Affiliations: [a] College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai, China | [b] State Grid Shanghai Electric Power Company Electric Power Science Research Institute, Shanghai, China | [c] State Grid Anhui Electric Power Co., Ltd., Anqing Power Supply Company, Anqing, China
Correspondence:
[*]
Corresponding author: Ke Li, College of Electronics and Information Engineering, Shanghai University of Electric Power, Shanghai 200090, China. E-mail: [email protected].
Abstract: In order to solve the problem of sub-synchronous oscillation (SSO) of wind power grid-connected system with modular multilevel converter based on high voltage direct current transmission (MMC-HVDC), which is characterized by frequency drift due to the fluctuation of wind power output and the dynamic interaction of MMC. By considering the coupling characteristics of wind power volatility and the internal harmonic dynamics of MMC, we establish a small-signal model of the interconnection system between the equivalent wind farm and MMC-HVDC, study the dominant factors triggering the system oscillation, and use model predictive control (MPC). The results show that the wind farm output, wind farm terminal voltage and terminal current are the dominant factors leading to SSO frequency drift. It is also verified that the MPC-SSDC control not only effectively suppresses SSOs with single frequency drift, but is also effective when multiple SSOs with different frequencies exist simultaneously. It is shown that MPC-SSDC can self-adapt to the multi-oscillation scenario of wind power grid-connected system to provide frequency and damping support for the system.
