کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
703777 1460908 2013 8 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
A methodology for real time analysis of parallelism of distribution networks
موضوعات مرتبط
مهندسی و علوم پایه مهندسی انرژی مهندسی انرژی و فناوری های برق
پیش نمایش صفحه اول مقاله
A methodology for real time analysis of parallelism of distribution networks
چکیده انگلیسی


• Methodology for real time analysis of parallelism of distribution networks.
• Transient analysis based on a simple and efficient discretization method.
• Application in automatic reconfiguration of distribution networks.
• Case studies considering real data of power utilities.
• Integration of the developed tool with SCADA system.

The parallelism of distribution networks can be used to transfer loads between feeders without the need of disconnection of consumers during the switching. In the context of the Smart Grid, the parallelism of feeders can be used in automatic reconfiguration of networks for the improvement of power quality and voltage levels, and reduction of energy losses. However, the switching for parallelism must be preceded by studies to verify its technical and operational feasibility. This paper presents a methodology to analyze aspects of loading, protection, and voltage levels related to parallelism of distribution networks, in transient and steady-state operation. The validation of the developed methodology was carried out by comparison with simulation results from the ATP program. The study aims to be suitable for real time application in reconfiguration of distribution networks, allowing, for instance, the integration with remote controlled switches, so that the network reconfiguration can be done automatically. The results here presented are based on a real model of a distribution network of a power utility. The developed methodology has as main result a reliable indication of the technical feasibility of connecting feeders in parallel.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Electric Power Systems Research - Volume 105, December 2013, Pages 1–8
نویسندگان
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