On Robust Automatic Generation Control Using Meta-Heuristics Search Based PID Design

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In this paper, a certain class of meta-heuristics search algorithms is fused with the simple feedback linear control theory to offer a fairly new solution for single area Automatic Generation Control system in a robust manner. The designed optimal PID controller is used to regulate the Load Frequency in reheat steam turbine single-area power system. The goal of the design is to minimize the demand side variation effect while improving the transient performance of the system frequency. Using diverse simulation tests - where different kind variations in load demand and parameters change are applied - the feasibility and effectiveness of the proposed controller are illustrated. The proposed design procedure extends previous results by considering both turbine generation rate constraint and governor dead band inherent nonlinearities simultaneously. The main contribution of this paper is that a simple and straightforward optimal controller scheme that guarantees not only the stability of the single area AGC system frequency but also ensure the robustness of the controller structure against system parameters, operating point and load variations is obtained.
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Load Frequency Control; Ant System Optimization; Proportional-Integral-Derivative Control; Generation Rate Constraint

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