Variable weight coefficient MPC control strategy for qZSI‐VSG wind power grid‐connected system

Quasi-Z source inverters (qZSI) can overcome the disadvantages of conventional wind power systems, because achieving balanced DC-link voltage by using its boost ability. The majority currently used control methods for are susceptible to parameter changes, and qZSI controlled finite switching sequence model predictive (FSS-MPC). In this paper, a Variable weight coefficient Model Predictive Control (V-MPC) strategy is proposed. First, based on optimal scheduling algorithm, according priority object. proportioning weights global feasible solution local in algorithm coordinated. Then, equality-constraints quadratic programming method, relationship between system frequency reference value, increase or proportion VSG improve ability suppress fluctuations. It give full play short-term support role virtual synchronous turbine. modeling testing findings validate suggested strategy. When compared set (FCS-MPC), V-MPC minimize big store inductance current ripple have lower THD load currents waveform.