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Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems

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Title: Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems
Authors: Heylen, E
Teng, F
Strbac, G
Item 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.
Issue Date: Sep-2021
Date of Acceptance: 27-Apr-2021
URI: http://hdl.handle.net/10044/1/90897
DOI: 10.1016/j.rser.2021.111176
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/Funder: National Grid Electricity Transmission Plc
Funder's Grant Number: PO: 3400015516
Keywords: eess.SY
eess.SY
cs.SY
Energy
09 Engineering
Publication Status: Published
Article Number: 111176
Online Publication Date: 2021-05-25
Appears in Collections:Electrical and Electronic Engineering
Grantham Institute for Climate Change
Faculty of Natural Sciences



This item is licensed under a Creative Commons License Creative Commons