A methodology for smart grid reconfiguration

Autores

  • Fábio Ricardo de Oliveira Bento Instituto Federal do Espírito Santo – IFES, campus Guaraparí, ES
  • Wanderley Cardoso Celeste Universidade Federal do Espírito Santo

DOI:

https://doi.org/10.21712/lajer.2017.v4.n1.p1-9

Resumo

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.

Biografia do Autor

Fábio Ricardo de Oliveira Bento, Instituto Federal do Espírito Santo – IFES, campus Guaraparí, ES

Professor efetiivo do Instituto Federal do Espírito Santo – IFES, campus Guaraparí, ES

Wanderley Cardoso Celeste, Universidade Federal do Espírito Santo

Professor do Programa de Pós-Graduação em Energia, Universidade Federal do Espírito Santo – UFES, campus São Mateus, ES

 

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.

Downloads

Publicado

2021-02-05

Edição

Seção

Artigos