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About

About

I'm a member of the Centre for Power and Energy Systems of INESC TEC since 2011,  currently holding a Senior Researcher position. I received my MSc and PhD degrees in Electrical Engineering from the Faculty of Engineering, University of Porto (FEUP) in 2008 and 2015 respectively. My research interests are focused on the operation of distribution networks within smart grid context, considering the large scale integration of Distributed Energy Resources and microgrid concepts. I have been involved in several national and European projects, such as MERGE, SENSIBLE and UPGRID project, namely in the development and demonstration activities in INESC TEC Smart Grids and Electric Vehicles laboratory of control and management strategies to enable the safe integration of Distributed Energy Resources in distribution networks, particularly when operating islanded from the main grid.

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Details

Details

  • Name

    Clara Sofia Gouveia
  • Cluster

    Power and Energy
  • Role

    Area Manager
  • Since

    01st July 2011
018
Publications

2019

Black start and islanding operations of microgrid

Authors
Gouveia, C; Moreira, C; Madureira, AG; Gouveia, J; Issicaba, D; Pecas Lopes, JA;

Publication
Variability, Scalability and Stability of Microgrids

Abstract

2019

Low voltage grid data visualisation with a frame representation and cognitive architecture

Authors
Pereira, M; Bessa, RJ; Gouveia, C;

Publication
2019 IEEE Milan PowerTech, PowerTech 2019

Abstract
While the transmission system benefits from a high observability, the distribution system has a relatively low level of observability. This problem is already being addressed with the deployment of smart meters, in an effort to make the smart grid concept a reality. Nevertheless, as observability increases, so too does the volume of data, which makes the development of advanced software tools a very important subject. In this paper, the application of image analysis techniques to a low voltage grid is explored, by converting voltage data into an image format, using a cognitive network to evaluate and cluster grid operating modes. The proposed method is applied to a 33-bus low voltage grid to evaluate voltage profiles at each bus and the associated technical limits (voltage limits alarms). © 2019 IEEE.

2018

Electric Vehicles Charging: Management and Control Strategies

Authors
Soares, FJ; Rua, D; Gouveia, C; Tavares, BD; Coelho, AM; Lopes, JAP;

Publication
IEEE Vehicular Technology Magazine

Abstract
In this article, we present a holistic framework for the integration of electric vehicles (EVs) in electric power systems. Their charging management and control methodologies must be optimized to minimize the negative impact of the charging process on the grid and maximize the benefits that charging controllability may bring to their owners, energy retailers, and system operators. We have assessed the performance of these methods initially through steady-state computational simulations, and then we validated them in a microgrid (MG) laboratory environment. © 2018 IEEE.

2018

The role of low-voltage-ride-through capability of distributed energy resources for the mitigation of voltage sags in low voltage distribution grids

Authors
Rodrigues, J; Lopes, A; Miranda, L; Gouveia, C; Moreira, C; Pecas Lopes, JP;

Publication
20th Power Systems Computation Conference, PSCC 2018

Abstract
The large scale integration of Distributed Energy Resources (DER) at the Low Voltage (LV) distribution network offers new opportunities for the improvement of power quality and network reliability. Currently, the occurrence of large disturbances at the transmission network causing severe voltage sags at the distribution level could lead to the disconnection of a large share of DER units connected to the LV network, causing a more severe disturbance. In this paper, Low-Voltage-Ride-Through (LVRT) requirements and current support strategies are proposed to mitigate the impact of severe voltage sag at the distribution level for DER units connected to LV network. The impact of adopting the proposed LVRT strategies will be analyzed through simulation and experimentally. A developed in house ESS prototype incorporating the developed LVRT strategies is also presented, and its capacity to comply with the proposed LVRT requirements is demonstrated using an experimental Power-Hardware-in-the-Loop (PHIL) setup. © 2018 Power Systems Computation Conference.

2018

Procedures for Emergency Situations

Authors
Moreira, C; Gouveia, C;

Publication
Microgrids Design and Implementation

Abstract