Automatic Generation Control using Whale Optimization Algorithm tuned PID Controller

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<div&gt;This research work deals with the automatic generation control of a purely&lt;/div&gt;<div&gt;hydro-power system consisting of three areas. It can be done with the implementation&lt;/div&gt;<div&gt;of an optimization technique for the tuning of the proposed controller. An evolutionary&lt;/div&gt;<div&gt;algorithm called whale optimization algorithm (WOA) has been utilized for the&lt;/div&gt;<div&gt;automatic generation control (AGC) methodology. The control methodology has been&lt;/div&gt;<div&gt;inserted to eliminate the fluctuation with reference to the load connected with the&lt;/div&gt;<div&gt;system. The optimization technique is an important factor in this research work which&lt;/div&gt;<div&gt;is used to attain the desired output from the studied system. The deviation in the&lt;/div&gt;<div&gt;frequency profile for all three areas has been considered for the analysis of the&lt;/div&gt;<div&gt;investigated system. The simulation results yield some investigation based on the&lt;/div&gt;<div&gt;transient response, and through the responses, it may be reported that the propounded&lt;/div&gt;<div&gt;WOA based PID controller may be inserted in the purely hydro system consisting of&lt;/div&gt;<div&gt;three areas for minimizing the fluctuations.</div&gt;