Region-based Stability Analysis of Resilient Distribution Systems with Hybrid Grid-forming and Grid-following Inverters

Lizhi Ding; Yuxi Men; Yuhua Du; Xiaonan Lu; Bo Chen; Jin Tan; Yuzhang Lin

doi:10.1109/ECCE44975.2020.9236196

Region-based Stability Analysis of Resilient Distribution Systems with Hybrid Grid-forming and Grid-following Inverters

Lizhi Ding, Yuxi Men, Yuhua Du, Xiaonan Lu, Bo Chen, Jin Tan, Yuzhang Lin

Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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	English (US)
Title of host publication	ECCE 2020 - IEEE Energy Conversion Congress and Exposition
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	3733-3740
Number of pages	8
ISBN (Electronic)	9781728158266
DOIs	https://doi.org/10.1109/ECCE44975.2020.9236196
State	Published - Oct 11 2020
Event	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020 - Virtual, Detroit, United States Duration: Oct 11 2020 → Oct 15 2020

Publication series

Name	ECCE 2020 - IEEE Energy Conversion Congress and Exposition

Conference

Conference	12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020
Country/Territory	United States
City	Virtual, Detroit
Period	10/11/20 → 10/15/20

Keywords

grid-following
grid-forming
kernel ridge regression
small-signal stability
stability region

ASJC Scopus subject areas

Electrical and Electronic Engineering
Mechanical Engineering
Control and Optimization
Energy Engineering and Power Technology

Access to Document

10.1109/ECCE44975.2020.9236196

Cite this

Ding, L., Men, Y., Du, Y., Lu, X., Chen, B., Tan, J., & Lin, Y. (2020). Region-based Stability Analysis of Resilient Distribution Systems with Hybrid Grid-forming and Grid-following Inverters. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition (pp. 3733-3740). Article 9236196 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ECCE44975.2020.9236196

Region-based Stability Analysis of Resilient Distribution Systems with Hybrid Grid-forming and Grid-following Inverters. / Ding, Lizhi; Men, Yuxi; Du, Yuhua et al.
ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc., 2020. p. 3733-3740 9236196 (ECCE 2020 - IEEE Energy Conversion Congress and Exposition).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Ding, L, Men, Y, Du, Y, Lu, X, Chen, B, Tan, J & Lin, Y 2020, Region-based Stability Analysis of Resilient Distribution Systems with Hybrid Grid-forming and Grid-following Inverters. in ECCE 2020 - IEEE Energy Conversion Congress and Exposition., 9236196, ECCE 2020 - IEEE Energy Conversion Congress and Exposition, Institute of Electrical and Electronics Engineers Inc., pp. 3733-3740, 12th Annual IEEE Energy Conversion Congress and Exposition, ECCE 2020, Virtual, Detroit, United States, 10/11/20. https://doi.org/10.1109/ECCE44975.2020.9236196

Ding L, Men Y, Du Y, Lu X, Chen B, Tan J et al. Region-based Stability Analysis of Resilient Distribution Systems with Hybrid Grid-forming and Grid-following Inverters. In ECCE 2020 - IEEE Energy Conversion Congress and Exposition. Institute of Electrical and Electronics Engineers Inc. 2020. p. 3733-3740. 9236196. (ECCE 2020 - IEEE Energy Conversion Congress and Exposition). doi: 10.1109/ECCE44975.2020.9236196

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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.",

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author = "Lizhi Ding and Yuxi Men and Yuhua Du and Xiaonan Lu and Bo Chen and Jin Tan and Yuzhang Lin",

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AU - Ding, Lizhi

AU - Men, Yuxi

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AU - Chen, Bo

AU - Tan, Jin

AU - Lin, Yuzhang

PY - 2020/10/11

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N2 - 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.

AB - 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.

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Region-based Stability Analysis of Resilient Distribution Systems with Hybrid Grid-forming and Grid-following Inverters

Abstract

Publication series

Conference

Keywords

ASJC Scopus subject areas

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