Adaptive neurofuzzy sliding mode based damping control for SSSC

Abstract

Static Synchronous Series Compensator (SSSC), a series connected Flexible AC Transmission System (FACTS) controller equipped with supplementary control has proven ability to damp Low Frequency Oscillations (LFOs), without intervening the primary objective of power flow control. In this work, a novel SSSC-based auxiliary control scheme is proposed by synergistic integration of Sliding Mode Control (SMC) and NeuroFuzzy Takagi-Sugeno-Kang (TSK) structure to form an Adaptive NeuroFuzzy Sliding Mode Control (ANFSMC). Backpropagation algorithm utilizing gradient descent optimization technique has been used to update parameters of the proposed controller. The effectiveness of the proposed ANFSMC is validated using nonlinear time domain simulations and various performance indices for different loading conditions and fault scenarios of Single Machine Infinite Bus (SMIB) system. The comparative evaluation of proposed ANFSMC based SSSC with conventional Lead-lag control (LLC) and Adaptive NeuroFuzzy TSK control (ANFTSC) shows the superior performance of ANFSMC in both transient and steady-state regions.