Detalhes
Nome
David Emanuel RuaCluster
EnergiaCargo
Coordenador Adjunto de CentroDesde
01 outubro 2009
Nacionalidade
PortugalCentro
Centro de Sistemas de EnergiaContactos
+351222094230
david.e.rua@inesctec.pt
2022
Autores
Tosic, M; Coelho, FA; Nouwt, B; Rua, DE; Tomcic, A; Pesic, S;
Publicação
WSDM'22: PROCEEDINGS OF THE FIFTEENTH ACM INTERNATIONAL CONFERENCE ON WEB SEARCH AND DATA MINING
Abstract
2022
Autores
Abreu C.; Rua D.; Lopes J.P.;
Publicação
Lecture Notes in Electrical Engineering
Abstract
2021
Autores
Menci, SP; Bessa, RJ; Herndler, B; Korner, C; Rao, BV; Leimgruber, F; Madureira, AA; Rua, D; Coelho, F; Silva, JV; Andrade, JR; Sampaio, G; Teixeira, H; Simoes, M; Viana, J; Oliveira, L; Castro, D; Krisper, U; Andre, R;
Publicação
ENERGIES
Abstract
2019
Autores
Abreu, C; Soares, I; Oliveira, L; Rua, D; Machado, P; Carvalho, L; Pecas Lopes, JAP;
Publicação
IET RENEWABLE POWER GENERATION
Abstract
Home energy management systems (HEMSs) are important platforms to allow consumers the use of flexibility in their consumption to optimise the total energy cost. The optimisation procedure embedded in these systems takes advantage of the nature of the existing loads and the generation equipment while complying with user preferences such as air temperature comfort configurations. The complexity in finding the best schedule for the appliances within an acceptable execution time for practical applications is leading not only to the development of different formulations for this optimisation problem, but also to the exploitation of non-deterministic optimisation methods as an alternative to traditional deterministic solvers. This study proposes the use of genetic algorithms (GAs) and the cross-entropy method (CEM) in low-power HEMS to solve a conventional mixed-integer linear programming formulation to optimise the total energy cost. Different scenarios for different countries are considered as well as different types of devices to assess the HEMS operation performance, namely, in terms of outputting fast and feasible schedules for the existing devices and systems. Simulation results in low-power HEMS show that GAs and the CEM can produce comparable solutions with the traditional deterministic solver requiring considerably less execution time.
2018
Autores
Soares, FJ; Rua, D; Gouveia, C; Tavares, BD; Coelho, AM; Lopes, JAP;
Publicação
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.
Teses supervisionadas
2017
Autor
Emil Goyushzada
Instituição
UP-FEUP
2017
Autor
Cláudia Rocha Abreu
Instituição
UP-FEUP
2017
Autor
Ana Inês Soares
Instituição
UP-FEP
The access to the final selection minute is only available to applicants.
Please check the confirmation e-mail of your application to obtain the access code.