Abstract
The uncertainty in securely operating the power system has increased with large-scale integration of inverter based resources (IBRs). IBR-driven displacement of conventional sources results in diminishing inherent frequency support capability of such systems as, unlike conventional synchronous generators, IBRs do not inherently support the grid frequency. Therefore, with increasing vulnerability, there is a need for an accurate frequency prediction model that could help a grid operator better plan system resources and securely operate the power system. Against this backdrop, this paper initially provides a critical insight into the frequency response of IBR-dominated systems to highlight the limitation of using a linear prediction model. Following the critical analysis, the paper proposes a data extraction framework and XGBoost algorithm-based regression model to predict RoCoF, frequency nadir, and quassi steady-state frequency of the IBR-dominated power system. The proposed approach has been implemented on a modified IEEE-39 bus system, and its comparative analysis with other state-of-art algorithms supports the superiority of the proposed method.
Original language | English |
---|---|
Title of host publication | Proceedings of the 11th International Conference on Innovative Smart Grid Technologies (Asia) (IEEE ISGT-Asia 2022) |
Editors | Daisuke Mashima |
Place of Publication | Piscataway NJ USA |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 175-179 |
Number of pages | 5 |
ISBN (Electronic) | 9798350399660 |
ISBN (Print) | 9798350399677 |
DOIs | |
Publication status | Published - 2022 |
Event | IEEE Innovative Smart Grid Technologies - Asia 2022 - Singapore, Singapore Duration: 1 Nov 2022 → 5 Nov 2022 Conference number: 11th https://ieeexplore.ieee.org/xpl/conhome/10003265/proceeding (Proceedings) https://ieee-isgt-asia.org/ (Website) |
Publication series
Name | Proceedings of the 11th International Conference on Innovative Smart Grid Technologies - Asia, ISGT-Asia 2022 |
---|---|
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
ISSN (Print) | 2378-8534 |
ISSN (Electronic) | 2378-8542 |
Conference
Conference | IEEE Innovative Smart Grid Technologies - Asia 2022 |
---|---|
Abbreviated title | ISGT-Asia 2022 |
Country/Territory | Singapore |
City | Singapore |
Period | 1/11/22 → 5/11/22 |
Internet address |
|
Keywords
- frequency stability
- inertia
- machine learning
- power system
- prediction
- renewable energy