Evolution of Interval Eigenvalue Problems and its Applications to the Uncertain Dynamic Problems

Maiti, Suman; Chakraverty, Snehashish

doi:10.1007/s11831-022-09837-1

Cited by 1 publication

(1 citation statement)

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“…Calculating precise eigenvalue bounds for general interval matrices is an NP-hard problem [13]. Instead of resorting to the exact bounds of interval matrices, numerous works have been dedicated to computing the outer bounds of interval matrices.…”

Section: Introductionmentioning

confidence: 99%

Interval analysis of the small‐signal stability of grid‐connected voltage‐source converter system considering multiparameter uncertainty

Ouyang,

Shao,

Jiang

et al. 2024

IET Energy Syst Integration

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Grid‐connected voltage source converters (VSCs) have been broadly applied in modern power system. However, instability issues may be triggered by the integration of grid‐connected VSCs, jeopardising the operation of the power grid. Conventional stability analysis methods can be utilised to derive system stability margins under nominal conditions. Whereas grid‐connected VSCs inevitably operate under multiparameter uncertainty, which may result in overly optimistic or even incorrect estimations of stability margins, thereby posing potential risks to system operation. To address this issue, an interval small‐signal stability analysis approach is proposed to investigate the system stability under multiparameter uncertainty. First, the interval state‐space model of the grid‐connected VSC system is constructed based on interval symbolic linearisation. Furthermore, the interval eigenvalue decomposition is introduced to calculate the interval eigenvalue distribution of the interval state‐space model. Eventually, the upper bounds of the real part of the dominant interval eigenvalues are utilised for deriving interval stable parameter regions. Results of Monte Carlo analysis and time‐domain simulations of the grid‐connected VSC system are utilised to verify the effectiveness of the proposed interval stability analysis method.

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Section: Introductionmentioning

confidence: 99%