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Challenges and opportunities of inertia estimation and forecasting in low-inertia power systems
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2008.12692v1.pdf | Accepted version | 335.05 kB | Adobe PDF | View/Open |
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