Application of Modern Heuristic Algorithm to Automatic Generation Control of Hybrid Electric Power System with GRC

Abstract— This paper describes the application of modern heuristic optimization algorithm, called pattern search algorithm, to automatic generation control of hybrid interconnected electric system. In this paper, the pattern search algorithm has been proposed for tuning of controller. The controller parameters related to each area have been tuned by the proposed algorithm. Ant colony optimization and a refined Ziegler-Nichols tuning technique have been used as benchmarks. The superiority of the proposed load frequency controller has been demonstrated by comparing with the benchmarks. The inclusion of generation rate constraint results in challenging task for the realization of an effective controller design. This difficulty is further enhanced with step load and random load variations. The effectiveness and validity of the proposed controller are investigated for hybrid distributed generation electric system with generation rate constraint and tie-line operation. The results demonstrate that the adopted optimization technique has presented superior convergence robustness when compared with the benchmarks without/with energy storing element (BESS) for step load and random load variations. Keyword-Automatic Generation Control, Modern Heuristic Algorithm, Generation Rate Constraint, Step load disturbances.