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Abstract

The article is devoted to the development of an adaptive algorithm for the synthesis of the emergency control law in order to ensure dynamic stability and its testing on a multi-machine model of the IEEE39 test power system. The developed algorithm is aimed at ensuring the dynamic stability of a particular power plant. In the presented study, the emergency control law synthesis is understood as the choice of the minimum position of the steam turbine shut-off valve based on the area rule in "Synchronous generator moment – load angle" space and synchronized vector measurements. The adaptability of the algorithm is ensured by using a minimum number of a priori power system elements specified parameters and the emergency control law synthesis alongside the initial phase of the post-emergency transient process. In case of dynamic stability ensuring impossibility, the synchronous generator is disconnected from the electrical network. To apply the proposed algorithm in a multi-machine power system, a polynomial approximating the angular characteristic of a synchronous generator of a post-emergency mode was modified by adding a sinusoidal term of the load double angle. The IEEE39 test model used in this study contained 39 nodes, 10 synchronous generators with automatic strong-acting excitation regulators, system stabilizers, single-shaft steam turbines as primary drives and fast turbine valving control models. The proposed method has been tested and evaluated for 20 different emergency processes including self-clearing short circuits in test model various nodes. Simulation was carried out using Matlab/Simulink environment with a constant numerical differentiation step magnitude that was equal to the initial data sampling frequency of 30 kHz.

Keywords

Dynamic stability, emergency control, fast turbine valving control, synchronous generator, phasor measurement unit.

Mikhail D. Senyuk

Postgraduate Student, Department of Automated Electrical Systems, Ural Federal University, Ural Power Engineering Institute, Yekaterinburg, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it., https://orcid.org/0000-0002-5589-7922

Anna A. Dmitrieva

Postgraduate Student, Department of Automated Electrical Systems, Ural Federal University, Ural Power Engineering Institute, Yekaterinburg, Russia, This email address is being protected from spambots. You need JavaScript enabled to view it.

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