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Manuel A Matos – CV Curto – primeira pessoa

Nasci no Porto (Portugal) a 8 de abril de 1955, concluí a licenciatura em Engenharia Eletrotécnica na Faculdade de Engenharia da Universidade do Porto – FEUP (1977) e completei o doutoramento em Sistemas de Energia em 1988, também na Universidade do Porto. Em novembro de 1996 recebi o título de Agregado.

 Em 1978 fui admitido no Departamento de Engenharia Eletrotécnica da FEUP, onde sou Professor Catedrático desde 2000. No período 1990-98, fui também diretor da Biblioteca da FEUP. No período 2001-2008 fui diretor de curso do Mestrado Em Gestão de Informação e sou atualmente diretor do Programa Doutoral em Sistemas Sustentáveis de Energia, integrado no Programa MIT-Portugal

Tenho lecionado unidades curriculares em cursos de licenciatura, mestrado e doutoramento, em Engenharia Eletrotécnica e Sistemas de Energia e orientado atividades de investigação de muitos estudantes dos três níveis. Também colaborei com a Escola de Gestão da Universidade do Porto, lecionando Ajuda à Decisão em cursos de mestrado. Sou membro do Senado da Universidade do Porto desde outubro de 2009.

Em 1985 aderi ao INESC (agora INESC TEC), onde desde 1996 coordeno o Centro de Sistemas de Energia, agrupando 60+ investigadores (incluindo 20+ doutorados). Sou atualmente o Presidente do Conselho Científico do INESC TEC. Estive envolvido em vários projetos de investigação e desenvolvimento nacionais, europeus e internacionais e em contratos de desenvolvimento e consultoria para operadores de rede, indústria, departamentos governamentais e Entidade Reguladora dos Serviços Energéticos.

Em particular, fui ou sou responsável pela equipa de investigação do INESC TEC nos projetos europeus “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) e “evolvDSO” (Development of methodologies and tools for new and evolving DSO roles for efficient DRES integration in distribution networks). Sou atualmente o Investigador Principal do projeto “SusCity” (Urban data driven models for creative and resourceful urban transitions), financiado pela FCT (MPP-Testbed).

Também coordenei as equipas de investigação dos contratos “CCR” (Load Profiling and Distribution Network Characterization), com EDP Distribuição, 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), com os TSO of Portugal (REN) e Espanha (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) e “MORA” (Long-term adequacy evaluation of reserves in a multi-area context) (REN). Estive ainda envolvido em ações consultoria relacionadas com a conceção de concurso públicos, nomeadamente o concurso de concessão de nova potência eólica em Portugal continental.

Os meus interesses científicos incluem modelização clássica e difusa de sistemas de energia, fiabilidade e otimização e ajuda à decisão, com aplicação em planeamento, integração de renováveis, integração de veículos elétricos e redes inteligentes. Participei na organização de conferências internacionais como PMAPS’2000, IEEE PPT’2001, ISAP’2015 and EEM’2016. Sou membro do the Editorial board da EPSR (Top Reviewer in 2010) e do Int J of Multicriteria Decision Making. Sou senior member do IEEE.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Manuel Matos
  • Cluster

    Energia
  • Cargo

    Coordenador de Centro
  • Desde

    01 abril 1985
037
Publicações

2022

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

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

Publicação
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

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

Publicação
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

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

Publicação
2021 IEEE MADRID POWERTECH

Abstract

2021

An unsupervised approach for fault diagnosis of power transformers

Autores
Dias, L; Ribeiro, M; Leitao, A; Guimaraes, L; Carvalho, L; Matos, MA; Bessa, RJ;

Publicação
QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL

Abstract
Electrical utilities apply condition monitoring on power transformers (PTs) to prevent unplanned outages and detect incipient faults. This monitoring is often done using dissolved gas analysis (DGA) coupled with engineering methods to interpret the data, however the obtained results lack accuracy and reproducibility. In order to improve accuracy, various advanced analytical methods have been proposed in the literature. Nonetheless, these methods are often hard to interpret by the decision-maker and require a substantial amount of failure records to be trained. In the context of the PTs, failure data quality is recurrently questionable, and failure records are scarce when compared to nonfailure records. This work tackles these challenges by proposing a novel unsupervised methodology for diagnosing PT condition. Differently from the supervised approaches in the literature, our method does not require the labeling of DGA records and incorporates a visual representation of the results in a 2D scatter plot to assist in interpretation. A modified clustering technique is used to classify the condition of different PTs using historical DGA data. Finally, well-known engineering methods are applied to interpret each of the obtained clusters. The approach was validated using data from two different real-world data sets provided by a generation company and a distribution system operator. The results highlight the advantages of the proposed approach and outperformed engineering methods (from IEC and IEEE standards) and companies legacy method. The approach was also validated on the public IEC TC10 database, showing the capability to achieve comparable accuracy with supervised learning methods from the literature. As a result of the methodology performance, both companies are currently using it in their daily DGA diagnosis.

2021

Interfacing Power Electronics Systems for Smart Grids: Innovative Perspectives of Unified Systems and Operation Modes

Autores
Monteiro, V; Soares, T; Lopes, JP; Matos, M; Afonso, JL;

Publicação
IECON 2021 - 47TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY

Abstract
The power distribution grid is centrally managed concerning the requirements of the end-users, however, with the appearance of smart grids, new technologies are arising. Therefore, distributed energy resources, mainly, renewables, energy storage systems, electric mobility, and power quality are viewed as encouraging contributions for improving power management. In these circumstances, this paper presents a power electronics perspective for the power distribution grid, considering innovative features, and including a power quality perception. Throughout the paper are presented relevant concepts for a concrete realization of a smart grid, supported by the integration of power electronics devices as the interface of the mentioned technologies. Aiming to support the innovative power electronics systems for interfacing the mentioned technologies in smart grids, a set of developed power electronics equipment was developed and, along with the paper, are shown and described, supporting the most important contributions of this paper.

Teses
supervisionadas

2021

Multi-sensor approach for Power Lines Inspection with an Unmanned Aerial Vehicle

Autor
Tiago André Miranda dos Santos

Instituição
UP-FEUP

2021

Plataforma Colaborativa Multidisciplinar de Exercícios e Jogos Sérios Aplicados à Reabilitação e Manutenção de Idosos

Autor
Hugo Fernando Azevedo Barbosa

Instituição
UP-FEUP

2021

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

Autor
Bruno Henrique Martins Santos

Instituição
UP-FEUP

2021

Prediction of cancer cells resistance to therapy

Autor
Ricardo Ian Barros Pinheiro

Instituição

2020

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

Autor
Andreas Tuhafeni Salom

Instituição
UP-FEUP