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Details

  • Name

    David Emanuel Rua
  • Cluster

    Power and Energy
  • Role

    Senior Researcher
  • Since

    01st October 2009
004
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.

2017

Multi-temporal Optimal Power Flow for voltage control in MV networks using Distributed Energy Resources

Authors
Meirinhos, JL; Rua, DE; Carvalho, LM; Madureira, AG;

Publication
ELECTRIC POWER SYSTEMS RESEARCH

Abstract
Large-scale integration of variable Renewable Energy Sources (RES) brings significant challenges to grid operation that require new approaches and tools for distribution system management, particularly concerning voltage control. Therefore, an innovative approach for voltage control at the MV level is presented. It is based on a preventive day-ahead analysis that uses data from load/RES forecasting tools to establish a plan for operation of the different Distributed Energy Resources (DER) for the next day. The approach is formulated as a multi-temporal Optimal Power Flow (OPF) solved by a meta-heuristic, used to tackle complex multi-dimensional problems. The tuning of the meta-heuristic parameters was performed to ensure the robustness of the proposed approach and enhance the performance of the algorithm. It was tested through simulation in a large scale test network with good results.

2017

AnyPLACE - An Energy Management System to Enhance Demand Response Participation

Authors
Abreu, C; Rua, D; Costa, T; Machado, P; Pecas Lopes, JAP; Heleno, M;

Publication
2017 IEEE MANCHESTER POWERTECH

Abstract
This paper describes an energy management system that is being developed in the AnyPLACE project to support new energy services, like demand response, in residential buildings. In the project end-user interfaces are designed and implemented to allow the input of preferences regarding the flexible use of shiftable and thermal appliances. Monitoring and self-learning algorithm are used to allow additional information to be collected and an automation platform is available for the management and control of appliances. An energy management algorithm is presented that processes end-user preferences and devices characteristics to produce an optimal dispatch considering demand response incentives. Results show the successful implementation of an optimized energy scheduling.

2016

A Methodology for the Evaluation and Deployment of Wireless Multi-hop Networks in Smart Grids

Authors
Rua, D; Ribeiro, F; Campos, R; Ruela, J; Pecas Lopes, JAP;

Publication
2016 POWER SYSTEMS COMPUTATION CONFERENCE (PSCC)

Abstract
Smart grids aim at ensuring a secure, reliable and efficient operation of power systems and for that purpose they need communications infrastructures capable of meeting different requirements. Current and emerging wireless multi-hop solutions based on standard technologies are strong candidates for communications networks associated and integrated with electric distribution grids but a suitable methodology to evaluate and deploy them is missing. This paper presents a holistic methodology supported by contextual information used to generate different scenarios of distribution grids and to evaluate and deploy wireless communications networks for smart grids. Simulation results show that the methodology is suitable for the evaluation of wireless multi-hop networks in the smart grid context and prove that the performance of such networks meets the expected requirements of different applications.

2016

Experimental validation of smart distribution grids: Development of a microgrid and electric mobility laboratory

Authors
Gouveia, C; Rua, D; Ribeiro, F; Miranda, L; Rodrigues, JM; Moreira, CL; Pecas Lopes, JAP;

Publication
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS

Abstract
The development of the Smart Grid concept is the pathway for assuring high reliability, control and management requirements in future electric power distribution systems. The Smart Grid can be defined as an electricity network supported by an intelligent infrastructure, both hardware and software, capable of accommodating high shares of Distributed Energy Resources. Within this line, a Smart Grid laboratorial infrastructure was developed, being dedicated to advanced research and demonstration activities. The adopted laboratorial architecture was developed according to the Microgrid concept, where Electric Vehicles are regarded as active and flexible players. Following the laboratory implementation, this paper provides a detailed description of its infrastructure and experimental capabilities, presenting and discussing different experimental set-ups and associated results.

Supervised
thesis

2017

Energy Management Service Design - an exploratory case study for Portuguese household

Author
Emil Goyushzada

Institution
UP-FEUP

2017

DESIGN AND IMPLEMENTATION OF SMART STRATEGIES TOWARD ENHANCED ENERGY MANAGEMENT OF BUILDINGS

Author
Cláudia Rocha Abreu

Institution
UP-FEUP

2016

Data mining no âmbito da monitorização não-intrusiva de cargas

Author
Ana Inês Soares Pinto Oliveira Soares

Institution
UP-FEP