Interaction Modeling and Stability Analysis of Grid-Forming Energy Storage System Based on SISO Transfer Functions

With the rapid expansion of photovoltaic (PV), grid-forming energy storage systems (GFM-ESS) have been widely employed for inertia response and voltage support to enhance the dynamic characteristics. Converters with different synchronization methods represent significant differences in dynamic behavior. The interactions between grid-forming (GFM) and grid-following (GFL) devices with multi-time scale control may lead to small-signal instability in hybrid systems. This paper investigates a grid-connected system comprising a grid-forming energy storage system and a grid-following PV system (GFL-PV). Based on single-input-single-output (SISO) transfer functions, a dynamic interaction model for the PV-ESS system is established. Combining the open-loop transfer functions of full-loop and sub-loop, the proposed model reveals how GFM-ESS modifies the dynamic characteristics of GFL-PV under weak grid conditions. Subsequently, the impact of different control loops and parameters on the small-signal stability of the system is analyzed. The stability margins of both devices are also compared through the SISO model. Electromagnetic transient simulation results in MATLAB/Simulink and experiments validate the effectiveness of the proposed models and analyses.

Authors

Institutions

Publication Details

Journal
IEEE Transactions on Sustainable Energy
Published
2024-09-30
DOI
https://doi.org/10.1109/tste.2024.3471801
Citations
28
Primary Topic
Power Systems and Renewable Energy
Type
article
Field-Weighted Citation Impact
4.75
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Interaction Modeling and Stability Analysis of Grid-Forming Energy Storage System Based on SISO Transfer Functions

Dejun Shao, Xia Chen, Yin Chen, Mengxuan Shi et al.
28 citations
IEEE Transactions on Sustainable Energy
Power Systems and Renewable Energy
4.75
article

Interaction Modeling and Stability Analysis of Grid-Forming Energy Storage System Based on SISO Transfer Functions

Dejun Shao, Xia Chen, Yin Chen, Mengxuan Shi, Youping Xu, Kezan Zhang
article en
28 citations

Abstract

With the rapid expansion of photovoltaic (PV), grid-forming energy storage systems (GFM-ESS) have been widely employed for inertia response and voltage support to enhance the dynamic characteristics. Converters with different synchronization methods represent significant differences in dynamic behavior. The interactions between grid-forming (GFM) and grid-following (GFL) devices with multi-time scale control may lead to small-signal instability in hybrid systems. This paper investigates a grid-connected system comprising a grid-forming energy storage system and a grid-following PV system (GFL-PV). Based on single-input-single-output (SISO) transfer functions, a dynamic interaction model for the PV-ESS system is established. Combining the open-loop transfer functions of full-loop and sub-loop, the proposed model reveals how GFM-ESS modifies the dynamic characteristics of GFL-PV under weak grid conditions. Subsequently, the impact of different control loops and parameters on the small-signal stability of the system is analyzed. The stability margins of both devices are also compared through the SISO model. Electromagnetic transient simulation results in MATLAB/Simulink and experiments validate the effectiveness of the proposed models and analyses.

IEEE Transactions on Sustainable EnergyVol. 16(1)
State Grid Corporation of China (China) (CN), University of Strathclyde (GB), Huazhong University of Science and Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 5%
Power Systems and Renewable Energy
4.75
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.