LOAD FREQUENCY CONTROL OF ELECTRIC POWER SYSTEM OF DOUBLY FED INDUCTION GENERATOR

ELECTRICAL ENGINEERING

The majority of load frequency control (LFC) are outfitted with integral controllers. The variable speed of Doubly Fed Induction Generator (DFIG)-based wind turbines results in variable power generation and nonlinearity in the systems. Large frequency deviation resulting from increased wind power penetration. The integral gain is set to a level that strikes a balance between rapid transient recovery and low overshoot in the overall system's dynamic response. In addition, these controllers are sluggish and cannot account for changes in operating condition and nonlinearity within the generator unit. This places stress on thermal and quick-response generators (Increased requirements on system flexibility). Additionally, it lacks robustness. Therefore, controllers based on Artificial Neural Networks (ANN) can alleviate these issues. The proposed LFC study has implemented ANN-based ANFIS controllers on two area wind integrated power systems in order to simulate the dynamic response of control areas with different loading conditions. The obtained simulation results are satisfactory. The results indicate that ANN-based ANFIS controls wind-integrated nonlinear systems more effectively.

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