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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

    Senior Researcher
  • Since

    01st July 2011
006
Publications

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; 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.

2017

MicroGrid Energy Balance Management for Emergency Operation

Authors
Gouveia, J; Gouveia, C; Rodrigues, J; Bessa, R; Madureira, AG; Pinto, R; Moreira, CL; Lopes, JAP;

Publication
2017 IEEE MANCHESTER POWERTECH

Abstract
A distinctive characteristic of a Microgrid (MG) system is related to the ability of operating autonomously. However, the stability of the system relies in storage and generation availability, providing frequency and voltage regulation. Considering the deployment of distributed storage units in the Low Voltage network and of smart metering infrastructures, this paper presents an online tool for promoting an effective coordination of MG flexible resources in order ensure a secure autonomous operation and maximize the time that the MG is able to operate islanded from the main grid. The tool determines a priori an emergency operation plan for the next hours, based on load and microgeneration forecasting. The limited energy capacity of the distributed storage units participating in MG control is also considered.

2017

Multi-Period Modeling of Behind-the-Meter Flexibility

Authors
Pinto, R; Matos, MA; Bessa, RJ; Gouveia, J; Gouveia, C;

Publication
2017 IEEE MANCHESTER POWERTECH

Abstract
Reliable and smart information on the flexibility provision of Home Energy Management Systems (HEMS) represents great value for Distribution System Operators and Demand/flexibility Aggregators while market agents. However, efficiently delimiting the HEMS multi-temporal flexibility feasible domain is a complex task. The algorithm proposed in this work is able to efficiently learn and define the feasibility search space endowing DSOs and aggregators with a tool that, in a reliable and time efficient faction, provides them valuable information. That information is essential for those agents to comprehend the fully grid operation and economic benefits that can arise from the smart management of their flexible assets. House load profile, photovoltaic (PV) generation forecast, storage equipment and flexible loads as well as pre-defined costumer preferences are accounted when formulating the problem. Support Vector Data Description (SVDD) is used to build a model capable of identifying feasible HEMS flexibility offers. The proposed algorithm performs efficiently when identifying the feasibility of multi-temporal flexibility offers.

2017

Predictive management of low-voltage grids

Authors
Reis, M; Garcia, A; Bessa, R; Seca, L; Gouveia, C; Moreira, J; Nunes, P; Matos, PG; Carvalho, F; Carvalho, P;

Publication
CIRED - Open Access Proceedings Journal

Abstract