文章基本信息

标题：Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current Analysis
本地全文：下载
作者：F. H. T. VIEIRA ; R. R. C. VAZ ; R. A. P. FRANCO 等
期刊名称：Advances in Electrical and Computer Engineering
印刷版ISSN：1582-7445
电子版ISSN：1844-7600
出版年度：2019
卷号：19
期号：2
页码：91-96
DOI：10.4316/AECE.2019.02012
出版社：Universitatea "Stefan cel Mare" Suceava
摘要：This work presents a methodology for the deployment of Self-Healing systems in distribution grids in order to decrease continuity indexes such as the Equivalent Duration of Interruption per Consumer Unit. The proposed methodology consists in choosing feeders to receive Self-Healing system based on their performances in relation to the Equivalent Duration of Interruption per Consumer Unit. To this end, this methodology addresses current in the conductors and the number of consumers. In order to determine recloser cluster priorities, it is proposed to consider statistical analysis of current values by Decision theory and Binary Linear Programming. The results show that the application of the proposed methodology for determining recloser cluster priorities and cluster selection has great impact on the system operation since it is related to the number of served consumers, failure rates and compensation for the system.