TY - GEN A1 - Lorenz-Meyer, Nicolai A1 - Bobtsov, Alexey A1 - Ortega, Romeo A1 - Nikolaev, Nikolay A1 - Schiffer, Johannes T1 - PMU-Based Decentralized Mixed Algebraic and Dynamic State Observation in Multi-Machine Power Systems T2 - IET Generation, Transmission & Distribution N2 - We propose a novel decentralized mixed algebraic and dynamic state observation method for multi-machine power systems with unknown inputs and equipped with Phasor Measurement Units (PMUs). More specifically, we prove that for the third-order flux-decay model of a synchronous generator, the local PMU measurements give enough information to reconstruct algebraically the load angle and the quadrature-axis internal voltage. Due to the algebraic structure a high numerical efficiency is achieved, which makes the method applicable to large scale power systems. Also, we prove that the relative shaft speed can be globally estimated combining a classical Immersion and Invariance (I&I) observer with—the recently introduced—dynamic regressor and mixing (DREM) parameter estimator. This adaptive observer ensures global convergence under weak excitation assumptions that are verified in applications. The proposed method does not require the measurement of exogenous inputs signals such as the field voltage and the mechanical torque nor the knowledge of mechanical subsystem parameters. Y1 - 2020 UR - https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-gtd.2020.1275 U6 - https://doi.org/10.1049/iet-gtd.2020.1275 SN - 1751-8695 SN - 1751-8687 VL - 14 IS - 25 SP - 6267 EP - 6275 ER - TY - GEN A1 - Bobtsov, Alexey A1 - Ortega, Romeo A1 - Nikolaev, Nikolay A1 - Lorenz-Meyer, Nicolai A1 - Schiffer, Johannes T1 - State Observation of Power Systems Equipped with Phasor Measurement Units: The Case of Fourth Order Flux-Decay Model T2 - IEEE Transactions on Automatic Control N2 - The problem of effective use of phasor measurement units (PMUs) to enhance power systems awareness and security is a topic of key interest. The central question to solve is how to use these new measurements to reconstruct the state of the system. In this article, we provide the first solution to the problem of (globally convergent) state estimation of multimachine power systems equipped with PMUs and described by the fourth-order flux-decay model. This article is a significant extension of our previous result, where this problem was solved for the simpler third-order model, for which it is possible to recover algebraically part of the unknown state. Unfortunately, this property is lost in the more accurate fourth-order model, and we are confronted with the problem of estimating the full state vector. The design of the observer relies on two recent developments proposed by the authors, a parameter estimation based approach to the problem of state estimation and the use of the dynamic regressor extension and mixing (DREM) technique to estimate these parameters. The use of DREM allows us to overcome the problem of lack of persistent excitation that stymies the application of standard parameter estimation designs. Simulation results illustrate the latter fact and show the improved performance of the proposed observer with respect to a locally stable gradient-descent-based observer. Y1 - 2022 UR - https://doi.org/10.1109/TAC.2021.3073887 U6 - https://doi.org/10.1109/TAC.2021.3073887 SN - 0018-9286 SN - 1558-2523 VL - 67 IS - 4 SP - 2123 EP - 2130 ER -