An Adaptive Inertia and Damping Control Strategy Based on Enhanced Virtual Synchronous Generator Model

Aleksey Suvorov (), Alisher Askarov, Nikolay Ruban, Vladimir Rudnik, Pavel Radko, Andrey Achitaev and Konstantin Suslov
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Aleksey Suvorov: School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia
Alisher Askarov: School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia
Nikolay Ruban: School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia
Vladimir Rudnik: School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia
Pavel Radko: School of Energy & Power Engineering, National Research Tomsk Polytechnic University, Tomsk 634050, Russia
Andrey Achitaev: Department of Hydropower, Hydroelectric Power Plants, Electricity Systems and Electricity Networks, Siberian Federal University, Krasnoyarsk 660041, Russia
Konstantin Suslov: Department of Power Supply and Electrical Engineering, Irkutsk National Research Technical University, Irkutsk 664074, Russia

Mathematics, 2023, vol. 11, issue 18, 1-29

Abstract: In modern converter-dominated power systems, total inertia is very variable and depends on the share of power generated by renewable-based converter-interfaced generation (CIG) at each specific moment. As a result, the limits required by the grid codes on the rate of change of frequency and its nadir or zenith during disturbances become challenging to achieve with conventional control approaches. Therefore, the transition to a novel control strategy of CIG with a grid-forming power converter is relevant. For this purpose, a control algorithm based on a virtual synchronous generator (VSG) is used, which simulates the properties and capabilities of a conventional synchronous generation. However, due to continuously changing operating conditions in converter-dominated power systems, the virtual inertia formed by VSG must be adaptive. At the same time, the efficiency of adaptive algorithms strongly depends on the used VSG structure. In this connection, this paper proposes an enhanced VSG structure for which the transfer function of the active power control loop was formed. With the help of it, the advantages over the conventional VSG structure were proven, which are necessary for the effective adaptive control of the VSG parameters. Then, the analysis of the impact of the VSG parameters on the dynamic response using the transient characteristics in the time domain was performed. Based on the results obtained, adaptive algorithms for independent control of the virtual inertia and the parameters of the VSG damper winding were developed. The performed mathematical modeling confirmed the reliable and effective operation of the developed adaptive control algorithms and the enhanced VSG structure. The theoretical and experimental results obtained in this paper indicate the need for simultaneous development and improvement of both adaptive control algorithms and VSG structures used for this purpose.

Keywords: virtual synchronous generator; power converter; adaptive control; grid-forming; virtual inertia; frequency response (search for similar items in EconPapers)
JEL-codes: C (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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