4.6 Article

Small-Signal Modeling and Analysis of MMC Under Unbalanced Grid Conditions Based on Linear Time-Periodic (LTP) Method

Journal

IEEE TRANSACTIONS ON POWER DELIVERY
Volume 36, Issue 1, Pages 205-214

Publisher

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TPWRD.2020.2976776

Keywords

Eigenvalue locus; floquet-lyapunov theory; linear time periodic (LTP); modular multilevel converters (MMC); unbalance grid conditions

Funding

  1. National Key Research and Development Program [2016YFB0900100]
  2. Project of China Southern Power Grid Co., Ltd. (CSG) [ZDKJXM20180076]

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In this paper, a general small-signal LTP model under unbalanced grid conditions for MMC is established based on the inherent periodic time-varying characteristic of MMC's original relationships. The effects of controller parameters and interactions between different controllers on small-signal dynamics are studied using the eigenvalue locus analysis method from Floquet-Lyapunov theory. Results from the detailed nonlinear MMC model are provided to verify the effectiveness of the proposed analysis.
As in grid-tied Modular Multilevel Converters (MMC), the steady-state operation under asymmetric grid conditions is rather general, especially for the overhead line of the AC network. Therefore, the small-signal dynamics of MMC under unbalanced grid conditions have become a great important research topic. In this paper, the inherent periodic time-varying characteristic of MMC's original relationships is given priority consideration. Based on the linear time-periodic (LTP) method, a general small-signal LTP model under unbalanced grid conditions is built considering the internal dynamic of submodules (SMs). Then based on the eigenvalue locus analysis method from Floquet- Lyapunov theory, the effects of controller parameters and interactions between different controllers on small-signal dynamics are studied, respectively. Finally, the results from the detailed nonlinear MMC model are provided to verify the effectiveness of the proposed analysis.

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