The Experts below are selected from a list of 11895 Experts worldwide ranked by ideXlab platform
Chiaming Chen - One of the best experts on this subject based on the ideXlab platform.
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pareto optimal demand response based on energy costs and load factor in smart grid
IEEE Transactions on Industrial Informatics, 2020Co-Authors: Weiyu Chiu, Juiting Hsieh, Chiaming ChenAbstract:Demand response for residential users is essential to the realization of modern smart grids. In this paper, we propose a Multiobjective Approach to designing a demand response program that considers the energy costs of residential users and the load factor of the underlying grid. A Multiobjective optimization problem (MOP) is formulated and Pareto optimality is adopted. Stochastic search methods of generating feasible values for decision variables are proposed. Theoretical analysis is performed to show that the proposed methods can effectively generate and preserve feasible points during the solution process, which comparable methods can hardly achieve. A Multiobjective evolutionary algorithm is developed to solve the MOP, producing a Pareto optimal demand response (PODR) program. Simulations reveal that the proposed method outperforms the comparable methods in terms of energy costs while producing a satisfying load factor. The proposed PODR program is able to systematically balance the needs of the grid and residential users.
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user centric Multiobjective Approach to privacy preservation and energy cost minimization in smart home
IEEE Systems Journal, 2019Co-Authors: Hsuanhao Chang, Weiyu Chiu, Hongjian Sun, Chiaming ChenAbstract:This paper investigates smart home energy management in consideration of tradeoffs between residential privacy and energy costs. A Multiobjective Approach that minimizes energy costs and maximizes privacy protection is proposed. The Approach leads to a Multiobjective optimization problem in which the two objectives are addressed in separate dimensions. A hybrid algorithm that employs a stochastic search for power scheduling of home appliances and uses deterministic battery control is developed accordingly. The proposed Approach can avoid some drawbacks faced by conventional weighted-sum methods for Multiobjective optimization: the combination of objectives in different units, heuristic assignment of weighting coefficients, and possible misrepresentation of user preference. In contrast with existing studies on residential user privacy that assume limited controllability of appliances to facilitate algorithm development, this Approach addresses the use of flexible appliances in smart homes. Simulations reveal that the proposed Approach can maintain a reasonable energy cost while robustly preserving user privacy at a sensible level; its convergence rate is comparable to existing Multiobjective evolutionary algorithms while the proposed Approach yields a better level of convergence; the proposed Approach is scalable to a group of smart houses, achieving a superior peak-to-average ratio that is beneficial to the stability of the underlying power grid.
Vladimiro Miranda - One of the best experts on this subject based on the ideXlab platform.
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application of evolutionary Multiobjective algorithms for solving the problem of energy dispatch in hydroelectric power plants
International Conference on Evolutionary Multi-criterion Optimization, 2015Co-Authors: Carolina Gil Marcelino, Elizabeth F Wanner, Leonel M Carvalho, Paulo Eduardo Maciel De Almeida, Vladimiro MirandaAbstract:The Brazilian population increase and the purchase power growth have resulted in a widespread use of electric home appliances. Consequently, the demand for electricity has been growing steadily in an average of 5 % a year. In this country, electric demand is supplied predominantly by hydro power. Many of the power plants installed do not operate efficiently from water consumption point of view. Energy Dispatch is defined as the allocation of operational values to each turbine inside a power plant to meet some criteria defined by the power plant owner. In this context, an optimal scheduling criterion could be the provision of the greatest amount of electricity with the lowest possible water consumption, i.e. maximization of water use efficiency. Some power plant operators rely on “Normal Mode of Operation” (NMO) as Energy Dispatch criterion. This criterion consists in equally dividing power demand between available turbines regardless whether the allocation represents an efficient good operation point for each turbine. This work proposes a Multiobjective Approach to solve electric dispatch problem in which the objective functions considered are maximization of hydroelectric productivity function and minimization of the distance between NMO and “Optimized Control Mode” (OCM). Two well-known Multiobjective Evolutionary Algorithms are used to solve this problem. Practical results have shown water savings in the order of million \(m^{3}/s\). In addition, statistical inference has revealed that SPEA2 algorithm is more robust than NSGA-II algorithm to solve this problem.
Andrew Lewis - One of the best experts on this subject based on the ideXlab platform.
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differential evolution for rfid antenna design a comparison with ant colony optimisation
Genetic and Evolutionary Computation Conference, 2011Co-Authors: James Montgomery, Marcus Randall, Andrew LewisAbstract:Differential evolution (DE) has been traditionally applied to solving benchmark continuous optimisation functions. To enable it to solve a combinatorially oriented design problem, such as the construction of effective radio frequency identification antennas, requires the development of a suitable encoding of the discrete decision variables in a continuous space. This study introduces an encoding that allows the algorithm to construct antennas of varying complexity and length. The DE algorithm developed is a Multiobjective Approach that maximises antenna efficiency and minimises resonant frequency. Its results are compared with those generated by a family of ant colony optimisation (ACO) metaheuristics that have formed the standard in this area. Results indicate that DE can work well on this problem and that the proposed solution encoding is suitable. On small antenna grid sizes (hence, smaller solution spaces) DE performs well in comparison to ACO, while as the solution space increases its relative performance decreases. However, as the ACO employs a local search operator that the DE currently does not, there is scope for further improvement to the DE Approach.
Alberto Luiz - One of the best experts on this subject based on the ideXlab platform.
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Otimização multiobjetivo para a operação de sistemas urbanos de abastecimento de agua
[s.n.], 2018Co-Authors: Alberto LuizAbstract:Orientador : Paulo Sergio Franco BarbosaTese (doutorado) - Universidade Estadual de Campinas, Faculdade de Engenharia CivilResumo: A operação adequada dos sistemas urbanos de abastecimento de água está diretamente relacionada à qualidade da oferta do produto água à população. A otimização desses sistemas surge como alternativa para buscar soluções eficientes e também eficazes e garantindo assim a gestão dos sistemas. Na literatura relacionada ao assunto, verifica-se o desenvolvimento de muitos trabalhos com a aplicação e o desenvolvimento de rotinas computacionais de otimização específicas para redes hidráulicas. Contudo, observam-se dificuldades nas ações dos decisores dos sistemas, pois, na realidade, existem objetivos operacionais conflitantes e que merecem atenção. Diante desse quadro, desenvolveu-se uma metodologia para aplicação de otimização multiobjetivo ao problema da operação de redes hidráulicas. A metodologia utiliza o software de programação linear GAMS/CONOPT com recursos iterativos e a abordagem multiobjetivo do problema se faz com a aplicação do Método dos Pesos. O estudo de caso é feito sobre o setor alça leste do sistema adutor metropolitano da grande São Paulo. Como resultados, apresentam-se curvas de soluções nãodominadas para as funções objetivo aplicadas aos sistemas de abastecimento em estudoAbstract: The proper operation of the urban water supply systems has a direct impact on the water to be provided to the quality consumers. The optimization of these systems appears as an alternative to search efficient and also efficient solutions, thus guaranteeing the management of the systems. Many research works have been reported in the literature describing applications and specific computational routines for optimization of hydraulics networks. However, some difficulties for taking decisions have also been reported since there are conflicting objectives in the real word context, which deserve proper attention. A Multiobjective Approach for operation planning of hydraulic networks is developed considering that context. The methodology uses the software of linear programming GAMS/CONOPT with iterative procedures. The Multiobjective formulation of the problem uses the Weighting Method. The case study is made on the East sector of the metropolitan system of the great São Paulo. The results present solutions as the typical non-dominated curvesDoutoradoRecursos HidricosDoutor em Engenharia Civi
Alberto Luiz Francato - One of the best experts on this subject based on the ideXlab platform.
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Otimização multiobjetivo para a operação de sistemas urbanos de abastecimento de agua
2014Co-Authors: Alberto Luiz FrancatoAbstract:Resumo: A operação adequada dos sistemas urbanos de abastecimento de água está diretamente relacionada à qualidade da oferta do produto água à população. A otimização desses sistemas surge como alternativa para buscar soluções eficientes e também eficazes e garantindo assim a gestão dos sistemas. Na literatura relacionada ao assunto, verifica-se o desenvolvimento de muitos trabalhos com a aplicação e o desenvolvimento de rotinas computacionais de otimização específicas para redes hidráulicas. Contudo, observam-se dificuldades nas ações dos decisores dos sistemas, pois, na realidade, existem objetivos operacionais conflitantes e que merecem atenção. Diante desse quadro, desenvolveu-se uma metodologia para aplicação de otimização multiobjetivo ao problema da operação de redes hidráulicas. A metodologia utiliza o software de programação linear GAMS/CONOPT com recursos iterativos e a abordagem multiobjetivo do problema se faz com a aplicação do Método dos Pesos. O estudo de caso é feito sobre o setor alça leste do sistema adutor metropolitano da grande São Paulo. Como resultados, apresentam-se curvas de soluções nãodominadas para as funções objetivo aplicadas aos sistemas de abastecimento em estudoAbstract: The proper operation of the urban water supply systems has a direct impact on the water to be provided to the quality consumers. The optimization of these systems appears as an alternative to search efficient and also efficient solutions, thus guaranteeing the management of the systems. Many research works have been reported in the literature describing applications and specific computational routines for optimization of hydraulics networks. However, some difficulties for taking decisions have also been reported since there are conflicting objectives in the real word context, which deserve proper attention. A Multiobjective Approach for operation planning of hydraulic networks is developed considering that context. The methodology uses the software of linear programming GAMS/CONOPT with iterative procedures. The Multiobjective formulation of the problem uses the Weighting Method. The case study is made on the East sector of the metropolitan system of the great São Paulo. The results present solutions as the typical non-dominated curve
