Version 1
: Received: 26 January 2022 / Approved: 27 January 2022 / Online: 27 January 2022 (12:28:48 CET)
How to cite:
Thiesen, H. Open Inertia Modelling (OpInMod) - An Open Source Approach to Model Economic Inertia Dispatch in Power Systems. Preprints2022, 2022010419. https://doi.org/10.20944/preprints202201.0419.v1
Thiesen, H. Open Inertia Modelling (OpInMod) - An Open Source Approach to Model Economic Inertia Dispatch in Power Systems. Preprints 2022, 2022010419. https://doi.org/10.20944/preprints202201.0419.v1
Thiesen, H. Open Inertia Modelling (OpInMod) - An Open Source Approach to Model Economic Inertia Dispatch in Power Systems. Preprints2022, 2022010419. https://doi.org/10.20944/preprints202201.0419.v1
APA Style
Thiesen, H. (2022). Open Inertia Modelling (OpInMod) - An Open Source Approach to Model Economic Inertia Dispatch in Power Systems. Preprints. https://doi.org/10.20944/preprints202201.0419.v1
Chicago/Turabian Style
Thiesen, H. 2022 "Open Inertia Modelling (OpInMod) - An Open Source Approach to Model Economic Inertia Dispatch in Power Systems" Preprints. https://doi.org/10.20944/preprints202201.0419.v1
Abstract
Open Inertia Modelling (OpInMod) is a modelling framework designed to create unit commitment and economic inertia dispatch optimisation problems. Present energy system modelling generators do not consider power system inertia in unit commitment and economic dispatch modelling to assess future energy system pathways. However, maintaining sufficient power system inertia in power systems is the foundation for power frequency controllability. The work at hand describes the functionality and approaches of open source tool OpInMod. The softwares universal design approach increases reuse potential. OpInMod is distributed with a set of examples to test and understand OpInMod
Keywords
Economic Inertia Dispatch Modelling; Energy System Modelling; Power System Inertia; Renewable Energy; Synthetic Inertia
Subject
Engineering, Control and Systems Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.