8 research outputs found
A new branch and cut approach applied to the long-term transmission expansion planning problem
Neste artigo propomos um algoritmo branch and cut com novas inequações específicas ao problema de planejamento da expansão de redes de transmissão de energia elétrica. Todas as inequações propostas neste trabalho são válidas tanto para os modelos lineares como para os modelos não lineares do problema. Os testes computacionais têm mostrado a eficiência do método proposto neste trabalho quando aplicado a subsistemas reais brasileiros e ao sistema colombiano
Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial
Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt
Fuzzy decision making and Tabu search applied to planning the expansion of transmission systems
Neste trabalho é proposta uma nova técnica de solução para resolver o problema de planejamento da expansão de sistemas de transmissão estático através da introdução da tomada de decisão fuzzy. Na técnica apresentada neste trabalho, a tomada de decisão fuzzy é aplicada para o desenvolvimento de um algoritmo heurístico construtivo. O sistema fuzzy é utilizado para contornar alguns problemas críticos das heurísticas que utilizam o índice de sensibilidade como guia para inserção de novas linhas. A heurística apresentada nesse trabalho é baseada na técnica dividir para conquistar. Verificou-se que a deficiência das heurísticas construtivas é decorrente da decisão de inserir novas linhas baseada em valores não seguros encontrados através da solução do modelo utilizado. Para contornar tal deficiência, sempre que surgirem valores não seguros divide-se o problema original em dois subproblemas, um que analisa a qualidade da resposta para o caso em que a linha é inserida e outro para verificar a qualidade da resposta para o caso em que a linha não é inserida. A tomada de decisão fuzzy é utilizada para decidir sobre quando dividir o problema em dois novos subproblemas. Utilizou-se o modelo cc com a estratégia de Villasana-Garver-Salon para realizar a modelagem da rede elétrica para os problemas da expansão de sistemas de transmissão aqui propostos. Ao serem realizados testes em sistemas de pequeno, médio e grande portes certificou-se que o método pode encontrar a solução ótima de sistemas de pequeno e médio portes. Porém, a solução ótima dos sistemas de grande porte testados não foi encontrada. Para melhorar a qualidade da solução encontrada utilizou, em uma segunda fase, a metaheurística busca tabu. A busca tabu utiliza o modelo cc. Os resultados se mostraram bastante promissores. Os testes foram realizados em alguns sistemas reais brasileiros e com o sistema real colombiano.A new solution technique to solve the long-term static transmission expansion planning (TEP) problem based on fuzzy decision making is proposed. The technique applies the concepts of fuzzy decision making in a constructive heuristic algorithm. The fuzzy system is used to circumvent some critical problems of heuristics that use sentivity indices as a guide for insertion and construction of new lines. The heuristic algorithm proposed in this work is based on the divide and conquer technique. It has been verified that the deficiency of the constructive heuristics is due to the decision of inserting new lines based only on information given by the index, which usually is calculated from a relaxed mathematical representation of the problem and can become less accurate during the solution process. In order to be able to deal with such problem, whenever the quality of the index decreases, the original problem is divided into two sub-problems: one examines the quality of the solution when the transmission line indicated by the sensitivity index is inserted and the other subproblem checks the opposite. Fuzzy decision-making is used to decide the moment to divide the problem into two subproblems based on other information. The hybrid linear model is used to model the long-term transmission expansion planning problem and is used in the proposed algorithm. Tests was done with systems of small-term, medium-term and long-term. The optimal solution of small-term and medium-term was foundo using just the construtive heuristic algorithm with fuzzy decision-making. To deal with long-term systems was used the solutions of the construtive heuristic algorithm with fuzzy decision-making to init a tabu search. The tabu search uses the dc model. The results are very promising. The test was done with some real brazilian systems and with the real colombian system
Development of mathematical models, sequential and parallel algorithms for transmission expansion planning
O principal objetivo deste estudo é propor uma nova metodologia para lidar com o problema de Planejamento da Expansão de Redes de Transmissão de Energia Elétrica com Múltiplos Cenários de Geração (PERTEEG). Com a metodologia proposta neste trabalho almeja-se construir planos de expansão de redes de transmissão de energia elétrica que sejam capazes de, no menor custo de investimento possível, satisfazer às novas exigências dos sistemas elétricos modernos, tais como construção de redes de transmissão livres de congestionamento e robustas à incerteza em relação aos cenários de geração futuros. Através de estudos realizados na literatura do problema, verificou-se que novos modelos e metodologias de abordagem do PERTEEG se fazem necessários. Ao se modelar o PERTEEG visando construir redes de transmissão que contornem as incertezas em relação aos cenários de geração futuros e concomitantemente minimizar o custo de investimento para a expansão do sistema, o planejador se depara com um problema de otimização multiobjetivo. Existem na literatura da pesquisa operacional diversos algoritmos que visam lidar com problemas multiobjetivos. Nesta tese, foram aplicados dois desses algoritmos: Nondominated Sorting Genetic Algorithms-II (NSGA-II) e SPEA2: Strength Pareto Evolutionary Algorithm (SPEA2). Em primeira análise, se destacou uma das maiores dificuldade de lidar com o PERTEEG, a saber, o esforço computacional elevado. Por isso, vislumbrou-se que uma possível solução para contornar esta dificuldade esteja na computação paralela. Para se confirmar esta suspeita, nesta tese foram implementadas versões paralelas dos algoritmos sequenciais testados. A qualidade das soluções encontradas pelos algoritmos foram bastante superiores às soluções encontradas pelos algoritmos sequenciais. Neste trabalho também será mostrado que as soluções ótimas clássicas considerando somente o objetivo de m´mínimo custo são incapazes de atender às novas necessidades dos sistemas elétricos de potência. Testes computacionais foram realizados e analisados neste trabalho. Considerando as metodologias conhecidas na literatura para medição da qualidade das soluções encontradas por algoritmos multiobjetivo, se pode afirmar de que a proposta de abordagem do problema de PERTEEG pode ser viável tanto do ponto de vista de engenharia como do ponto de vista da computação matemática.The main objective of this study is to propose a new methodology to deal with the long-term transmission system expansion planning with multiple generation dispatch scenarios problem (TEP-MDG). With the methodology proposed in this thesis we aim to build expansion plans with minimum investment cost and also capable of meeting the new demands of modern electrical systems, such as uncertainty about the future generation scenarios and congestion in the transmission systems. By modeling the TEP-MDG aiming to build transmission networks that circumvent the uncertainties regarding the future generation scenarios and simultaneously minimize the cost of investment for transmission networks expansion, the planner faces a multiobjective optimization problem. One can find various algorithms that aim to deal with multiobjective problems in the literature of operations research. In this thesis, we apply two of these algorithms: Nondominated Sorting Genetic Algorithms-II (NSGA-II) and SPEA2: Strength Pareto Evolutionary Algorithm (SPEA2). In a first analysis, we have found that the most critical issue with the TEP-MOG is the high computational demand. Therefore, in order to circumvent this difficulty we have implemented parallel versions of the sequential algorithms tested. In performed tests, the parallel algorithms have found solutions of superior quality than the solutions found by the sequential algorithms. In this thesis we also show that optimal solutions considering only the classical least cost objective are unable to meet the electric power systems new demands. Tests have been performed and analyzed in this work. By considering the methods known in the literature convinced to measure the quality of solutions found by multiobjective algorithms, we concluded that the proposed approach to TEP-MDG may be feasible from the point of view of both engineering and computational mathematics
Combined heuristic with fuzzy system to transmission system expansion planning
A heuristic algorithm that employs fuzzy logic is proposed to the power system transmission expansion planning problem. The algorithm is based on the divide to conquer strategy, which is controlled by the fuzzy system. The algorithm provides high quality solutions with the use of fuzzy decision making, which is based on nondeterministic criteria to guide the search. The fuzzy system provides a self-adjusting mechanism that eliminates the manual adjustment of parameters to each system being solved. (C) 2010 Elsevier B.V. All rights reserved.State of Sao Paulo Research Foundation (FAPESP), BrazilCoordenacao de Aperfeicoamento de Pessoal de Nivel Superior (CAPES), Brazi
Uma nova abordagem branch and cut aplicada ao problema de planejamento da expansão de redes de transmissão de grande porte
A figueira
A figueira, originária da região da Ásia Menor e da Síria, foi cultivada e selecionada pela primeira vez pelos árabes e judeus, em uma região situada ao sudoeste da Ásia. É uma das mais antigas plantas cultivadas no mundo, sendo considerada pelos povos antigos como símbolo de honra e fertilidade. A cultura da figueira é interessante para o Brasil, que vem se destacando como um grande fornecedor de figos para o mundo, com 20% a 30% do volume total produzido no país destinado para a exportação. Neste livro, organizado por Sarita Leonel e Aloísio Costa Sampaio, diversas abordagens sobre esse fruto, tanto em seu aspecto econômico como biológico e até mesmo cultural, são feitas por especialistas, que procuram fazer uma revisão bibliográfica sobre a figueira, demonstrando sua importância ao longo da história da humanidade, com referências registradas em escritos religiosos, políticos, artísticos, medicinais e gastronômicos
Rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART): Study protocol for a randomized controlled trial
Background: Acute respiratory distress syndrome (ARDS) is associated with high in-hospital mortality. Alveolar recruitment followed by ventilation at optimal titrated PEEP may reduce ventilator-induced lung injury and improve oxygenation in patients with ARDS, but the effects on mortality and other clinical outcomes remain unknown. This article reports the rationale, study design, and analysis plan of the Alveolar Recruitment for ARDS Trial (ART). Methods/Design: ART is a pragmatic, multicenter, randomized (concealed), controlled trial, which aims to determine if maximum stepwise alveolar recruitment associated with PEEP titration is able to increase 28-day survival in patients with ARDS compared to conventional treatment (ARDSNet strategy). We will enroll adult patients with ARDS of less than 72 h duration. The intervention group will receive an alveolar recruitment maneuver, with stepwise increases of PEEP achieving 45 cmH(2)O and peak pressure of 60 cmH2O, followed by ventilation with optimal PEEP titrated according to the static compliance of the respiratory system. In the control group, mechanical ventilation will follow a conventional protocol (ARDSNet). In both groups, we will use controlled volume mode with low tidal volumes (4 to 6 mL/kg of predicted body weight) and targeting plateau pressure <= 30 cmH2O. The primary outcome is 28-day survival, and the secondary outcomes are: length of ICU stay; length of hospital stay; pneumothorax requiring chest tube during first 7 days; barotrauma during first 7 days; mechanical ventilation-free days from days 1 to 28; ICU, in-hospital, and 6-month survival. ART is an event-guided trial planned to last until 520 events (deaths within 28 days) are observed. These events allow detection of a hazard ratio of 0.75, with 90% power and two-tailed type I error of 5%. All analysis will follow the intention-to-treat principle. Discussion: If the ART strategy with maximum recruitment and PEEP titration improves 28-day survival, this will represent a notable advance to the care of ARDS patients. Conversely, if the ART strategy is similar or inferior to the current evidence-based strategy (ARDSNet), this should also change current practice as many institutions routinely employ recruitment maneuvers and set PEEP levels according to some titration method.13Hospital do Coracao (HCor) as part of the Program 'Hospitais de Excelencia a Servico do SUS (PROADI-SUS)'Brazilian Ministry of Healt