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A novel fuzzy proportional-integral derivative (PID) controller is proposed in this study for automatic generation control (AGC) of interconnected power systems. The optimum gains of the proposed fuzzy PID controller are optimised employing a hybrid differential evolution particle swarm optimisation (DEPSO) technique using an integral of time multiplied by absolute value of error criterion. The superiority of hybrid DEPSO algorithm over differential evolution and particle swarm optimisation (PSO) algorithm has also been demonstrated. The results are also compared with some recently published approaches such as artificial bee colony and PSO based proportional-integral/PID controllers for the same interconnected power systems. Furthermore, performance of the proposed system is analysed by varying the different parameters such as loading condition, system parameters and objective functions. It is observed that the optimum gains of the proposed fuzzy PID controller need not be reset even if the system is subjected to variation in loading condition and system parameters. Finally, the study is extended to a three area system considering generation rate constraint to demonstrate the ability of the proposed approach to cope with multiple interconnected systems. Comparison with previous AGC methods reported in the literature validates the significance of the proposed approach.

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While conventional P, PI, PID controllers are widely used in industries they exhibit poor performance and sluggish response when applied to an induction motor drive. These controllers are even very sensitive to parameter variations and also have stability issues. But the advancement in fuzzy logic has made fuzzy logic controllers more robust, accurate and fast. In this paper, a scalar V/f control strategy is implemented with fuzzy logic controllers of different structures like PI, PD and PID. Then the performance of the drive system is simulated and evaluated. Our results show that PID type fuzzy logic scheme gives a superior performance as compared to PI and PD type controllers. The modeling of induction motor and control scheme are done using Matlab/Simulink.