A simplified complex torque coefficient method for analyzing and estimating the risk of multi-generator system subsynchronous resonance

• A simplified complex torque coefficient method is proposed for the analysis and estimation SSR risk in multi-generator systems. • A formula that explicitly establishes the relationship between the interactions of multiple generators and system parameters is derived. • A procedure is presented to evaluate SSR risk under various system operation conditions. The phenomenon of subsynchronous resonance (SSR) in multi-generator system is inherently complex and poses significant analytical challenges. This complexity arises primarily from the interactions among generators, particularly those sharing close torsional frequencies, which have not been sufficiently addressed. Moreover, the impact of these interactions on SSR remains inadequately explained. As a result, current SSR risk assessment methods often struggle to balance computational efficiency with modelling accuracy. In this paper, a simplified complex torque coefficient method is proposed, and an analytic formula for the generator’s electrical damping is derived for multi-generator system. This formula, which incorporates terms related to shaft dynamics, elucidates how rotor angle interactions affect damping characteristics and contribute to SSR. Based on these interactions and their dominant influencing factors, a systematic procedure is developed to assess SSR risk in multi-generator systems. The effectiveness of this evaluation procedure is validated through eigenvalue analysis and time-domain simulations. Compared to existing methods, the proposed approach offers improved suitability for practical power system applications.

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Publication Details

Journal
International Journal of Electrical Power & Energy Systems
Published
2025-07-16
DOI
https://doi.org/10.1016/j.ijepes.2025.110914
Primary Topic
Power System Optimization and Stability
Type
article
Field-Weighted Citation Impact
0.00

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article

A simplified complex torque coefficient method for analyzing and estimating the risk of multi-generator system subsynchronous resonance

Xin Zhao, Shan Gao, Haixiang Xie, Xi Wu et al.
International Journal of Electrical Power & Energy Systems
Power System Optimization and Stability
article

A simplified complex torque coefficient method for analyzing and estimating the risk of multi-generator system subsynchronous resonance

Xin Zhao, Shan Gao, Haixiang Xie, Xi Wu, Ruoying Yu
article en

Abstract

• A simplified complex torque coefficient method is proposed for the analysis and estimation SSR risk in multi-generator systems. • A formula that explicitly establishes the relationship between the interactions of multiple generators and system parameters is derived. • A procedure is presented to evaluate SSR risk under various system operation conditions. The phenomenon of subsynchronous resonance (SSR) in multi-generator system is inherently complex and poses significant analytical challenges. This complexity arises primarily from the interactions among generators, particularly those sharing close torsional frequencies, which have not been sufficiently addressed. Moreover, the impact of these interactions on SSR remains inadequately explained. As a result, current SSR risk assessment methods often struggle to balance computational efficiency with modelling accuracy. In this paper, a simplified complex torque coefficient method is proposed, and an analytic formula for the generator’s electrical damping is derived for multi-generator system. This formula, which incorporates terms related to shaft dynamics, elucidates how rotor angle interactions affect damping characteristics and contribute to SSR. Based on these interactions and their dominant influencing factors, a systematic procedure is developed to assess SSR risk in multi-generator systems. The effectiveness of this evaluation procedure is validated through eigenvalue analysis and time-domain simulations. Compared to existing methods, the proposed approach offers improved suitability for practical power system applications.

International Journal of Electrical Power & Energy SystemsVol. 170
China Electric Equipment Group (China) (CN), Shanghai Electric (China) (CN), Jiangsu Key Laboratory of 3D Printing Equipment and Manufacturing (CN), Southeast University (CN)
Ministry of Industry and Information Technology of the People's Republic of China, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 85%
Power System Optimization and Stability
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