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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 was 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 was a member of the Senate of the University of Porto since October 2009 until 2017. I retired from FEUP in May 2022.

In 1985 I joined INESC (now INESC TEC). Since 1996 I coordinate the Centre for Power and Energy Systems of INESC TEC, leading 100+ researchers (including 30+ PhD). I was the President of the Scientific Council of INESC TEC since 2001 until 2022. 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 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) and “ANEMOS.PLUS” (Advanced Tools for the Management of Electricity Grids with Large-Scale Wind Generation). I was 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 in 2006)

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
  • Role

    Centre Coordinator
  • Since

    01st April 1985
028
Publications

2024

Collective Asset Sharing Mechanisms for PV and BESS in Renewable Energy Communities

Authors
Guedes, W; Oliveira, C; Soares, TA; Dias, BH; Matos, M;

Publication
IEEE TRANSACTIONS ON SMART GRID

Abstract
The energy sector transition to more decentralized and renewable structures requires greater participation by local consumers, which may be enabled by innovative models such as the setup of renewable energy communities (RECs). To maximize the self-consumption of local renewable energy generated by assets normally connected to the low voltage distribution grid, these RECs typically involve jointly owned assets such as collective photovoltaic solar panels (CPVs) and collective energy storage systems (CESS). This work proposes a novel mathematical model for a REC, accounting for three distinct economic approaches to the redistribution of collective benefits among community members. The main objective of this study is to understand how the participation of community members in collective assets (CAs) can help increase the fairness and equity of RECs. An illustrative REC case comprising members with individual and collective ownership of the assets is used to assess the proposed economic approaches. Extracting several answers, among them that the most advantageous configuration comes from agents with quotas in the CESS and CPV. An important conclusion is that depending on the selected economic approach, the social welfare and agent's revenue vary significantly. In any case, CESSs increase equity among REC members.

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

Including Dynamic Security Constraints in Isolated Power Systems Unit Commitment/Economic Dispatch: a Machine Learning-based Approach

Authors
de Sousa, RP; Moreira, C; Carvalho, L; Matos, M;

Publication
2023 IEEE BELGRADE POWERTECH

Abstract
Isolated power systems with high shares of renewables can require additional inertia as a complementary resource to assure the system operation in a dynamic safe region. This paper presents a methodology for the day-ahead Unit Commitment/ Economic Dispatch (UC/ED) for low-inertia power systems including dynamic security constraints for key frequency indicators computed by an Artificial Neural-Network (ANN)-supported Dynamic Security Assessment (DSA) tool. The ANN-supported DSA tool infers the system dynamic performance with respect to key frequency indicators following critical disturbances and computes the additional synchronous inertia that brings the system back to its dynamic security region, by dispatching Synchronous Condensers (SC) if required. The results demonstrate the effectiveness of the methodology proposed by enabling the system operation within safe frequency margins for a set of high relevance fault type contingencies while minimizing the additional costs associated with the SC operation.

2023

Full distributed P2P market and distribution network operation based on ADMM: Testing and evaluation

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

Publication
2023 19TH INTERNATIONAL CONFERENCE ON THE EUROPEAN ENERGY MARKET, EEM

Abstract
This work models a distributed community-based market with diverse assets (photovoltaic generators and energy storage systems), accounting for network constraints and adopting the relaxed branch flow model. The market is modeled in a single and fully distributed approach, employing the alternating direction method of multipliers (ADMM) to prevent voltage and line capacity problems in the community network and improve data privacy and reduce the communication burden. Different scenarios, based on the penalty term and the agents' number, are tested to study the efficiency of the algorithm and the convergence rate of the ADMM distributed model. The proposed method is tested on 10-bus, 22-bus, and 33-bus medium voltage radial distribution networks, where each node contains a large prosumer with one or several assets. One important conclusion is that the implemented residual balancing technique improves the efficiency of the ADMM distributed algorithm by increasing the convergence rate and reducing the computational time.

Supervised
thesis

2022

Internet Impact on Family Business Process of Internationalization

Author
João Pedro Frazão Alvim de Castro

Institution
UP-FEP

2022

Developing a learning solution approach for the on-line three-dimensional bin packing problems

Author
Sara Ali

Institution
UP-FEUP

2022

Conversão para Why3 de Formalizações em Coq

Author
Bárbara Andreia Cardoso Ferreira

Institution
UM

2022

Modular methods for inbalanced multiclass classification

Author
Solander Patrício Lopes Agostinho

Institution
UP-FEUP

2021

Time-To-Event Prediction

Author
Maria José Gomes Pedroto

Institution
UP-FEUP