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About

About

I have graduated in Electrical and Computer Engineering in the area of Power Systems from the Faculty of Engineering of the University of Porto (FEUP) in July 2003. In the following year, I joined the Power Systems Unit of the Institute for Systems and Computer Engineering of Porto (INESC Porto) where I have been developing my research activities. In December 2005 I obtained the MSc degree in Electrical and Computer Engineering with a specialization in Power Systems from FEUP. I later obtained my PhD degree in Electrical and Computer Engineering, also from FEUP, in November 2010. My research interests have been directed towards the integration of Distributed Generation and Microgeneration in electrical distribution grids as well as to the development of advanced functionalities for Smart Grids involving Renewable Energy Sources, storage devices and Demand Response. More recently, I have been working in Energy Efficiency topics. In these areas, I have collaborated in the European FP5 MICROGRIDS project, FP6 MORE MICROGRIDS project and FP7 MERGE, SuSTAINABLE, iTESLA and evolvDSO projects, and H2020 SENSIBLE project, to name but a few. I was also involved in the national INOVGRID project with EDP Distribution (Portuguese DSO) and participated in several consultancy projects for EDP Distribution, EFACEC (Portuguese equipment manufacturer), EDA (System Operator of the Azores islands), GeSto Energia (Consulting company), among others. I was invited Assistant Professor at FEUP in 2015. In addition, I gave advanced training and presented technical workshops within the field of Microgrids and Smart Grids both in Portugal and abroad. Currently I am a Senior Researcher in the Centre for Power and Energy Systems (CPES) of INESC Technology and Science (INESC TEC), where I am project coordinator of the EU H2020 ATTEST project while also being involved in EU H2020 FEEdBACk and InteGrid projects and other consultancy projects. My main responsibilities are project management and development of specific tasks in R&D / consultancy projects, preparation of proposals for R&D / consultancy projects and writing of project deliverables, technical reports and scientific papers. I am also Assistant Professor at the Lusófona University of Porto (ULP) since 2011 and Programme Director of the Bachelor in Electrical Engineering of Energy Systems (1st Cycle) since 2019. I am author of more than 50 papers in peer-reviewed international journals and conferences (h-index of 12 according to SCOPUS), as well as author of a book and co-author of six book chapters.

Interest
Topics
Details

Details

  • Name

    André Guimarães Madureira
  • Cluster

    Power and Energy
  • Role

    External Research Collaborator
  • Since

    02nd February 2004
020
Publications

2022

Local Energy Communities in Service of Sustainability and Grid Flexibility Provision: Hierarchical Management of Shared Energy Storage

Authors
Nagpal, H; Avramidis, I; Capitanescu, F; Madureira, AG;

Publication
IEEE Transactions on Sustainable Energy

Abstract

2022

A Novel TSO-DSO Ancillary Service Procurement Coordination Approach for Congestion Management

Authors
Alizadeh, MI; Usman, M; Capitanescu, F; Madureira, AG;

Publication
2022 IEEE Power & Energy Society General Meeting (PESGM)

Abstract

2022

The Role of Hydrogen Electrolysers in the Frequency Containment Reserve: A Case Study in the Iberian Peninsula up to 2040

Authors
Ribeiro F.J.; Lopes J.A.P.; Fernandes F.S.; Soares F.J.; Madureira A.G.;

Publication
SEST 2022 - 5th International Conference on Smart Energy Systems and Technologies

Abstract
This paper investigates the contribution of hydrogen electrolysers (HEs) as highly controllable loads in the context of the Frequency Containment Reserve (FCR), in future operation scenarios on the Iberian Peninsula (IP). The research question is whether HEs can mitigate system insecurity regarding frequency or Rate of Change of Frequency (RoCoF) in critical periods of high renewable energy penetration (i.e. low system inertia), due to the fact that these periods will coincide with high volume of green hydrogen production. The proposed simulation platform for analysis consists of a simplified dynamic model developed in MATLAB/Simulink. The results obtained illustrate how HEs can outperform conventional generators on the provision of FCR. It is seen that the reference incident of 1GW loss in the IP in a 2040 low inertia scenario does not lead to insecure values of either frequency or Rate of Change of Frequency (RoCoF). On the other hand, an instantaneous loss of inverter-based resources (IBR) generation following a short-circuit may result in RoCoF violating security thresholds. The obtained results suggest that the HEs expected to be installed in the IP in 2040 may contribute to reduce RoCoF in this case, although this mitigation may be insufficient. The existing FCR mechanism does not fully exploit the fast-ramping capability of HEs; reducing measurement acquisiton delay would not improve results. © 2022 IEEE.

2021

FEEdBACk: An ICT-Based Platform to Increase Energy Efficiency through Buildings’ Consumer Engagement

Authors
Soares, F; Madureira, A; Pages, A; Barbosa, A; Coelho, A; Cassola, F; Ribeiro, F; Viana, J; Andrade, J; Dorokhova, M; Morais, N; Wyrsch, N; Sorensen, T;

Publication
ENERGIES

Abstract
Energy efficiency in buildings can be enhanced by several actions: encouraging users to comprehend and then adopt more energy-efficient behaviors; aiding building managers in maximizing energy savings; and using automation to optimize energy consumption, generation, and storage of controllable and flexible devices without compromising comfort levels and indoor air-quality parameters. This paper proposes an integrated Information and communications technology (ICT) based platform addressing all these factors. The gamification platform is embedded in the ICT platform along with an interactive energy management system, which aids interested stakeholders in optimizing “when and at which rate” energy should be buffered and consumed, with several advantages, such as reducing peak load, maximizing local renewable energy consumption, and delivering more efficient use of the resources available in individual buildings or blocks of buildings. This system also interacts with an automation manager and a users’ behavior predictor application. The work was developed in the Horizon 2020 FEEdBACk (Fostering Energy Efficiency and BehAvioral Change through ICT) project.

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.