دورية أكاديمية

Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current Analysis

التفاصيل البيبلوغرافية
العنوان: Determining Selection of Recloser Clusters to Automate Power Grids via Integer Programming and Statistical Current Analysis
المؤلفون: VIEIRA, F. H. T., VAZ, R. R. C., FRANCO, R. A. P., CARNEIRO, M. L., ARAUJO, S. G.
المصدر: Advances in Electrical and Computer Engineering, Vol 19, Iss 2, Pp 91-96 (2019)
بيانات النشر: Stefan cel Mare University of Suceava, 2019.
سنة النشر: 2019
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
LCC:Computer engineering. Computer hardware
مصطلحات موضوعية: power system planning, power demand, power system analysis computing, load flow, power distribution lines, Electrical engineering. Electronics. Nuclear engineering, TK1-9971, Computer engineering. Computer hardware, TK7885-7895
الوصف: 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.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1582-7445
1844-7600
العلاقة: https://doaj.org/toc/1582-7445Test; https://doaj.org/toc/1844-7600Test
DOI: 10.4316/AECE.2019.02012
الوصول الحر: https://doaj.org/article/1197adc0adfe46a6bc5e6b375b207284Test
رقم الانضمام: edsdoj.1197adc0adfe46a6bc5e6b375b207284
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:15827445
18447600
DOI:10.4316/AECE.2019.02012