Power Flow Control and Power Quality Improvement in DFIG Based Wind Energy Conversion System Using Neuro Fuzzy System

摘要

Now a days, the renewable energy sources based on wind energy is one of the most accomplished system. The operation and control of the grid side converter of doubly fed induction generator (DFIG) connected to wind turbine to improve the power flow control, stator and rotor control is achieved during unbalance load conditions, the RSC and GSC that are connected back-to-back through a dc-link capacitor. In standalone PV/Wind sources cannot generate power round the clock and all over the year. Due to this reason balance load power is necessary to add battery bank/FC to the generating system. The proposed system is Power Flow Control and Power Quality Improvement in DFIG Based Wind Energy Conversion System Using Neuro Fuzzy System, the phase locked loop (PLL) is synchronized to a reference frequency generated inside the system. The proposed load/battery management system regulates the battery set points for improvement in the performance. The supercapacitor based storage system is used for balance the load at intermittent conditions to satisfy above features. The whole research work and analysis has been carried out in MATLAB/SIMULINK environment for DFIG based on WECS.