A smart grid metrics assessment of distribution automation for reliability improvement

2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS) Pub Date : 2016-10-01 DOI:10.1109/PMAPS.2016.7764055

H. Rui, W. Wellssow

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引用次数: 1

Abstract

Deregulation and the massive growth of Distributed Generation (DG) in distribution networks are forcing the network operators to improve the operational efficiency and power quality at the distribution level. Distribution Automation (DA) enables operators to monitor and control various distribution system components and thus decrease the restoration time after a fault occurs. To implement DA properly, it is necessary to integrate communication and information systems and automation devices. In this paper, DA measures are modeled based on the supply restoration process. Different levels of automation are assessed by the Smart Grid Metrics (SGM) approach with respect to reliability improvement [1]. Several traditional grid concepts are modeled and compared with DA options. An analytical Probabilistic Reliability Calculation (PRC) approach is applied to calculate the reliability indices to quantify the benefits. Finally, a cost/benefit analysis is carried out in order to assess DA from both a technical and an economic point of view.

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基于可靠性改进的智能电网配电自动化度量评估

放松管制和分布式发电在配电网中的大规模增长，迫使电网运营商在配电网层面提高运行效率和电能质量。配电自动化(DA)使操作员能够监视和控制配电系统的各个部件，从而减少故障发生后的恢复时间。要正确地实施数据处理，必须将通信信息系统与自动化设备相结合。本文建立了基于供电恢复过程的数据分析模型。通过智能电网度量(SGM)方法对可靠性改进[1]进行不同程度的自动化评估。对几种传统网格概念进行了建模，并与数据处理选项进行了比较。采用分析概率可靠性计算方法计算可靠性指标，量化效益。最后，进行成本/效益分析，以便从技术和经济角度评估数据发展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2016 International Conference on Probabilistic Methods Applied to Power Systems (PMAPS)

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