An Observer-Based Composite Identifier for Online Estimation of the\n Thevenin Equivalent Parameters of a Power System

2022/03/14 by Daniele Zonetti, Roméo Ortega, Zonetti, Daniele +9
Engineering · Physics and Astronomy · #Control Systems and Identification #Power System Optimization and Stability #Model Reduction and Neural Networks

paper · pdf · doi:10.48550/arxiv.2203.07273

Abstract

We consider a Th 'evenin equivalent circuit capturing the dynamics of a power\ngrid as seen from the point of common coupling with a power electronic\nconverter, and provide a solution to the problem of online identification of\nthe corresponding circuit parameters. For this purpose, we first derive a\nlinear regression model in the conventional abc coordinates and next design a\nbounded observer-based composite identifier that requires local measurements\nand knowledge of the grid frequency only. An extension that guarantees\nexponential convergence of the estimates, under the additional assumption of\nknowledge of the grid X/R ratio, is further provided. The performance of the\nproposed identifier, which subsumes a conventional gradient descent algorithm,\nis illustrated via detailed computer simulations.\n

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