Robustness Analysis of LFC for Multi Area Power System integrated with SMES–TCPS by Artificial Intelligent Technique

Abstract

Load frequency control (LFC) plays an essential role in a power system (PS) to sustain the grid frequency for the period of sudden load demand variations. Hence, this manuscript deals with the execution of adaptive neuro fuzzy inference system (ANFIS) approach for LFC of three-area unequal thermal power system. The ANFIS controller proposed in the manuscript combines the advantages of Fuzzy Logic Control (FLC) as well as rapid response and flexible nature of artificial neural network. To improve the LFC performance, offered controller is simulated with superconducting magnetic energy storage (SMES) units and Thyristor controlled phase shifter (TCPS) individually and in combination. The performance of proposed ANFIS controller is superior and robust compared to existing control schemes and improved performance is observed particularly in the presence of SMES–TCPS combination. The realization of SMES & TCPS combination curtail frequency and tie power variation quickly after an unexpected load disturbance. To validate the usefulness of the proposed controller, integral time weighted absolute error (ITAE) and integral square error (ISE) performance error indices are used. Robustness of offered controller is demonstrated against wide variation in the system parameters.