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About

About

Justino Miguel Rodrigues was born in Penafiel (Portugal) on 9th September 1985. He graduated in Electrical Engineering in the Faculty of Engineering of the University of Porto - FEUP (2010) and obtained his M.Sc. in Renewable Energy Systems in July 2011.

He has joined INESC TEC in 2010 as member of the REIVE Project (Smart Grids with Electric Vehicles), where he was responsible for the development of computational simulation models for prototypes of power electronic converters integrating advanced control functionalities developed in the scope of the project.

He has integrated in COMUTE-DC project in 2013, participating in the development of a laboratorial setup of a small-scale multi-terminal DC grid. Was also responsible for executing the laboratorial validation of the advanced functionalities developed for multi-terminal DC grid developed in the scope of the project.

He is currently integrating the SENSIBLE project since 2016, being responsible for the development of computational simulation models to validate the integration of energy storage systems in low-voltage grids regarding fault-ride-through and islanded operation capabilities. He is also involved in the development of optimization algorithms for the optimal management of energy storage systems integrated in the medium-voltage and low-voltage grids which will integrate the final demonstrator site.

He is also responsible for the development of Lab Device Manager software, designed to make the implementation, management and monitoring of laboratorial experiments easier and more accessible, making use of the equipment and infrastructure available in REIVE laboratory.

An additional and solid knowledge in automation and programming was obtained from the developed work, constituting a valuable complement to the accumulated knowledge in power systems and renewable energy systems.

Interest
Topics
Details

Details

  • Name

    Justino Miguel Rodrigues
  • Cluster

    Power and Energy
  • Role

    Researcher
  • Since

    13th December 2010
004
Publications

2020

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

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

Publication
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

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

Publication
IEEE Transactions on Smart Grid

Abstract

2019

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

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

Publication
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

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

Publication
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

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

Publication
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.