Application of ANN load model for transient stability analysis

Precise load modeling is an essential factor in the simulation and evaluation of power system performance. However, conventional load modeling techniques have some limitations with respect to accuracy for nonlinear and composite loads. Thus, an intelligent load modeling method based on neural network and application technique for transient stability analysis are proposed in this research. ANN with Levenberg-Marquardt back-propagation learning rule was used for load modeling. The constructed ANN models are used to transient stability analysis. Voltage and frequency calculated by stability process are used for input of ANN load model and output of ANN load model are inputted to stability process. Validity of proposed method is verified through case studies.