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 the transient response of the DFIG system as well as reduce the computational time of the system, ANN control scheme is implemented in the rotor side and grid side of the small hydropower plant system. The proposed ANN scheme significantly improves the transient behavior of active and reactive power in the rotor side and reactive power and dc bus voltage in the grid side as compared to the PI control scheme. MATLAB/SIMULINK is used for testing, analyzing and comparison of dynamic and steady-state realization of the 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.

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