Quantificando a Confiabilidade de Redes Elétricas: Uma Abordagem via Modelos Markovianos com Recompensas
Resumo
As redes de potência estão passando por uma importante transição. Enquanto essas redes tradicionalmente envolviam fontes de energia centralizadas e redes de distribuição passivas, as novas redes inteligentes contam com geração de energia de forma distribuída, sensores inteligentes e programas inteligentes de adequação entre oferta e demanda. Um dos principais problemas enfrentados nessa transição consiste na avaliação dos ganhos de disponibilidade devido à automação. Neste artigo apresentamos um modelo Markoviano com recompensas para quantificar métricas relacionadas a disponibilidade dessas redes. As métricas generalizam medidas padrões, como o SAIDI e o CAIDI, que são amplamente utilizadas no campo da engenharia elétrica.Referências
Brown, E. R. (2002). Electric Power Distribution Reliability. CRC Press, 2nd edition.
de Souza e Silva, E., Figueiredo, D., and Leão, R. (2009). The TangramII integrated modeling environment for computer systems and networks. SIGMETRICS Perform. Eval. Rev., 36(4):64–69.
de Souza e Silva, E. and Muntz, R. (1992). Métodos Computacionais de Solução de Cadeias de Markov. VIII Escola de Computação.
E. de Souza e Silva and H.R. Gail (2001). The Uniformization Method in Performability Analysis. In Performability Modeling: Techniques and Tools. John Wiley & Sons.
Elmakias, D. (2008). New Computational Methods in Power System Reliability. Springer Publishing Company, Incorporated, 1st edition.
Keshav, S. and Rosenberg, C. (2011). How internet concepts and technologies can help green and smarten the electrical grid. ACM SIGCOMM Computer Communication Review.
Liu, Y. and Trivedi, K. (2006). Survivability quantification: The analytical modeling approach. International Journal of Performability Engineering, 2(1):29–44.
Meyer, J. (1980). On evaluating the performability of degradable computing systems. IEEE Transactions on Computers, 29:720–731.
Meyer, J. F. (1992). Performability: a retrospective and some pointers to the future. Perf. Evaluation, 14:139–156.
Mohagheghi, S., Yang, F., and Falahati, B. (2011). Impact of demand response on distribution system reliability. In Power and Energy Society General Meeting, 2011 IEEE, pages 1–7.
Wang, S., Zhao, W., and Chen, Y. (2008). Distribution system reliability evaluation considering dg impacts. In Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, pages 2603–2607.
Waseem, I. (2008). Impacts of Distributed Generation on the Residential Distributed Network Operation. M.Sc. Thesis, Virginia Polytechnic Institute.
Zhang, J. and Bo, Z. (2010). Research of the impact of distribution generation on distribution network loss. In Universities Power Engineering Conference 2010, pages 1–4.
Zou, K., Keerthipala, W., and Perera, S. (2007). SAIDI minimization of a remote distribution feeder. In AUPEC 2007, pages 1–5.
de Souza e Silva, E., Figueiredo, D., and Leão, R. (2009). The TangramII integrated modeling environment for computer systems and networks. SIGMETRICS Perform. Eval. Rev., 36(4):64–69.
de Souza e Silva, E. and Muntz, R. (1992). Métodos Computacionais de Solução de Cadeias de Markov. VIII Escola de Computação.
E. de Souza e Silva and H.R. Gail (2001). The Uniformization Method in Performability Analysis. In Performability Modeling: Techniques and Tools. John Wiley & Sons.
Elmakias, D. (2008). New Computational Methods in Power System Reliability. Springer Publishing Company, Incorporated, 1st edition.
Keshav, S. and Rosenberg, C. (2011). How internet concepts and technologies can help green and smarten the electrical grid. ACM SIGCOMM Computer Communication Review.
Liu, Y. and Trivedi, K. (2006). Survivability quantification: The analytical modeling approach. International Journal of Performability Engineering, 2(1):29–44.
Meyer, J. (1980). On evaluating the performability of degradable computing systems. IEEE Transactions on Computers, 29:720–731.
Meyer, J. F. (1992). Performability: a retrospective and some pointers to the future. Perf. Evaluation, 14:139–156.
Mohagheghi, S., Yang, F., and Falahati, B. (2011). Impact of demand response on distribution system reliability. In Power and Energy Society General Meeting, 2011 IEEE, pages 1–7.
Wang, S., Zhao, W., and Chen, Y. (2008). Distribution system reliability evaluation considering dg impacts. In Third International Conference on Electric Utility Deregulation and Restructuring and Power Technologies, pages 2603–2607.
Waseem, I. (2008). Impacts of Distributed Generation on the Residential Distributed Network Operation. M.Sc. Thesis, Virginia Polytechnic Institute.
Zhang, J. and Bo, Z. (2010). Research of the impact of distribution generation on distribution network loss. In Universities Power Engineering Conference 2010, pages 1–4.
Zou, K., Keerthipala, W., and Perera, S. (2007). SAIDI minimization of a remote distribution feeder. In AUPEC 2007, pages 1–5.
Publicado
16/07/2012
Como Citar
DINIZ, Morganna; MENASCHÉ, Daniel S.; LEÃO, Rosa M. M.; SILVA, Edmundo de Souza e; AVRITZER, Alberto.
Quantificando a Confiabilidade de Redes Elétricas: Uma Abordagem via Modelos Markovianos com Recompensas. In: WORKSHOP EM DESEMPENHO DE SISTEMAS COMPUTACIONAIS E DE COMUNICAÇÃO (WPERFORMANCE), 11. , 2012, Curitiba/PR.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
.
p. 141-154.
ISSN 2595-6167.
