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

C. Kittl, Dzanan Sarajlic, C. Rehtanz
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引用次数: 8

Abstract

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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-基于均值的低压电网常见供电任务识别
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。
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