دورية أكاديمية

Breaker state identification for distribution network based on section breaker graph

التفاصيل البيبلوغرافية
العنوان: Breaker state identification for distribution network based on section breaker graph
المؤلفون: CHEN Feng, FANG Jianliang, LU Haiqing, WU Jun, LU Chengyu, XIA Ligang, GUO Ruipeng
المصدر: Zhejiang dianli, Vol 42, Iss 8, Pp 100-106 (2023)
بيانات النشر: zhejiang electric power, 2023.
سنة النشر: 2023
المجموعة: LCC:Electrical engineering. Electronics. Nuclear engineering
مصطلحات موضوعية: distribution network, breaker state identification, section breaker graph, tree, virtual flow, Electrical engineering. Electronics. Nuclear engineering, TK1-9971
الوصف: Correct network topology is the basis of power grid analysis and control. Because of the lack of measurement on breakers, the identification of breaker states is particularly important in the distribution network. According to the characteristics of closed-loop construction and open-loop operation of the distribution network, section breaker graph is developed to describe the connectivity of the distribution network. The property of tree is used to describe the radial structure constraints of the operation of the distribution network. Based on the principle of weighted minimum absolute value, a identification model is developed, which aims to minimize the adjustments of breaker states and the sum of weighted absolute value of measurement errors. The proposed identification model is a mixed integer linear programming (MILP) problem in mathematic, which can be solved by the simplex method combined with the branch and cut frame. The correctness of proposed model and effectiveness of the proposed method are verified by simulation case.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: Chinese
تدمد: 1007-1881
Relation: https://zjdl.cbpt.cnki.net/WKE3/WebPublication/paperDigest.aspx?paperID=81c51a97-c7c1-4766-b09d-032fea15eeaf; https://doaj.org/toc/1007-1881
DOI: 10.19585/j.zjdl.202308013
URL الوصول: https://doaj.org/article/a5dc6ae7af30474d90e5b72ed4dabac8
رقم الأكسشن: edsdoj.5dc6ae7af30474d90e5b72ed4dabac8
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:10071881
DOI:10.19585/j.zjdl.202308013