Approaching hybridized GWO-SCA based type-II fuzzy controller in AGC of diverse energy source multi area power system

Abstract

The present article addresses robust control of both frequency and tie line power of a two area six unit diverse energy source based non linear power network. In large interconnected network, deviation in frequency and tie line power occurs due to uncertainty in load variation. In order to keep both frequency and tie line power flow to their nominal values, Automatic Generation Control (AGC) is required. AGC aims proper balance between power generation and electrical demand. In AGC concern the present article proposes a robust type-II fuzzy PID controller to diminish all local error signals (change in frequency ‘Δf’ and change in tie line power flow ‘ΔPtie’) of each control area. Controller tries to keep network frequency and interline power flow within nominal values. To justify supremacy of proposed type-II fuzzy controller a comparative study with fuzzy type-I and conventional PID controllers has been carried out for this analysis. To obtain precious gain parameters of above implemented controllers, a novel hybridized Gray Wolf Optimization and Sine Cosine algorithm (hyGWO-SCA) has been proposed for the study. In fact of this to show supremacy of proposed hyGWO-SCA technique, its performances are compared with host GWO and SCA technique. To verify the robust nature of type-II fuzzy PID controller the work goes through different sensitive analysis. Overall critical assessment of this study concludes, proposed hyGWO-SCA tuned type-II fuzzy controller exhibits superior performance in regard of AGC analysis. Finally the work is extended to four area eight unit interconnected system.