4.7 Article

Estimation of Non-Synchronous Inertia in AC Microgrids

Journal

IEEE TRANSACTIONS ON SUSTAINABLE ENERGY
Volume 12, Issue 4, Pages 1903-1914

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TSTE.2021.3070678

Keywords

Microgrids; Frequency estimation; Topology; Power system stability; Renewable energy sources; System identification; Frequency stability; inertia classification; microgrid; non-synchronous inertia estimation; renewable energy sources; swing equation; system-identification; virtual inertia

Funding

  1. Smart tools for intelligent operation of Renewable energy integrated power system (STORES) under IMPRINT-2A [IMP/2018/002009]

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This paper proposes a comprehensive method to estimate non-synchronous inertia in an AC microgrid system by analyzing frequency transients, using a multi-step approach and system identification studies to improve the accuracy of the estimate.
This paper proposes a comprehensive method to estimate non-synchronous inertia in an AC microgrid system by analyzing measured frequency transients. Non-synchronous inertia includes inertial support from various inverter-interfaced renewable energy sources and energy storage devices in the form of virtual or emulated inertia. In the proposed method, a multi-step approach is used to identify a matrix of parameters that estimates the overall non-synchronous inertial response. Firstly, motivations are drawn from the fundamental system requirements of adequacy in RoCoF and maximum deviation in frequency, for any credible contingency. A systematic classification of various contributors to the non-synchronous inertial response is also carried out. System-identification studies are then performed to identify various component-models that contribute to the non-synchronous inertia. The component models include a faster RoCoF-based response model, a relatively slower frequency deviation based model, and in some cases, a slow, integral-of-frequency based model. Lastly, the concept of releasable kinetic energy and non-linear estimation is used to identify the capability of the virtual inertia sources and improve the accuracy of the overall estimate. The developed methodology is tested in a microgrid network hosting a mix of renewable energy generations and battery energy storage systems. The estimate of non-synchronous inertia will help system operators to accurately estimate the maximum frequency deviation and the time to reach the maximum deviation for any credible contingency. The estimate can also help in deciding the type of virtual inertia that will best maintain frequency stability in the microgrid system.

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