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16 results on '"Manso, Luiz A. F."'

4. Transmission expansion planning of large power networks via constructive metaheuristics with security constraints and load uncertainty analysis.

Author

Assis, Fernando A., Leite da Silva, Armando M., Manso, Luiz A. F., and Castro, José F. C.

Subjects
GENETIC algorithms, UNCERTAINTY, INFORMATION networks, HEURISTIC, METAHEURISTIC algorithms, HEURISTIC algorithms, PROBLEM solving
Abstract

Summary: In this paper, the static transmission expansion planning (TEP) problem is solved for real large electrical networks. Different generation and load scenarios are considered and the "N‐1" security criterion is ensured. The solution of the problem is achieved based on a constructive metaheuristic algorithm (CMA‐TEP) specially developed for large systems. The proposed method performs a gradual and parallel process of constructing solutions (expansion plans), which incorporates heuristics and procedures generally used by planning engineers. Operational information for the intact network condition and under contingencies is used during the constructive process, to identify reinforcements to be added (most attractive) to or removed (less effective) from the network being set up. Moreover, mechanisms of recombination, perturbation, selection, refinement, and depuration of solutions are also employed during the constructive process. The linear DC network model, including ohmic transmission losses, is used throughout the entire constructive process. The robustness and efficiency of the proposed CMA‐TEP method is tested in a configuration of the Brazilian network, considering two hydrological scenarios: dry and humid. Comparisons based on statistical performance indices are also carried out with specialized genetic algorithms. [ABSTRACT FROM AUTHOR]

Published
2021
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7. Modelagem de cargas variantes no tempo na avaliação de confiabilidade composta via simulação Monte Carlo não-seqüencial

Author

Manso,Luiz A. F. and Silva,Armando M. Leite da

Subjects
uncertainty modeling, simulação Monte Carlo, Confiabilidade composta, generation and transmission reliability, modelagem de incertezas, Monte Carlo simulation, confiabilidade da geração e transmissão, Composite reliability
Abstract

Este artigo apresenta uma nova metodologia para avaliar a confiabilidade de sistemas compostos de geração e transmissão considerando cargas variantes no tempo. Baseado na simulação Monte Carlo não-seqüencial, o método proposto utiliza um modelo de Markov capaz de representar diferentes padrões cronológicos de carga para cada área ou barra do sistema. Um novo processo de estimação é proposto para avaliar o índice de freqüência de corte de carga (LOLF - loss of load frequency), sem a necessidade de presumir comportamento coerente para o sistema. Exemplos utilizando os sistemas MRTS (Modified IEEE Reliability Test System) e SSB (Sul-Sudeste Brasileiro) são apresentados e discutidos. This paper presents a new methodology to evaluate the reliability of composite generation and transmission systems considering time varying loads. Based on non-sequential Monte Carlo simulation, the proposed method uses a special Markov load model to represent different chronological load patterns per area or bus. A new estimating process, named one step forward state transition, is proposed to evaluate LOLF (loss of load frequency) index, without assuming any coherent behavior in the system. Case studies using the MRTS (Modified IEEE Reliability Test System) and the SSB (Brazilian South-Southeastern System) are presented and discussed.

Published
2004

9. Impacto de programas de gerenciamento da demanda no custo da perda de carga

Author

Manso,Luiz A. F. and Silva,Armando M. Leite da

Subjects
composite reability, uncertainty modeling, Load management, Gerenciamento da demanda, simulação Monte Carlo, custos de interrupção, demand-side management, interruption costs, confiabilidade composta, modelagem de incertezas, Monte Carlo simulation
Abstract

Este artigo descreve uma aplicação da simulação Monte Carlo pseudo-cronológica em estudos de impacto do gerenciamento da demanda no custo da perda de carga. A simulação pseudo-cronológica apresenta a eficiência computacional da simulação não-seqüencial e a precisão da simulação cronológica, podendo ser utilizada para representar diferentes padrões comportamentais para as cargas das diversas áreas ou barras de um sistema. O sistema SSB (Sistema Sul-Sudeste Brasileiro) é utilizado para testes, sendo avaliados os impactos obtidos por diferentes políticas de gerenciamento da carga na área Rio. This paper presents an application of pseudo-chronological Monte Carlo simulation algorithm to investigate the effects of load management on interruption cost. The pseudo-chronological simulation, which retains the computational efficiency of non-sequential simulation and the accuracy of chronological simulation, can be used to represent different load patterns per area or bus. Case studies on the Brazilian South-Southeastern System (SSB) considering the impact of different load management policies applied to the Rio de Janeiro area are presented and discussed.

Published
2003

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