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Projeto de investigação
Energy Box - development and implementation of a demand-responsive energy management system
Financiador
Autores
Publicações
Methodology to simulate the impact of a large deployment of a residential energy management system in the electricity grid
Publication . Miguel, Pedro; Neves, Luís; Martins, A. Gomes
The purpose of this work is to provide an insight for a possible methodology to implement demand response strategies at a city scale. The objective is to determine a range of values for the energy and power that can be made available through the large deployment of a residential energy management system. This work can help the distribution system operator to assess the impact of the usage of such technology at the grid level. The paper describes a methodology that identifies the start of operation cycles of appliances and other loads on a given general load diagram, enabling the simulation of load shifting caused by the operation of residential energy management systems. A simulation of an hypothetical 20% deployment of a residential energy management system on the city of Coimbra in Portugal, was performed. The results show the release of almost 3% of the demand on periods of higher price, but also the occurrence of a pronounced peak during the night period, an occurrence which may need to be dealt with, and for which some solutions are proposed.
A multi-objective GRASP procedure for reactive power compensation planning
Publication . Antunes, Carlos Henggeler; Oliveira, Eunice; Lima, Paulo
A multi-objective approach based on the GRASP (Greedy Randomized Adaptive Search Procedure) meta-heuristic is proposed to provide decision support in the problem of locating and sizing capacitors for reactive power compensation in electrical radial distribution networks. The installation of capacitors (local sources of reactive power) in the network is aimed at correcting the power factor to improve the quality of service, particularly the network voltage profile, and reduce energy losses and power peak. The mathematical model explicitly considers two conflicting objective functions: the minimization of the network active losses and the minimization of the capacitor installation cost. An algorithmic approach based on GRASP is presented for the characterization of the non-dominated solution set.
Short-term load forecasting based on support vector regression and load profiling
Publication . Sousa, João C.; Jorge, Humberto M.; Neves, Luís P.
The article proposes a methodology to forecast the electric load for the 24 h of the following day based on support vector regression. The study considers 24 distinct models, one for each predicted hour, where each individual model is treated independently. Its objective is to find the optimal combination of support vector machine parameters that could generalize low forecasting errors, using simulated annealing as a metaheuristic. The adopted methodology is compared to concurrent methods based on neural networks when applied to a simulated load diagram (to illustrate a distribution feeder supplying a sample of 740 consumers). The results have proven its effectiveness with mean absolute percentage errors being less than 5% for testing samples. The study also focuses on evaluating the potential benefits of adopting load profiling information as input in support vector regression, giving a consistent proof of its importance.
Unidades organizacionais
Descrição
Palavras-chave
Demand-responsive programs,Energy efficiency,Energy management systems,Energy decision support systems, Engineering and technology ,Engineering and technology/Environmental engineering
Contribuidores
Financiadores
Entidade financiadora
Fundação para a Ciência e a Tecnologia, I.P.
Programa de financiamento
Concurso de Projectos de Investigação Científica e Desenvolvimento Tecnológico no Âmbito do Acordo de Cooperação entre Portugal e o MIT - 2009
Número da atribuição
MIT/SET/0018/2009
