Application of antlion optimizer technique in restructured automatic generation control of two-area hydro-thermal system considering governor dead band

TLDR: Studying proves the superiority of ALO technique over genetic algorithm and particle swarm techniques in providing the better dynamics and lesser values of cost function in different contract conditions.

Abstract: In this article, automatic generation control of two area interconnected system in restructured scenario is addressed. In each area two generation companies (GENCOs), one thermal and other hydro are considered. Dead band nonlinearity is incorporated for governors of the thermal GENCOs. Classical controllers, integral (I), proportional-I (PI) and PI-derivative (PID) are utilized as supplementary controllers. These controller gains are optimized with nature inspired antlion optimizer (ALO) technique. Analysis demonstrates the improved performance of PID controller over I and PI controllers in terms of minimum settling time and reduced peak overshoots in various contract conditions. Sensitivity analysis explores that ALO optimized PID controller parameters found at nominal system conditions are tough enough against variations in system loading and inertia constant parameter. Further, Studies proves the superiority of ALO technique over genetic algorithm and particle swarm techniques in providing the better dynamics and lesser values of cost function in different contract conditions.