Journal
IEEE JOURNAL OF EMERGING AND SELECTED TOPICS IN POWER ELECTRONICS
Volume 9, Issue 3, Pages 3150-3165Publisher
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/JESTPE.2020.3015293
Keywords
Power system stability; Stability analysis; Synchronization; Transient analysis; Computational modeling; Numerical stability; Analytical models; Aggregated modeling; grid faults; grid-connected converters; reduced-order modeling; synchronization stability; transient stability analysis
Categories
Funding
- Reliable Power Electronics-Based Power System Project at the Department of Energy Technology, Aalborg University, as a part of the Villum Investigator Program, Villum Foundation
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This study introduces stability conditions and reduced-order models for multi-converter configurations to evaluate transient synchronization stability of grid-following converters during grid faults. Through simulation studies, the accuracy of the models is verified, and a case study demonstrates high model accuracy and reduced computational burden compared to full-order representation. The analysis and proposed modeling offer an attractive screening tool and convenient approach for early-stage fault analysis in system design.
During severe grid faults, grid-following converters may become unstable and experience loss of synchronization when complying with requirements for low-voltage ride-through capability. This phenomenon is well described, understood, and modeled for single-converter systems but lacks a modeling framework when extended to multiconverter systems. To fill this gap, this work presents the necessary stability conditions and aggregated reduced-order models for different multiconverter configurations, which can be used to assess the transient synchronization stability of grid-following converters under symmetrical grid faults. The necessary conditions for transient stability and the aggregated models are verified through numerous simulation studies, which verify their high accuracy for large-signal synchronization stability assessment. To that end, the Anholt wind power plant is considered as a case study where the aggregated model is compared to the full operation of a wind farm string containing nine full-order grid-following converter models. High model accuracy is obtained, and the computational burden associated with the proposed model is reduced with a factor of 100 compared with a full-order representation on the tested system. Accordingly, the presented analysis and proposed modeling are attractive as a screening tool and a convenient approach for early-stage fault analysis of system design.
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