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About

About

I was born in Porto (Portugal) in 8 April 1955, graduated in Electrical Engineering in the Faculty of Engineering of the University of Porto - FEUP (1977), and completed my PhD in Power Systems in 1988, also from the University of Porto. In November 1996 I got the aggregation title from the University of Porto. In 1978 I joined the Department of Electrical Engineering of FEUP, where I am Full Professor since 2000. In the period 1990-98, I was also the Director of the Library of FEUP. In the period 2001-08, I was the director of the MSc program on Information Management, and I am presently the director of the PhD program in Sustainable Energy Systems, integrated in the MIT-Portugal program. I lectured several courses in graduation, MSc and PhD courses in Electrical Engineering and Power Systems and supervised the research activities of many graduation, MSc and PhD students. I also collaborated with the Management School of the University of Porto, lecturing MSc courses on Decision-Aid. I am a member of the Senate of the University of Porto since October 2009.

In 1985 I joined INESC (now INESC TEC). Since 1996 I coordinate the Centre for Power and Energy Systems of INESC TEC, leading 60+ researchers (including 20+ PhD). I am presently the President of the Scientific Council of INESC TEC. I have been involved in several national, EU and international RTD projects and in development contracts and consultancy for utilities, TSO, DSO, industrial partners, government agencies and for the Regulatory Authority for the Energy Services of Portugal. In particular, I was or am the responsible for the INESC TEC research team in the EU financed projects “CARE” (Advanced Control Advice for power systems with large-scale integration of Renewable Energy sources), “MORE CARE” (More Advanced Control Advice for Secure Operation of Isolated Power Systems with Increased Renewable Energy Penetration and Storage), “ANEMOS.PLUS” (Advanced Tools for the Management of Electricity Grids with Large-Scale Wind Generation) and “evolvDSO” (Development of methodologies and tools for new and evolving DSO roles for efficient DRES integration in distribution networks). I am presently the Principal Investigator of project “SusCity” (Urban data driven models for creative and resourceful urban transitions), financed by FCT (MPP-Testbed).

I also coordinated the research teams of the contracts “CCR” (Load Profiling and Distribution Network Characterization), with EDP Distribution (the Portuguese DSO), Study on the Impact of Large Renewable Deployment on European Electricity Higher Voltage Systems (JRC-Institute for Energy), “RESERVES” (Mid and Long Term Evaluation of the adequacy of Operational Reserve levels in the Iberian Electric Power Systems), with the TSO of Portugal (REN) and Spain (REE), “RECEP” (Development and testing of methodologies to determine the hosting capacity in the nodes of the National Grid of Portugal) (REN), “ReservaProb” (Software Module for helping setting the operational reserve of the National Electric System) (REN) and “MORA” (Long-term adequacy evaluation of reserves in a multi-area context) (REN). I was also involved in consultancy actions regarding the design of public tenders, namely the call for tenders for new wind power generation in Portugal mainland.

My research interests include classic and fuzzy modeling of power systems, reliability and optimization and decision-aid, with application to renewables’ integration, electric vehicles’ deployment and smart grids. I was involved in the organization of the international conferences PMAPS’2000, IEEE PPT’2001, ISAP’2015 and EEM’2016. I am a member of the Editorial board of EPSR (Top Reviewer in 2010) and of Int J of Multicriteria Decision Making. I am a senior member of IEEE.

Interest
Topics
Details

Details

  • Name

    Manuel Matos
  • Cluster

    Power and Energy
  • Role

    Centre Coordinator
  • Since

    01st April 1985
026
Publications

2023

Design of an Energy Policy for the Decarbonisation of Residential and Service Buildings in Northern Portugal

Authors
Capelo, S; Soares, T; Azevedo, I; Fonseca, W; Matos, MA;

Publication
ENERGIES

Abstract
The decarbonisation of the building sector is crucial for Portugal’s goal of achieving economy-wide carbon neutrality by 2050. To mobilize communities towards energy efficiency measures, it is important to understand the primary drivers and barriers that must be overcome through policymaking. This paper aims to review existing Energy Policies and Actions (EPA) in Portugal and assess their effectiveness in improving Energy Efficiency (EE) and reducing CO2 emissions in the building sector. The Local Energy Planning Assistant (LEPA) tool was used to model, test, validate and compare the implementation of current and alternative EPAs in the North of Portugal, including the national EE plan. The results indicate that electrification of heating and cooling, EE measures, and the proliferation of Renewable Energy Sources (RES) are crucial for achieving climate neutrality. The study found that the modelling of alternative EPAs can be improved to reduce investment costs and increase Greenhouse Gas (GHG) emissions reduction. Among the alternatives assessed, the proposed one (Alternative 4) presents the best returns on investment in terms of cost savings and emissions reduction. It allows for 52% investment cost savings in the residential sector and 13% in the service sector when compared to the current national roadmap to carbon neutrality (Alternative 2). The estimated emission reduction in 2050 for Alternative 4 is 0.64% for the residential sector and 3.2% for the service sector when compared to Alternative 2.

2023

Distributed Network-Constrained P2P Community-Based Market for Distribution Networks

Authors
Oliveira, C; Simoes, M; Bitencourt, L; Soares, T; Matos, MA;

Publication
ENERGIES

Abstract
Energy communities have been designed to empower consumers while maximizing the self-consumption of local renewable energy sources (RESs). Their presence in distribution systems can result in strong modifications in the operation and management of such systems, moving from a centralized operation to a distributed one. In this scope, this work proposes a distributed community-based local energy market that aims at minimizing the costs of each community member, accounting for the technical network constraints. The alternating direction method of multipliers (ADMM) is adopted to distribute the market, and preserve, as much as possible, the privacy of the prosumers’ assets, production, and demand. The proposed method is tested on a 10-bus medium voltage radial distribution network, in which each node contains a large prosumer, and the relaxed branch flow model is adopted to model the optimization problem. The market framework is proposed and modeled in a centralized and distributed fashion. Market clearing on a day-ahead basis is carried out taking into account actual energy exchanges, as generation from renewable sources is uncertain. The comparison between the centralized and distributed ADMM approach shows an 0.098% error for the nodes’ voltages. The integrated OPF in the community-based market is a computational burden that increases the resolution of the market dispatch problem by about eight times the computation time, from 200.7 s (without OPF) to 1670.2 s. An important conclusion is that the proposed market structure guarantees that P2P exchanges avoid the violation of the network constraints, and ensures that community agents’ can still benefit from the community-based architecture advantages. © 2023 by the authors.

2022

Consumer-centric electricity markets: A comprehensive review on user preferences and key performance indicators

Authors
Oliveira, C; Botelho, DF; Soares, T; Faria, AS; Dias, BH; Matos, MA; De Oliveira, LW;

Publication
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
The power system is facing a transition from its traditional centralized model to a more decentralized one, through the emergence of proactive consumers on the network, known as prosumers. This paradigm shift favors the emergence of new electricity market designs. Peer-to-Peer (P2P) based structures have been gaining prominence worldwide. In the P2P market, the prosumer assumes a more active role in the system, being able to directly trade its energy without the need for intermediaries. This paper contributes with a comprehensive overview of consumer-centric electricity markets, providing background on different aspects of P2P sharing, in particular the inclusion of peer preferences in the electricity trading process through product differentiation. A performance assessment of the different modeled preferences was carried out using key performance indicators (KPIs). Different user preferences under the product differentiation mechanism were simulated. The results demonstrate that consumer-centric markets increase the penetration of renewable energy sources into the network and tend to affect loads flexibility according to the renewable generation.

2021

An improved version of the Continuous Newton's method for efficiently solving the Power-Flow in Ill-conditioned systems

Authors
Tostado Veliz, M; Matos, MA; Lopes, JAP; Jurado, F;

Publication
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Abstract
This paper tackles the efficient Power-Flow solution of ill-conditioned cases. In that sense, those methods based on the Continuous Newton's philosophy look very promising, however, these methodologies still present some issues mainly related with the computational efficiency or the robustness properties. In order to overcome these drawbacks, we suggest several modifications about the standard structure of the Continuous Newton's method. Thus, the standard Continuous Newton's paradigm is firstly modified with a frozen Jacobian scheme for reducing its computational burden; secondly, it is extended for being used with High-order Newton-like method for achieving higher convergence rate and, finally, a regularization scheme is introduced for improving its robustness features. On the basis of the suggested improvements, a Power-Flow solution paradigm is developed. As example, a novel Power-Flow solver based on the introduced solution framework and the 4th order Runge-Kutta formula is developed. The novel technique is validated in several realistic large-scale ill-conditioned systems. Results show that the suggested modifications allow to overcome the drawbacks presented by those methodologies based on the Continuous Newton's method. On the light of the results obtained it can be also claimed, that the developed solution paradigm constitutes a promising framework for developing robust and efficient Power-Flow solution techniques. © 2020 Elsevier Ltd

2021

Operational Management of Medium Voltage and Low Voltage Networks under a Smart Grid Environment

Authors
Teixeira, H; Lopes, JAP; Matos, MA;

Publication
2021 IEEE MADRID POWERTECH

Abstract

Supervised
thesis

2022

Application of Multi-Criteria Decision Aid (MCDA) in Decision Making: Mineral Resource Projects Investment Evaluation

Author
Andreas Tuhafeni Salom

Institution
UP-FEUP

2022

Modeling energy sector integration using green hydrogen to define public policies and new regulatory support schemes to accelerate energy transition

Author
Bruno Henrique Martins Santos

Institution
UP-FEUP

2022

Dimensionamento e Localização de Dispositivos de Armazenamento

Author
Vitor Eduardo da Silva Santos

Institution
UP-FEUP

2021

models and algorithms for network reinforcement planning in a smart grid environment

Author
Ricardo Jorge Duque Fernandes da Costa Ferreira

Institution
UP-FEUP

2021

Modeling energy sector integration using green hydrogen to define public policies and new regulatory support schemes to accelerate energy transition

Author
Bruno Henrique Martins Santos

Institution
UP-FEUP