Identification of Key Control Parameters in Interconnected Multi-Grid-Forming Converter System Based on Universal Grid-Forming Control Strategy

This paper presents a novel parameter identification method to address the modeling and analysis challenges in interconnected multi-grid-forming converters (GFMCs) system where converter parameters are unavailable due to technical confidentiality. The proposed approach employs a two-stage identification process: initially identifying all control parameters excluding the proportional integral (PI) coefficients of the active/reactive power outer loops and voltage control loop from GFMC steady-state values, followed by application of a time-domain reconstruction algorithm to accurately identify the remaining PI parameters. Simulation and verification studies conducted on a six-GFMCs interconnected system using PSCAD/EMTDC demonstrate the effectiveness and precision of parameter identification.

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Publication Details

Published
2025-07-04
DOI
https://doi.org/10.1109/icpet66029.2025.11160495
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Identification of Key Control Parameters in Interconnected Multi-Grid-Forming Converter System Based on Universal Grid-Forming Control Strategy

Jian Zheng, Xialin Li, Ziqian Yang, Wangqianyun Tang et al.
Power Systems and Renewable Energy
article

Identification of Key Control Parameters in Interconnected Multi-Grid-Forming Converter System Based on Universal Grid-Forming Control Strategy

Jian Zheng, Xialin Li, Ziqian Yang, Wangqianyun Tang, Ye Zhang
article en

Abstract

This paper presents a novel parameter identification method to address the modeling and analysis challenges in interconnected multi-grid-forming converters (GFMCs) system where converter parameters are unavailable due to technical confidentiality. The proposed approach employs a two-stage identification process: initially identifying all control parameters excluding the proportional integral (PI) coefficients of the active/reactive power outer loops and voltage control loop from GFMC steady-state values, followed by application of a time-domain reconstruction algorithm to accurately identify the remaining PI parameters. Simulation and verification studies conducted on a six-GFMCs interconnected system using PSCAD/EMTDC demonstrate the effectiveness and precision of parameter identification.

Ministry of Education (PT), China Southern Power Grid (China) (CN)
Openalex Percentile: Top 73%
Power Systems and Renewable Energy
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