Abstract
In this paper, distribution system stability considering mixed grid-forming (GFM) and grid-following (GFL) inverters is discussed. A holistic small-signal model of the distribution feeder accommodating both GFM and GFL inverters is derived. In contrast to conventional point-by-point stability analysis, a region-based stability assessment approach is proposed and implemented to evaluate small-signal system stability with both GFM and GFL controls. Furthermore, to enhance the computational efficiency, an Artificial Intelligence (AI) assisted Kernel Ridge Regression (KRR) approach is developed to obtain the stability region boundary. Therefore, with the derived stability region, the impact of critical parameters on system stability is intuitively shown, and more importantly, the relationship between the maximum penetration level and the corresponding feasible range of the selected control parameters can be quantified. The proposed approach has been validated using MATLAB/Simulink.
Original language | American English |
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Pages | 3733-3740 |
Number of pages | 8 |
DOIs | |
State | Published - 11 Oct 2020 |
Event | 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States Duration: 11 Oct 2020 → 15 Oct 2020 |
Conference
Conference | 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 |
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Country/Territory | United States |
City | Virtual, Detroit |
Period | 11/10/20 → 15/10/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.
NREL Publication Number
- NREL/CP-5D00-78688
Keywords
- grid-following
- grid-forming
- kernel ridge regression
- small-signal stability
- stability region