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

被引：13

作者：

Baracy, Yago L. ^{[1
,4
]}

Venturini, Lucas F. ^{[1
,4
]}

Branco, Nilton O. ^{[2
]}

Issicaba, Diego ^{[1
,4
]}

Grilo, Ahda P. ^{[3
,4
]}

机构：

[1] Univ Fed Santa Catarina, Dept Elect & Elect Engn, Rua Delfino Conti S-N, BR-88040370 Florianopolis, SC, Brazil

[2] EDP Brasil, Sao Paulo, Brazil

[3] Fed Univ ABC, Engn Modeling & Appl Social Sci Ctr, Santo Andre, SP, Brazil

[4] INESC P&D Brasil, Sao Paulo, Brazil

来源：

ELECTRIC POWER SYSTEMS RESEARCH | 2020年 / 189卷

关键词：

Cross-entropy method; Monte Carlo method; Power distribution system; Protective systems; Reliability; ALLOCATION;

D O I：

10.1016/j.epsr.2020.106653

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

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.

引用

页数：7

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