Journal of Electrical Engineering : Volume 17 / 2017 - Edition : 1

PERFORMANCE IMPROVEMENT OF PMSG WIND ENERGY SYSTEMS BY USING CONVERTERS CONTROLLED BY FINITE CONTROL SET MODEL PREDICTIVE CONTROL

Authors:
Tripura Pidikiti
Tulasi Ram Das G
Anupama K
Domain:
power electronics in power grids (from mobile phones to smart power grids)
Abstract:
In this paper performance comparison of NPC (Neutral point Clamped) Inverter and TLB (Three level boost converter) for PMSG (Permanent Magnet Synchronous Generator) based WECS (Wind Energy Conversion Systems) using FSC-MPC (Finite Control Set- Model Predictive Control) and Carrier based PWM control is presented. The generator side three-level boost converter carries out the MPPT and balancing the voltages of DC-link capacitor, whereas the grid side NPC inverter, stabilizes the voltage at the DC-bus and reactive power towards the grid. A Model predictive control procedure was proposed as an alternative to the conventional carrier based PWM scheme to decrease switching losses and to obtain a fast dynamic response. To control the entire system, this method was proposed and to calculate the future performance of control variables, different time prototypes of the defined power electronic converters are used. By using two different cost functions predictions are calculated, and for converters the switching states which can reduce the cost functions are applied. The performance has been tested on 3-MW/3000-V/577-A PMSG in MATLAB/Simulink software.
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