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

Author:

Lorenz-Meyer NicolaiORCID,Suchantke RenéORCID,Schiffer JohannesORCID

Publisher

Elsevier BV

Subject

Applied Mathematics,Electrical and Electronic Engineering,Computer Science Applications,Control and Systems Engineering

Reference32 articles.

1. Performance enhancement of parameter estimators via dynamic regressor extension and mixing;Aranovskiy;IEEE Transactions on Automatic Control,2017

2. Long-range forecasting: from crystal ball to computer;Armstrong,1985

3. State observation of power systems equipped with phasor measurement units: The case of fourth order flux-decay model;Bobtsov;IEEE Transactions on Automatic Control,2021

4. A particle filter for dynamic state estimation in multi-machine systems with detailed models;Cui;IEEE Transactions on Power Systems,2015

5. Particle filter approach to dynamic state estimation of generators in power systems;Emami;IEEE Transactions on Power Systems,2015

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1. Simultaneous Input, Parameter, and State Estimation for Multi-Machine Power Systems with Detailed Generator Model;2024 International Seminar on Intelligent Technology and Its Applications (ISITIA);2024-07-10

2. Synthesized method for estimating a power system regime parameters state for real time hardware and software packages;Bulletin of the Tomsk Polytechnic University Geo Assets Engineering;2024-05-29

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