Direct Model Predictive Control of Grid Connected PMSG Based Wind Energy System with LCL Filter

This paper presents a direct model predictive control (DMPC) for a grid-connected permanent magnet synchronous generator (PMSG) based wind energy conversion system with an LCL filter. To design the DMPC, first, the output voltage of the grid side voltage source converter (VSC) and grid currents are modelled appropriately including the LCL filter. Second, to reg-ulate the variable switching frequency of the VSC, the switching frequency control is comprehended in the cost function while preserving the finite nature of the DMPC. A heuristic approach has been adopted to choose the proper weighting factors for the switching frequency control that prompts a fairly narrow range of switching frequencies. Finally, a modified design of the LCL filter has been proposed that incorporates filter parameters and removes the requirement of complex iterative calculations. The proposed DMPC and modified design of the LCL filter have been simulated in the MATLAB/ Simulink platform. To validate the simulation results a laboratory-scale experimental setup has been built using the dSpace MicroLabBox. The simulation and experimental results confirm the efficacy of the proposed DMPC and modified design of the LCL filter in both steady-state and dynamic operating conditions.