4.6 Article Proceedings Paper

Frequency response modeling and equivalent inertial estimation of induction machine

Journal

ENERGY REPORTS
Volume 8, Issue -, Pages 554-564

Publisher

ELSEVIER
DOI: 10.1016/j.egyr.2022.02.216

Keywords

Induction machine; Inertial response; Frequency stability; Equivalent inertia; Inertia estimation

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This paper investigates the frequency support ability of induction machines in the low-inertia power system, which is a result of the rapid development of renewable energy and High Voltage Direct Current (HVDC). The time-varying characteristics of the effective inertia of induction machines are analyzed, and an evaluation model is proposed to quantify the inertial support ability of dynamic loads. Simulation results on MATLAB/Simulink platform validate the proposed model's correctness and effectiveness.
With the rapid development of renewable energy and High Voltage Direct Current (HVDC), the power system is turning to be a low-inertia system. Due to insufficient inertia on the power side, the proportion of inertia on the load side increases. The frequency support ability of the induction machine in the inertial time scale needs to be investigated. The purpose of this paper is to analyze the time-varying characteristics of the effective inertia of induction machine and to estimate the frequency support ability of induction machine. In this paper, the induction machine model in electromechanical transient process is established, and its transfer function is deduced by using small-signal model, and the time-varying characteristics and affecting factors of the induction machine's inertia on the grid are analyzed. Besides, an evaluation model of the equivalent inertia of induction machine is proposed to quantify the inertial support ability of dynamic loads, and the frequency support ability of the model and the dynamic characteristics of induction machine are analyzed. Finally, the simulation model is conducted on MATLAB/Simulink platform to verify the correctness and effectiveness of the model proposed in this paper. (c) 2022 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). Peer-review under responsibility of the scientific committee of the 2021 The 2nd International Conference on Power Engineering, ICPE, 2021.

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