Application of adaptive-SOS (ASOS) algorithm based interval type-2 fuzzy-PID controller with derivative filter for automatic generation control of an interconnected power system

Abstract

In this article, a maiden comparative performance analysis of interval type-2 fuzzy-PID controller with & without derivative filter (T2FPIDF & T2FPID), type-1 fuzzy-PID controller (T1FPID) and conventional PID controller for Automatic Generation Control (AGC) in a two area interconnected thermal power system is presented. The proposed controllers are optimally designed using a novel adaptive symbiotic organism search (ASOS) & symbiotic organism search (SOS) optimization techniques. Symbiotic organism search (SOS) algorithm is established from the interrelation of organisms to survive in the ecosystem and in this article it is modified by using self-tuned benefit factors. This makes the ASOS superior over SOS. To prove the superiority of ASOS algorithm over SOS algorithm and T2FPIDF controller over other proposed controllers, transient performance of the AGC system is studied by applying a sudden step load change of 10% in area-1 of the two unequal area power system. Various transient parameters such as undershoot, overshoot and settling time are considered to carry out the performance analysis study. Robustness analysis is performed by varying all the system parameters to prove the effectiveness of the proposed controller against parametric variation. Finally it observed that ASOS optimized T2FPIDF controller outperforms other proposed controllers in terms of less undershoot, overshoot and settling time. Keywords: Automatic generation control, Fuzzy logic based controllers, Type-2 fuzzy logic system, Symbiotic organism search algorithm, Adaptive symbiotic organism search algorithm