optimization problem to maximize the profit of a generation agent along a planning period discretized in hourly steps using a Genetic Algorithm. This problem includes the possibility of pumping since this is an important resource in the scope of electricity markets. The scheduling problem was developed starting with an initial simplified version in which the head loss is neglected and the head is assumed constant. Then, it was implemented a second model in which the nonlinear relation between the head, the hydro power and the water discharge is retained and finally an approach in which the hydro schedule obtained in a given step is used to update the hourly electricity prices used to compute the profit of the generation agent. The short term hydro scheduling problem is illustrated using two Case Studies - the first one was designed to run a set of initial tests to the developed algorithm and the second one refers to a set of hydro stations that mirrors a cascade of 8 stations in Portugal. © 2013 IEEE.

Supervised
thesis

2017

State Estimation for Evolving Power Systems Paradigms

Author
Gil da Silva Sampaio

Institution
UP-FEP