Model Predictive Control of Grid-Connected Wind Energy Conversion System
Apoorva Srivastava, RK Bajpai
Abstract
Wind power technology can contribute to the distribution system by regulating its active power output to enhance the system reliability. Additionally, it could be economically beneficial to improve voltage quality as well as load sharing with generation at various times, avoiding load shedding and risk of potential blackouts. However, output power of the wind turbine system is variable in nature and it is difficult to export this power into the distribution system without having any appropriate control strategy. To address this issue, a model predictive control (MPC) strategy has been proposed to regulate the voltage of the feeder to balance sinusoid and for power flow control, a reference phase angle delta is generated which maintains power balance at grid terminal during wind and load variations. Effectiveness of the proposed control strategy is investigated using MATLAB/Simulink simulation studies and a hardware design of a single-phase distribution system using dSPACE platform.