Design of P-I-D Based TCSC Controller for SMIB System Using Artificial Neural Network

In the present work, the application of thyristor-controlled series capacitor (TCSC) is investigated for damping oscillation of single-machine infinite bus (SMIB) power system. The analysis is performed by considering proportional–integral–differential (P-I-D) controller for TCSC, and gain settings of the P-I-D controller of TCSC are optimized using Krill Herd Algorithm (KHA) for different values of generator active power and terminal voltage. The optimized values of gains of P-I-D controller are used for training the multilayered feedforward artificial neural network (ANN)-based controller for real-time tuning. Dynamic performances considering TCSC equipped with ANN-based P-I-D controller and the P-I-D controller optimized with KHA are compared, and it is seen that ANN-based P-I-D controller for TCSC performs well under different operating conditions.

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