Subsynchronous oscillation (SSO) in grid-connected permanent magnet synchronous generators (PMSG) arises from the combined effects of control parameters, operating conditions, and grid strength. Existing studies focus on the design of converter control parameters but overlook their adaptability to changes in operating conditions and grid strength. This oversight can lead to challenges in adapting fixed control parameters to varying conditions, potentially inducing SSO. This paper develops a multi-damping path model to analyze the SSO characteristics of grid-connected PMSG systems. It quantitatively evaluates how changes in operating conditions and grid strength affect the adaptability of control parameters and SSO damping. The study reveals the intricate coupling relationship between the feasible domain of control parameters under stability constraints and variations in grid strength and operating conditions. It confirms that in certain scenarios, a single set of control parameters may not meet the stability requirements across different operating conditions and grid strengths. The effectiveness of the proposed model and the theoretical analysis results are verified through simulations. The findings provide essential theoretical guidance for the adaptive adjustment of control parameters in grid-connected PMSG systems under various operating conditions and grid strengths.
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Yan et al. (2024) studied this question.
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