A methodology for smart grid reconfiguration
DOI:
https://doi.org/10.21712/lajer.2017.v4.n1.p1-9Resumo
In this work, it is presented a methodology for the reconfiguration of smart grids that is applied to a smart grid formed by two microgrids that can be electrically interconnected in contingency situations. Each microgrid is also connected to an Electric Power System (EPS) when operating in the normal state. Moreover, the smart grid includes energy storage devices (batteries) located at strategic points. Serious faults that isolated the microgrids of the EPS and, moreover, considerably reduced the generation capacity of such microgrids are simulated. The proposed methodology is applied to reconfiguration in scenarios involving cooperation between microgrids and/or the use of energy storage devices. Performance indices are also proposed to enable a quantitative analysis for each scenario. It is shown that intelligent cooperation between microgrids and the smart-use storage energy is the best option for reducing the impacts in a contingency scenarios.Downloads
Não há dados estatísticos.
Referências
Cebrian, J. C. and Kagan, N. Reconfiguration of distribution networks to minimize loss and disruption costs using genetic algorithms. Electric Power Systems Research 80(1): pp. 53-62, 2010.
Correa, G. J. and Yusta, J. M. (2013). Grid vulnerability analysis based on scale-free graphs versus power ow models. Electric Power Systems Research 101: pp. 71-79, 2013.
Ding, L., Wall, P. and Terzija, V. Constrained spectral clustering based controlled islanding. Electrical Power and Energy Systems pp. 687-694, 2014.
Glover, J. D., Sarma, M. S. and Overbye, T. J. Power System - Analysis and Design, 5 ed., Cengage Learning, 2012.
Haron, A. R., Mohamed, A. and Shareef, H. A review on protection schemes and coordination techniques in microgrid system. Journal of Applied Sciences 1(12). pp. 101-112, 2012.
Lasseter, R. H. Smart distribution: Coupled microgrids. Proceedings of the IEEE, Vol. 99, pp. 1074-1082, 2011.
Padamati, R. K., Schulz, N. N. and Srivastava, A. K. Application of genetic algorithm for reconfiguration of shipboard power system. 39th North American Power Symposium, 2007.
Pfitscher, L. L., Bernardon, D. P., Canha, L. N., Montagner, V. F., Garcia, V. J., Abaide, A. R. Intelligent system for automatic reconfiguration of distribution network in real time. Electric Power Systems Research, v. 97, PP. 84–92, 2013.
Shariatzadeh, F., Zamora, R. and Srivastava, A. K. Real time implementation of microgrid reconfiguration. North American Power Symposium, 2011.
Vuppalapati, S. H. K. and Srivastava, A. K. Application of ant colony optimization for reconfiguration of shipboard power system, International Journal of Engineering, Science and Technology 2: pp. 119-131, 2010.
Correa, G. J. and Yusta, J. M. (2013). Grid vulnerability analysis based on scale-free graphs versus power ow models. Electric Power Systems Research 101: pp. 71-79, 2013.
Ding, L., Wall, P. and Terzija, V. Constrained spectral clustering based controlled islanding. Electrical Power and Energy Systems pp. 687-694, 2014.
Glover, J. D., Sarma, M. S. and Overbye, T. J. Power System - Analysis and Design, 5 ed., Cengage Learning, 2012.
Haron, A. R., Mohamed, A. and Shareef, H. A review on protection schemes and coordination techniques in microgrid system. Journal of Applied Sciences 1(12). pp. 101-112, 2012.
Lasseter, R. H. Smart distribution: Coupled microgrids. Proceedings of the IEEE, Vol. 99, pp. 1074-1082, 2011.
Padamati, R. K., Schulz, N. N. and Srivastava, A. K. Application of genetic algorithm for reconfiguration of shipboard power system. 39th North American Power Symposium, 2007.
Pfitscher, L. L., Bernardon, D. P., Canha, L. N., Montagner, V. F., Garcia, V. J., Abaide, A. R. Intelligent system for automatic reconfiguration of distribution network in real time. Electric Power Systems Research, v. 97, PP. 84–92, 2013.
Shariatzadeh, F., Zamora, R. and Srivastava, A. K. Real time implementation of microgrid reconfiguration. North American Power Symposium, 2011.
Vuppalapati, S. H. K. and Srivastava, A. K. Application of ant colony optimization for reconfiguration of shipboard power system, International Journal of Engineering, Science and Technology 2: pp. 119-131, 2010.
Downloads
Publicado
05-02-2021
Como Citar
Bento, F. R. de O., & Celeste, W. C. (2021). A methodology for smart grid reconfiguration. Latin American Journal of Energy Research, 4(1), 1–9. https://doi.org/10.21712/lajer.2017.v4.n1.p1-9
Edição
Seção
Artigos
Licença
Copyright (c) 2017 Latin American Journal of Energy Research
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
O autor, no ato da submissão do artigo, transfere o direito autoral ao periódico.
