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Sobre

Sobre

Justino Miguel Rodrigues nasceu em Penafiel (Portugal) a 9 de Setembro de 1985. Obteve o grau de Mestre em Engenharia Eletrotécnica e de Computadores pela Faculdade de Engenharia da Universidade do Porto em Julho de 2010.

Em Dezembro de 2010 integrou o INESC TEC como membro da equipa de investigação do projeto REIVE – Redes Elétricas Inteligentes com Veículos Elétricos - com vista ao desenvolvimento de modelos de simulação computacionais de protótipos de conversores eletrónicos incorporando funcionalidades de controlo avançadas desenvolvidas no âmbito desse projeto.

Integrou em 2013 o projeto COMUTE-DC, onde participou no desenvolvimento da infraestrutura laboratorial para implementação de uma rede DC multi-terminal em escala reduzida, e foi responsável pela realização dos ensaios laboratoriais de validação das funcionalidades avançadas direcionadas para redes DC multi-terminal desenvolvidas no âmbito do projeto.

Integra atualmente o projeto SENSIBLE desde 2016, onde ficou encarregue do desenvolvimento de modelos de simulação computacionais para a validação da integração de sistemas de armazenamento de energia em redes de baixa tensão, tendo em vista a capacidade de sobrevivência a cavas de tensão e operação em ilha. Está igualmente envolvido no desenvolvimento de algoritmos de otimização para a gestão ótima de unidades de armazenamento de energia integradas nas redes de média tensão e baixa tensão que integrarão o demonstrador final. 

Transversal a todas atividades anteriores, é também responsável pelo desenvolvimento do software Lab Device Manager, projetado para facilitar e tornar mais acessível a implementação, gestão e monitorização de experiências laboratoriais utilizando todos os equipamentos e infraestrutura disponível no Laboratório REIVE.

Do trabalho desenvolvido foi possível desenvolver conhecimentos na área da programação e automação, que constituem um complemento valioso à formação base em sistemas elétricos de energia e em energias renováveis.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Justino Miguel Rodrigues
  • Cluster

    Energia
  • Cargo

    Investigador
  • Desde

    13 dezembro 2010
004
Publicações

2020

Smart transformers as active interfaces enabling the provision of power-frequency regulation services from distributed resources in hybrid AC/DC grids

Autores
Rodrigues, J; Moreira, C; Lopes, JP;

Publicação
Applied Sciences (Switzerland)

Abstract
Smart Transformers (STs) are being envisioned as a key element for the controllability of distribution networks in a future context of Renewable Energy Source (RES), Energy Storage System (ESS) and Electric Vehicle (EV) massification. Additionally, STs enable the deployment of hybrid AC/DC networks, which offer important advantages in this context. In addition to offering further degrees of controllability, hybrid AC/DC networks are more suited to integrate DC resources such as DC loads, PV generation, ESS and EV chargers. The purpose of the work developed in this paper is to address the feasibility of exploiting STs to actively coordinate a fleet of resources existing in a hybrid AC/DC network supplied by the ST aiming to provide active power-frequency regulation services to the upstream AC grid. The feasibility of the ST to coordinate the resources available in the hybrid distribution AC/DC network in order to provide active power-frequency regulation services is demonstrated in this paper through computational simulation. It is demonstrated that the aforementioned goal can be achieved using droop-based controllers that can modulate controlled variables in the ST. © 2020 by the authors.

2020

Optimal Load Restoration in Active Distribution Networks Complying with Starting Transients of Induction Motors

Autores
Sekhavatmanesh, H; Rodrigues, J; Moreira, CL; Lopes, JAP; Cherkaoui, R;

Publicação
IEEE Transactions on Smart Grid

Abstract

2019

Smart transformers - Enabling power-frequency regulation services for hybrid AC/DC networks

Autores
Rodrigues, J; Moreira, C; Lopes, JP;

Publicação
2019 IEEE Milan PowerTech, PowerTech 2019

Abstract
The progressive decommissioning of large synchronous generators that should take place in face of increasing penetration ratios of Distributed Generation (DG) will demand additional control mechanisms for inertia provision and frequency and voltage regulation in the power system. The need to cope with increasing penetration ratios of DG in distribution grids, added to the necessity to integrate an expected massification of EV and distributed ESS, and to the necessity to enhance Power System resilience and controllability, makes the Smart-Transformer (ST) a suitable solution. In this paper it is demonstrated the feasibility of the ST to contribute to frequency control through the control of the resources available in the distribution AC/DC hybrid networks created from the ST. The feasibility of local droop controllers, acting on frequency and voltage magnitude of the AC/DC hybrid networks created from the ST, to achieve the aforementioned goal, is demonstrated through computational simulation. © 2019 IEEE.

2019

Experimental validation of an equivalent dynamic model for active distribution networks

Autores
Fulgencio, N; Rodrigues, J; Moreira, C;

Publicação
SEST 2019 - 2nd International Conference on Smart Energy Systems and Technologies

Abstract
In this paper a real-time laboratorial experiment is presented, intended to validate a 'grey-box' equivalent model for medium voltage active distribution networks with high presence of converter-connected generation, considering the latest European grid codes requirements, in response to severe faults at the transmission network side. A hybrid setup was implemented at INESC TEC's laboratory (Porto, Portugal), relying on a real-time digital simulator to provide the interface between simulation and physical assets available at the laboratory, in a power-hardware-in-the-loop configuration. The study considered the laboratory's internal network to be operating (virtually) as a medium voltage distribution network with converter-connected generation (fault ride through compliant), connected to a fully-detailed transmission network model. The aggregated reactive power response of the laboratory's network was fitted by the dynamic equivalent model, recurring to an evolutionary particle swarm optimization algorithm. The methodology adopted, testing conditions and respective results are presented. © 2019 IEEE.

2018

A practical comparison of two algorithms for inverter control with virtual inertia emulation

Autores
Barbosa, D; Ramos, J; Rodrigues, J; Lopes, A; Araujo, RE;

Publicação
20th Power Systems Computation Conference, PSCC 2018

Abstract
Renewable energy sources are environmentally appealing in electrical power grids. However, distributed energy resources (DER) are typically connected to the grid through converters that do not have the same properties as synchronous generators which have high participation in power generation. Some of these properties like inertial response are important and must not be lost with higher DER penetration. The present paper analyses two converter control algorithms that are capable of emulating inertial response in DER: the Virtual Synchronous Generator control (VSG) and the Synchronverter. Both algorithms are described, implemented and tested in a practical experiment and a comparison of both algorithms is assessed in terms of frequency nadir achieved, settling time and implementation complexity. The findings can give useful insights to help decide which algorithm should be implemented in a future real application. © 2018 Power Systems Computation Conference.