Impact of Lossy Compression Techniques on the Impedance Determination

被引:1
|
作者
Plenz, Maik [1 ]
Meyer, Marc Florian [1 ]
Grumm, Florian [1 ]
Becker, Daniel [1 ]
Schulz, Detlef [1 ]
McCulloch, Malcom [2 ]
机构
[1] Helmut Schmidt Univ Hamburg, Dept Elect Power Syst, D-22043 Hamburg, Germany
[2] Univ Oxford, Dept Engn Sci, Oxford OX1 2JD, England
关键词
impedance determination; lossy compression algorithms; singular value decomposition; wavelet transformation;
D O I
10.3390/en13143661
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
One of the essential parameters to measure the stability and power-quality of an energy grid is the network impedance. Including distinct resonances which may also vary over time due to changing load or generation conditions in a network, the frequency characteristic of the impedance is an import part to analyse. The determination and analysis of the impedance go hand in hand with a massive amount of data output. The reduction of this high-resolution voltage and current datasets, while maintaining the fidelity of important information, is the main focus of this paper. The presented approach takes measured impedance datasets and a set of lossy compression procedures, to monitor the performance success with known key metrics. Afterwards, it continually compares the results of various lossy compression techniques. The innovative contribution is the combination of new and existing procedures as well as metrics in one approach, to reduce the size of the impedance datasets for the first time. The approach needs to be efficient, suitable, and exact, otherwise the decompression results are useless.
引用
收藏
页数:12
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