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The DOI matches its Crossref record; 77 of the 77 references it cites were found in a registry or an index.

Future low-inertia power systems: Requirements, issues, and solutions - A review

Ratnam, Kamala Sarojini, Palanisamy, K., Yang, Guangya·2020·Renewable and Sustainable Energy Reviews

Abstract

The utilization of power electronic inverters in power grids has increased tremendously, along with advancements in renewable energy sources. The usage of power electronic inverters results in the decoupling of sources from loads, leading to a decrease in the inertia of power systems. This decrease results in a high rate of change of frequency and frequency deviations under power imbalance that substantially affect the frequency stability of the system. This study focuses on the requirements of inertia and the corresponding issues that challenge the various country grid operators during the large-scale integration of renewable energy sources. This study reviews the various control techniques and technologies that offset a decrease in inertia and discusses the inertia emulation control techniques available for inverters, wind turbines, photovoltaic systems, and microgrid. This study attempts to explore future research directions and may assist researchers in choosing an appropriate topology, depending on requirements.

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Metadata

Authors
Ratnam, K. S., Palanisamy, K., & Yang, G.
Venue
Renewable and Sustainable Energy Reviews
Publisher
Elsevier BV
Published
2020-05
Volume
124
Pages
109773
ISSN
1364-0321 (ISSN-L)
OpenAlex
W3007533444
Cited by
474
References
77
FWCI
29.30
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Future low-inertia power systems: Requirements, issues, and solutions - A review. https://app.cochat.ai/papers/10.1016/j.rser.2020.109773
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Ratnam, K. S., Palanisamy, K., & Yang, G. (2020). Future low-inertia power systems: Requirements, issues, and solutions - A review. Renewable and Sustainable Energy Reviews. https://doi.org/10.1016/j.rser.2020.109773

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

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