Abstract
Owing to the stochastic and intermittent of output power of wind farms, the large-scale grid-connected wind power could have a remarkable impact on the power system operation. In this study, wind power fluctuation (WPF) mitigation is achieved from the perspective of power system low-frequency oscillation (LFO). Firstly, in order to meet fluctuation mitigation requirement, model predictive control algorithm is applied to smooth WPF. Secondly, the Hilbert–Huang transform method is used to obtain the influences of wind power before and after smoothing on system LFO. In addition, wind power is decomposed into high, medium and low bands by empirical mode decomposition, and then the impacts of different bands wind power on system LFO are studied. Finally, the influences of wind power with different fluctuation rates on system LFO are analysed based on the WSCC 3-machine 9-bus power system, which provides a theoretical reference for smoothing WPF.
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