Abstract
The novel moth-flame optimization (MFO) algorithm has been employed for the automatic generation control (AGC) mechanism of a three-area hydro power system model. This work is to suppress the damped oscillations, subjected to perturbation of load, for the studied model. The present aspect investigates the responses, which is dynamic in nature, in respect of area frequency and power of tie-line oscillations (the two main AGC indices). The constrained optimization problems that play key roles in the design of controller gains are formulated by implementing the propounded MFO algorithm. System AGC responses with the designed controller parameters are studied with two different natures of load profiles. The proposed MFO algorithm based fast acting Sugeno fuzzy logic (SFL) technique is applied for the investigated model of power system to obtain AGC responses for on-line, off-nominal operating condition. In both the off-line as well as the on-line normal operating conditions, robustness of the proposed MFO-SFL controllers is checked by varying some important physical parameters that deviate by ±25% from their rated values. The simulation based outcomes reveal that the propounded MFO based PID controller exhibit more dynamic control with robust performance as juxtaposed to the studied genetic algorithm based approach.
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