Recloser placement optimization using the cross-entropy method and reassessment of Monte Carlo sampled states

•Recloser allocation considering reliability and power quality aspects.•Optimization process using cross entropy and sequential Monte Carlo simulation.•Reassessment of Monte Carlo simulation states to speed up optimization. This paper proposes an approach to optimize the location of reclosers in dis...

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Bibliographic Details
Published in:Electric power systems research 2020-12, Vol.189, p.106653, Article 106653
Main Authors: Baracy, Yago L., Venturini, Lucas F., Branco, Nilton O., Issicaba, Diego, Grilo, Ahda P.
Format: Article
Language:English
Subjects:
Algorithms
Computer simulation
Cross-entropy method
Electricity distribution
Entropy
Entropy (Information theory)
Feeders
Monte Carlo method
Monte Carlo simulation
Optimization
Power distribution system
Protective systems
Reliability
Reliability analysis
Reliability aspects
System reliability
Voltage sags
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Summary:•Recloser allocation considering reliability and power quality aspects.•Optimization process using cross entropy and sequential Monte Carlo simulation.•Reassessment of Monte Carlo simulation states to speed up optimization. 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.
ISSN:0378-7796
1873-2046
DOI:10.1016/j.epsr.2020.106653