Dynamic state and parameter estimation in multi-machine power systems - Experimental demonstration using real-world PMU-measurements

Nicolai Lorenz-Meyer; René Suchantke; Johannes Schiffer

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arXiv · 2203.14623

Dynamic state and parameter estimation in multi-machine power systems - Experimental demonstration using real-world PMU-measurements

Nicolai Lorenz-Meyer·René Suchantke·Johannes Schiffer

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Abstract

Dynamic state and parameter estimation (DSE) plays a key role for reliably monitoring and operating future, power-electronics-dominated power systems. While DSE is a very active research field, experimental applications of proposed algorithms to real-world systems remain scarce. This motivates the present paper, in which we demonstrate the effectiveness of a DSE algorithm previously presented by parts of the authors with real-world data collected by a Phasor Measurement Unit (PMU) at a substation close to a power plant within the extra-high voltage grid of Germany. To this end, at first we derive a suitable mapping of the real-world PMU-measurements recorded at a substation close to the power plant to the terminal bus of the power plants' synchronous generator (SG). This mapping considers the high-voltage (HV) transmission line, the tap-changing transformer and the auxiliary system of the power plant. Next, we introduce several practically motivated extensions to the estimation algorithm, which significantly improve its practical performance with real-world measurements. Finally, we successfully validate the algorithm experimentally in an auto- as well as a cross-validation.

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Nicolai Lorenz-Meyer, René Suchantke, Johannes Schiffer. 2022-03-28. Dynamic state and parameter estimation in multi-machine power systems - Experimental demonstration using real-world PMU-measurements. https://arxiv.org/abs/2203.14623

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