Matthias Lechtenberg

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When doing parameter estimation, ESPRIT is an often used algorithm. As input, ESPRIT needs the eigenvectors of the signal subspace. These can be generated by an eigenvalue decomposition or by subspace tracking algorithms. In this paper, we demonstrate, that subspace tracking is superior not only regarding computational complexity but also regarding(More)
In modern power transmission systems, monitoring of transient processes becomes more important. Analyzing a transient process is hard since the process is not only transforming from one steady state into another, but it also includes event-driven oscillations from LC-circuits within the net. The number of such oscillations is unknown and not constant.(More)
Common phasor measurement units (PMUs) comply with IEEE Standard C37.118 and are capable of managing the test cases formulated inside. These mainly describe electro-mechanic processes (besides step tests). However, electromagnetic processes are not considered, but filtered out. Using subspace-based estimation algorithms provides knowledge of(More)
In the context of transient processes in power system measurements, a sampled signal is analyzed with respect to electromagnetic influences. These are most likely super-posed sinusoids that can be found next to the fundamental system sinusoid. However, such signal is not stationary, i.e. has a varying model order which means that temporary and exponentially(More)
A power system grid can be modeled as a circuit of various RLC-meshes. In case of a switching event, some of those RLC-meshes are excited. These will produce additional frequency components within the power signal. In this paper, a concept which uses a priori information of these meshes for event-characterization is presented. Frequency estimations done(More)
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