MODELING AND MODEL PREDICTIVE CONTROL OF A MICROTURBINE GENERATION SYSTEM FOR STAND-ALONE OPERATION

Among a variety of Distributed Generations (DGs), microturbine (MT) generation (MTG) systems are known as highly reliable and efficient sources. The main application of MT include peak shaving, emergency power and remote power in supplying industrial and domestic loads. The MT should support demands in any conditions, which requires its proper control. Therefore, system accuracy and flexible management is crucial issue. Today, Model Predictive Control (MPC) is one of the effective methods for controlling different types of converters. Use of MPC in MTG leads to higher adaptability, outputs precise adjustment and suitable power flow. In this paper, the MPC method is applied to control MTG's inverter irrespective of load type. Moreover, active rectifier is used for proper DC-link voltage regulation. The simulation results indicate MPC appropriate performance to control high-frequency MT in stand-alone mode for various scenarios. In other words, proposed system can operate with constant, variable, non-linear and unbalance loads and output three-phase voltages are not affected by these factors.