Comparative Performance Analysis of PID Controller with Filter for Automatic Generation Control with Moth-Flame Optimization Algorithm

Abstract

This paper introduces the comprehensive study of automatic generation control (AGC) system with proportional integral derivative controller with filter (PIDF). A nature-inspired optimization algorithm that is moth-flame optimization (MFO) algorithm is employed for controller gains concurrent optimization. First, a two-area non-reheat interconnected thermal power system is investigated and obtained superior performance with MFO-tuned PI controller as equated to recent competitive optimization techniques, but major improvement is investigated with PIDF controller. Then, the work is continued to a three-area interconnected hybrid system with proper generation rate constraint (GRC). PIDF controller can be implemented as secondary controller in the areas, whose performance is equated with conventional controllers. Result analysis divulges that MFO-tuned PIDF controller performs effective than all other controllers considered in this article. Robustness of the proposed technique is evaluated using sensitivity analysis.