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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. In these areas, I have actively participated in the European FP5 MICROGRIDS project, FP6 MORE MICROGRIDS project and FP7 MERGE, SuSTAINABLE, iTESLA and evolvDSO projects, 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), coordinated by INESC Porto, where I am involved in European H2020 FEEdBACk, InteGrid and SENSIBLE projects and ERA-NET SmartGuide project. My main responsibilities are project management, preparation of proposals for R&D / consultancy projects and writing of deliverables, technical reports and scientific papers. I am also Assistant Professor at the Lusófona University of Porto (ULP) since 2011.

I am author of more than 40 papers in international journals and conferences, author of a book and co-author of four book chapters.

Interest
Topics
Details

Details

  • Name

    André Guimarães Madureira
  • Cluster

    Power and Energy
  • Role

    Senior Researcher
  • Since

    02nd February 2004
007
Publications

2017

Assessing the Impact of Demand Flexibility on Distribution Network Operation

Authors
Tavares, BD; Sumaili, J; Soares, FJ; Madureira, AG; Ferreira, R;

Publication
2017 IEEE MANCHESTER POWERTECH

Abstract
This paper presents a study about the influence of Distributed Energy Resources' (DER) flexibility on the operation of a Medium Voltage (MV) network, in a Smart Grid (SG) environment. An AC multi-temporal Optimal Power Flow (OPF) tool was developed and used to simulate the impact of the DER flexibility (including storage devices, EVs, controllable loads and micro-generation) in distribution network operation. Some simulations are presented, demonstrating the impact that DER flexibility can have on solving operation problems namely in terms of branch loading and voltage limits.

2017

MicroGrid Energy Balance Management for Emergency Operation

Authors
Gouveia, J; Gouveia, C; Rodrigues, J; Bessa, R; Madureira, AG; Pinto, R; Moreira, CL; Lopes, JAP;

Publication
2017 IEEE MANCHESTER POWERTECH

Abstract
A distinctive characteristic of a Microgrid (MG) system is related to the ability of operating autonomously. However, the stability of the system relies in storage and generation availability, providing frequency and voltage regulation. Considering the deployment of distributed storage units in the Low Voltage network and of smart metering infrastructures, this paper presents an online tool for promoting an effective coordination of MG flexible resources in order ensure a secure autonomous operation and maximize the time that the MG is able to operate islanded from the main grid. The tool determines a priori an emergency operation plan for the next hours, based on load and microgeneration forecasting. The limited energy capacity of the distributed storage units participating in MG control is also considered.

2017

Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources

Authors
Meirinhos, JL; Rua, DE; Carvalho, LM; Madureira, AG;

Publication
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
Large-scale integration of variable Renewable Energy Sources (RES) brings significant challenges to grid operation that require new approaches and tools for distribution system management, particularly concerning voltage control. Therefore, an innovative approach for voltage control at the MV level is presented. It is based on a preventive day-ahead analysis that uses data from load/RES forecasting tools to establish a plan for operation of the different Distributed Energy Resources (DER) for the next day. The approach is formulated as a multi-temporal Optimal Power Flow (OPF) solved by a meta-heuristic, used to tackle complex multi-dimensional problems. The tuning of the meta-heuristic parameters was performed to ensure the robustness of the proposed approach and enhance the performance of the algorithm. It was tested through simulation in a large scale test network with good results.

2017

Advanced voltage control for smart microgrids using distributed energy resources

Authors
Olival, PC; Madureira, AG; Matos, M;

Publication
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
Large scale integration of distributed generation (DG), particularly based on variable renewable energy sources (RES), in low voltage (LV) distribution networks brings significant challenges to operation. This paper presents a new methodology for mitigating voltage problems in LV networks, in a future scenario with high integration of distributed energy resources (DER), taking advantage of these resources based on a smart grid type architecture. These resources include dispersed energy storage systems, controllable loads of residential clients under demand side management (DSM) actions and microgeneration units. The algorithm developed was tested in a real Portuguese LV network and showed good performance in controlling voltage profiles while being able to integrate all energy from renewable sources and minimizing the energy not supplied.

2017

ADMS4LV – advanced distribution management system for active management of LV grids

Authors
Campos, F; Marques, L; Silva, N; Melo, F; Seca, L; Gouveia, C; Madureira, A; Pereira, J;

Publication
CIRED - Open Access Proceedings Journal

Abstract