Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems
File(s)
Accepted version
Author(s)
Heylen, Evelyn
Teng, Fei
Strbac, Goran
Type
Journal Article
Abstract
Accurate inertia estimates and forecasts are crucial to support the system operation in future low-inertia power systems. A large literature on inertia estimation methods is available. This paper aims to provide an overview and classification of inertia estimation methods. The classification considers the time horizon the methods are applicable to, i.e., offline post mortem, online real time and forecasting methods, and the scope of the inertia estimation, e.g., system-wide, regional, generation, demand, individual resource. The framework presented in this paper facilitates objective comparisons of the performance of newly developed or improved inertia estimation methods with the state-of-the-art methods in their respective time horizon and with their respective scope. Moreover, shortcomings of the existing inertia estimation methods have been identified and suggestions for future work have been made.
Date Issued
2021-09
Date Acceptance
2021-04-27
Citation
Renewable and Sustainable Energy Reviews, 2021, 147, pp.1-12
ISSN
1364-0321
Publisher
Elsevier BV
Start Page
1
End Page
12
Journal / Book Title
Renewable and Sustainable Energy Reviews
Volume
147
Copyright Statement
© 2021 Elsevier Ltd. All rights reserved. This manuscript is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence http://creativecommons.org/licenses/by-nc-nd/4.0/
Sponsor
National Grid Electricity Transmission Plc
Identifier
https://www.sciencedirect.com/science/article/pii/S1364032121004652?via%3Dihub
Grant Number
PO: 3400015516
Subjects
eess.SY
eess.SY
cs.SY
Energy
09 Engineering
Publication Status
Published
Article Number
111176
Date Publish Online
2021-05-25