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Detalhes

Detalhes

  • Nome

    Leonel Magalhães Carvalho
  • Cluster

    Energia
  • Cargo

    Responsável de Área
  • Desde

    18 fevereiro 2008
018
Publicações

2020

Aggregated dynamic model of active distribution networks for large voltage disturbances

Autores
Fulgencio, N; Moreira, C; Carvalho, L; Lopes, JP;

Publicação
Electric Power Systems Research

Abstract

2020

A Hierarchical Optimization Strategy for Energy Scheduling and Volt/var Control in Autonomous Clusters of Microgrids

Autores
Castro, MV; Moreira, C; Carvalho, LM;

Publicação
IET Renewable Power Generation

Abstract

2019

An advanced platform for power system security assessment accounting for forecast uncertainties

Autores
Ciapessoni, E; Cirio, D; Pitto, A; Omont, N; Carvalho, LM; Vasconcelos, MH;

Publicação
International Journal of Management and Decision Making

Abstract

2019

Impact of decision-making models in Transmission Expansion Planning considering large shares of renewable energy sources

Autores
Gomes, PV; Saraiva, JT; Carvalho, L; Dias, B; Oliveira, LW;

Publicação
Electric Power Systems Research

Abstract

2019

Application of genetic algorithms and the cross-entropy method in practical home energy management systems

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.

Teses
supervisionadas

2019

MOCAPIRA - Monte Carlo parallel implementation for reliability assessment

Autor
Inês Maria Afonso Trigo de Freitas Alves

Instituição
UP-FEUP

2015

Impacto do Erro da Previsão Eólica nas Necessidades a Longo-Prazo de Reserva Operacional

Autor
João Teixeira

Instituição
UP-FEUP