2004
Authors
Armando M. Leite da Silva; Djalma M. Falcão; Vladimiro Miranda; Mauro Augusto da Rosa
Publication
Proceedings of the IX SEPOPE - IX Symposium of Specialists in Electric Operational and Expansion Planning, Rio de Janeiro, Brazil
Abstract
2004
Authors
Armando M. Leite da Silva; Luiz Antônio F. Manso; Leonidas C. Resende; Vladimiro Miranda;
Publication
Actas do ENER'04 - Simpósio sobre Energias Renováveis em Portugal, Figueira da Foz, Portugal
Abstract
2004
Authors
Armando M. Leite da Silva; Manuel Matos; João Abel Peças Lopes; Vladimiro Miranda;
Publication
Proceedings of PMAPS'2004 - 8th International Conference on Probability Methods Applied to Power Systems, Ames, Iowa, USA
Abstract
2007
Authors
Armando Leite da Silva; Luiz Antônio Manso; Warlley S. Sales; Leonidas Resende; Manuel João Aguiar; Manuel Matos; Peças Lopes; Vladimiro Miranda
Publication
ETEP - European Transactions on Electrical Power, vol.17, no.4, pp.387-400
Abstract
This paper presents an application of Monte Carlo chronological simulation to evaluate the reserve requirements of
generating systems, considering renewable energy sources. The idea is to investigate the behavior of reliability
indices, including those from the well-being analysis, when the major portion of the energy sources is renewable.
Renewable in this work comprises hydroelectric, mini-hydroelectric, and wind power sources. Case studies on a
configuration of the Portuguese Generating System are presented and discussed. Copyright#2006 JohnWiley &
Sons, Ltd.
2008
Authors
Leónidas Chaves de Resende; Armando Leite da Silva; Luiz A. F. Manso; Vladimiro Miranda
Publication
Proceedings of SBSE 2008 - Simpósio Brasileiro de Sistemas Eléctricos 2008, Belo Horizonte (MG), Brasil
Abstract
2011
Authors
Warlley Salles; Armando Leite da Silva; Mauro Rosa; Luiz Manso
Publication
XXISNPTEE - Seminário Nacional de Produção e Transmissão de Energia Eletrica, Florianópolis, Brasil
Abstract
This paper proposes a new methodology based on a chronological Monte Carlo simulation to evaluate the operating reserve
requirements of generating systems with large amounts of wind energy. The main idea is to build a new probabilistic approach
to assess several performance indices bearing in mind the long-term planning. Besides the conventional reliability indices and those
obtained from the well-being framework, a new set of indices are proposed to measure the availability of different types of operating
reserve. The application of the proposed methodology is illustrated through case studies carried out using some configurations of the
IEEE RST-96 reliability test system. Moreover, an example of application to generating maintenance scheduling is shown.
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