-基于均值的低压电网常见供电任务识别

2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) Pub Date : 2018-10-01 DOI:10.1109/ISGTEurope.2018.8571658

C. Kittl, Dzanan Sarajlic, C. Rehtanz

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引用次数: 8

摘要

研究往往需要具有代表性和复杂的网络模型。真实网格的模型是具体和保密的，人工模型缺乏逼真性。本文介绍了有助于增强人工网格模型的研究。由于无法对德国低压电网模型进行整体分析，本文提出了一种替代方法，对低压电网完成的类似供电任务进行分组。

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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$k$-means based identification of common supply tasks for low voltage grids

Representative and sophisticated network models are often needed for research. Models of real grids are specific and confidential, artificial ones deficient in lifelikeness. This paper presents research contributing to enhanced artificial grid models. As German low voltage grid models cannot be analysed in total, this paper proposes a substitute methodology to group similar supply tasks to be fulfilled by low voltage grids.

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2018 IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe)

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