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An improved model predictive control of low voltage ride through in a permanent magnet synchronous generator in wind turbine systems
Author(s) -
Babaghorbani Behnaz,
Hamidi Beheshti Mohammad Taghi,
Talebi Heidar Ali
Publication year - 2019
Publication title -
asian journal of control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.769
H-Index - 53
eISSN - 1934-6093
pISSN - 1561-8625
DOI - 10.1002/asjc.2149
Subject(s) - permanent magnet synchronous generator , grid code , control theory (sociology) , fault (geology) , wind power , rotor (electric) , ac power , matlab , turbine , maximum power point tracking , engineering , voltage , low voltage ride through , computer science , electrical engineering , control (management) , inverter , mechanical engineering , artificial intelligence , seismology , geology , operating system
This research investigates a wind energy conversion system based on a permanent magnet synchronous generator (PMSG). In addition, a model predictive control (MPC) is proposed for the PMSG in normal and fault conditions. The most efficient mode of the control algorithm is found for maximum power point tracking in normal conditions and fast dynamic response in fault conditions following the selection of the optimum voltage vector. This method prevents a sudden increase in the DC‐link voltage by storing the active power in the generator rotor inertia. Moreover, during the low voltage, the grid code adoption of the reactive current is injected into the grid side. The performance of the proposed control scheme is evaluated for a wind power generator using MATLAB software. The simulation results demonstrate that the proposed method can safeguard the DC‐link during the fault.