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Recloser Placement Optimization using the Cross-Entropy Method and Reassessment of Monte Carlo Sampled States

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This paper proposes an approach to optimize the location of reclosers in distribution feeders aiming to improve system reliability, minimize costs and reduce the occurrence of voltage sags. The approach is based on the cross-entropy method and the reassessment of sampled states generated using sequential Monte Carlo simulations. Results indicate the effectiveness of the approach, the importance of integrating reliability and power quality aspects to the analysis, and the computational gains of deploying a reassessment process of Monte Carlo sampled states instead of the conventional Monte Carlo simulation algorithm.

Author(s):

Yago Baracy    
Federal University of Santa Catarina
Brazil

Lucas Venturini    
Federal University of Santa Catarina
Brazil

Nilton Branco    
EdP Brazil
Brazil

Diego Issicaba    
Federal University of Santa Catarina
Brazil

Ahda Grilo    
Federal University of ABC
Brazil

 

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