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Sobre

Sobre

Clara Gouveia é mestre e doutorada em Engenharia Eletrotécnica e de Computadores pela Faculdade de Engenharia da Universidade do Porto, em 2008 e 2015 respetivamente. É membro do Centro de Sistemas de Energia do INESC TEC - Instituto de Engenharia de Sistemas e Computadores, Tecnologia e Ciência, onde desempenha funções de Investigadora Sénior. É atualmente responsável de área EMS/DMS e automação de redes, tendo a seu cargo a definição de linhas estratégicas de atuação e angariação de financiamento a nível nacional e europeu. Integra ainda o Conselho Científico do INESC TEC. Desde 2015 que desempenha funções de gestão de projetos de investigação e consultoria envolvendo empresas relevantes no sector nacional e internacional. O seu trabalho é dedicado à especificação, desenvolvimento e validação de soluções de gestão de energia tendo em conta a integração de recursos distribuídos (armazenamento de energia, produção dispersa, carga controlável e veículos elétricos) assim como soluções para a digitalização da rede de distribuição. Conta ainda com publicações em revistas científicas internacionais, livros e atas de conferências internacionais.

Tópicos
de interesse
Detalhes

Detalhes

  • Nome

    Clara Sofia Gouveia
  • Cluster

    Energia
  • Cargo

    Responsável de Área
  • Desde

    01 julho 2011
034
Publicações

2022

A Multiobjective Approach for the Optimal Placement of Protection and Control Devices in Distribution Networks With Microgrids

Autores
REIZ, C; DE LIMA, TD; LEITE, JB; JAVADI, MS; GOUVEIA, CS;

Publicação
IEEE ACCESS

Abstract

2022

Data-driven Anomaly Detection and Event Log Profiling of scada Alarms

Autores
Andrade, JR; Rocha, C; Silva, R; Viana, JP; Bessa, RJ; Gouveia, C; Almeida, B; Santos, RJ; Louro, M; Santos, PM; Ribeiro, AF;

Publicação
IEEE ACCESS

Abstract

2022

Quantifying the Difference Between Resilience and Reliability in the Operation Planning of Mobile Resources for Power Distribution Grids

Autores
Lotfi, M; Panteli, M; Venkatasubramanian, BV; Javadi, MS; Carvalho, LM; Gouveia, CS;

Publicação
Findings

Abstract
Modern power grids have high levels of distributed energy resources, automation, and inherent flexibility. Those characteristics have been proven to be favorable from an environmental, social and economic perspective. Despite the increased versatility, modern grids are becoming more vulnerable to high-impact low-probability (HILP) threats, particularly for the distribution networks. On one hand, this is due to the increasing frequency and severity of weather events and natural disasters. On the other hand, it is aggravated by the increased complexity of smart grids. Resilience is broadly defined as the capability of a system to mitigate the effects of and recover from HILP events, which is often confused with reliability that is concerned with low-impact high-probability (LIHP) ones. In this paper, a distribution system in Portugal is simulated to showcase how the utilization of flexibility and mobile energy resources (MERs) should be considered differently relative to HILP vs LIHP threats.

2022

A Multi-Temporal Optimal Power Flow Model for Normal and Contingent Operation of Microgrids

Autores
Javadi, MS; Gouveia, CS; Carvalho, LM;

Publicação
2022 IEEE INTERNATIONAL CONFERENCE ON ENVIRONMENT AND ELECTRICAL ENGINEERING AND 2022 IEEE INDUSTRIAL AND COMMERCIAL POWER SYSTEMS EUROPE (EEEIC / I&CPS EUROPE)

Abstract
In this paper, a multi-temporal optimal power flow (OPF) model for radial networks is proposed. The mathematical problem formulation is presented as a mixed-integer quadratically constrained programming (MIQCP) problem. The main core of the developed OPF problem is benefiting from the second-order conic programming (SOCP) approach while the quadratic constraints of the power flow equations have been efficiently handled. In the developed model, the dynamic behaviour of the electrical energy storage (EES) has been addressed for the day-ahead operation problem. In addition, the developed model is tested and verified for both normal and contingent events and the obtained results are satisfactory in terms of feasibility and optimality. In the islanded operation, a grid-forming unit is the main responsible for maintaining the voltage reference while other units behave as slave. The model is tested on the modified IEEE 33-bus network to verify the performance of the developed tool. © 2022 IEEE.

2022

Optimal Allocation of Protection and Control Devices in Distribution Networks with Microgrids

Autores
Reiz, C; de Lima, TD; Leite, JB; Javadi, MS; Gouveia, CS;

Publicação
2022 IEEE 21ST MEDITERRANEAN ELECTROTECHNICAL CONFERENCE (IEEE MELECON 2022)

Abstract
Protection and control systems represent an essential part of distribution networks, ensuring the physical integrity of components and improving system reliability. Protection devices isolate a portion of the network affected by a fault, while control devices reduce the number of de-energized loads by transferring loads to neighboring feeders. The integration of distributed generation has the potential to improve the continuity of energy services through islanding operation during outage conditions. In this context, this paper presents a multi-objective optimization approach for the size and allocation of protection and control devices in distribution networks with microgrids supplied by renewable energy sources. Reclosers, fuses, remote-controlled switches, and directional relays are considered in the formulation. The demand and generation uncertainties define the islanding operation and the load transfer possibilities. A genetic algorithm is presented to solve the allocation problem. The compromise programming is performed to choose the best solution from the Pareto front. Results show interesting setups for the protection system and viability of islanding operation.

Teses
supervisionadas

2020

Mapeamento automático da topologia de redes inteligentes de baixa tensão

Autor
João Afonso da Silva Picão

Instituição
UP-FEUP