Performance Enhancement of DFIG Based Grid Connected SHPP Using ANN Controller

In the current span of time, Small Hydro Power Plant (SHPP) is gaining more attention due to its numerous pros among all the various renewable energy sources. The prime objective of this paper to present the comparative analysis of Proportional Integral (PI)control and Artificial neural network (ANN) control strategy which is used in doubly fed induction generator based SHPP. Traditionally presented PI control scheme has numerous limitations due to nonlinear model of DFIG, as well as PI control scheme, needs plentiful mathematical equations. To significantly improve transient response of DFIG system as well as reduce the computational time of the system, ANN control scheme is implemented in rotor side and grid side of the small hydro power plant system. The proposed ANN scheme significantly improves the transient behaviour of active and reactive power in rotor side and reactive power and de bus voltage in grid side as compare to PI control scheme. MATLAB/SIMULINK is used for testing, analysing and comparison of dynamic and steady state realization of proposed controller scheme. The stability of the system is constant under various load circumstances and it is scrutinized with the help of model and simulated results.